[to-remove] dummy change to trigger clingtest=ON
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Nov 30, 2024 in 0s
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1 out of 19 runs failed: tutorial-tmva-TMVA_CNN_Classification (tutorial-tmva-TMVA_CNN_Classification)
artifacts/Test Results alma9/TestResults.xml [took 42s]
Raw output
Error regular expression found in output. Regex=[segmentation violation]
Processing /github/home/ROOT-CI/src/tutorials/tmva/TMVA_CNN_Classification.C...
Filling ROOT tree
Generating image event ... 0
******************************************************************************
*Tree :sig_tree : signal_tree *
*Entries : 1000 : Total = 1042365 bytes File Size = 932378 *
* : : Tree compression factor = 1.12 *
******************************************************************************
*Br 0 :vars : vector<float> *
*Entries : 1000 : Total Size= 1041947 bytes File Size = 931662 *
*Baskets : 34 : Basket Size= 32000 bytes Compression= 1.12 *
*............................................................................*
******************************************************************************
*Tree :bkg_tree : background_tree *
*Entries : 1000 : Total = 1042373 bytes File Size = 932332 *
* : : Tree compression factor = 1.12 Info in <MakeImagesTree>: Signal and background tree with images data written to the file images_data_16x16.root
*
******************************************************************************
*Br 0 :vars : vector<float> *
*Entries : 1000 : Total Size= 1041947 bytes File Size = 931598 *
*Baskets : 34 : Basket Size= 32000 bytes Compression= 1.12 *
*............................................................................*
Running with nthreads = 4
DataSetInfo : [dataset] : Added class "Signal"
: Add Tree sig_tree of type Signal with 1000 events
DataSetInfo : [dataset] : Added class "Background"
: Add Tree bkg_tree of type Background with 1000 events
Factory : Booking method: [NON-XML-CHAR-0x1B][1mBDT[NON-XML-CHAR-0x1B][0m
:
: Rebuilding Dataset dataset
: Building event vectors for type 2 Signal
: Dataset[dataset] : create input formulas for tree sig_tree
: Using variable vars[0] from array expression vars of size 256
: Building event vectors for type 2 Background
: Dataset[dataset] : create input formulas for tree bkg_tree
: Using variable vars[0] from array expression vars of size 256
DataSetFactory : [dataset] : Number of events in input trees
:
:
: Number of training and testing events
: ---------------------------------------------------------------------------
: Signal -- training events : 800
: Signal -- testing events : 200
: Signal -- training and testing events: 1000
: Background -- training events : 800
: Background -- testing events : 200
: Background -- training and testing events: 1000
:
Factory : Booking method: [NON-XML-CHAR-0x1B][1mTMVA_DNN_CPU[NON-XML-CHAR-0x1B][0m
:
: Parsing option string:
: ... "!H:V:ErrorStrategy=CROSSENTROPY:VarTransform=None:WeightInitialization=XAVIER:Layout=DENSE|100|RELU,BNORM,DENSE|100|RELU,BNORM,DENSE|100|RELU,BNORM,DENSE|100|RELU,DENSE|1|LINEAR:TrainingStrategy=LearningRate=1e-3,Momentum=0.9,Repetitions=1,ConvergenceSteps=5,BatchSize=100,TestRepetitions=1,MaxEpochs=10,WeightDecay=1e-4,Regularization=None,Optimizer=ADAM,DropConfig=0.0+0.0+0.0+0.:Architecture=CPU"
: The following options are set:
: - By User:
: <none>
: - Default:
: Boost_num: "0" [Number of times the classifier will be boosted]
: Parsing option string:
: ... "!H:V:ErrorStrategy=CROSSENTROPY:VarTransform=None:WeightInitialization=XAVIER:Layout=DENSE|100|RELU,BNORM,DENSE|100|RELU,BNORM,DENSE|100|RELU,BNORM,DENSE|100|RELU,DENSE|1|LINEAR:TrainingStrategy=LearningRate=1e-3,Momentum=0.9,Repetitions=1,ConvergenceSteps=5,BatchSize=100,TestRepetitions=1,MaxEpochs=10,WeightDecay=1e-4,Regularization=None,Optimizer=ADAM,DropConfig=0.0+0.0+0.0+0.:Architecture=CPU"
: The following options are set:
: - By User:
: V: "True" [Verbose output (short form of "VerbosityLevel" below - overrides the latter one)]
: VarTransform: "None" [List of variable transformations performed before training, e.g., "D_Background,P_Signal,G,N_AllClasses" for: "Decorrelation, PCA-transformation, Gaussianisation, Normalisation, each for the given class of events ('AllClasses' denotes all events of all classes, if no class indication is given, 'All' is assumed)"]
: H: "False" [Print method-specific help message]
: Layout: "DENSE|100|RELU,BNORM,DENSE|100|RELU,BNORM,DENSE|100|RELU,BNORM,DENSE|100|RELU,DENSE|1|LINEAR" [Layout of the network.]
: ErrorStrategy: "CROSSENTROPY" [Loss function: Mean squared error (regression) or cross entropy (binary classification).]
: WeightInitialization: "XAVIER" [Weight initialization strategy]
: Architecture: "CPU" [Which architecture to perform the training on.]
: TrainingStrategy: "LearningRate=1e-3,Momentum=0.9,Repetitions=1,ConvergenceSteps=5,BatchSize=100,TestRepetitions=1,MaxEpochs=10,WeightDecay=1e-4,Regularization=None,Optimizer=ADAM,DropConfig=0.0+0.0+0.0+0." [Defines the training strategies.]
: - Default:
: VerbosityLevel: "Default" [Verbosity level]
: CreateMVAPdfs: "False" [Create PDFs for classifier outputs (signal and background)]
: IgnoreNegWeightsInTraining: "False" [Events with negative weights are ignored in the training (but are included for testing and performance evaluation)]
: InputLayout: "0|0|0" [The Layout of the input]
: BatchLayout: "0|0|0" [The Layout of the batch]
: RandomSeed: "0" [Random seed used for weight initialization and batch shuffling]
: ValidationSize: "20%" [Part of the training data to use for validation. Specify as 0.2 or 20% to use a fifth of the data set as validation set. Specify as 100 to use exactly 100 events. (Default: 20%)]
: Will now use the CPU architecture with BLAS and IMT support !
Factory : Booking method: [NON-XML-CHAR-0x1B][1mTMVA_CNN_CPU[NON-XML-CHAR-0x1B][0m
:
: Parsing option string:
: ... "!H:V:ErrorStrategy=CROSSENTROPY:VarTransform=None:WeightInitialization=XAVIER:InputLayout=1|16|16:Layout=CONV|10|3|3|1|1|1|1|RELU,BNORM,CONV|10|3|3|1|1|1|1|RELU,MAXPOOL|2|2|1|1,RESHAPE|FLAT,DENSE|100|RELU,DENSE|1|LINEAR:TrainingStrategy=LearningRate=1e-3,Momentum=0.9,Repetitions=1,ConvergenceSteps=5,BatchSize=100,TestRepetitions=1,MaxEpochs=10,WeightDecay=1e-4,Regularization=None,Optimizer=ADAM,DropConfig=0.0+0.0+0.0+0.0:Architecture=CPU"
: The following options are set:
: - By User:
: <none>
: - Default:
: Boost_num: "0" [Number of times the classifier will be boosted]
: Parsing option string:
: ... "!H:V:ErrorStrategy=CROSSENTROPY:VarTransform=None:WeightInitialization=XAVIER:InputLayout=1|16|16:Layout=CONV|10|3|3|1|1|1|1|RELU,BNORM,CONV|10|3|3|1|1|1|1|RELU,MAXPOOL|2|2|1|1,RESHAPE|FLAT,DENSE|100|RELU,DENSE|1|LINEAR:TrainingStrategy=LearningRate=1e-3,Momentum=0.9,Repetitions=1,ConvergenceSteps=5,BatchSize=100,TestRepetitions=1,MaxEpochs=10,WeightDecay=1e-4,Regularization=None,Optimizer=ADAM,DropConfig=0.0+0.0+0.0+0.0:Architecture=CPU"
: The following options are set:
: - By User:
: V: "True" [Verbose output (short form of "VerbosityLevel" below - overrides the latter one)]
: VarTransform: "None" [List of variable transformations performed before training, e.g., "D_Background,P_Signal,G,N_AllClasses" for: "Decorrelation, PCA-transformation, Gaussianisation, Normalisation, each for the given class of events ('AllClasses' denotes all events of all classes, if no class indication is given, 'All' is assumed)"]
: H: "False" [Print method-specific help message]
: InputLayout: "1|16|16" [The Layout of the input]
: Layout: "CONV|10|3|3|1|1|1|1|RELU,BNORM,CONV|10|3|3|1|1|1|1|RELU,MAXPOOL|2|2|1|1,RESHAPE|FLAT,DENSE|100|RELU,DENSE|1|LINEAR" [Layout of the network.]
: ErrorStrategy: "CROSSENTROPY" [Loss function: Mean squared error (regression) or cross entropy (binary classification).]
: WeightInitialization: "XAVIER" [Weight initialization strategy]
: Architecture: "CPU" [Which architecture to perform the training on.]
: TrainingStrategy: "LearningRate=1e-3,Momentum=0.9,Repetitions=1,ConvergenceSteps=5,BatchSize=100,TestRepetitions=1,MaxEpochs=10,WeightDecay=1e-4,Regularization=None,Optimizer=ADAM,DropConfig=0.0+0.0+0.0+0.0" [Defines the training strategies.]
: - Default:
: VerbosityLevel: "Default" [Verbosity level]
: CreateMVAPdfs: "False" [Create PDFs for classifier outputs (signal and background)]
: IgnoreNegWeightsInTraining: "False" [Events with negative weights are ignored in the training (but are included for testing and performance evaluation)]
: BatchLayout: "0|0|0" [The Layout of the batch]
: RandomSeed: "0" [Random seed used for weight initialization and batch shuffling]
: ValidationSize: "20%" [Part of the training data to use for validation. Specify as 0.2 or 20% to use a fifth of the data set as validation set. Specify as 100 to use exactly 100 events. (Default: 20%)]
: Will now use the CPU architecture with BLAS and IMT support !
Info in <TMVA_CNN_Classification>: Building convolutional keras model
2024-11-30 23:44:59.130359: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-11-30 23:44:59.166655: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-11-30 23:44:59.166698: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-11-30 23:44:59.167916: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-11-30 23:44:59.173912: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-11-30 23:44:59.869904: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
/py-venv/ROOT-CI/lib64/python3.9/site-packages/keras/src/engine/training.py:3103: UserWarning: You are saving your model as an HDF5 file via `model.save()`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')`.
saving_api.save_model(
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
reshape (Reshape) (None, 16, 16, 1) 0
conv2d (Conv2D) (None, 16, 16, 10) 100
batch_normalization (Batch (None, 16, 16, 10) 40
Normalization)
conv2d_1 (Conv2D) (None, 16, 16, 10) 910
max_pooling2d (MaxPooling2 (None, 15, 15, 10) 0
D)
flatten (Flatten) (None, 2250) 0
dense (Dense) (None, 256) 576256
dense_1 (Dense) (None, 2) 514
=================================================================
Total params: 577820 (2.20 MB)
Trainable params: 577800 (2.20 MB)
Non-trainable params: 20 (80.00 Byte)
_________________________________________________________________
Info in <TMVA_CNN_Classification>: Booking tf.Keras CNN model
Factory : Booking method: [NON-XML-CHAR-0x1B][1mPyKeras[NON-XML-CHAR-0x1B][0m
:
: Setting up tf.keras
2024-11-30 23:45:01.666071: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-11-30 23:45:01.702291: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-11-30 23:45:01.702332: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-11-30 23:45:01.703517: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-11-30 23:45:01.712021: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-11-30 23:45:02.462199: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
return self._float_to_str(self.smallest_subnormal)
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
return self._float_to_str(self.smallest_subnormal)
: Using TensorFlow version 2
: Use Keras version from TensorFlow : tf.keras
: Applying GPU option: gpu_options.allow_growth=True
: Loading Keras Model
: Loaded model from file: model_cnn.h5
Info in <TMVA_CNN_Classification>: Using Convolutional PyTorch Model
Factory : Booking method: [NON-XML-CHAR-0x1B][1mPyTorch[NON-XML-CHAR-0x1B][0m
:
Info in <TMVA_CNN_Classification>: Booking PyTorch CNN model
: Using PyTorch - setting special configuration options
: Using PyTorch version 2
: Setup PyTorch Model for training
: Executing user initialization code from /github/home/ROOT-CI/build/tutorials/tmva/PyTorch_Generate_CNN_Model.py
running Torch code defining the model....
The PyTorch CNN model is created and saved as PyTorchModelCNN.pt
custom objects for loading model : {'optimizer': <class 'torch.optim.adam.Adam'>, 'criterion': BCELoss(), 'train_func': <function fit at 0x7f4a8c259700>, 'predict_func': <function predict at 0x7f4a8c259790>}
: Loaded pytorch train function:
: Loaded pytorch optimizer:
: Loaded pytorch loss function:
: Loaded pytorch predict function:
: Loaded model from file: PyTorchModelCNN.pt
Factory : [NON-XML-CHAR-0x1B][1mTrain all methods[NON-XML-CHAR-0x1B][0m
Factory : Train method: BDT for Classification
:
BDT : #events: (reweighted) sig: 800 bkg: 800
: #events: (unweighted) sig: 800 bkg: 800
: Training 200 Decision Trees ... patience please
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: Elapsed time for training with 1600 events: 2.51 sec
BDT : [dataset] : Evaluation of BDT on training sample (1600 events)
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: Elapsed time for evaluation of 1600 events: 0.025 sec
: Creating xml weight file: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVA_CNN_Classification_BDT.weights.xml[NON-XML-CHAR-0x1B][0m
: Creating standalone class: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVA_CNN_Classification_BDT.class.C[NON-XML-CHAR-0x1B][0m
: TMVA_CNN_ClassificationOutput.root:/dataset/Method_BDT/BDT
Factory : Training finished
:
Factory : Train method: TMVA_DNN_CPU for Classification
:
: Start of deep neural network training on CPU using MT, nthreads = 4
:
: ***** Deep Learning Network *****
DEEP NEURAL NETWORK: Depth = 8 Input = ( 1, 1, 256 ) Batch size = 100 Loss function = C
Layer 0 DENSE Layer: ( Input = 256 , Width = 100 ) Output = ( 1 , 100 , 100 ) Activation Function = Relu
Layer 1 BATCH NORM Layer: Input/Output = ( 100 , 100 , 1 ) Norm dim = 100 axis = -1
Layer 2 DENSE Layer: ( Input = 100 , Width = 100 ) Output = ( 1 , 100 , 100 ) Activation Function = Relu
Layer 3 BATCH NORM Layer: Input/Output = ( 100 , 100 , 1 ) Norm dim = 100 axis = -1
Layer 4 DENSE Layer: ( Input = 100 , Width = 100 ) Output = ( 1 , 100 , 100 ) Activation Function = Relu
Layer 5 BATCH NORM Layer: Input/Output = ( 100 , 100 , 1 ) Norm dim = 100 axis = -1
Layer 6 DENSE Layer: ( Input = 100 , Width = 100 ) Output = ( 1 , 100 , 100 ) Activation Function = Relu
Layer 7 DENSE Layer: ( Input = 100 , Width = 1 ) Output = ( 1 , 100 , 1 ) Activation Function = Identity
: Using 1280 events for training and 320 for testing
: Compute initial loss on the validation data
: Training phase 1 of 1: Optimizer ADAM (beta1=0.9,beta2=0.999,eps=1e-07) Learning rate = 0.001 regularization 0 minimum error = 71.1906
: --------------------------------------------------------------
: Epoch | Train Err. Val. Err. t(s)/epoch t(s)/Loss nEvents/s Conv. Steps
: --------------------------------------------------------------
: Start epoch iteration ...
: 1 Minimum Test error found - save the configuration
: 1 | 0.827104 0.960126 0.0461301 0.00624586 30087 0
: 2 Minimum Test error found - save the configuration
: 2 | 0.671227 0.75906 0.0444089 0.0056514 30961.8 0
: 3 Minimum Test error found - save the configuration
: 3 | 0.543677 0.748139 0.0450587 0.00573212 30513.7 0
: 4 Minimum Test error found - save the configuration
: 4 | 0.490448 0.732958 0.0448161 0.00576835 30731.6 0
: 5 Minimum Test error found - save the configuration
: 5 | 0.429344 0.685516 0.0446503 0.00563658 30758.4 0
: 6 | 0.369245 0.715401 0.0420492 0.00342913 31071.9 1
: 7 | 0.315089 0.721752 0.0425324 0.0035081 30750.1 2
: 8 | 0.284142 0.707085 0.0427766 0.0034773 30534.9 3
: 9 | 0.264661 0.80193 0.0424675 0.00350443 30798.4 4
: 10 | 0.237355 0.756924 0.0432504 0.00351223 30197.6 5
:
: Elapsed time for training with 1600 events: 0.47 sec
: Evaluate deep neural network on CPU using batches with size = 100
:
TMVA_DNN_CPU : [dataset] : Evaluation of TMVA_DNN_CPU on training sample (1600 events)
: Elapsed time for evaluation of 1600 events: 0.0173 sec
: Creating xml weight file: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVA_CNN_Classification_TMVA_DNN_CPU.weights.xml[NON-XML-CHAR-0x1B][0m
: Creating standalone class: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVA_CNN_Classification_TMVA_DNN_CPU.class.C[NON-XML-CHAR-0x1B][0m
Factory : Training finished
:
Factory : Train method: TMVA_CNN_CPU for Classification
:
: Start of deep neural network training on CPU using MT, nthreads = 4
:
: ***** Deep Learning Network *****
DEEP NEURAL NETWORK: Depth = 7 Input = ( 1, 16, 16 ) Batch size = 100 Loss function = C
Layer 0 CONV LAYER: ( W = 16 , H = 16 , D = 10 ) Filter ( W = 3 , H = 3 ) Output = ( 100 , 10 , 10 , 256 ) Activation Function = Relu
Layer 1 BATCH NORM Layer: Input/Output = ( 10 , 256 , 100 ) Norm dim = 10 axis = 1
Layer 2 CONV LAYER: ( W = 16 , H = 16 , D = 10 ) Filter ( W = 3 , H = 3 ) Output = ( 100 , 10 , 10 , 256 ) Activation Function = Relu
Layer 3 POOL Layer: ( W = 15 , H = 15 , D = 10 ) Filter ( W = 2 , H = 2 ) Output = ( 100 , 10 , 10 , 225 )
Layer 4 RESHAPE Layer Input = ( 10 , 15 , 15 ) Output = ( 1 , 100 , 2250 )
Layer 5 DENSE Layer: ( Input = 2250 , Width = 100 ) Output = ( 1 , 100 , 100 ) Activation Function = Relu
Layer 6 DENSE Layer: ( Input = 100 , Width = 1 ) Output = ( 1 , 100 , 1 ) Activation Function = Identity
: Using 1280 events for training and 320 for testing
: Compute initial loss on the validation data
: Training phase 1 of 1: Optimizer ADAM (beta1=0.9,beta2=0.999,eps=1e-07) Learning rate = 0.001 regularization 0 minimum error = 54.2681
: --------------------------------------------------------------
: Epoch | Train Err. Val. Err. t(s)/epoch t(s)/Loss nEvents/s Conv. Steps
: --------------------------------------------------------------
: Start epoch iteration ...
: 1 Minimum Test error found - save the configuration
: 1 | 2.27058 1.14458 1.71222 0.159394 772.785 0
: 2 Minimum Test error found - save the configuration
: 2 | 0.903878 0.925628 1.76384 0.154876 745.821 0
: 3 Minimum Test error found - save the configuration
: 3 | 0.762952 0.687949 1.83794 0.157106 713.93 0
: 4 Minimum Test error found - save the configuration
: 4 | 0.676979 0.682721 1.7824 0.153993 736.916 0
: 5 Minimum Test error found - save the configuration
: 5 | 0.658525 0.674495 1.75281 0.159224 753.017 0
: 6 Minimum Test error found - save the configuration
: 6 | 0.643089 0.663563 1.82218 0.15719 720.727 0
: 7 Minimum Test error found - save the configuration
: 7 | 0.624819 0.658349 1.8596 0.158781 705.543 0
: 8 Minimum Test error found - save the configuration
: 8 | 0.617388 0.641765 1.86454 0.158694 703.463 0
: 9 | 0.594847 0.651235 1.85823 0.152471 703.5 1
: 10 Minimum Test error found - save the configuration
: 10 | 0.571589 0.609116 1.88653 0.160341 695.174 0
:
: Elapsed time for training with 1600 events: 18.3 sec
: Evaluate deep neural network on CPU using batches with size = 100
:
TMVA_CNN_CPU : [dataset] : Evaluation of TMVA_CNN_CPU on training sample (1600 events)
: Elapsed time for evaluation of 1600 events: 0.805 sec
: Creating xml weight file: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVA_CNN_Classification_TMVA_CNN_CPU.weights.xml[NON-XML-CHAR-0x1B][0m
: Creating standalone class: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVA_CNN_Classification_TMVA_CNN_CPU.class.C[NON-XML-CHAR-0x1B][0m
Factory : Training finished
:
Factory : Train method: PyKeras for Classification
:
:
: [NON-XML-CHAR-0x1B][1m================================================================[NON-XML-CHAR-0x1B][0m
: [NON-XML-CHAR-0x1B][1mH e l p f o r M V A m e t h o d [ PyKeras ] :[NON-XML-CHAR-0x1B][0m
:
: Keras is a high-level API for the Theano and Tensorflow packages.
: This method wraps the training and predictions steps of the Keras
: Python package for TMVA, so that dataloading, preprocessing and
: evaluation can be done within the TMVA system. To use this Keras
: interface, you have to generate a model with Keras first. Then,
: this model can be loaded and trained in TMVA.
:
:
: <Suppress this message by specifying "!H" in the booking option>
: [NON-XML-CHAR-0x1B][1m================================================================[NON-XML-CHAR-0x1B][0m
:
: Split TMVA training data in 1280 training events and 320 validation events
: Training Model Summary
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
reshape (Reshape) (None, 16, 16, 1) 0
conv2d (Conv2D) (None, 16, 16, 10) 100
batch_normalization (Batch (None, 16, 16, 10) 40
Normalization)
conv2d_1 (Conv2D) (None, 16, 16, 10) 910
max_pooling2d (MaxPooling2 (None, 15, 15, 10) 0
D)
flatten (Flatten) (None, 2250) 0
dense (Dense) (None, 256) 576256
dense_1 (Dense) (None, 2) 514
=================================================================
Total params: 577820 (2.20 MB)
Trainable params: 577800 (2.20 MB)
Non-trainable params: 20 (80.00 Byte)
_________________________________________________________________
: Option SaveBestOnly: Only model weights with smallest validation loss will be stored
*** Break *** segmentation violation
Generating stack trace...
0x00007f4b8866c162 in <unknown> from /github/home/ROOT-CI/build/lib/libCore.so
0x00007f4b87d17730 in <unknown> from /lib64/libc.so.6
0x00007f4b5d06e0ad in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5d06ca19 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5d06ce67 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5d07069e in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5ceb78a4 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5d06ca2b in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5d06ef47 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5d06edb6 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5ce9109b in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5cc75882 in tensorflow::grappler::MetaOptimizer::RunOptimizer(tensorflow::grappler::GraphOptimizer*, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem*, tensorflow::GraphDef*, tensorflow::grappler::MetaOptimizer::GraphOptimizationResult*) + 0x392 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5cc7454a in tensorflow::grappler::MetaOptimizer::OptimizeGraph(std::vector<std::unique_ptr<tensorflow::grappler::GraphOptimizer, std::default_delete<tensorflow::grappler::GraphOptimizer> >, std::allocator<std::unique_ptr<tensorflow::grappler::GraphOptimizer, std::default_delete<tensorflow::grappler::GraphOptimizer> > > > const&, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem&&, tensorflow::GraphDef*) + 0x79a from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5cc789a5 in tensorflow::grappler::MetaOptimizer::OptimizeConsumeItem(tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem&&, tensorflow::GraphDef*) + 0x1745 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5cc79fae in tensorflow::grappler::RunMetaOptimizer(tensorflow::grappler::GrapplerItem&&, tensorflow::ConfigProto const&, tensorflow::DeviceBase*, tensorflow::grappler::Cluster*, tensorflow::GraphDef*) + 0x9e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5cc7a51f in _ZN10tensorflow8grappler13OptimizeGraphESt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS7_EES9_PNS_25FunctionLibraryDefinitionERKNS_9DeviceSetEPNS_6DeviceERKNS_11ConfigProtoERKS7_RKN + 0x4cf from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5df7f37e in _ZSt13__invoke_implIN4absl12lts_202301256StatusERPFS2_St6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS9_EESB_PN10tensorflow25FunctionLibraryDefinitionERKNSC_9DeviceSetEPNSC_6DeviceER + 0x8e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5df7f22c in _ZNSt17_Function_handlerIFN4absl12lts_202301256StatusESt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS9_EESB_PN10tensorflow25FunctionLibraryDefinitionERKNSC_9DeviceSetEPNSC_6DeviceEP + 0x2c from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5db0d146 in _ZN10tensorflow21OptimizeFunctionGraphERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEENS_9AttrSliceERKNS_22FunctionLibraryRuntime18InstantiateOptionsERKNS_9DeviceSetEPKNS_25FunctionLibraryDefin + 0x17f6 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5db0ddae in _ZN10tensorflow40OptimizeFunctionGraphOrReadFromFileCacheERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEENS_9AttrSliceERKNS_22FunctionLibraryRuntime18InstantiateOptionsERKNS_9DeviceSetEPKNS_25F + 0x1fe from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5dae0160 in tensorflow::ProcessFunctionLibraryRuntime::InstantiateMultiDevice(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x830 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5dae5f86 in tensorflow::ProcessFunctionLibraryRuntime::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x46 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5dad3848 in tensorflow::FunctionLibraryRuntimeImpl::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x118 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5d4cdf7c in tensorflow::FunctionHandleCache::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions, unsigned long*) + 0x1ac from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5df7749d in tensorflow::data::CapturedFunction::Instantiate(tensorflow::data::InstantiateCapturedFunctionParams, std::unique_ptr<tensorflow::data::InstantiatedCapturedFunction, std::default_delete<tensorflow::data::InstantiatedCapturedFunction> >*) + 0x113d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5df76348 in tensorflow::data::CapturedFunction::Instantiate(tensorflow::data::IteratorContext*, std::unique_ptr<tensorflow::data::InstantiatedCapturedFunction, std::default_delete<tensorflow::data::InstantiatedCapturedFunction> >*) + 0x38 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b4ec16d3f in tensorflow::data::MapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x6f from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f4b5d49f9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5113b632 in tensorflow::data::PrefetchDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2d2 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f4b5d49f9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b4ec10674 in tensorflow::data::FlatMapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x1b4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f4b5d49f9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b4ec97e3a in tensorflow::data::ZipDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2da from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f4b5d49f9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5005c506 in tensorflow::data::ParallelMapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x186 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f4b5d49f9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5d49fa3d in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0x15d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5d49fa3d in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0x15d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5113b632 in tensorflow::data::PrefetchDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2d2 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f4b5d49f9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b510c2e81 in tensorflow::data::RootDataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x6b1 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f4b5d49f9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b510b1ea4 in tensorflow::data::IteratorResource::SetIteratorFromDataset(tensorflow::OpKernelContext*, tensorflow::data::DatasetBase const*) + 0x7a4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f4b510b34b0 in tensorflow::data::MakeIteratorOp::DoCompute(tensorflow::OpKernelContext*) + 0xa0 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f4b510b33e1 in tensorflow::data::HybridAsyncOpKernel::Compute(tensorflow::OpKernelContext*) + 0x21 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f4b5dac0540 in tensorflow::ThreadPoolDevice::Compute(tensorflow::OpKernel*, tensorflow::OpKernelContext*) + 0x50 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5db79b68 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5dad80e8 in tensorflow::FunctionLibraryRuntimeImpl::RunSync(tensorflow::FunctionLibraryRuntime::Options, unsigned long, absl::lts_20230125::Span<tensorflow::Tensor const>, std::vector<tensorflow::Tensor, std::allocator<tensorflow::Tensor> >*) + 0x238 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5dae27c9 in _ZNK10tensorflow29ProcessFunctionLibraryRuntime18RunMultiDeviceSyncERKNS_22FunctionLibraryRuntime7OptionsEmPSt6vectorISt7variantIJNS_6TensorENS_11TensorShapeEEESaIS9_EESt8functionIFN4absl12lts_2023012 + 0x6f9 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5dae88b2 in tensorflow::ProcessFunctionLibraryRuntime::RunSync(tensorflow::FunctionLibraryRuntime::Options const&, unsigned long, absl::lts_20230125::Span<tensorflow::Tensor const>, std::vector<tensorflow::Tensor, std::allocator<tensorflow::Tensor> >*) const + 0x212 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4b5028db06 in _ZN10tensorflow19KernelAndDeviceFunc3RunEPNS_19ScopedStepContainerERKNS_15EagerKernelArgsEPSt6vectorISt7variantIJNS_6TensorENS_11TensorShapeEEESaISA_EEPN3tsl19CancellationManagerERKSt8optionalINS_19Ea + 0x156 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f4b490c576e in _ZN10tensorflow18EagerKernelExecuteEPNS_12EagerContextERKN4absl12lts_2023012513InlinedVectorIPNS_12TensorHandleELm4ESaIS6_EEERKSt8optionalINS_19EagerFunctionParamsEERKN3tsl4core11RefCountPtrINS_15Kern + 0x22e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f4b490cfc30 in tensorflow::ExecuteNode::Run() + 0x1f0 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f4b50289184 in tensorflow::EagerExecutor::SyncExecute(tensorflow::EagerNode*) + 0xe4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f4b490c513a in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f4b490c2b86 in tensorflow::DoEagerExecute(tensorflow::EagerOperation*, tensorflow::TensorHandle**, int*) + 0x216 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f4b490c6689 in tensorflow::EagerExecute(tensorflow::EagerOperation*, tensorflow::TensorHandle**, int*) + 0x269 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f4b490c23a7 in tensorflow::EagerOperation::Execute(absl::lts_20230125::Span<tensorflow::AbstractTensorHandle*>, int*) + 0x87 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f4b50287793 in tensorflow::CustomDeviceOpHandler::Execute(tensorflow::ImmediateExecutionOperation*, tensorflow::ImmediateExecutionTensorHandle**, int*) + 0x263 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f4b598cbdf5 in TFE_Execute + 0x45 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f4b5bc12abd in TFE_Py_FastPathExecute_C(_object*) + 0x286d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../_pywrap_tensorflow_internal.so
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0x00007f4b6b13046e in _PyObject_FastCallDictTstate + 0x14e from /lib64/libpython3.9.so.1.0
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0x00007f4b6b212be3 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f4b6b138a18 in PyObject_GetIter + 0x18 from /lib64/libpython3.9.so.1.0
0x00007f4b6b138f20 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f4b6b127147 in _PyEval_EvalFrameDefault + 0x457 from /lib64/libpython3.9.so.1.0
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0x00007f4b6b128183 in _PyEval_EvalFrameDefault + 0x1493 from /lib64/libpython3.9.so.1.0
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0x00007f4b6b1fbca8 in PyRun_StringFlags + 0xa8 from /lib64/libpython3.9.so.1.0
0x00007f4b6b4bea5e in TMVA::PyMethodBase::PyRunString(TString, TString, int) at /github/home/ROOT-CI/src/tmva/pymva/src/PyMethodBase.cxx:327 from /github/home/ROOT-CI/build/lib/libPyMVA.so
0x00007f4b6b4648e4 in TMVA::MethodPyKeras::Train() at /github/home/ROOT-CI/src/tmva/pymva/src/MethodPyKeras.cxx:596 (discriminator 5) from /github/home/ROOT-CI/build/lib/libPyMVA.so
0x00007f4b6a92c18d in TMVA::MethodBase::TrainMethod() at /github/home/ROOT-CI/src/tmva/tmva/src/MethodBase.cxx:671 from /github/home/ROOT-CI/build/lib/libTMVA.so
0x00007f4b6a8e64c1 in TMVA::Factory::TrainAllMethods() at /github/home/ROOT-CI/src/tmva/tmva/src/Factory.cxx:1174 from /github/home/ROOT-CI/build/lib/libTMVA.so
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0x00007f4b801c9ce8 in cling::IncrementalExecutor::executeWrapper(llvm::StringRef, cling::Value*) const + 0xa8 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f4b8015383a in cling::Interpreter::RunFunction(clang::FunctionDecl const*, cling::Value*) at Interpreter.cpp:? from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f4b80156e37 in cling::Interpreter::EvaluateInternal(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, cling::CompilationOptions, cling::Value*, cling::Transaction**, unsigned long) at Interpreter.cpp:? from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f4b80233cdd in cling::MetaSema::actOnxCommand(llvm::StringRef, llvm::StringRef, cling::Value*) + 0x34d from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f4b802435ed in cling::MetaParser::isXCommand(cling::MetaSema::ActionResult&, cling::Value*) at MetaParser.cpp:? from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f4b80245155 in cling::MetaParser::isCommand(cling::MetaSema::ActionResult&, cling::Value*) at MetaParser.cpp:? from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f4b8022c840 in cling::MetaProcessor::process(llvm::StringRef, cling::Interpreter::CompilationResult&, cling::Value*, bool) at MetaProcessor.cpp:? from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f4b7ff1de2a in <unknown> from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f4b7ff1eb60 in TCling::ProcessLine(char const*, TInterpreter::EErrorCode*) at /github/home/ROOT-CI/src/core/metacling/src/TCling.cxx:2607 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f4b7ff224b1 in TCling::ProcessLineSynch(char const*, TInterpreter::EErrorCode*) at /github/home/ROOT-CI/src/core/metacling/src/TCling.cxx:3587 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f4b884df837 in TApplication::ExecuteFile(char const*, int*, bool) at /github/home/ROOT-CI/src/core/base/src/TApplication.cxx:1879 (discriminator 1) from /github/home/ROOT-CI/build/lib/libCore.so
0x00007f4b884df060 in TApplication::ProcessFile(char const*, int*, bool) at /github/home/ROOT-CI/src/core/base/src/TApplication.cxx:1752 from /github/home/ROOT-CI/build/lib/libCore.so
0x00007f4b884dee1f in TApplication::ProcessLine(char const*, bool, int*) at /github/home/ROOT-CI/src/core/base/src/TApplication.cxx:1718 from /github/home/ROOT-CI/build/lib/libCore.so
0x00007f4b888a9b6e in TRint::ProcessLineNr(char const*, char const*, int*) at /github/home/ROOT-CI/src/core/rint/src/TRint.cxx:820 from /github/home/ROOT-CI/build/lib/libRint.so
0x00007f4b888a82b4 in TRint::Run(bool) at /github/home/ROOT-CI/src/core/rint/src/TRint.cxx:461 from /github/home/ROOT-CI/build/lib/libRint.so
0x000000000040143f in main at /github/home/ROOT-CI/src/main/src/rmain.cxx:86 from /github/home/ROOT-CI/build/bin/root.exe
0x00007f4b87d025d0 in <unknown> from /lib64/libc.so.6
0x00007f4b87d02680 in __libc_start_main at :? from /lib64/libc.so.6
0x0000000000401145 in _start + 0x25 from /github/home/ROOT-CI/build/bin/root.exe
CMake Error at /github/home/ROOT-CI/build/RootTestDriver.cmake:232 (message):
error code: 129
Check warning on line 0 in tutorial-tmva-TMVA_Higgs_Classification
github-actions / Test Results
1 out of 19 runs failed: tutorial-tmva-TMVA_Higgs_Classification (tutorial-tmva-TMVA_Higgs_Classification)
artifacts/Test Results alma9/TestResults.xml [took 20s]
Raw output
Error regular expression found in output. Regex=[segmentation violation]
Processing /github/home/ROOT-CI/src/tutorials/tmva/TMVA_Higgs_Classification.C...
Info in <TMVA_Higgs_Classification>: Download Higgs_data.root file
[TFile::Cp] Total 1.50 MB |>...................| 0.00 % [0.0 MB/s][TFile::Cp] Total 1.50 MB |============>.......| 63.42 % [213.7 MB/s][TFile::Cp] Total 1.50 MB |====================| 100.00 % [220.8 MB/s]
Info in <TFile::OpenFromCache>: using local cache copy of http://root.cern/files/Higgs_data.root [./files/Higgs_data.root]
******************************************************************************
*Tree :sig_tree : tree *
*Entries : 10000 : Total = 1177229 bytes File Size = 785298 *
* : : Tree compression factor = 1.48 *
******************************************************************************
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*Baskets : 1 : Basket Size= 1500672 bytes Compression= 130.54 *
*............................................................................*
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*............................................................................*
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*............................................................................*
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*............................................................................*
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*............................................................................*
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DataSetInfo : [dataset] : Added class "Signal"
: Add Tree sig_tree of type Signal with 10000 events
DataSetInfo : [dataset] : Added class "Background"
: Add Tree bkg_tree of type Background with 10000 events
Factory : Booking method: [NON-XML-CHAR-0x1B][1mLikelihood[NON-XML-CHAR-0x1B][0m
:
Factory : Booking method: [NON-XML-CHAR-0x1B][1mFisher[NON-XML-CHAR-0x1B][0m
:
Factory : Booking method: [NON-XML-CHAR-0x1B][1mBDT[NON-XML-CHAR-0x1B][0m
:
: Rebuilding Dataset dataset
: Building event vectors for type 2 Signal
: Dataset[dataset] : create input formulas for tree sig_tree
: Building event vectors for type 2 Background
: Dataset[dataset] : create input formulas for tree bkg_tree
DataSetFactory : [dataset] : Number of events in input trees
:
:
: Number of training and testing events
: ---------------------------------------------------------------------------
: Signal -- training events : 7000
: Signal -- testing events : 3000
: Signal -- training and testing events: 10000
: Background -- training events : 7000
: Background -- testing events : 3000
: Background -- training and testing events: 10000
:
DataSetInfo : Correlation matrix (Signal):
: ----------------------------------------------------------------
: m_jj m_jjj m_lv m_jlv m_bb m_wbb m_wwbb
: m_jj: +1.000 +0.777 +0.010 +0.107 +0.036 +0.517 +0.532
: m_jjj: +0.777 +1.000 +0.006 +0.083 +0.157 +0.682 +0.669
: m_lv: +0.010 +0.006 +1.000 +0.111 -0.026 +0.011 +0.023
: m_jlv: +0.107 +0.083 +0.111 +1.000 +0.325 +0.550 +0.555
: m_bb: +0.036 +0.157 -0.026 +0.325 +1.000 +0.463 +0.347
: m_wbb: +0.517 +0.682 +0.011 +0.550 +0.463 +1.000 +0.912
: m_wwbb: +0.532 +0.669 +0.023 +0.555 +0.347 +0.912 +1.000
: ----------------------------------------------------------------
DataSetInfo : Correlation matrix (Background):
: ----------------------------------------------------------------
: m_jj m_jjj m_lv m_jlv m_bb m_wbb m_wwbb
: m_jj: +1.000 +0.804 +0.017 +0.125 +0.007 +0.381 +0.394
: m_jjj: +0.804 +1.000 +0.025 +0.159 +0.153 +0.535 +0.520
: m_lv: +0.017 +0.025 +1.000 +0.114 +0.042 +0.064 +0.069
: m_jlv: +0.125 +0.159 +0.114 +1.000 +0.286 +0.592 +0.542
: m_bb: +0.007 +0.153 +0.042 +0.286 +1.000 +0.623 +0.441
: m_wbb: +0.381 +0.535 +0.064 +0.592 +0.623 +1.000 +0.878
: m_wwbb: +0.394 +0.520 +0.069 +0.542 +0.441 +0.878 +1.000
: ----------------------------------------------------------------
DataSetFactory : [dataset] :
:
Factory : Booking method: [NON-XML-CHAR-0x1B][1mDNN_CPU[NON-XML-CHAR-0x1B][0m
:
: Parsing option string:
: ... "!H:V:ErrorStrategy=CROSSENTROPY:VarTransform=G:WeightInitialization=XAVIER:InputLayout=1|1|7:BatchLayout=1|128|7:Layout=DENSE|64|TANH,DENSE|64|TANH,DENSE|64|TANH,DENSE|64|TANH,DENSE|1|LINEAR:TrainingStrategy=LearningRate=1e-3,Momentum=0.9,ConvergenceSteps=10,BatchSize=128,TestRepetitions=1,MaxEpochs=30,WeightDecay=1e-4,Regularization=None,Optimizer=ADAM,ADAM_beta1=0.9,ADAM_beta2=0.999,ADAM_eps=1.E-7,DropConfig=0.0+0.0+0.0+0.:Architecture=CPU"
: The following options are set:
: - By User:
: <none>
: - Default:
: Boost_num: "0" [Number of times the classifier will be boosted]
: Parsing option string:
: ... "!H:V:ErrorStrategy=CROSSENTROPY:VarTransform=G:WeightInitialization=XAVIER:InputLayout=1|1|7:BatchLayout=1|128|7:Layout=DENSE|64|TANH,DENSE|64|TANH,DENSE|64|TANH,DENSE|64|TANH,DENSE|1|LINEAR:TrainingStrategy=LearningRate=1e-3,Momentum=0.9,ConvergenceSteps=10,BatchSize=128,TestRepetitions=1,MaxEpochs=30,WeightDecay=1e-4,Regularization=None,Optimizer=ADAM,ADAM_beta1=0.9,ADAM_beta2=0.999,ADAM_eps=1.E-7,DropConfig=0.0+0.0+0.0+0.:Architecture=CPU"
: The following options are set:
: - By User:
: V: "True" [Verbose output (short form of "VerbosityLevel" below - overrides the latter one)]
: VarTransform: "G" [List of variable transformations performed before training, e.g., "D_Background,P_Signal,G,N_AllClasses" for: "Decorrelation, PCA-transformation, Gaussianisation, Normalisation, each for the given class of events ('AllClasses' denotes all events of all classes, if no class indication is given, 'All' is assumed)"]
: H: "False" [Print method-specific help message]
: InputLayout: "1|1|7" [The Layout of the input]
: BatchLayout: "1|128|7" [The Layout of the batch]
: Layout: "DENSE|64|TANH,DENSE|64|TANH,DENSE|64|TANH,DENSE|64|TANH,DENSE|1|LINEAR" [Layout of the network.]
: ErrorStrategy: "CROSSENTROPY" [Loss function: Mean squared error (regression) or cross entropy (binary classification).]
: WeightInitialization: "XAVIER" [Weight initialization strategy]
: Architecture: "CPU" [Which architecture to perform the training on.]
: TrainingStrategy: "LearningRate=1e-3,Momentum=0.9,ConvergenceSteps=10,BatchSize=128,TestRepetitions=1,MaxEpochs=30,WeightDecay=1e-4,Regularization=None,Optimizer=ADAM,ADAM_beta1=0.9,ADAM_beta2=0.999,ADAM_eps=1.E-7,DropConfig=0.0+0.0+0.0+0." [Defines the training strategies.]
: - Default:
: VerbosityLevel: "Default" [Verbosity level]
: CreateMVAPdfs: "False" [Create PDFs for classifier outputs (signal and background)]
: IgnoreNegWeightsInTraining: "False" [Events with negative weights are ignored in the training (but are included for testing and performance evaluation)]
: RandomSeed: "0" [Random seed used for weight initialization and batch shuffling]
: ValidationSize: "20%" [Part of the training data to use for validation. Specify as 0.2 or 20% to use a fifth of the data set as validation set. Specify as 100 to use exactly 100 events. (Default: 20%)]
DNN_CPU : [dataset] : Create Transformation "G" with events from all classes.
:
: Transformation, Variable selection :
: Input : variable 'm_jj' <---> Output : variable 'm_jj'
: Input : variable 'm_jjj' <---> Output : variable 'm_jjj'
: Input : variable 'm_lv' <---> Output : variable 'm_lv'
: Input : variable 'm_jlv' <---> Output : variable 'm_jlv'
: Input : variable 'm_bb' <---> Output : variable 'm_bb'
: Input : variable 'm_wbb' <---> Output : variable 'm_wbb'
: Input : variable 'm_wwbb' <---> Output : variable 'm_wwbb'
: Will now use the CPU architecture with BLAS and IMT support !
Info in <TMVA_Higgs_Classification>: Building deep neural network with keras
2024-11-30 23:42:58.919772: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-11-30 23:42:58.957311: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-11-30 23:42:58.957350: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-11-30 23:42:58.958636: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-11-30 23:42:58.964951: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-11-30 23:42:59.678934: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
/py-venv/ROOT-CI/lib64/python3.9/site-packages/keras/src/engine/training.py:3103: UserWarning: You are saving your model as an HDF5 file via `model.save()`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')`.
saving_api.save_model(
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense (Dense) (None, 64) 512
dense_1 (Dense) (None, 64) 4160
dense_2 (Dense) (None, 64) 4160
dense_3 (Dense) (None, 64) 4160
dense_4 (Dense) (None, 2) 130
=================================================================
Total params: 13122 (51.26 KB)
Trainable params: 13122 (51.26 KB)
Non-trainable params: 0 (0.00 Byte)
_________________________________________________________________
(TString) "python3"[7]
Factory : Booking method: [NON-XML-CHAR-0x1B][1mPyKeras[NON-XML-CHAR-0x1B][0m
:
Info in <TMVA_Higgs_Classification>: Booking tf.Keras Dense model
: Setting up tf.keras
2024-11-30 23:43:01.580793: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-11-30 23:43:01.617744: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-11-30 23:43:01.617788: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-11-30 23:43:01.619010: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-11-30 23:43:01.627345: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-11-30 23:43:02.372931: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
return self._float_to_str(self.smallest_subnormal)
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
return self._float_to_str(self.smallest_subnormal)
: Using TensorFlow version 2
: Use Keras version from TensorFlow : tf.keras
: Applying GPU option: gpu_options.allow_growth=True
: Loading Keras Model
: Loaded model from file: Higgs_model.h5
Factory : [NON-XML-CHAR-0x1B][1mTrain all methods[NON-XML-CHAR-0x1B][0m
Factory : [dataset] : Create Transformation "I" with events from all classes.
:
: Transformation, Variable selection :
: Input : variable 'm_jj' <---> Output : variable 'm_jj'
: Input : variable 'm_jjj' <---> Output : variable 'm_jjj'
: Input : variable 'm_lv' <---> Output : variable 'm_lv'
: Input : variable 'm_jlv' <---> Output : variable 'm_jlv'
: Input : variable 'm_bb' <---> Output : variable 'm_bb'
: Input : variable 'm_wbb' <---> Output : variable 'm_wbb'
: Input : variable 'm_wwbb' <---> Output : variable 'm_wwbb'
TFHandler_Factory : Variable Mean RMS [ Min Max ]
: -----------------------------------------------------------
: m_jj: 1.0352 0.65399 [ 0.14661 13.098 ]
: m_jjj: 1.0218 0.36964 [ 0.34201 7.3920 ]
: m_lv: 1.0497 0.16065 [ 0.26679 3.6823 ]
: m_jlv: 1.0126 0.39935 [ 0.38441 6.5831 ]
: m_bb: 0.98070 0.53223 [ 0.093482 7.8598 ]
: m_wbb: 1.0338 0.35968 [ 0.38503 4.5425 ]
: m_wwbb: 0.96049 0.31009 [ 0.43228 4.0728 ]
: -----------------------------------------------------------
: Ranking input variables (method unspecific)...
IdTransformation : Ranking result (top variable is best ranked)
: -------------------------------
: Rank : Variable : Separation
: -------------------------------
: 1 : m_bb : 9.114e-02
: 2 : m_wwbb : 4.330e-02
: 3 : m_wbb : 4.241e-02
: 4 : m_jjj : 2.875e-02
: 5 : m_jlv : 1.905e-02
: 6 : m_jj : 3.432e-03
: 7 : m_lv : 2.855e-03
: -------------------------------
Factory : Train method: Likelihood for Classification
:
:
: [NON-XML-CHAR-0x1B][1m================================================================[NON-XML-CHAR-0x1B][0m
: [NON-XML-CHAR-0x1B][1mH e l p f o r M V A m e t h o d [ Likelihood ] :[NON-XML-CHAR-0x1B][0m
:
: [NON-XML-CHAR-0x1B][1m--- Short description:[NON-XML-CHAR-0x1B][0m
:
: The maximum-likelihood classifier models the data with probability
: density functions (PDF) reproducing the signal and background
: distributions of the input variables. Correlations among the
: variables are ignored.
:
: [NON-XML-CHAR-0x1B][1m--- Performance optimisation:[NON-XML-CHAR-0x1B][0m
:
: Required for good performance are decorrelated input variables
: (PCA transformation via the option "VarTransform=Decorrelate"
: may be tried). Irreducible non-linear correlations may be reduced
: by precombining strongly correlated input variables, or by simply
: removing one of the variables.
:
: [NON-XML-CHAR-0x1B][1m--- Performance tuning via configuration options:[NON-XML-CHAR-0x1B][0m
:
: High fidelity PDF estimates are mandatory, i.e., sufficient training
: statistics is required to populate the tails of the distributions
: It would be a surprise if the default Spline or KDE kernel parameters
: provide a satisfying fit to the data. The user is advised to properly
: tune the events per bin and smooth options in the spline cases
: individually per variable. If the KDE kernel is used, the adaptive
: Gaussian kernel may lead to artefacts, so please always also try
: the non-adaptive one.
:
: All tuning parameters must be adjusted individually for each input
: variable!
:
: <Suppress this message by specifying "!H" in the booking option>
: [NON-XML-CHAR-0x1B][1m================================================================[NON-XML-CHAR-0x1B][0m
:
: Filling reference histograms
: Building PDF out of reference histograms
: Elapsed time for training with 14000 events: 0.257 sec
Likelihood : [dataset] : Evaluation of Likelihood on training sample (14000 events)
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: Elapsed time for evaluation of 14000 events: 0.0451 sec
: Creating xml weight file: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVA_Higgs_Classification_Likelihood.weights.xml[NON-XML-CHAR-0x1B][0m
: Creating standalone class: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVA_Higgs_Classification_Likelihood.class.C[NON-XML-CHAR-0x1B][0m
: Higgs_ClassificationOutput.root:/dataset/Method_Likelihood/Likelihood
Factory : Training finished
:
Factory : Train method: Fisher for Classification
:
:
: [NON-XML-CHAR-0x1B][1m================================================================[NON-XML-CHAR-0x1B][0m
: [NON-XML-CHAR-0x1B][1mH e l p f o r M V A m e t h o d [ Fisher ] :[NON-XML-CHAR-0x1B][0m
:
: [NON-XML-CHAR-0x1B][1m--- Short description:[NON-XML-CHAR-0x1B][0m
:
: Fisher discriminants select events by distinguishing the mean
: values of the signal and background distributions in a trans-
: formed variable space where linear correlations are removed.
:
: (More precisely: the "linear discriminator" determines
: an axis in the (correlated) hyperspace of the input
: variables such that, when projecting the output classes
: (signal and backg…-----------------------
: ***** Deep Learning Network *****
DEEP NEURAL NETWORK: Depth = 5 Input = ( 1, 1, 7 ) Batch size = 128 Loss function = C
Layer 0 DENSE Layer: ( Input = 7 , Width = 64 ) Output = ( 1 , 128 , 64 ) Activation Function = Tanh
Layer 1 DENSE Layer: ( Input = 64 , Width = 64 ) Output = ( 1 , 128 , 64 ) Activation Function = Tanh
Layer 2 DENSE Layer: ( Input = 64 , Width = 64 ) Output = ( 1 , 128 , 64 ) Activation Function = Tanh
Layer 3 DENSE Layer: ( Input = 64 , Width = 64 ) Output = ( 1 , 128 , 64 ) Activation Function = Tanh
Layer 4 DENSE Layer: ( Input = 64 , Width = 1 ) Output = ( 1 , 128 , 1 ) Activation Function = Identity
: Using 11200 events for training and 2800 for testing
: Compute initial loss on the validation data
: Training phase 1 of 1: Optimizer ADAM (beta1=0.9,beta2=0.999,eps=1e-07) Learning rate = 0.001 regularization 0 minimum error = 1.08926
: --------------------------------------------------------------
: Epoch | Train Err. Val. Err. t(s)/epoch t(s)/Loss nEvents/s Conv. Steps
: --------------------------------------------------------------
: Start epoch iteration ...
: 1 Minimum Test error found - save the configuration
: 1 | 0.678747 0.633855 0.268416 0.026483 46029.3 0
: 2 Minimum Test error found - save the configuration
: 2 | 0.610029 0.597654 0.267681 0.0263035 46135.2 0
: 3 Minimum Test error found - save the configuration
: 3 | 0.588501 0.582431 0.266948 0.0263201 46278.8 0
: 4 | 0.577588 0.584987 0.266606 0.0255838 46203.3 1
: 5 | 0.576227 0.58667 0.267291 0.0256768 46090.1 2
: 6 Minimum Test error found - save the configuration
: 6 | 0.571223 0.576437 0.268331 0.0263266 46015.7 0
: 7 | 0.565736 0.580018 0.268694 0.0258371 45854.3 1
: 8 | 0.563301 0.577816 0.268483 0.0257739 45882 2
: 9 | 0.562971 0.576634 0.268798 0.025857 45838.2 3
: 10 Minimum Test error found - save the configuration
: 10 | 0.559552 0.574166 0.269822 0.0264807 45762.9 0
: 11 | 0.559064 0.580066 0.269471 0.0258642 45713 1
: 12 | 0.557543 0.576937 0.269548 0.0258868 45702.8 2
: 13 | 0.555307 0.579268 0.269876 0.025916 45646.8 3
: 14 | 0.553287 0.578936 0.270414 0.0259052 45544.3 4
: 15 | 0.550345 0.587483 0.270239 0.0259526 45585.9 5
: 16 | 0.550366 0.575786 0.270359 0.0259818 45568.9 6
: 17 | 0.546303 0.575886 0.270706 0.0260329 45513.8 7
: 18 | 0.546372 0.584251 0.270967 0.0260727 45472.7 8
: 19 | 0.544226 0.58238 0.272843 0.0260878 45129.8 9
: 20 | 0.542909 0.583774 0.271844 0.0260515 45306.5 10
: 21 | 0.541344 0.579825 0.271728 0.0260468 45327 11
:
: Elapsed time for training with 14000 events: 5.86 sec
: Evaluate deep neural network on CPU using batches with size = 128
:
DNN_CPU : [dataset] : Evaluation of DNN_CPU on training sample (14000 events)
: Elapsed time for evaluation of 14000 events: 0.136 sec
: Creating xml weight file: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVA_Higgs_Classification_DNN_CPU.weights.xml[NON-XML-CHAR-0x1B][0m
: Creating standalone class: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVA_Higgs_Classification_DNN_CPU.class.C[NON-XML-CHAR-0x1B][0m
Factory : Training finished
:
Factory : Train method: PyKeras for Classification
:
:
: [NON-XML-CHAR-0x1B][1m================================================================[NON-XML-CHAR-0x1B][0m
: [NON-XML-CHAR-0x1B][1mH e l p f o r M V A m e t h o d [ PyKeras ] :[NON-XML-CHAR-0x1B][0m
:
: Keras is a high-level API for the Theano and Tensorflow packages.
: This method wraps the training and predictions steps of the Keras
: Python package for TMVA, so that dataloading, preprocessing and
: evaluation can be done within the TMVA system. To use this Keras
: interface, you have to generate a model with Keras first. Then,
: this model can be loaded and trained in TMVA.
:
:
: <Suppress this message by specifying "!H" in the booking option>
: [NON-XML-CHAR-0x1B][1m================================================================[NON-XML-CHAR-0x1B][0m
:
: Split TMVA training data in 11200 training events and 2800 validation events
: Training Model Summary
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense (Dense) (None, 64) 512
dense_1 (Dense) (None, 64) 4160
dense_2 (Dense) (None, 64) 4160
dense_3 (Dense) (None, 64) 4160
dense_4 (Dense) (None, 2) 130
=================================================================
Total params: 13122 (51.26 KB)
Trainable params: 13122 (51.26 KB)
Non-trainable params: 0 (0.00 Byte)
_________________________________________________________________
: Option SaveBestOnly: Only model weights with smallest validation loss will be stored
*** Break *** segmentation violation
Generating stack trace...
0x00007f5940273162 in <unknown> from /github/home/ROOT-CI/build/lib/libCore.so
0x00007f593f91e730 in <unknown> from /lib64/libc.so.6
0x00007f5912f700ad in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f5912f6ea19 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f5912f6ee67 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f5912f7269e in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f5912db98a4 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f5912f6ea2b in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f5912f70f47 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f5912f70db6 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f5912d9309b in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f5912b77882 in tensorflow::grappler::MetaOptimizer::RunOptimizer(tensorflow::grappler::GraphOptimizer*, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem*, tensorflow::GraphDef*, tensorflow::grappler::MetaOptimizer::GraphOptimizationResult*) + 0x392 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f5912b7654a in tensorflow::grappler::MetaOptimizer::OptimizeGraph(std::vector<std::unique_ptr<tensorflow::grappler::GraphOptimizer, std::default_delete<tensorflow::grappler::GraphOptimizer> >, std::allocator<std::unique_ptr<tensorflow::grappler::GraphOptimizer, std::default_delete<tensorflow::grappler::GraphOptimizer> > > > const&, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem&&, tensorflow::GraphDef*) + 0x79a from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f5912b7a9a5 in tensorflow::grappler::MetaOptimizer::OptimizeConsumeItem(tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem&&, tensorflow::GraphDef*) + 0x1745 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f5912b7bfae in tensorflow::grappler::RunMetaOptimizer(tensorflow::grappler::GrapplerItem&&, tensorflow::ConfigProto const&, tensorflow::DeviceBase*, tensorflow::grappler::Cluster*, tensorflow::GraphDef*) + 0x9e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f5912b7c51f in _ZN10tensorflow8grappler13OptimizeGraphESt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS7_EES9_PNS_25FunctionLibraryDefinitionERKNS_9DeviceSetEPNS_6DeviceERKNS_11ConfigProtoERKS7_RKN + 0x4cf from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f5913e8137e in _ZSt13__invoke_implIN4absl12lts_202301256StatusERPFS2_St6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS9_EESB_PN10tensorflow25FunctionLibraryDefinitionERKNSC_9DeviceSetEPNSC_6DeviceER + 0x8e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f5913e8122c in _ZNSt17_Function_handlerIFN4absl12lts_202301256StatusESt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS9_EESB_PN10tensorflow25FunctionLibraryDefinitionERKNSC_9DeviceSetEPNSC_6DeviceEP + 0x2c from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f5913a0f146 in _ZN10tensorflow21OptimizeFunctionGraphERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEENS_9AttrSliceERKNS_22FunctionLibraryRuntime18InstantiateOptionsERKNS_9DeviceSetEPKNS_25FunctionLibraryDefin + 0x17f6 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f5913a0fdae in _ZN10tensorflow40OptimizeFunctionGraphOrReadFromFileCacheERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEENS_9AttrSliceERKNS_22FunctionLibraryRuntime18InstantiateOptionsERKNS_9DeviceSetEPKNS_25F + 0x1fe from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f59139e2160 in tensorflow::ProcessFunctionLibraryRuntime::InstantiateMultiDevice(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x830 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f59139e7f86 in tensorflow::ProcessFunctionLibraryRuntime::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x46 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f59139d5848 in tensorflow::FunctionLibraryRuntimeImpl::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x118 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f59133cff7c in tensorflow::FunctionHandleCache::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions, unsigned long*) + 0x1ac from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f5913e7949d in tensorflow::data::CapturedFunction::Instantiate(tensorflow::data::InstantiateCapturedFunctionParams, std::unique_ptr<tensorflow::data::InstantiatedCapturedFunction, std::default_delete<tensorflow::data::InstantiatedCapturedFunction> >*) + 0x113d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f5913e78348 in tensorflow::data::CapturedFunction::Instantiate(tensorflow::data::IteratorContext*, std::unique_ptr<tensorflow::data::InstantiatedCapturedFunction, std::default_delete<tensorflow::data::InstantiatedCapturedFunction> >*) + 0x38 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f5904b18d3f in tensorflow::data::MapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x6f from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f59133a19db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f590703d632 in tensorflow::data::PrefetchDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2d2 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f59133a19db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f5904b12674 in tensorflow::data::FlatMapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x1b4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f59133a19db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f5904b99e3a in tensorflow::data::ZipDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2da from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f59133a19db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f5905f5e506 in tensorflow::data::ParallelMapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x186 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f59133a19db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f59133a1a3d in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0x15d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f59133a1a3d in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0x15d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f590703d632 in tensorflow::data::PrefetchDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2d2 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f59133a19db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f5906fc4e81 in tensorflow::data::RootDataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x6b1 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f59133a19db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f5906fb3ea4 in tensorflow::data::IteratorResource::SetIteratorFromDataset(tensorflow::OpKernelContext*, tensorflow::data::DatasetBase const*) + 0x7a4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f5906fb54b0 in tensorflow::data::MakeIteratorOp::DoCompute(tensorflow::OpKernelContext*) + 0xa0 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f5906fb53e1 in tensorflow::data::HybridAsyncOpKernel::Compute(tensorflow::OpKernelContext*) + 0x21 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f59139c2540 in tensorflow::ThreadPoolDevice::Compute(tensorflow::OpKernel*, tensorflow::OpKernelContext*) + 0x50 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f5913a7bb68 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f59139da0e8 in tensorflow::FunctionLibraryRuntimeImpl::RunSync(tensorflow::FunctionLibraryRuntime::Options, unsigned long, absl::lts_20230125::Span<tensorflow::Tensor const>, std::vector<tensorflow::Tensor, std::allocator<tensorflow::Tensor> >*) + 0x238 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f59139e47c9 in _ZNK10tensorflow29ProcessFunctionLibraryRuntime18RunMultiDeviceSyncERKNS_22FunctionLibraryRuntime7OptionsEmPSt6vectorISt7variantIJNS_6TensorENS_11TensorShapeEEESaIS9_EESt8functionIFN4absl12lts_2023012 + 0x6f9 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f59139ea8b2 in tensorflow::ProcessFunctionLibraryRuntime::RunSync(tensorflow::FunctionLibraryRuntime::Options const&, unsigned long, absl::lts_20230125::Span<tensorflow::Tensor const>, std::vector<tensorflow::Tensor, std::allocator<tensorflow::Tensor> >*) const + 0x212 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f590618fb06 in _ZN10tensorflow19KernelAndDeviceFunc3RunEPNS_19ScopedStepContainerERKNS_15EagerKernelArgsEPSt6vectorISt7variantIJNS_6TensorENS_11TensorShapeEEESaISA_EEPN3tsl19CancellationManagerERKSt8optionalINS_19Ea + 0x156 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
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0x00007f58fefd1c30 in tensorflow::ExecuteNode::Run() + 0x1f0 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f590618b184 in tensorflow::EagerExecutor::SyncExecute(tensorflow::EagerNode*) + 0xe4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
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0x00007f58fefc8689 in tensorflow::EagerExecute(tensorflow::EagerOperation*, tensorflow::TensorHandle**, int*) + 0x269 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f58fefc43a7 in tensorflow::EagerOperation::Execute(absl::lts_20230125::Span<tensorflow::AbstractTensorHandle*>, int*) + 0x87 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f5906189793 in tensorflow::CustomDeviceOpHandler::Execute(tensorflow::ImmediateExecutionOperation*, tensorflow::ImmediateExecutionTensorHandle**, int*) + 0x263 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f590f7cddf5 in TFE_Execute + 0x45 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
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0x00007f59230c5a5e in TMVA::PyMethodBase::PyRunString(TString, TString, int) at /github/home/ROOT-CI/src/tmva/pymva/src/PyMethodBase.cxx:327 from /github/home/ROOT-CI/build/lib/libPyMVA.so
0x00007f592306b8e4 in TMVA::MethodPyKeras::Train() at /github/home/ROOT-CI/src/tmva/pymva/src/MethodPyKeras.cxx:596 (discriminator 5) from /github/home/ROOT-CI/build/lib/libPyMVA.so
0x00007f592253318d in TMVA::MethodBase::TrainMethod() at /github/home/ROOT-CI/src/tmva/tmva/src/MethodBase.cxx:671 from /github/home/ROOT-CI/build/lib/libTMVA.so
0x00007f59224ed4c1 in TMVA::Factory::TrainAllMethods() at /github/home/ROOT-CI/src/tmva/tmva/src/Factory.cxx:1174 from /github/home/ROOT-CI/build/lib/libTMVA.so
0x00007f593689be1f in <unknown function>
0x00007f5937dd0ce8 in cling::IncrementalExecutor::executeWrapper(llvm::StringRef, cling::Value*) const + 0xa8 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f5937d5a83a in cling::Interpreter::RunFunction(clang::FunctionDecl const*, cling::Value*) at Interpreter.cpp:? from /github/home/ROOT-CI/build/lib/libCling.so
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0x00007f5937e3acdd in cling::MetaSema::actOnxCommand(llvm::StringRef, llvm::StringRef, cling::Value*) + 0x34d from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f5937e4a5ed in cling::MetaParser::isXCommand(cling::MetaSema::ActionResult&, cling::Value*) at MetaParser.cpp:? from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f5937e4c155 in cling::MetaParser::isCommand(cling::MetaSema::ActionResult&, cling::Value*) at MetaParser.cpp:? from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f5937e33840 in cling::MetaProcessor::process(llvm::StringRef, cling::Interpreter::CompilationResult&, cling::Value*, bool) at MetaProcessor.cpp:? from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f5937b24e2a in <unknown> from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f5937b25b60 in TCling::ProcessLine(char const*, TInterpreter::EErrorCode*) at /github/home/ROOT-CI/src/core/metacling/src/TCling.cxx:2607 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f5937b294b1 in TCling::ProcessLineSynch(char const*, TInterpreter::EErrorCode*) at /github/home/ROOT-CI/src/core/metacling/src/TCling.cxx:3587 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f59400e6837 in TApplication::ExecuteFile(char const*, int*, bool) at /github/home/ROOT-CI/src/core/base/src/TApplication.cxx:1879 (discriminator 1) from /github/home/ROOT-CI/build/lib/libCore.so
0x00007f59400e6060 in TApplication::ProcessFile(char const*, int*, bool) at /github/home/ROOT-CI/src/core/base/src/TApplication.cxx:1752 from /github/home/ROOT-CI/build/lib/libCore.so
0x00007f59400e5e1f in TApplication::ProcessLine(char const*, bool, int*) at /github/home/ROOT-CI/src/core/base/src/TApplication.cxx:1718 from /github/home/ROOT-CI/build/lib/libCore.so
0x00007f59404b0b6e in TRint::ProcessLineNr(char const*, char const*, int*) at /github/home/ROOT-CI/src/core/rint/src/TRint.cxx:820 from /github/home/ROOT-CI/build/lib/libRint.so
0x00007f59404af2b4 in TRint::Run(bool) at /github/home/ROOT-CI/src/core/rint/src/TRint.cxx:461 from /github/home/ROOT-CI/build/lib/libRint.so
0x000000000040143f in main at /github/home/ROOT-CI/src/main/src/rmain.cxx:86 from /github/home/ROOT-CI/build/bin/root.exe
0x00007f593f9095d0 in <unknown> from /lib64/libc.so.6
0x00007f593f909680 in __libc_start_main at :? from /lib64/libc.so.6
0x0000000000401145 in _start + 0x25 from /github/home/ROOT-CI/build/bin/root.exe
CMake Error at /github/home/ROOT-CI/build/RootTestDriver.cmake:232 (message):
error code: 129
Check warning on line 0 in tutorial-tmva-TMVA_RNN_Classification
github-actions / Test Results
1 out of 19 runs failed: tutorial-tmva-TMVA_RNN_Classification (tutorial-tmva-TMVA_RNN_Classification)
artifacts/Test Results alma9/TestResults.xml [took 34s]
Raw output
Error regular expression found in output. Regex=[segmentation violation]
Processing /github/home/ROOT-CI/src/tutorials/tmva/TMVA_RNN_Classification.C...
Running with nthreads = 4
Generating event ... 0
Generating event ... 1000
******************************************************************************
*Tree :sgn : sgn *
*Entries : 2000 : Total = 2693901 bytes File Size = 2252211 *
* : : Tree compression factor = 1.19 *
******************************************************************************
*Br 0 :vars_time0 : vector<float> *
*Entries : 2000 : Total Size= 269305 bytes File Size = 224863 *
*Baskets : 9 : Basket Size= 32000 bytes Compression= 1.20 *
*............................................................................*
*Br 1 :vars_time1 : vector<float> *
*Entries : 2000 : Total Size= 269305 bytes File Size = 224938 *
*Baskets : 9 : Basket Size= 32000 bytes Compression= 1.19 *
*............................................................................*
*Br 2 :vars_time2 : vector<float> *
*Entries : 2000 : Total Size= 269305 bytes File Size = 224966 *
*Baskets : 9 : Basket Size= 32000 bytes Compression= 1.19 *
*............................................................................*
*Br 3 :vars_time3 : vector<float> *
*Entries : 2000 : Total Size= 269305 bytes File Size = 224998 *
*Baskets : 9 : Basket Size= 32000 bytes Compression= 1.19 *
*............................................................................*
*Br 4 :vars_time4 : vector<float> *
*Entries : 2000 : Total Size= 269305 bytes File Size = 225018 *
*Baskets : 9 : Basket Size= 32000 bytes Compression= 1.19 *
*............................................................................*
*Br 5 :vars_time5 : vector<float> *
*Entries : 2000 : Total Size= 269305 bytes File Size = 225057 *
*Baskets : 9 : Basket Size= 32000 bytes Compression= 1.19 *
*............................................................................*
*Br 6 :vars_time6 : vector<float> *
*Entries : 2000 : Total Size= 269305 bytes File Size = 225153 *
*Baskets : 9 : Basket Size= 32000 bytes Compression= 1.19 *
*............................................................................*
*Br 7 :vars_time7 : vector<float> *
*Entries : 2000 : Total Size= 269305 bytes File Size = 225228 *
*Baskets : 9 : Basket Size= 32000 bytes Compression= 1.19 *
*............................................................................*
*Br 8 :vars_time8 : vector<float> *
*Entries : 2000 : Total Size= 269305 bytes File Size = 225285 *
*Baskets : 9 : Basket Size= 32000 bytes Compression= 1.19 *
*............................................................................*
*Br 9 :vars_time9 : vector<float> *
*Entries : 2000 : Total Size= 269305 bytes File Size = 225324 *
*Baskets : 9 : Basket Size= 32000 bytes Compression= 1.19 *
*............................................................................*
******************************************************************************
*Tree :bkg : bkg *
*Entries : 2000 : Total = 2693901 bytes File Size = 2251087 *
* : : Tree compression factor = 1.19 *
******************************************************************************
*Br 0 :vars_time0 : vector<float> *
*Entries : 2000 : Total Size= 269305 bytes File Size = 225122 *
*Baskets : 9 : Basket Size= 32000 bytes Compression= 1.19 *
*............................................................................*
*Br 1 :vars_time1 : vector<float> *
*Entries : 2000 : Total Size= 269305 bytes File Size = 225020 *
*Baskets : 9 : Basket Size= 32000 bytes Compression= 1.19 *
*............................................................................*
*Br 2 :vars_time2 : vector<float> *
*Entries : 2000 : Total Size= 269305 bytes File Size = 224944 *
*Baskets : 9 : Basket Size= 32000 bytes Compression= 1.19 *
*............................................................................*
*Br 3 :vars_time3 : vector<float> *
*Entries : 2000 : Total Size= 269305 bytes File Size = 224999 *
*Baskets : 9 : Basket Size= 32000 bytes Compression= 1.19 *
*............................................................................*
*Br 4 :vars_time4 : vector<float> *
*Entries : 2000 : Total Size= 269305 bytes File Size = 224930 *
*Baskets : 9 : Basket Size= 32000 bytes Compression= 1.19 *
*............................................................................*
*Br 5 :vars_time5 : vector<float> *
*Entries : 2000 : Total Size= 269305 bytes File Size = 224874 *
*Baskets : 9 : Basket Size= 32000 bytes Compression= 1.20 *
*............................................................................*
*Br 6 :vars_time6 : vector<float> *
*Entries : 2000 : Total Size= 269305 bytes File Size = 224855 *
*Baskets : 9 : Basket Size= 32000 bytes Compression= 1.20 *
*............................................................................*
*Br 7 :vars_time7 : vector<float> *
*Entries : 2000 : Total Size= 269305 bytes File Size = 224908 *
*Baskets : 9 : Basket Size= 32000 bytes Compression= 1.19 *
*............................................................................*
*Br 8 :vars_time8 : vector<float> *
*Entries : 2000 : Total Size= 269305 bytes File Size = 224981 *
*Baskets : 9 : Basket Size= 32000 bytes Compression= 1.19 *
*............................................................................*
*Br 9 :vars_time9 : vector<float> *
*Entries : 2000 : Total Size= 269305 bytes File Size = 225056 *
*Baskets : 9 : Basket Size= 32000 bytes Compression= 1.19 *
*............................................................................*
--- RNNClassification : Using input file: time_data_t10_d30.root
DataSetInfo : [dataset] : Added class "Signal"
: Add Tree sgn of type Signal with 2000 events
DataSetInfo : [dataset] : Added class "Background"
: Add Tree bkg of type Background with 2000 events
number of variables is 300
vars_time0[0],vars_time0[1],vars_time0[2],vars_time0[3],vars_time0[4],vars_time0[5],vars_time0[6],vars_time0[7],vars_time0[8],vars_time0[9],vars_time0[10],vars_time0[11],vars_time0[12],vars_time0[13],vars_time0[14],vars_time0[15],vars_time0[16],vars_time0[17],vars_time0[18],vars_time0[19],vars_time0[20],vars_time0[21],vars_time0[22],vars_time0[23],vars_time0[24],vars_time0[25],vars_time0[26],vars_time0[27],vars_time0[28],vars_time0[29],vars_time1[0],vars_time1[1],vars_time1[2],vars_time1[3],vars_time1[4],vars_time1[5],vars_time1[6],vars_time1[7],vars_time1[8],vars_time1[9],vars_time1[10],vars_time1[11],vars_time1[12],vars_time1[13],vars_time1[14],vars_time1[15],vars_time1[16],vars_time1[17],vars_time1[18],vars_time1[19],vars_time1[20],vars_time1[21],vars_time1[22],vars_time1[23],vars_time1[24],vars_time1[25],vars_time1[26],vars_time1[27],vars_time1[28],vars_time1[29],vars_time2[0],vars_time2[1],vars_time2[2],vars_time2[3],vars_time2[4],vars_time2[5],vars_time2[6],vars_time2[7],vars_time2[8],vars_time2[9],vars_time2[10],vars_time2[11],vars_time2[12],vars_time2[13],vars_time2[14],vars_time2[15],vars_time2[16],vars_time2[17],vars_time2[18],vars_time2[19],vars_time2[20],vars_time2[21],vars_time2[22],vars_time2[23],vars_time2[24],vars_time2[25],vars_time2[26],vars_time2[27],vars_time2[28],vars_time2[29],vars_time3[0],vars_time3[1],vars_time3[2],vars_time3[3],vars_time3[4],vars_time3[5],vars_time3[6],vars_time3[7],vars_time3[8],vars_time3[9],vars_time3[10],vars_time3[11],vars_time3[12],vars_time3[13],vars_time3[14],vars_time3[15],vars_time3[16],vars_time3[17],vars_time3[18],vars_time3[19],vars_time3[20],vars_time3[21],vars_time3[22],vars_time3[23],vars_time3[24],vars_time3[25],vars_time3[26],vars_time3[27],vars_time3[28],vars_time3[29],vars_time4[0],vars_time4[1],vars_time4[2],vars_time4[3],vars_time4[4],vars_time4[5],vars_time4[6],vars_time4[7],vars_time4[8],vars_time4[9],vars_time4[10],vars_time4[11],vars_time4[12],vars_time4[13],vars_time4[14],vars_time4[15],vars_time4[16],vars_time4[17],vars_time4[18],vars_time4[19],vars_time4[20],vars_time4[21],vars_time4[22],vars_time4[23],vars_time4[24],vars_time4[25],vars_time4[26],vars_time4[27],vars_time4[28],vars_time4[29],vars_time5[0],vars_time5[1],vars_time5[2],vars_time5[3],vars_time5[4],vars_time5[5],vars_time5[6],vars_time5[7],vars_time5[8],vars_time5[9],vars_time5[10],vars_time5[11],vars_time5[12],vars_time5[13],vars_time5[14],vars_time5[15],vars_time5[16],vars_time5[17],vars_time5[18],vars_time5[19],vars_time5[20],vars_time5[21],vars_time5[22],vars_time5[23],vars_time5[24],vars_time5[25],vars_time5[26],vars_time5[27],vars_time5[28],vars_time5[29],vars_time6[0],vars_time6[1],vars_time6[2],vars_time6[3],vars_time6[4],vars_time6[5],vars_time6[6],vars_time6[7],vars_time6[8],vars_time6[9],vars_time6[10],vars_time6[11],vars_time6[12],vars_time6[13],vars_time6[14],vars_time6[15],vars_time6[16],vars_time6[17],vars_time6[18],vars_time6[19],vars_time6[20],vars_time6[21],vars_time6[22],vars_time6[23],vars_time6[24],vars_time6[25],vars_time6[26],vars_time6[27],vars_time6[28],vars_time6[29],vars_time7[0],vars_time7[1],vars_time7[2],vars_time7[3],vars_time7[4],vars_time7[5],vars_time7[6],vars_time7[7],vars_time7[8],vars_time7[9],vars_time7[10],vars_time7[11],vars_time7[12],vars_time7[13],vars_time7[14],vars_time7[15],vars_time7[16],vars_time7[17],vars_time7[18],vars_time7[19],vars_time7[20],vars_time7[21],vars_time7[22],vars_time7[23],vars_time7[24],vars_time7[25],vars_time7[26],vars_time7[27],vars_time7[28],vars_time7[29],vars_time8[0],vars_time8[1],vars_time8[2],vars_time8[3],vars_time8[4],vars_time8[5],vars_time8[6],vars_time8[7],vars_time8[8],vars_time8[9],vars_time8[10],vars_time8[11],vars_time8[12],vars_time8[13],vars_time8[14],vars_time8[15],vars_time8[16],vars_time8[17],vars_time8[18],vars_time8[19],vars_time8[20],vars_time8[21],vars_time8[22],vars_time8[23],vars_time8[24],vars_time8[25],vars_time8[26],vars_time8[27],vars_time8[28],vars_time8[29],vars_time9[0],vars_time9[1],vars_time9[2],vars_time9[3],vars_time9[4],vars_time9[5],vars_time9[6],vars_time9[7],vars_time9[8],vars_time9[9],vars_time9[10],vars_time9[11],vars_time9[12],vars_time9[13],vars_time9[14],vars_time9[15],vars_time9[16],vars_time9[17],vars_time9[18],vars_time9[19],vars_time9[20],vars_time9[21],vars_time9[22],vars_time9[23],vars_time9[24],vars_time9[25],vars_time9[26],vars_time9[27],vars_time9[28],vars_time9[29],
prepared DATA LOADER
Factory : Booking method: [NON-XML-CHAR-0x1B][1mTMVA_LSTM[NON-XML-CHAR-0x1B][0m
:
: Parsing option string:
: ... "!H:V:ErrorStrategy=CROSSENTROPY:VarTransform=None:WeightInitialization=XAVIERUNIFORM:ValidationSize=0.2:RandomSeed=1234:InputLayout=10|30:Layout=LSTM|10|30|10|0|1,RESHAPE|FLAT,DENSE|64|TANH,LINEAR:TrainingStrategy=LearningRate=1e-3,Momentum=0.0,Repetitions=1,ConvergenceSteps=5,BatchSize=100,TestRepetitions=1,WeightDecay=1e-2,Regularization=None,MaxEpochs=20,Optimizer=ADAM,DropConfig=0.0+0.+0.+0.:Architecture=CPU"
: The following options are set:
: - By User:
: <none>
: - Default:
: Boost_num: "0" [Number of times the classifier will be boosted]
: Parsing option string:
: ... "!H:V:ErrorStrategy=CROSSENTROPY:VarTransform=None:WeightInitialization=XAVIERUNIFORM:ValidationSize=0.2:RandomSeed=1234:InputLayout=10|30:Layout=LSTM|10|30|10|0|1,RESHAPE|FLAT,DENSE|64|TANH,LINEAR:TrainingStrategy=LearningRate=1e-3,Momentum=0.0,Repetitions=1,ConvergenceSteps=5,BatchSize=100,TestRepetitions=1,WeightDecay=1e-2,Regularization=None,MaxEpochs=20,Optimizer=ADAM,DropConfig=0.0+0.+0.+0.:Architecture=CPU"
: The following options are set:
: - By User:
: V: "True" [Verbose output (short form of "VerbosityLevel" below - overrides the latter one)]
: VarTransform: "None" [List of variable transformations performed before training, e.g., "D_Background,P_Signal,G,N_AllClasses" for: "Decorrelation, PCA-transformation, Gaussianisation, Normalisation, each for the given class of events ('AllClasses' denotes all events of all classes, if no class indication is given, 'All' is assumed)"]
: H: "False" [Print method-specific help message]
: InputLayout: "10|30" [The Layout of the input]
: Layout: "LSTM|10|30|10|0|1,RESHAPE|FLAT,DENSE|64|TANH,LINEAR" [Layout of the network.]
: ErrorStrategy: "CROSSENTROPY" [Loss function: Mean squared error (regression) or cross entropy (binary classification).]
Info in <TMVA_RNN_Classification>: Building recurrent keras model using a LSTM layer
: WeightInitialization: "XAVIERUNIFORM" [Weight initialization strategy]
: RandomSeed: "1234" [Random seed used for weight initialization and batch shuffling]
: ValidationSize: "0.2" [Part of the training data to use for validation. Specify as 0.2 or 20% to use a fifth of the data set as validation set. Specify as 100 to use exactly 100 events. (Default: 20%)]
: Architecture: "CPU" [Which architecture to perform the training on.]
: TrainingStrategy: "LearningRate=1e-3,Momentum=0.0,Repetitions=1,ConvergenceSteps=5,BatchSize=100,TestRepetitions=1,WeightDecay=1e-2,Regularization=None,MaxEpochs=20,Optimizer=ADAM,DropConfig=0.0+0.+0.+0." [Defines the training strategies.]
: - Default:
: VerbosityLevel: "Default" [Verbosity level]
: CreateMVAPdfs: "False" [Create PDFs for classifier outputs (signal and background)]
: IgnoreNegWeightsInTraining: "False" [Events with negative weights are ignored in the training (but are included for testing and performance evaluation)]
: BatchLayout: "0|0|0" [The Layout of the batch]
: Will now use the CPU architecture with BLAS and IMT support !
Factory : Booking method: [NON-XML-CHAR-0x1B][1mTMVA_DNN[NON-XML-CHAR-0x1B][0m
:
: Parsing option string:
: ... "!H:V:ErrorStrategy=CROSSENTROPY:VarTransform=None:WeightInitialization=XAVIER:RandomSeed=0:InputLayout=1|1|300:Layout=DENSE|64|TANH,DENSE|TANH|64,DENSE|TANH|64,LINEAR:TrainingStrategy=LearningRate=1e-3,Momentum=0.0,Repetitions=1,ConvergenceSteps=10,BatchSize=256,TestRepetitions=1,WeightDecay=1e-4,Regularization=None,MaxEpochs=20DropConfig=0.0+0.+0.+0.,Optimizer=ADAM:CPU"
: The following options are set:
: - By User:
: <none>
: - Default:
: Boost_num: "0" [Number of times the classifier will be boosted]
: Parsing option string:
: ... "!H:V:ErrorStrategy=CROSSENTROPY:VarTransform=None:WeightInitialization=XAVIER:RandomSeed=0:InputLayout=1|1|300:Layout=DENSE|64|TANH,DENSE|TANH|64,DENSE|TANH|64,LINEAR:TrainingStrategy=LearningRate=1e-3,Momentum=0.0,Repetitions=1,ConvergenceSteps=10,BatchSize=256,TestRepetitions=1,WeightDecay=1e-4,Regularization=None,MaxEpochs=20DropConfig=0.0+0.+0.+0.,Optimizer=ADAM:CPU"
: The following options are set:
: - By User:
: V: "True" [Verbose output (short form of "VerbosityLevel" below - overrides the latter one)]
: VarTransform: "None" [List of variable transformations performed before training, e.g., "D_Background,P_Signal,G,N_AllClasses" for: "Decorrelation, PCA-transformation, Gaussianisation, Normalisation, each for the given class of events ('AllClasses' denotes all events of all classes, if no class indication is given, 'All' is assumed)"]
: H: "False" [Print method-specific help message]
: InputLayout: "1|1|300" [The Layout of the input]
: Layout: "DENSE|64|TANH,DENSE|TANH|64,DENSE|TANH|64,LINEAR" [Layout of the network.]
: ErrorStrategy: "CROSSENTROPY" [Loss function: Mean squared error (regression) or cross entropy (binary classification).]
: WeightInitialization: "XAVIER" [Weight initialization strategy]
: RandomSeed: "0" [Random seed used for weight initialization and batch shuffling]
: Architecture: "CPU" [Which architecture to perform the training on.]
: TrainingStrategy: "LearningRate=1e-3,Momentum=0.0,Repetitions=1,ConvergenceSteps=10,BatchSize=256,TestRepetitions=1,WeightDecay=1e-4,Regularization=None,MaxEpochs=20DropConfig=0.0+0.+0.+0.,Optimizer=ADAM" [Defines the training strategies.]
: - Default:
: VerbosityLevel: "Default" [Verbosity level]
: CreateMVAPdfs: "False" [Create PDFs for classifier outputs (signal and background)]
: IgnoreNegWeightsInTraining: "False" [Events with negative weights are ignored in the training (but are included for testing and performance evaluation)]
: BatchLayout: "0|0|0" [The Layout of the batch]
: ValidationSize: "20%" [Part of the training data to use for validation. Specify as 0.2 or 20% to use a fifth of the data set as validation set. Specify as 100 to use exactly 100 events. (Default: 20%)]
: Will now use the CPU architecture with BLAS and IMT support !
2024-11-30 23:45:48.440561: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-11-30 23:45:48.477273: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-11-30 23:45:48.477327: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-11-30 23:45:48.478583: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-11-30 23:45:48.484647: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-11-30 23:45:49.202366: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
/py-venv/ROOT-CI/lib64/python3.9/site-packages/keras/src/engine/training.py:3103: UserWarning: You are saving your model as an HDF5 file via `model.save()`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')`.
saving_api.save_model(
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
reshape (Reshape) (None, 10, 30) 0
lstm (LSTM) (None, 10, 10) 1640
flatten (Flatten) (None, 100) 0
dense (Dense) (None, 64) 6464
dense_1 (Dense) (None, 2) 130
=================================================================
Total params: 8234 (32.16 KB)
Trainable params: 8234 (32.16 KB)
Non-trainable params: 0 (0.00 Byte)
_________________________________________________________________
(TString) "python3"[7]
Factory : Booking method: [NON-XML-CHAR-0x1B][1mPyKeras_LSTM[NON-XML-CHAR-0x1B][0m
:
Info in <TMVA_RNN_Classification>: Booking Keras LSTM model
: Setting up tf.keras
2024-11-30 23:45:51.163396: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-11-30 23:45:51.202352: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-11-30 23:45:51.202397: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-11-30 23:45:51.203668: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-11-30 23:45:51.212075: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-11-30 23:45:51.924937: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
return self._float_to_str(self.smallest_subnormal)
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
return self._float_to_str(self.smallest_subnormal)
: Using TensorFlow version 2
: Use Keras version from TensorFlow : tf.keras
: Applying GPU option: gpu_options.allow_growth=True
: Loading Keras Model
: Loaded model from file: model_LSTM.h5
Factory : Booking method: [NON-XML-CHAR-0x1B][1mBDTG[NON-XML-CHAR-0x1B][0m
:
: the option NegWeightTreatment=InverseBoostNegWeights does not exist for BoostType=Grad
: --> change to new default NegWeightTreatment=Pray
: Rebuilding Dataset dataset
: Building event vectors for type 2 Signal
: Dataset[dataset] : create input formulas for tree sgn
: Using variable vars_time0[0] from array expression vars_time0 of size 30
: Using variable vars_time1[0] from array expression vars_time1 of size 30
: Using variable vars_time2[0] from array expression vars_time2 of size 30
: Using variable vars_time3[0] from array expression vars_time3 of size 30
: Using variable vars_time4[0] from array expression vars_time4 of size 30
: Using variable vars_time5[0] from array expression vars_time5 of size 30
: Using variable vars_time6[0] from array expression vars_time6 of size 30
: Using variable vars_time7[0] from array expression vars_time7 of size 30
: Using variable vars_time8[0] from array expression vars_time8 of size 30
: Using variable vars_time9[0] from array expression vars_time9 of size 30
: Building event vectors for type 2 Background
: Dataset[dataset] : create input formulas for tree bkg
: Using variable vars_time0[0] from array expression vars_time0 of size 30
: Using variable vars_time1[0] from array expression vars_time1 of size 30
: Using variable vars_time2[0] from array expression vars_time2 of size 30
: Using variable vars_time3[0] from array expression vars_time3 of size 30
: Using variable vars_time4[0] from array expression vars_time4 of size 30
: Using variable vars_time5[0] from array expression vars_time5 of size 30
: Using variable vars_time6[0] from array expression vars_time6 of size 30
: Using variable vars_time7[0] from array expression vars_time7 of size 30
: Using variable vars_time8[0] from array expression vars_time8 of size 30
: Using variable vars_time9[0] from array expression vars_time9 of size 30
DataSetFactory : [dataset] : Number of events in input trees
:
:
: Number of training and testing events
: ---------------------------------------------------------------------------
: Signal -- training events : 1600
: Signal -- testing events : 400
: Signal -- training and testing events: 2000
: Background -- training events : 1600
: Background -- testing events : 400
: Background -- training and testing events: 2000
:
Factory : [NON-XML-CHAR-0x1B][1mTrain all methods[NON-XML-CHAR-0x1B][0m
Factory : Train method: TMVA_LSTM for Classification
:
: Start of deep neural network training on CPU using MT, nthreads = 4
:
: ***** Deep Learning Network *****
DEEP NEURAL NETWORK: Depth = 4 Input = ( 10, 1, 30 ) Batch size = 100 Loss function = C
Layer 0 LSTM Layer: (NInput = 30, NState = 10, NTime = 10 ) Output = ( 100 , 10 , 10 )
Layer 1 RESHAPE Layer Input = ( 1 , 10 , 10 ) Output = ( 1 , 100 , 100 )
Layer 2 DENSE Layer: ( Input = 100 , Width = 64 ) Output = ( 1 , 100 , 64 ) Activation Function = Tanh
Layer 3 DENSE Layer: ( Input = 64 , Width = 1 ) Output = ( 1 , 100 , 1 ) Activation Function = Identity
: Using 2560 events for training and 640 for testing
: Compute initial loss on the validation data
: Training phase 1 of 1: Optimizer ADAM (beta1=0.9,beta2=0.999,eps=1e-07) Learning rate = 0.001 regularization 0 minimum error = 0.71292
: --------------------------------------------------------------
: Epoch | Train Err. Val. Err. t(s)/epoch t(s)/Loss nEvents/s Conv. Steps
: --------------------------------------------------------------
: Start epoch iteration ...
: 1 Minimum Test error found - save the configuration
: 1 | 0.701283 0.710061 0.402476 0.0435074 6964.4 0
: 2 Minimum Test error found - save the configuration
: 2 | 0.690734 0.69286 0.399936 0.0425231 6994.7 0
: 3 Minimum Test error found - save the configuration
: 3 | 0.68627 0.685829 0.401251 0.0430925 6980.15 0
: 4 Minimum Test error found - save the configuration
: 4 | 0.679656 0.674531 0.405958 0.0428313 6884.64 0
: 5 Minimum Test error found - save the configuration
: 5 | 0.659431 0.655892 0.404318 0.0430591 6920.25 0
: 6 Minimum Test error found - save the configuration
: 6 | 0.629995 0.61563 0.405684 0.0435936 6904.36 0
: 7 Minimum Test error found - save the configuration
: 7 | 0.588491 0.566064 0.407513 0.0432496 6863.17 0
: 8 Minimum Test error found - save the configuration
: 8 | 0.554696 0.545007 0.398147 0.0418061 7015.75 0
…save the configuration
: 20 | 0.415942 0.47826 0.416539 0.0442439 6715.09 0
:
: Elapsed time for training with 3200 events: 8.13 sec
: Evaluate deep neural network on CPU using batches with size = 100
:
TMVA_LSTM : [dataset] : Evaluation of TMVA_LSTM on training sample (3200 events)
: Elapsed time for evaluation of 3200 events: 0.229 sec
: Creating xml weight file: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVAClassification_TMVA_LSTM.weights.xml[NON-XML-CHAR-0x1B][0m
: Creating standalone class: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVAClassification_TMVA_LSTM.class.C[NON-XML-CHAR-0x1B][0m
Factory : Training finished
:
Factory : Train method: TMVA_DNN for Classification
:
: Start of deep neural network training on CPU using MT, nthreads = 4
:
: ***** Deep Learning Network *****
DEEP NEURAL NETWORK: Depth = 4 Input = ( 1, 1, 300 ) Batch size = 256 Loss function = C
Layer 0 DENSE Layer: ( Input = 300 , Width = 64 ) Output = ( 1 , 256 , 64 ) Activation Function = Tanh
Layer 1 DENSE Layer: ( Input = 64 , Width = 64 ) Output = ( 1 , 256 , 64 ) Activation Function = Tanh
Layer 2 DENSE Layer: ( Input = 64 , Width = 64 ) Output = ( 1 , 256 , 64 ) Activation Function = Tanh
Layer 3 DENSE Layer: ( Input = 64 , Width = 1 ) Output = ( 1 , 256 , 1 ) Activation Function = Identity
: Using 2560 events for training and 640 for testing
: Compute initial loss on the validation data
: Training phase 1 of 1: Optimizer ADAM (beta1=0.9,beta2=0.999,eps=1e-07) Learning rate = 0.001 regularization 0 minimum error = 0.788326
: --------------------------------------------------------------
: Epoch | Train Err. Val. Err. t(s)/epoch t(s)/Loss nEvents/s Conv. Steps
: --------------------------------------------------------------
: Start epoch iteration ...
: 1 Minimum Test error found - save the configuration
: 1 | 0.735555 0.695994 0.0499833 0.00677909 59253.5 0
: 2 Minimum Test error found - save the configuration
: 2 | 0.69706 0.691338 0.0499766 0.00667121 59115.1 0
: 3 | 0.691466 0.692075 0.0474717 0.00530696 60714.3 1
: 4 Minimum Test error found - save the configuration
: 4 | 0.686438 0.683031 0.0477115 0.00651021 62134 0
: 5 Minimum Test error found - save the configuration
: 5 | 0.687234 0.676569 0.046623 0.00639291 63633.9 0
: 6 Minimum Test error found - save the configuration
: 6 | 0.681131 0.672511 0.0472346 0.00644606 62762.8 0
: 7 Minimum Test error found - save the configuration
: 7 | 0.678907 0.670176 0.0464808 0.00618731 63533.9 0
: 8 | 0.679493 0.705996 0.0456618 0.00517811 63235.3 1
: 9 | 0.692778 0.703063 0.0467284 0.00517725 61610.7 2
: 10 | 0.689954 0.687829 0.0449306 0.00492672 63993.8 3
: 11 | 0.685807 0.691083 0.0439248 0.00504605 65845.7 4
: 12 | 0.687697 0.689237 0.0454995 0.00519994 63524.3 5
: 13 | 0.696961 0.688874 0.0487662 0.00518148 58736.1 6
: 14 | 0.686811 0.676945 0.047857 0.00526922 60111.1 7
: 15 | 0.685395 0.686984 0.0478035 0.00548359 60491.7 8
: 16 | 0.68606 0.697536 0.0478733 0.00528249 60106.8 9
: 17 | 0.676278 0.696877 0.0473846 0.0053018 60832.5 10
: 18 Minimum Test error found - save the configuration
: 18 | 0.680162 0.664641 0.0497305 0.00651196 59233.9 0
: 19 | 0.683056 0.669913 0.045245 0.00507101 63722.9 1
: 20 Minimum Test error found - save the configuration
: 20 | 0.680492 0.657483 0.0448202 0.00623363 66344.3 0
:
: Elapsed time for training with 3200 events: 0.955 sec
: Evaluate deep neural network on CPU using batches with size = 256
:
TMVA_DNN : [dataset] : Evaluation of TMVA_DNN on training sample (3200 events)
: Elapsed time for evaluation of 3200 events: 0.031 sec
: Creating xml weight file: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVAClassification_TMVA_DNN.weights.xml[NON-XML-CHAR-0x1B][0m
: Creating standalone class: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVAClassification_TMVA_DNN.class.C[NON-XML-CHAR-0x1B][0m
Factory : Training finished
:
Factory : Train method: PyKeras_LSTM for Classification
:
: Split TMVA training data in 2560 training events and 640 validation events
: Training Model Summary
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
reshape (Reshape) (None, 10, 30) 0
lstm (LSTM) (None, 10, 10) 1640
flatten (Flatten) (None, 100) 0
dense (Dense) (None, 64) 6464
dense_1 (Dense) (None, 2) 130
=================================================================
Total params: 8234 (32.16 KB)
Trainable params: 8234 (32.16 KB)
Non-trainable params: 0 (0.00 Byte)
_________________________________________________________________
: Option SaveBestOnly: Only model weights with smallest validation loss will be stored
*** Break *** segmentation violation
Generating stack trace...
0x00007f91a43f4162 in <unknown> from /github/home/ROOT-CI/build/lib/libCore.so
0x00007f91a3a9f730 in <unknown> from /lib64/libc.so.6
0x00007f916ef380ad in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f916ef36a19 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f916ef36e67 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f916ef3a69e in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f916ed818a4 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f916ef36a2b in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f916ef38f47 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f916ef38db6 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f916ed5b09b in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f916eb3f882 in tensorflow::grappler::MetaOptimizer::RunOptimizer(tensorflow::grappler::GraphOptimizer*, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem*, tensorflow::GraphDef*, tensorflow::grappler::MetaOptimizer::GraphOptimizationResult*) + 0x392 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f916eb3e54a in tensorflow::grappler::MetaOptimizer::OptimizeGraph(std::vector<std::unique_ptr<tensorflow::grappler::GraphOptimizer, std::default_delete<tensorflow::grappler::GraphOptimizer> >, std::allocator<std::unique_ptr<tensorflow::grappler::GraphOptimizer, std::default_delete<tensorflow::grappler::GraphOptimizer> > > > const&, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem&&, tensorflow::GraphDef*) + 0x79a from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f916eb429a5 in tensorflow::grappler::MetaOptimizer::OptimizeConsumeItem(tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem&&, tensorflow::GraphDef*) + 0x1745 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f916eb43fae in tensorflow::grappler::RunMetaOptimizer(tensorflow::grappler::GrapplerItem&&, tensorflow::ConfigProto const&, tensorflow::DeviceBase*, tensorflow::grappler::Cluster*, tensorflow::GraphDef*) + 0x9e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f916eb4451f in _ZN10tensorflow8grappler13OptimizeGraphESt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS7_EES9_PNS_25FunctionLibraryDefinitionERKNS_9DeviceSetEPNS_6DeviceERKNS_11ConfigProtoERKS7_RKN + 0x4cf from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f916fe4937e in _ZSt13__invoke_implIN4absl12lts_202301256StatusERPFS2_St6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS9_EESB_PN10tensorflow25FunctionLibraryDefinitionERKNSC_9DeviceSetEPNSC_6DeviceER + 0x8e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f916fe4922c in _ZNSt17_Function_handlerIFN4absl12lts_202301256StatusESt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS9_EESB_PN10tensorflow25FunctionLibraryDefinitionERKNSC_9DeviceSetEPNSC_6DeviceEP + 0x2c from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f916f9d7146 in _ZN10tensorflow21OptimizeFunctionGraphERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEENS_9AttrSliceERKNS_22FunctionLibraryRuntime18InstantiateOptionsERKNS_9DeviceSetEPKNS_25FunctionLibraryDefin + 0x17f6 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
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0x00007f9160c8c674 in tensorflow::data::FlatMapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x1b4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f916f3699db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f9160d13e3a in tensorflow::data::ZipDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2da from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f916f3699db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
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0x00007f916f3699db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f916f369a3d in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0x15d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f916f369a3d in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0x15d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
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0x00007f916f3699db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
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0x00007f916f3699db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f916312dea4 in tensorflow::data::IteratorResource::SetIteratorFromDataset(tensorflow::OpKernelContext*, tensorflow::data::DatasetBase const*) + 0x7a4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f916312f4b0 in tensorflow::data::MakeIteratorOp::DoCompute(tensorflow::OpKernelContext*) + 0xa0 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f916312f3e1 in tensorflow::data::HybridAsyncOpKernel::Compute(tensorflow::OpKernelContext*) + 0x21 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f916f98a540 in tensorflow::ThreadPoolDevice::Compute(tensorflow::OpKernel*, tensorflow::OpKernelContext*) + 0x50 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f916fa43b68 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
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0x00007f915b14bc30 in tensorflow::ExecuteNode::Run() + 0x1f0 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
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0x00007f9162303793 in tensorflow::CustomDeviceOpHandler::Execute(tensorflow::ImmediateExecutionOperation*, tensorflow::ImmediateExecutionTensorHandle**, int*) + 0x263 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
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0x00007f9186beca5e in TMVA::PyMethodBase::PyRunString(TString, TString, int) at /github/home/ROOT-CI/src/tmva/pymva/src/PyMethodBase.cxx:327 from /github/home/ROOT-CI/build/lib/libPyMVA.so
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0x00007f918605a18d in TMVA::MethodBase::TrainMethod() at /github/home/ROOT-CI/src/tmva/tmva/src/MethodBase.cxx:671 from /github/home/ROOT-CI/build/lib/libTMVA.so
0x00007f91860144c1 in TMVA::Factory::TrainAllMethods() at /github/home/ROOT-CI/src/tmva/tmva/src/Factory.cxx:1174 from /github/home/ROOT-CI/build/lib/libTMVA.so
0x00007f919aa17ad5 in <unknown function>
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0x00007f919bedb83a in cling::Interpreter::RunFunction(clang::FunctionDecl const*, cling::Value*) at Interpreter.cpp:? from /github/home/ROOT-CI/build/lib/libCling.so
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0x00007f919bfbbcdd in cling::MetaSema::actOnxCommand(llvm::StringRef, llvm::StringRef, cling::Value*) + 0x34d from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f919bfcb5ed in cling::MetaParser::isXCommand(cling::MetaSema::ActionResult&, cling::Value*) at MetaParser.cpp:? from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f919bfcd155 in cling::MetaParser::isCommand(cling::MetaSema::ActionResult&, cling::Value*) at MetaParser.cpp:? from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f919bfb4840 in cling::MetaProcessor::process(llvm::StringRef, cling::Interpreter::CompilationResult&, cling::Value*, bool) at MetaProcessor.cpp:? from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f919bca5e2a in <unknown> from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f919bca6b60 in TCling::ProcessLine(char const*, TInterpreter::EErrorCode*) at /github/home/ROOT-CI/src/core/metacling/src/TCling.cxx:2607 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f919bcaa4b1 in TCling::ProcessLineSynch(char const*, TInterpreter::EErrorCode*) at /github/home/ROOT-CI/src/core/metacling/src/TCling.cxx:3587 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f91a4267837 in TApplication::ExecuteFile(char const*, int*, bool) at /github/home/ROOT-CI/src/core/base/src/TApplication.cxx:1879 (discriminator 1) from /github/home/ROOT-CI/build/lib/libCore.so
0x00007f91a4267060 in TApplication::ProcessFile(char const*, int*, bool) at /github/home/ROOT-CI/src/core/base/src/TApplication.cxx:1752 from /github/home/ROOT-CI/build/lib/libCore.so
0x00007f91a4266e1f in TApplication::ProcessLine(char const*, bool, int*) at /github/home/ROOT-CI/src/core/base/src/TApplication.cxx:1718 from /github/home/ROOT-CI/build/lib/libCore.so
0x00007f91a4631b6e in TRint::ProcessLineNr(char const*, char const*, int*) at /github/home/ROOT-CI/src/core/rint/src/TRint.cxx:820 from /github/home/ROOT-CI/build/lib/libRint.so
0x00007f91a46302b4 in TRint::Run(bool) at /github/home/ROOT-CI/src/core/rint/src/TRint.cxx:461 from /github/home/ROOT-CI/build/lib/libRint.so
0x000000000040143f in main at /github/home/ROOT-CI/src/main/src/rmain.cxx:86 from /github/home/ROOT-CI/build/bin/root.exe
0x00007f91a3a8a5d0 in <unknown> from /lib64/libc.so.6
0x00007f91a3a8a680 in __libc_start_main at :? from /lib64/libc.so.6
0x0000000000401145 in _start + 0x25 from /github/home/ROOT-CI/build/bin/root.exe
CMake Error at /github/home/ROOT-CI/build/RootTestDriver.cmake:232 (message):
error code: 129
Check warning on line 0 in tutorial-tmva-TMVA_CNN_Classification-py
github-actions / Test Results
1 out of 19 runs failed: tutorial-tmva-TMVA_CNN_Classification-py (tutorial-tmva-TMVA_CNN_Classification-py)
artifacts/Test Results mac-beta ARM64/TestResults.xml [took 25m 0s]
Raw output
Timeout
*** Break *** bus error
[/usr/lib/system/libsystem_platform.dylib] _sigtramp (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] llvm::AArch64::ExtensionSet::addCPUDefaults(llvm::AArch64::CpuInfo const&) (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] llvm::AArch64::ExtensionSet::addCPUDefaults(llvm::AArch64::CpuInfo const&) (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] DecodeAArch64Mcpu(clang::driver::Driver const&, llvm::StringRef, llvm::StringRef&, llvm::AArch64::ExtensionSet&) (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] clang::driver::tools::aarch64::getAArch64TargetFeatures(clang::driver::Driver const&, llvm::Triple const&, llvm::opt::ArgList const&, std::__1::vector<llvm::StringRef, std::__1::allocator<llvm::StringRef>>&, bool) (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] clang::driver::tools::getTargetFeatures(clang::driver::Driver const&, llvm::Triple const&, llvm::opt::ArgList const&, llvm::SmallVector<char const*, 16u>&, bool, bool) (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] clang::driver::tools::Clang::RenderTargetOptions(llvm::Triple const&, llvm::opt::ArgList const&, bool, llvm::SmallVector<char const*, 16u>&) const (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] clang::driver::tools::Clang::ConstructJob(clang::driver::Compilation&, clang::driver::JobAction const&, clang::driver::InputInfo const&, llvm::SmallVector<clang::driver::InputInfo, 4u> const&, llvm::opt::ArgList const&, char const*) const (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] clang::driver::Driver::BuildJobsForActionNoCache(clang::driver::Compilation&, clang::driver::Action const*, clang::driver::ToolChain const*, llvm::StringRef, bool, bool, char const*, std::__1::map<std::__1::pair<clang::driver::Action const*, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>, llvm::SmallVector<clang::driver::InputInfo, 4u>, std::__1::less<std::__1::pair<clang::driver::Action const*, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>>, std::__1::allocator<std::__1::pair<std::__1::pair<clang::driver::Action const*, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>> const, llvm::SmallVector<clang::driver::InputInfo, 4u>>>>&, clang::driver::Action::OffloadKind) const (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] clang::driver::Driver::BuildJobsForAction(clang::driver::Compilation&, clang::driver::Action const*, clang::driver::ToolChain const*, llvm::StringRef, bool, bool, char const*, std::__1::map<std::__1::pair<clang::driver::Action const*, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>, llvm::SmallVector<clang::driver::InputInfo, 4u>, std::__1::less<std::__1::pair<clang::driver::Action const*, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>>, std::__1::allocator<std::__1::pair<std::__1::pair<clang::driver::Action const*, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>> const, llvm::SmallVector<clang::driver::InputInfo, 4u>>>>&, clang::driver::Action::OffloadKind) const (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] clang::driver::Driver::BuildJobsForActionNoCache(clang::driver::Compilation&, clang::driver::Action const*, clang::driver::ToolChain const*, llvm::StringRef, bool, bool, char const*, std::__1::map<std::__1::pair<clang::driver::Action const*, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>, llvm::SmallVector<clang::driver::InputInfo, 4u>, std::__1::less<std::__1::pair<clang::driver::Action const*, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>>, std::__1::allocator<std::__1::pair<std::__1::pair<clang::driver::Action const*, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>> const, llvm::SmallVector<clang::driver::InputInfo, 4u>>>>&, clang::driver::Action::OffloadKind) const (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] clang::driver::Driver::BuildJobsForAction(clang::driver::Compilation&, clang::driver::Action const*, clang::driver::ToolChain const*, llvm::StringRef, bool, bool, char const*, std::__1::map<std::__1::pair<clang::driver::Action const*, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>, llvm::SmallVector<clang::driver::InputInfo, 4u>, std::__1::less<std::__1::pair<clang::driver::Action const*, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>>, std::__1::allocator<std::__1::pair<std::__1::pair<clang::driver::Action const*, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>> const, llvm::SmallVector<clang::driver::InputInfo, 4u>>>>&, clang::driver::Action::OffloadKind) const (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] clang::driver::Driver::BuildJobs(clang::driver::Compilation&) const (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] clang::driver::Driver::BuildCompilation(llvm::ArrayRef<char const*>) (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] (anonymous namespace)::createCIImpl(std::__1::unique_ptr<llvm::MemoryBuffer, std::__1::default_delete<llvm::MemoryBuffer>>, cling::CompilerOptions const&, char const*, std::__1::unique_ptr<clang::ASTConsumer, std::__1::default_delete<clang::ASTConsumer>>, std::__1::vector<std::__1::shared_ptr<clang::ModuleFileExtension>, std::__1::allocator<std::__1::shared_ptr<clang::ModuleFileExtension>>> const&, bool, bool) (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] cling::CIFactory::createCI(llvm::StringRef, cling::InvocationOptions const&, char const*, std::__1::unique_ptr<clang::ASTConsumer, std::__1::default_delete<clang::ASTConsumer>>, std::__1::vector<std::__1::shared_ptr<clang::ModuleFileExtension>, std::__1::allocator<std::__1::shared_ptr<clang::ModuleFileExtension>>> const&) (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] cling::IncrementalParser::IncrementalParser(cling::Interpreter*, char const*, std::__1::vector<std::__1::shared_ptr<clang::ModuleFileExtension>, std::__1::allocator<std::__1::shared_ptr<clang::ModuleFileExtension>>> const&) (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] cling::Interpreter::Interpreter(int, char const* const*, char const*, std::__1::vector<std::__1::shared_ptr<clang::ModuleFileExtension>, std::__1::allocator<std::__1::shared_ptr<clang::ModuleFileExtension>>> const&, void*, bool, cling::Interpreter const*) (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] TCling::TCling(char const*, char const*, char const* const*, void*) /Users/sftnight/ROOT-CI/src/interpreter/cling/include/cling/Interpreter/Interpreter.h:0
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] CreateInterpreter /Users/sftnight/ROOT-CI/src/core/metacling/src/TCling.cxx:613
[/Users/sftnight/ROOT-CI/build/lib/libCore.so] TROOT::InitInterpreter() /Users/sftnight/ROOT-CI/src/core/base/src/TROOT.cxx:2126
[/Users/sftnight/ROOT-CI/build/lib/libCore.so] ROOT::Internal::GetROOT2() /Users/sftnight/ROOT-CI/src/core/base/src/TROOT.cxx:393
[/Users/sftnight/ROOT-CI/build/lib/libcppyy_backend.so] _GLOBAL__sub_I_clingwrapper.cxx (no debug info)
[/usr/lib/dyld] invocation function for block in dyld4::Loader::findAndRunAllInitializers(dyld4::RuntimeState&) const (no debug info)
[/usr/lib/dyld] invocation function for block in dyld3::MachOAnalyzer::forEachInitializer(Diagnostics&, dyld3::MachOAnalyzer::VMAddrConverter const&, void (unsigned int) block_pointer, void const*) const (no debug info)
[/usr/lib/dyld] invocation function for block in dyld3::MachOFile::forEachSection(void (dyld3::MachOFile::SectionInfo const&, bool, bool&) block_pointer) const (no debug info)
[/usr/lib/dyld] dyld3::MachOFile::forEachLoadCommand(Diagnostics&, void (load_command const*, bool&) block_pointer) const (no debug info)
[/usr/lib/dyld] dyld3::MachOFile::forEachSection(void (dyld3::MachOFile::SectionInfo const&, bool, bool&) block_pointer) const (no debug info)
[/usr/lib/dyld] dyld3::MachOAnalyzer::forEachInitializer(Diagnostics&, dyld3::MachOAnalyzer::VMAddrConverter const&, void (unsigned int) block_pointer, void const*) const (no debug info)
[/usr/lib/dyld] dyld4::Loader::findAndRunAllInitializers(dyld4::RuntimeState&) const (no debug info)
[/usr/lib/dyld] dyld4::JustInTimeLoader::runInitializers(dyld4::RuntimeState&) const (no debug info)
[/usr/lib/dyld] dyld4::Loader::runInitializersBottomUp(dyld4::RuntimeState&, dyld3::Array<dyld4::Loader const*>&, dyld3::Array<dyld4::Loader const*>&) const (no debug info)
[/usr/lib/dyld] dyld4::Loader::runInitializersBottomUpPlusUpwardLinks(dyld4::RuntimeState&) const::$_0::operator()() const (no debug info)
[/usr/lib/dyld] dyld4::Loader::runInitializersBottomUpPlusUpwardLinks(dyld4::RuntimeState&) const (no debug info)
[/usr/lib/dyld] dyld4::APIs::dlopen_from(char const*, int, void*) (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/lib/python3.9/lib-dynload/_ctypes.cpython-39-darwin.so] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyObject_MakeTpCall (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyFunction_Vectorcall (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyObject_FastCallDictTstate (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyObject_Call_Prepend (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyObject_MakeTpCall (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] PyEval_EvalCode (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyFunction_Vectorcall (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyObject_CallMethodIdObjArgs (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] PyImport_ImportModuleLevelObject (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] PyEval_EvalCode (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyFunction_Vectorcall (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyObject_CallMethodIdObjArgs (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] PyImport_ImportModuleLevelObject (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] PyEval_EvalCode (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyFunction_Vectorcall (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyObject_CallMethodIdObjArgs (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] PyImport_ImportModuleLevelObject (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] PyEval_EvalCode (no debug info)
*** Break *** segmentation violation
[/usr/lib/system/libsystem_platform.dylib] _sigtramp (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] TCling::ResetGlobals() /Users/sftnight/ROOT-CI/src/core/metacling/src/TCling.cxx:3761
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] TCling::ResetGlobals() /Users/sftnight/ROOT-CI/src/core/metacling/src/TCling.cxx:3761
[/Users/sftnight/ROOT-CI/build/lib/libCore.so] TROOT::EndOfProcessCleanups() /Users/sftnight/ROOT-CI/src/core/base/src/TROOT.cxx:1262
[/Users/sftnight/ROOT-CI/build/lib/libCore.so] TUnixSystem::Exit(int, bool) /Users/sftnight/ROOT-CI/src/core/unix/src/TUnixSystem.cxx:2196
[/Users/sftnight/ROOT-CI/build/lib/libCore.so] TUnixSystem::DispatchSignals(ESignals) /Users/sftnight/ROOT-CI/src/core/unix/src/TUnixSystem.cxx:0
[/usr/lib/system/libsystem_platform.dylib] _sigtramp (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] llvm::AArch64::ExtensionSet::addCPUDefaults(llvm::AArch64::CpuInfo const&) (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] llvm::AArch64::ExtensionSet::addCPUDefaults(llvm::AArch64::CpuInfo const&) (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] DecodeAArch64Mcpu(clang::driver::Driver const&, llvm::StringRef, llvm::StringRef&, llvm::AArch64::ExtensionSet&) (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] clang::driver::tools::aarch64::getAArch64TargetFeatures(clang::driver::Driver const&, llvm::Triple const&, llvm::opt::ArgList const&, std::__1::vector<llvm::StringRef, std::__1::allocator<llvm::StringRef>>&, bool) (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] clang::driver::tools::getTargetFeatures(clang::driver::Driver const&, llvm::Triple const&, llvm::opt::ArgList const&, llvm::SmallVector<char const*, 16u>&, bool, bool) (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] clang::driver::tools::Clang::RenderTargetOptions(llvm::Triple const&, llvm::opt::ArgList const&, bool, llvm::SmallVector<char const*, 16u>&) const (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] clang::driver::tools::Clang::ConstructJob(clang::driver::Compilation&, clang::driver::JobAction const&, clang::driver::InputInfo const&, llvm::SmallVector<clang::driver::InputInfo, 4u> const&, llvm::opt::ArgList const&, char const*) const (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] clang::driver::Driver::BuildJobsForActionNoCache(clang::driver::Compilation&, clang::driver::Action const*, clang::driver::ToolChain const*, llvm::StringRef, bool, bool, char const*, std::__1::map<std::__1::pair<clang::driver::Action const*, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>, llvm::SmallVector<clang::driver::InputInfo, 4u>, std::__1::less<std::__1::pair<clang::driver::Action const*, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>>, std::__1::allocator<std::__1::pair<std::__1::pair<clang::driver::Action const*, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>> const, llvm::SmallVector<clang::driver::InputInfo, 4u>>>>&, clang::driver::Action::OffloadKind) const (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] clang::driver::Driver::BuildJobsForAction(clang::driver::Compilation&, clang::driver::Action const*, clang::driver::ToolChain const*, llvm::StringRef, bool, bool, char const*, std::__1::map<std::__1::pair<clang::driver::Action const*, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>, llvm::SmallVector<clang::driver::InputInfo, 4u>, std::__1::less<std::__1::pair<clang::driver::Action const*, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>>, std::__1::allocator<std::__1::pair<std::__1::pair<clang::driver::Action const*, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>> const, llvm::SmallVector<clang::driver::InputInfo, 4u>>>>&, clang::driver::Action::OffloadKind) const (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] clang::driver::Driver::BuildJobsForActionNoCache(clang::driver::Compilation&, clang::driver::Action const*, clang::driver::ToolChain const*, llvm::StringRef, bool, bool, char const*, std::__1::map<std::__1::pair<clang::driver::Action const*, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>, llvm::SmallVector<clang::driver::InputInfo, 4u>, std::__1::less<std::__1::pair<clang::driver::Action const*, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>>, std::__1::allocator<std::__1::pair<std::__1::pair<clang::driver::Action const*, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>> const, llvm::SmallVector<clang::driver::InputInfo, 4u>>>>&, clang::driver::Action::OffloadKind) const (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] clang::driver::Driver::BuildJobsForAction(clang::driver::Compilation&, clang::driver::Action const*, clang::driver::ToolChain const*, llvm::StringRef, bool, bool, char const*, std::__1::map<std::__1::pair<clang::driver::Action const*, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>, llvm::SmallVector<clang::driver::InputInfo, 4u>, std::__1::less<std::__1::pair<clang::driver::Action const*, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>>, std::__1::allocator<std::__1::pair<std::__1::pair<clang::driver::Action const*, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>> const, llvm::SmallVector<clang::driver::InputInfo, 4u>>>>&, clang::driver::Action::OffloadKind) const (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] clang::driver::Driver::BuildJobs(clang::driver::Compilation&) const (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] clang::driver::Driver::BuildCompilation(llvm::ArrayRef<char const*>) (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] (anonymous namespace)::createCIImpl(std::__1::unique_ptr<llvm::MemoryBuffer, std::__1::default_delete<llvm::MemoryBuffer>>, cling::CompilerOptions const&, char const*, std::__1::unique_ptr<clang::ASTConsumer, std::__1::default_delete<clang::ASTConsumer>>, std::__1::vector<std::__1::shared_ptr<clang::ModuleFileExtension>, std::__1::allocator<std::__1::shared_ptr<clang::ModuleFileExtension>>> const&, bool, bool) (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] cling::CIFactory::createCI(llvm::StringRef, cling::InvocationOptions const&, char const*, std::__1::unique_ptr<clang::ASTConsumer, std::__1::default_delete<clang::ASTConsumer>>, std::__1::vector<std::__1::shared_ptr<clang::ModuleFileExtension>, std::__1::allocator<std::__1::shared_ptr<clang::ModuleFileExtension>>> const&) (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] cling::IncrementalParser::IncrementalParser(cling::Interpreter*, char const*, std::__1::vector<std::__1::shared_ptr<clang::ModuleFileExtension>, std::__1::allocator<std::__1::shared_ptr<clang::ModuleFileExtension>>> const&) (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] cling::Interpreter::Interpreter(int, char const* const*, char const*, std::__1::vector<std::__1::shared_ptr<clang::ModuleFileExtension>, std::__1::allocator<std::__1::shared_ptr<clang::ModuleFileExtension>>> const&, void*, bool, cling::Interpreter const*) (no debug info)
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] TCling::TCling(char const*, char const*, char const* const*, void*) /Users/sftnight/ROOT-CI/src/interpreter/cling/include/cling/Interpreter/Interpreter.h:0
[/Users/sftnight/ROOT-CI/build/lib/libCling.so] CreateInterpreter /Users/sftnight/ROOT-CI/src/core/metacling/src/TCling.cxx:613
[/Users/sftnight/ROOT-CI/build/lib/libCore.so] TROOT::InitInterpreter() /Users/sftnight/ROOT-CI/src/core/base/src/TROOT.cxx:2126
[/Users/sftnight/ROOT-CI/build/lib/libCore.so] ROOT::Internal::GetROOT2() /Users/sftnight/ROOT-CI/src/core/base/src/TROOT.cxx:393
[/Users/sftnight/ROOT-CI/build/lib/libcppyy_backend.so] _GLOBAL__sub_I_clingwrapper.cxx (no debug info)
[/usr/lib/dyld] invocation function for block in dyld4::Loader::findAndRunAllInitializers(dyld4::RuntimeState&) const (no debug info)
[/usr/lib/dyld] invocation function for block in dyld3::MachOAnalyzer::forEachInitializer(Diagnostics&, dyld3::MachOAnalyzer::VMAddrConverter const&, void (unsigned int) block_pointer, void const*) const (no debug info)
[/usr/lib/dyld] invocation function for block in dyld3::MachOFile::forEachSection(void (dyld3::MachOFile::SectionInfo const&, bool, bool&) block_pointer) const (no debug info)
[/usr/lib/dyld] dyld3::MachOFile::forEachLoadCommand(Diagnostics&, void (load_command const*, bool&) block_pointer) const (no debug info)
[/usr/lib/dyld] dyld3::MachOFile::forEachSection(void (dyld3::MachOFile::SectionInfo const&, bool, bool&) block_pointer) const (no debug info)
[/usr/lib/dyld] dyld3::MachOAnalyzer::forEachInitializer(Diagnostics&, dyld3::MachOAnalyzer::VMAddrConverter const&, void (unsigned int) block_pointer, void const*) const (no debug info)
[/usr/lib/dyld] dyld4::Loader::findAndRunAllInitializers(dyld4::RuntimeState&) const (no debug info)
[/usr/lib/dyld] dyld4::JustInTimeLoader::runInitializers(dyld4::RuntimeState&) const (no debug info)
[/usr/lib/dyld] dyld4::Loader::runInitializersBottomUp(dyld4::RuntimeState&, dyld3::Array<dyld4::Loader const*>&, dyld3::Array<dyld4::Loader const*>&) const (no debug info)
[/usr/lib/dyld] dyld4::Loader::runInitializersBottomUpPlusUpwardLinks(dyld4::RuntimeState&) const::$_0::operator()() const (no debug info)
[/usr/lib/dyld] dyld4::Loader::runInitializersBottomUpPlusUpwardLinks(dyld4::RuntimeState&) const (no debug info)
[/usr/lib/dyld] dyld4::APIs::dlopen_from(char const*, int, void*) (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/lib/python3.9/lib-dynload/_ctypes.cpython-39-darwin.so] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyObject_MakeTpCall (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyFunction_Vectorcall (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyObject_FastCallDictTstate (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyObject_Call_Prepend (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyObject_MakeTpCall (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] PyEval_EvalCode (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyFunction_Vectorcall (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyObject_CallMethodIdObjArgs (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] PyImport_ImportModuleLevelObject (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] PyEval_EvalCode (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyFunction_Vectorcall (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyObject_CallMethodIdObjArgs (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] PyImport_ImportModuleLevelObject (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] PyEval_EvalCode (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyFunction_Vectorcall (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] _PyEval_EvalFrameDefault (no debug info)
[/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Python3] (no debug info)
Check warning on line 0 in tutorial-tmva-TMVA_Higgs_Classification-py
github-actions / Test Results
1 out of 19 runs failed: tutorial-tmva-TMVA_Higgs_Classification-py (tutorial-tmva-TMVA_Higgs_Classification-py)
artifacts/Test Results alma9/TestResults.xml [took 25s]
Raw output
2024-11-30 23:55:55.224339: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-11-30 23:55:55.259820: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-11-30 23:55:55.259869: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-11-30 23:55:55.260996: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-11-30 23:55:55.269040: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-11-30 23:55:55.925972: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
return self._float_to_str(self.smallest_subnormal)
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
return self._float_to_str(self.smallest_subnormal)
Info in <TMVA_Higgs_Classification>: Download Higgs_data.root file
Info in <TFile::OpenFromCache>: using local cache copy of http://root.cern.ch/files/Higgs_data.root [./files/Higgs_data.root]
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DataSetInfo : [dataset] : Added class "Signal"
: Add Tree sig_tree of type Signal with 10000 events
DataSetInfo : [dataset] : Added class "Background"
: Add Tree bkg_tree of type Background with 10000 events
Factory : Booking method: [NON-XML-CHAR-0x1B][1mLikelihood[NON-XML-CHAR-0x1B][0m
:
Factory : Booking method: [NON-XML-CHAR-0x1B][1mFisher[NON-XML-CHAR-0x1B][0m
:
Factory : Booking method: [NON-XML-CHAR-0x1B][1mBDT[NON-XML-CHAR-0x1B][0m
:
: Rebuilding Dataset dataset
: Building event vectors for type 2 Signal
: Dataset[dataset] : create input formulas for tree sig_tree
: Building event vectors for type 2 Background
: Dataset[dataset] : create input formulas for tree bkg_tree
DataSetFactory : [dataset] : Number of events in input trees
:
:
: Number of training and testing events
: ---------------------------------------------------------------------------
: Signal -- training events : 7000
: Signal -- testing events : 3000
: Signal -- training and testing events: 10000
: Background -- training events : 7000
: Background -- testing events : 3000
: Background -- training and testing events: 10000
:
DataSetInfo : Correlation matrix (Signal):
: ----------------------------------------------------------------
: m_jj m_jjj m_lv m_jlv m_bb m_wbb m_wwbb
: m_jj: +1.000 +0.777 +0.010 +0.107 +0.036 +0.517 +0.532
: m_jjj: +0.777 +1.000 +0.006 +0.083 +0.157 +0.682 +0.669
: m_lv: +0.010 +0.006 +1.000 +0.111 -0.026 +0.011 +0.023
: m_jlv: +0.107 +0.083 +0.111 +1.000 +0.325 +0.550 +0.555
: m_bb: +0.036 +0.157 -0.026 +0.325 +1.000 +0.463 +0.347
: m_wbb: +0.517 +0.682 +0.011 +0.550 +0.463 +1.000 +0.912
: m_wwbb: +0.532 +0.669 +0.023 +0.555 +0.347 +0.912 +1.000
: ----------------------------------------------------------------
DataSetInfo : Correlation matrix (Background):
: ----------------------------------------------------------------
: m_jj m_jjj m_lv m_jlv m_bb m_wbb m_wwbb
: m_jj: +1.000 +0.804 +0.017 +0.125 +0.007 +0.381 +0.394
: m_jjj: +0.804 +1.000 +0.025 +0.159 +0.153 +0.535 +0.520
: m_lv: +0.017 +0.025 +1.000 +0.114 +0.042 +0.064 +0.069
: m_jlv: +0.125 +0.159 +0.114 +1.000 +0.286 +0.592 +0.542
: m_bb: +0.007 +0.153 +0.042 +0.286 +1.000 +0.623 +0.441
: m_wbb: +0.381 +0.535 +0.064 +0.592 +0.623 +1.000 +0.878
: m_wwbb: +0.394 +0.520 +0.069 +0.542 +0.441 +0.878 +1.000
: ----------------------------------------------------------------
DataSetFactory : [dataset] :
:
Factory : Booking method: [NON-XML-CHAR-0x1B][1mDNN_CPU[NON-XML-CHAR-0x1B][0m
:
: Parsing option string:
: ... "!H:V:ErrorStrategy=CROSSENTROPY:VarTransform=G:WeightInitialization=XAVIER:InputLayout=1|1|7:BatchLayout=1|128|7:Layout=DENSE|64|TANH,DENSE|64|TANH,DENSE|64|TANH,DENSE|64|TANH,DENSE|1|LINEAR:TrainingStrategy=LearningRate=1e-3,Momentum=0.9,ConvergenceSteps=10,BatchSize=128,TestRepetitions=1,MaxEpochs=20,WeightDecay=1e-4,Regularization=None,Optimizer=ADAM,ADAM_beta1=0.9,ADAM_beta2=0.999,ADAM_eps=1.E-7,DropConfig=0.0+0.0+0.0+0.:Architecture=CPU"
: The following options are set:
: - By User:
: <none>
: - Default:
: Boost_num: "0" [Number of times the classifier will be boosted]
: Parsing option string:
: ... "!H:V:ErrorStrategy=CROSSENTROPY:VarTransform=G:WeightInitialization=XAVIER:InputLayout=1|1|7:BatchLayout=1|128|7:Layout=DENSE|64|TANH,DENSE|64|TANH,DENSE|64|TANH,DENSE|64|TANH,DENSE|1|LINEAR:TrainingStrategy=LearningRate=1e-3,Momentum=0.9,ConvergenceSteps=10,BatchSize=128,TestRepetitions=1,MaxEpochs=20,WeightDecay=1e-4,Regularization=None,Optimizer=ADAM,ADAM_beta1=0.9,ADAM_beta2=0.999,ADAM_eps=1.E-7,DropConfig=0.0+0.0+0.0+0.:Architecture=CPU"
: The following options are set:
: - By User:
: V: "True" [Verbose output (short form of "VerbosityLevel" below - overrides the latter one)]
: VarTransform: "G" [List of variable transformations performed before training, e.g., "D_Background,P_Signal,G,N_AllClasses" for: "Decorrelation, PCA-transformation, Gaussianisation, Normalisation, each for the given class of events ('AllClasses' denotes all events of all classes, if no class indication is given, 'All' is assumed)"]
: H: "False" [Print method-specific help message]
: InputLayout: "1|1|7" [The Layout of the input]
: BatchLayout: "1|128|7" [The Layout of the batch]
: Layout: "DENSE|64|TANH,DENSE|64|TANH,DENSE|64|TANH,DENSE|64|TANH,DENSE|1|LINEAR" [Layout of the network.]
: ErrorStrategy: "CROSSENTROPY" [Loss function: Mean squared error (regression) or cross entropy (binary classification).]
: WeightInitialization: "XAVIER" [Weight initialization strategy]
: Architecture: "CPU" [Which architecture to perform the training on.]
: TrainingStrategy: "LearningRate=1e-3,Momentum=0.9,ConvergenceSteps=10,BatchSize=128,TestRepetitions=1,MaxEpochs=20,WeightDecay=1e-4,Regularization=None,Optimizer=ADAM,ADAM_beta1=0.9,ADAM_beta2=0.999,ADAM_eps=1.E-7,DropConfig=0.0+0.0+0.0+0." [Defines the training strategies.]
: - Default:
: VerbosityLevel: "Default" [Verbosity level]
: CreateMVAPdfs: "False" [Create PDFs for classifier outputs (signal and background)]
: IgnoreNegWeightsInTraining: "False" [Events with negative weights are ignored in the training (but are included for testing and performance evaluation)]
: RandomSeed: "0" [Random seed used for weight initialization and batch shuffling]
: ValidationSize: "20%" [Part of the training data to use for validation. Specify as 0.2 or 20% to use a fifth of the data set as validation set. Specify as 100 to use exactly 100 events. (Default: 20%)]
DNN_CPU : [dataset] : Create Transformation "G" with events from all classes.
:
: Transformation, Variable selection :
: Input : variable 'm_jj' <---> Output : variable 'm_jj'
: Input : variable 'm_jjj' <---> Output : variable 'm_jjj'
: Input : variable 'm_lv' <---> Output : variable 'm_lv'
: Input : variable 'm_jlv' <---> Output : variable 'm_jlv'
: Input : variable 'm_bb' <---> Output : variable 'm_bb'
: Input : variable 'm_wbb' <---> Output : variable 'm_wbb'
: Input : variable 'm_wwbb' <---> Output : variable 'm_wwbb'
: Will now use the CPU architecture with BLAS and IMT support !
Info in <TMVA_Higgs_Classification>: Building Deep Learning keras model
/py-venv/ROOT-CI/lib64/python3.9/site-packages/keras/src/engine/training.py:3103: UserWarning: You are saving your model as an HDF5 file via `model.save()`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')`.
saving_api.save_model(
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense (Dense) (None, 64) 512
dense_1 (Dense) (None, 64) 4160
dense_2 (Dense) (None, 64) 4160
dense_3 (Dense) (None, 64) 4160
dense_4 (Dense) (None, 2) 130
=================================================================
Total params: 13122 (51.26 KB)
Trainable params: 13122 (51.26 KB)
Non-trainable Info in <TMVA_Higgs_Classification>: Booking Deep Learning keras model
params: 0 (0.00 Byte)
_________________________________________________________________
Factory : Booking method: [NON-XML-CHAR-0x1B][1mPyKeras[NON-XML-CHAR-0x1B][0m
:
: Setting up tf.keras
: Using TensorFlow version 2
: Use Keras version from TensorFlow : tf.keras
: Loading Keras Model
: Loaded model from file: model_higgs.h5
Factory : [NON-XML-CHAR-0x1B][1mTrain all methods[NON-XML-CHAR-0x1B][0m
Factory : [dataset] : Create Transformation "I" with events from all classes.
:
: Transformation, Variable selection :
: Input : variable 'm_jj' <---> Output : variable 'm_jj'
: Input : variable 'm_jjj' <---> Output : variable 'm_jjj'
: Input : variable 'm_lv' <---> Output : variable 'm_lv'
: Input : variable 'm_jlv' <---> Output : variable 'm_jlv'
: Input : variable 'm_bb' <---> Output : variable 'm_bb'
: Input : variable 'm_wbb' <---> Output : variable 'm_wbb'
: Input : variable 'm_wwbb' <---> Output : variable 'm_wwbb'
TFHandler_Factory : Variable Mean RMS [ Min Max ]
: -----------------------------------------------------------
: m_jj: 1.0352 0.65399 [ 0.14661 13.098 ]
: m_jjj: 1.0218 0.36964 [ 0.34201 7.3920 ]
: m_lv: 1.0497 0.16065 [ 0.26679 3.6823 ]
: m_jlv: 1.0126 0.39935 [ 0.38441 6.5831 ]
: m_bb: 0.98070 0.53223 [ 0.093482 7.8598 ]
: m_wbb: 1.0338 0.35968 [ 0.38503 4.5425 ]
: m_wwbb: 0.96049 0.31009 [ 0.43228 4.0728 ]
: -----------------------------------------------------------
: Ranking input variables (method unspecific)...
IdTransformation : Ranking result (top variable is best ranked)
: -------------------------------
: Rank : Variable : Separation
: -------------------------------
: 1 : m_bb : 9.114e-02
: 2 : m_wwbb : 4.330e-02
: 3 : m_wbb : 4.241e-02
: 4 : m_jjj : 2.875e-02
: 5 : m_jlv : 1.905e-02
: 6 : m_jj : 3.432e-03
: 7 : m_lv : 2.855e-03
: -------------------------------
Factory : Train method: Likelihood for Classification
:
:
: [NON-XML-CHAR-0x1B][1m================================================================[NON-XML-CHAR-0x1B][0m
: [NON-XML-CHAR-0x1B][1mH e l p f o r M V A m e t h o d [ Likelihood ] :[NON-XML-CHAR-0x1B][0m
:
: [NON-XML-CHAR-0x1B][1m--- Short description:[NON-XML-CHAR-0x1B][0m
:
: The maximum-likelihood classifier models the data with probability
: density functions (PDF) reproducing the signal and background
: distributions of the input variables. Correlations among the
: variables are ignored.
:
: [NON-XML-CHAR-0x1B][1m--- Performance optimisation:[NON-XML-CHAR-0x1B][0m
:
: Required for good performance are decorrelated input variables
: (PCA transformation via the option "VarTransform=Decorrelate"
: may be tried). Irreducible non-linear correlations may be reduced
: by precombining strongly correlated input variables, or by simply
: removing one of the variables.
:
: [NON-XML-CHAR-0x1B][1m--- Performance tuning via configuration options:[NON-XML-CHAR-0x1B][0m
:
: High fidelity PDF estimates are mandatory, i.e., sufficient training
: statistics is required to populate the tails of the distributions
: It would be a surprise if the default Spline or KDE kernel parameters
: provide a satisfying fit to the data. The user is advised to properly
: tune the events per bin and smooth options in the spline cases
: individually per variable. If the KDE kernel is used, the adaptive
: Gaussian kernel may lead to artefacts, so please always also try
: the non-adaptive one.
:
: All tuning parameters must be adjusted individually for each input
: variable!
:
: <Suppress this message by specifying "!H" in the booking option>
: [NON-XML-CHAR-0x1B][1m================================================================[NON-XML-CHAR-0x1B][0m
:
: Filling reference histograms
: Building PDF out of reference histograms
: Elapsed time for training with 14000 events: 0.25 sec
Likelihood : [dataset] : Evaluation of Likelihood on training sample (14000 events)
0%, time left: unknown
7%, time left: 0 sec
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: Elapsed time for evaluation of 14000 events: 0.0452 sec
: Creating xml weight file: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVA_Higgs_Classification_Likelihood.weights.xml[NON-XML-CHAR-0x1B][0m
: Creating standalone class: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVA_Higgs_Classification_Likelihood.class.C[NON-XML-CHAR-0x1B][0m
: Higgs_ClassificationOutput.root:/dataset/Method_Likelihood/Likelihood
Factory : Training finished
:
Factory : Train method: Fisher for Classification
:
:
: [NON-XML-CHAR-0x1B][1m================================================================[NON-XML-CHAR-0x1B][0m
: [NON-XML-CHAR-0x1B][1mH e l p f o r M V A m e t h o d [ Fisher ] :[NON-XML-CHAR-0x1B][0m
:
: [NON-XML-CHAR-0x1B][1m--- Short description:[NON-XML-CHAR-0x1B][0m
:
: Fisher discriminants select events by distinguishing the mean
: values of the signal and background distributions in a trans-
: formed variable space where linear correlations are removed.
:
: (More precisely: the "linear discriminator" determines
: an axis in the (correlated) hyperspace of the input
: variables such that, when projecting the output classes
: (signal and background) upon this axis, they are pushed
: as far as possible away from each other, while events
: of a same class are confined in a close vicinity. The
: linearity property of this classifier is reflected in the
: metric with which "far apart" and "close vicinity" are
: determined: the covariance matrix of the discriminating
: variable space.)
:
: [NON-XML-CHAR-0x1B][1m--- Performance optimisation:[NON-XML-CHAR-0x1B][0m
:
: Optimal performance for Fisher discriminants is obtained for
: linearly correlated Gaussian-distributed variables. Any deviation
: from this ideal reduces the achievable separation power. In
: particular, no discrimination at all is achieved for a variable
: that has the same sample mean for signal and background, even if
: the shapes of the distributions are very different. Thus, Fisher
: discriminants often benefit from suitable transformations of the
: input variables. For example, if a variable x in [-1,1] has a
: a parabolic signal distributions, and a uniform background
: distributions, their mean value is zero in both cases, leading
: to no separation. The simple transformation x -> |x| renders this
: variable powerful for the use in a Fisher discriminant.
:
: [NON-XML-CHAR-0x1B][1m--- Pe…4/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
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0x00007f7ba6750ca8 in PyRun_StringFlags + 0xa8 from /lib64/libpython3.9.so.1.0
0x00007f7b83b32a5e in TMVA::PyMethodBase::PyRunString(TString, TString, int) at /github/home/ROOT-CI/src/tmva/pymva/src/PyMethodBase.cxx:327 from /github/home/ROOT-CI/build/lib/libPyMVA.so
0x00007f7b83ad88e4 in TMVA::MethodPyKeras::Train() at /github/home/ROOT-CI/src/tmva/pymva/src/MethodPyKeras.cxx:596 (discriminator 5) from /github/home/ROOT-CI/build/lib/libPyMVA.so
0x00007f7b8812b18d in TMVA::MethodBase::TrainMethod() at /github/home/ROOT-CI/src/tmva/tmva/src/MethodBase.cxx:671 from /github/home/ROOT-CI/build/lib/libTMVA.so
0x00007f7b880e54c1 in TMVA::Factory::TrainAllMethods() at /github/home/ROOT-CI/src/tmva/tmva/src/Factory.cxx:1174 from /github/home/ROOT-CI/build/lib/libTMVA.so
0x00007f7ba5e4a3c3 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy_backend.so
0x00007f7ba5e4a6b1 in Cppyy::CallV(long, void*, unsigned long, void*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/cppyy-backend/clingwrapper/src/clingwrapper.cxx:855 from /github/home/ROOT-CI/build/lib/libcppyy_backend.so
0x00007f7b89b70bc5 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007f7b89b73011 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007f7b89b4fb2a in CPyCppyy::CPPMethod::ExecuteFast(void*, long, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx:123 from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007f7b89b4f232 in CPyCppyy::CPPMethod::Execute(void*, long, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx:953 from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007f7b89b4f484 in CPyCppyy::CPPMethod::Call(CPyCppyy::CPPInstance*&, _object* const*, unsigned long, _object*, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx:1013 from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007f7b89b54b09 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007f7ba667c44c in _PyEval_EvalFrameDefault + 0x75c from /lib64/libpython3.9.so.1.0
0x00007f7ba667acd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f7ba667a945 in _PyEval_EvalCodeWithName + 0x55 from /lib64/libpython3.9.so.1.0
0x00007f7ba672fa77 in PyEval_EvalCode + 0x27 from /lib64/libpython3.9.so.1.0
0x00007f7ba675d4c4 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f7ba67595bb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f7ba65e3ba2 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f7ba6752e09 in PyRun_SimpleFileExFlags + 0x1b9 from /lib64/libpython3.9.so.1.0
*** Break *** abort
Generating stack trace...
0x00007f7ba5c109ab in <unknown> from /github/home/ROOT-CI/build/lib/libCore.so
0x00007f7ba6382730 in <unknown> from /lib64/libc.so.6
0x00007f7ba63cfa6c in <unknown> from /lib64/libc.so.6
0x00007f7ba6382686 in raise at :? from /lib64/libc.so.6
0x00007f7ba636c833 in abort at :? from /lib64/libc.so.6
0x00007f7ba2788291 in <unknown> from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f7ba27d5dd9 in llvm::SmallVectorBase<unsigned int>::mallocForGrow(void*, unsigned long, unsigned long, unsigned long&) + 0xb9 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f7b7eb53c43 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7eb508ac in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7eb4fa19 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7eb4fe67 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7eb5369e in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7e99a8a4 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7eb4fa2b in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7eb51f47 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7eb51db6 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7e97409b in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7e758882 in tensorflow::grappler::MetaOptimizer::RunOptimizer(tensorflow::grappler::GraphOptimizer*, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem*, tensorflow::GraphDef*, tensorflow::grappler::MetaOptimizer::GraphOptimizationResult*) + 0x392 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7e75754a in tensorflow::grappler::MetaOptimizer::OptimizeGraph(std::vector<std::unique_ptr<tensorflow::grappler::GraphOptimizer, std::default_delete<tensorflow::grappler::GraphOptimizer> >, std::allocator<std::unique_ptr<tensorflow::grappler::GraphOptimizer, std::default_delete<tensorflow::grappler::GraphOptimizer> > > > const&, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem&&, tensorflow::GraphDef*) + 0x79a from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7e75b9a5 in tensorflow::grappler::MetaOptimizer::OptimizeConsumeItem(tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem&&, tensorflow::GraphDef*) + 0x1745 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7e75cfae in tensorflow::grappler::RunMetaOptimizer(tensorflow::grappler::GrapplerItem&&, tensorflow::ConfigProto const&, tensorflow::DeviceBase*, tensorflow::grappler::Cluster*, tensorflow::GraphDef*) + 0x9e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7e75d51f in _ZN10tensorflow8grappler13OptimizeGraphESt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS7_EES9_PNS_25FunctionLibraryDefinitionERKNS_9DeviceSetEPNS_6DeviceERKNS_11ConfigProtoERKS7_RKN + 0x4cf from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7fa6237e in _ZSt13__invoke_implIN4absl12lts_202301256StatusERPFS2_St6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS9_EESB_PN10tensorflow25FunctionLibraryDefinitionERKNSC_9DeviceSetEPNSC_6DeviceER + 0x8e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7fa6222c in _ZNSt17_Function_handlerIFN4absl12lts_202301256StatusESt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS9_EESB_PN10tensorflow25FunctionLibraryDefinitionERKNSC_9DeviceSetEPNSC_6DeviceEP + 0x2c from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7f5f0146 in _ZN10tensorflow21OptimizeFunctionGraphERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEENS_9AttrSliceERKNS_22FunctionLibraryRuntime18InstantiateOptionsERKNS_9DeviceSetEPKNS_25FunctionLibraryDefin + 0x17f6 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7f5f0dae in _ZN10tensorflow40OptimizeFunctionGraphOrReadFromFileCacheERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEENS_9AttrSliceERKNS_22FunctionLibraryRuntime18InstantiateOptionsERKNS_9DeviceSetEPKNS_25F + 0x1fe from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7f5c3160 in tensorflow::ProcessFunctionLibraryRuntime::InstantiateMultiDevice(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x830 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7f5c8f86 in tensorflow::ProcessFunctionLibraryRuntime::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x46 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7f5b6848 in tensorflow::FunctionLibraryRuntimeImpl::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x118 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7efb0f7c in tensorflow::FunctionHandleCache::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions, unsigned long*) + 0x1ac from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7fa5a49d in tensorflow::data::CapturedFunction::Instantiate(tensorflow::data::InstantiateCapturedFunctionParams, std::unique_ptr<tensorflow::data::InstantiatedCapturedFunction, std::default_delete<tensorflow::data::InstantiatedCapturedFunction> >*) + 0x113d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7fa59348 in tensorflow::data::CapturedFunction::Instantiate(tensorflow::data::IteratorContext*, std::unique_ptr<tensorflow::data::InstantiatedCapturedFunction, std::default_delete<tensorflow::data::InstantiatedCapturedFunction> >*) + 0x38 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b706f9d3f in tensorflow::data::MapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x6f from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f7b7ef829db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b72c1e632 in tensorflow::data::PrefetchDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2d2 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f7b7ef829db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b706f3674 in tensorflow::data::FlatMapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x1b4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f7b7ef829db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7077ae3a in tensorflow::data::ZipDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2da from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f7b7ef829db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b71b3f506 in tensorflow::data::ParallelMapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x186 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f7b7ef829db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7ef82a3d in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0x15d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7ef82a3d in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0x15d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b72c1e632 in tensorflow::data::PrefetchDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2d2 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f7b7ef829db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b72ba5e81 in tensorflow::data::RootDataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x6b1 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f7b7ef829db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b72b94ea4 in tensorflow::data::IteratorResource::SetIteratorFromDataset(tensorflow::OpKernelContext*, tensorflow::data::DatasetBase const*) + 0x7a4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f7b72b964b0 in tensorflow::data::MakeIteratorOp::DoCompute(tensorflow::OpKernelContext*) + 0xa0 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f7b72b963e1 in tensorflow::data::HybridAsyncOpKernel::Compute(tensorflow::OpKernelContext*) + 0x21 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f7b7f5a3540 in tensorflow::ThreadPoolDevice::Compute(tensorflow::OpKernel*, tensorflow::OpKernelContext*) + 0x50 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7f65cb68 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7f5bb0e8 in tensorflow::FunctionLibraryRuntimeImpl::RunSync(tensorflow::FunctionLibraryRuntime::Options, unsigned long, absl::lts_20230125::Span<tensorflow::Tensor const>, std::vector<tensorflow::Tensor, std::allocator<tensorflow::Tensor> >*) + 0x238 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7f5c57c9 in _ZNK10tensorflow29ProcessFunctionLibraryRuntime18RunMultiDeviceSyncERKNS_22FunctionLibraryRuntime7OptionsEmPSt6vectorISt7variantIJNS_6TensorENS_11TensorShapeEEESaIS9_EESt8functionIFN4absl12lts_2023012 + 0x6f9 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b7f5cb8b2 in tensorflow::ProcessFunctionLibraryRuntime::RunSync(tensorflow::FunctionLibraryRuntime::Options const&, unsigned long, absl::lts_20230125::Span<tensorflow::Tensor const>, std::vector<tensorflow::Tensor, std::allocator<tensorflow::Tensor> >*) const + 0x212 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7b71d70b06 in _ZN10tensorflow19KernelAndDeviceFunc3RunEPNS_19ScopedStepContainerERKNS_15EagerKernelArgsEPSt6vectorISt7variantIJNS_6TensorENS_11TensorShapeEEESaISA_EEPN3tsl19CancellationManagerERKSt8optionalINS_19Ea + 0x156 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f7b6aba876e in _ZN10tensorflow18EagerKernelExecuteEPNS_12EagerContextERKN4absl12lts_2023012513InlinedVectorIPNS_12TensorHandleELm4ESaIS6_EEERKSt8optionalINS_19EagerFunctionParamsEERKN3tsl4core11RefCountPtrINS_15Kern + 0x22e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f7b6abb2c30 in tensorflow::ExecuteNode::Run() + 0x1f0 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f7b71d6c184 in tensorflow::EagerExecutor::SyncExecute(tensorflow::EagerNode*) + 0xe4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f7b6aba813a in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f7b6aba5b86 in tensorflow::DoEagerExecute(tensorflow::EagerOperation*, tensorflow::TensorHandle**, int*) + 0x216 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f7b6aba9689 in tensorflow::EagerExecute(tensorflow::EagerOperation*, tensorflow::TensorHandle**, int*) + 0x269 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f7b6aba53a7 in tensorflow::EagerOperation::Execute(absl::lts_20230125::Span<tensorflow::AbstractTensorHandle*>, int*) + 0x87 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f7b71d6a793 in tensorflow::CustomDeviceOpHandler::Execute(tensorflow::ImmediateExecutionOperation*, tensorflow::ImmediateExecutionTensorHandle**, int*) + 0x263 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f7b7b3aedf5 in TFE_Execute + 0x45 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f7b7d6f5abd in TFE_Py_FastPathExecute_C(_object*) + 0x286d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../_pywrap_tensorflow_internal.so
0x00007f7b4d3e2724 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/_pywrap_tfe.so
0x00007f7b4d3c06df in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/_pywrap_tfe.so
0x00007f7ba669df22 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f7ba6685c13 in _PyObject_MakeTpCall + 0x2a3 from /lib64/libpython3.9.so.1.0
0x00007f7ba6681ade in _PyEval_EvalFrameDefault + 0x5dee from /lib64/libpython3.9.so.1.0
0x00007f7ba667acd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f7ba668d395 in _PyFunction_Vectorcall + 0xe5 from /lib64/libpython3.9.so.1.0
0x00007f7ba66814d7 in _PyEval_EvalFrameDefault + 0x57e7 from /lib64/libpython3.9.so.1.0
0x00007f7ba668d68b in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f7ba667c44c in _PyEval_EvalFrameDefault + 0x75c from /lib64/libpython3.9.so.1.0
0x00007f7ba667acd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f7ba668546e in _PyObject_FastCallDictTstate + 0x14e from /lib64/libpython3.9.so.1.0
0x00007f7ba66986bb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f7ba6685c2b in _PyObject_MakeTpCall + 0x2bb from /lib64/libpython3.9.so.1.0
0x00007f7ba6681ade in _PyEval_EvalFrameDefault + 0x5dee from /lib64/libpython3.9.so.1.0
0x00007f7ba668d68b in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f7ba66c71fb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f7ba6767be3 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f7ba668da18 in PyObject_GetIter + 0x18 from /lib64/libpython3.9.so.1.0
0x00007f7ba668df20 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f7ba667c147 in _PyEval_EvalFrameDefault + 0x457 from /lib64/libpython3.9.so.1.0
0x00007f7ba66a2b68 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f7ba667c6f9 in _PyEval_EvalFrameDefault + 0xa09 from /lib64/libpython3.9.so.1.0
0x00007f7ba667acd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f7ba668d395 in _PyFunction_Vectorcall + 0xe5 from /lib64/libpython3.9.so.1.0
0x00007f7ba669c1d1 in PyObject_Call + 0xc1 from /lib64/libpython3.9.so.1.0
0x00007f7ba667f59d in _PyEval_EvalFrameDefault + 0x38ad from /lib64/libpython3.9.so.1.0
0x00007f7ba667acd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f7ba669b9c5 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f7ba667d183 in _PyEval_EvalFrameDefault + 0x1493 from /lib64/libpython3.9.so.1.0
0x00007f7ba667acd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f7ba667a945 in _PyEval_EvalCodeWithName + 0x55 from /lib64/libpython3.9.so.1.0
0x00007f7ba672fa77 in PyEval_EvalCode + 0x27 from /lib64/libpython3.9.so.1.0
0x00007f7ba675d4c4 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f7ba67595bb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f7ba6750ca8 in PyRun_StringFlags + 0xa8 from /lib64/libpython3.9.so.1.0
0x00007f7b83b32a5e in TMVA::PyMethodBase::PyRunString(TString, TString, int) at /github/home/ROOT-CI/src/tmva/pymva/src/PyMethodBase.cxx:327 from /github/home/ROOT-CI/build/lib/libPyMVA.so
0x00007f7b83ad88e4 in TMVA::MethodPyKeras::Train() at /github/home/ROOT-CI/src/tmva/pymva/src/MethodPyKeras.cxx:596 (discriminator 5) from /github/home/ROOT-CI/build/lib/libPyMVA.so
0x00007f7b8812b18d in TMVA::MethodBase::TrainMethod() at /github/home/ROOT-CI/src/tmva/tmva/src/MethodBase.cxx:671 from /github/home/ROOT-CI/build/lib/libTMVA.so
0x00007f7b880e54c1 in TMVA::Factory::TrainAllMethods() at /github/home/ROOT-CI/src/tmva/tmva/src/Factory.cxx:1174 from /github/home/ROOT-CI/build/lib/libTMVA.so
0x00007f7ba5e4a3c3 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy_backend.so
0x00007f7ba5e4a6b1 in Cppyy::CallV(long, void*, unsigned long, void*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/cppyy-backend/clingwrapper/src/clingwrapper.cxx:855 from /github/home/ROOT-CI/build/lib/libcppyy_backend.so
0x00007f7b89b70bc5 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007f7b89b73011 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007f7b89b4fb2a in CPyCppyy::CPPMethod::ExecuteFast(void*, long, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx:123 from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007f7b89b4f232 in CPyCppyy::CPPMethod::Execute(void*, long, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx:953 from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007f7b89b4f484 in CPyCppyy::CPPMethod::Call(CPyCppyy::CPPInstance*&, _object* const*, unsigned long, _object*, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx:1013 from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007f7b89b54b09 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007f7ba667c44c in _PyEval_EvalFrameDefault + 0x75c from /lib64/libpython3.9.so.1.0
0x00007f7ba667acd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f7ba667a945 in _PyEval_EvalCodeWithName + 0x55 from /lib64/libpython3.9.so.1.0
0x00007f7ba672fa77 in PyEval_EvalCode + 0x27 from /lib64/libpython3.9.so.1.0
0x00007f7ba675d4c4 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f7ba67595bb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f7ba65e3ba2 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f7ba6752e09 in PyRun_SimpleFileExFlags + 0x1b9 from /lib64/libpython3.9.so.1.0
CMake Error at /github/home/ROOT-CI/build/RootTestDriver.cmake:232 (message):
error code: 133
Check warning on line 0 in tutorial-tmva-TMVA_RNN_Classification-py
github-actions / Test Results
1 out of 19 runs failed: tutorial-tmva-TMVA_RNN_Classification-py (tutorial-tmva-TMVA_RNN_Classification-py)
artifacts/Test Results alma9/TestResults.xml [took 22s]
Raw output
Error regular expression found in output. Regex=[segmentation violation]
Running with nthreads = 4
Warning in <TMVA_RNN_Classification>: TMVA is not build with GPU or CPU multi-thread support. Cannot use TMVA Deep Learning for RNN
--- RNNClassification : Using input file: time_data_t10_d30.root
DataSetInfo : [dataset] : Added class "Signal"
: Add Tree sgn of type Signal with 2000 events
DataSetInfo : [dataset] : Added class "Background"
: Add Tree bkg of type Background with 2000 events
number of variables is 300
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prepared DATA LOADER
Factory : Booking method: [NON-XML-CHAR-0x1B][1mTMVA_LSTM[NON-XML-CHAR-0x1B][0m
:
: Parsing option string:
: ... "!H:V:ErrorStrategy=CROSSENTROPY:VarTransform=None:WeightInitialization=XAVIERUNIFORM:ValidationSize=0.2:RandomSeed=1234:InputLayout=10|30:Layout=LSTM|10|30|10|0|1,RESHAPE|FLAT,DENSE|64|TANH,LINEAR:TrainingStrategy=LearningRate=1e-3,Momentum=0.0,Repetitions=1,ConvergenceSteps=5,BatchSize=100,TestRepetitions=1,WeightDecay=1e-2,Regularization=None,MaxEpochs=10Optimizer=ADAM,DropConfig=0.0+0.+0.+0.:Architecture=CPU"
: The following options are set:
: - By User:
: <none>
: - Default:
: Boost_num: "0" [Number of times the classifier will be boosted]
: Parsing option string:
: ... "!H:V:ErrorStrategy=CROSSENTROPY:VarTransform=None:WeightInitialization=XAVIERUNIFORM:ValidationSize=0.2:RandomSeed=1234:InputLayout=10|30:Layout=LSTM|10|30|10|0|1,RESHAPE|FLAT,DENSE|64|TANH,LINEAR:TrainingStrategy=LearningRate=1e-3,Momentum=0.0,Repetitions=1,ConvergenceSteps=5,BatchSize=100,TestRepetitions=1,WeightDecay=1e-2,Regularization=None,MaxEpochs=10Optimizer=ADAM,DropConfig=0.0+0.+0.+0.:Architecture=CPU"
: The following options are set:
: - By User:
: V: "True" [Verbose output (short form of "VerbosityLevel" below - overrides the latter one)]
: VarTransform: "None" [List of variable transformations performed before training, e.g., "D_Background,P_Signal,G,N_AllClasses" for: "Decorrelation, PCA-transformation, Gaussianisation, Normalisation, each for the given class of events ('AllClasses' denotes all events of all classes, if no class indication is given, 'All' is assumed)"]
: H: "False" [Print method-specific help message]
: InputLayout: "10|30" [The Layout of the input]
: Layout: "LSTM|10|30|10|0|1,RESHAPE|FLAT,DENSE|64|TANH,LINEAR" [Layout of the network.]
: ErrorStrategy: "CROSSENTROPY" [Loss function: Mean squared error (regression) or cross entropy (binary classification).]
: WeightInitialization: "XAVIERUNIFORM" [Weight initialization strategy]
: RandomSeed: "1234" [Random seed used for weight initialization and batch shuffling]
: ValidationSize: "0.2" [Part of the training data to use for validation. Specify as 0.2 or 20% to use a fifth of the data set as validation set. Specify as 100 to use exactly 100 events. (Default: 20%)]
: Architecture: "CPU" [Which architecture to perform the training on.]
: TrainingStrategy: "LearningRate=1e-3,Momentum=0.0,Repetitions=1,ConvergenceSteps=5,BatchSize=100,TestRepetitions=1,WeightDecay=1e-2,Regularization=None,MaxEpochs=10Optimizer=ADAM,DropConfig=0.0+0.+0.+0." [Defines the training strategies.]
: - Default:
: VerbosityLevel: "Default" [Verbosity level]
: CreateMVAPdfs: "False" [Create PDFs for classifier outputs (signal and background)]
: IgnoreNegWeightsInTraining: "False" [Events with negative weights are ignored in the training (but are included for testing and performance evaluation)]
: BatchLayout: "0|0|0" [The Layout of the batch]
: Will now use the CPU architecture with BLAS and IMT support !
Factory : Booking method: [NON-XML-CHAR-0x1B][1mTMVA_DNN[NON-XML-CHAR-0x1B][0m
:
: Parsing option string:
: ... "!H:V:ErrorStrategy=CROSSENTROPY:VarTransform=None:WeightInitialization=XAVIER:RandomSeed=0:InputLayout=1|1|300:Layout=DENSE|64|TANH,DENSE|TANH|64,DENSE|TANH|64,LINEAR:TrainingStrategy=LearningRate=1e-3,Momentum=0.0,Repetitions=1,ConvergenceSteps=10,BatchSize=256,TestRepetitions=1,WeightDecay=1e-4,Regularization=None,MaxEpochs=20DropConfig=0.0+0.+0.+0.,Optimizer=ADAM:CPU"
: The following options are set:
: - By User:
: <none>
: - Default:
: Boost_num: "0" [Number of times the classifier will be boosted]
: Parsing option string:
: ... "!H:V:ErrorStrategy=CROSSENTROPY:VarTransform=None:WeightInitialization=XAVIER:RandomSeed=0:InputLayout=1|1|300:Layout=DENSE|64|TANH,DENSE|TANH|64,DENSE|TANH|64,LINEAR:TrainingStrategy=LearningRate=1e-3,Momentum=0.0,Repetitions=1,ConvergenceSteps=10,BatchSize=256,TestRepetitions=1,WeightDecay=1e-4,Regularization=None,MaxEpochs=20DropConfig=0.0+0.+0.+0.,Optimizer=ADAM:CPU"
: The following options are set:
: - By User:
: V: "True" [Verbose output (short form of "VerbosityLevel" below - overrides the latter one)]
: VarTransform: "None" [List of variable transformations performed before training, e.g., "D_Background,P_Signal,G,N_AllClasses" for: "Decorrelation, PCA-transformation, Gaussianisation, Normalisation, each for the given class of events ('AllClasses' denotes all events of all classes, if no class indication is given, 'All' is assumed)"]
: H: "False" [Print method-specific help message]
: InputLayout: "1|1|300" [The Layout of the input]
: Layout: "DENSE|64|TANH,DENSE|TANH|64,DENSE|TANH|64,LINEAR" [Layout of the network.]
: ErrorStrategy: "CROSSENTROPY" [Loss function: Mean squared error (regression) or cross entropy (binary classification).]
: WeightInitialization: "XAVIER" [Weight initialization strategy]
: RandomSeed: "0" [Random seed used for weight initialization and batch shuffling]
: Architecture: "CPU" [Which architecture to perform the training on.]
: TrainingStrategy: "LearningRate=1e-3,Momentum=0.0,Repetitions=1,ConvergenceSteps=10,BatchSize=256,TestRepetitions=1,WeightDecay=1e-4,Regularization=None,MaxEpochs=20DropConfig=0.0+0.+0.+0.,Optimizer=ADAM" [Defines the training strategies.]
: - Default:
: VerbosityLevel: "Default" [Verbosity level]
: CreateMVAPdfs: "False" [Create PDFs for classifier outputs (signal and background)]
: IgnoreNegWeightsInTraining: "False" [Events with negative weights are ignored in the training (but are included for testing and performance evaluation)]
: BatchLayout: "0|0|0" [The Layout of the batch]
: ValidationSize: "20%" [Part of the training data to use for validation. Specify as 0.2 or 20% to use a fifth of the data set as validation set. Specify as 100 to use exactly 100 events. (Default: 20%)]
: Will now use the CPU architecture with BLAS and IMT support !
Building recurrent keras model using a LSTM layer
2024-11-30 23:56:21.646747: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-11-30 23:56:21.681937: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-11-30 23:56:21.681983: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-11-30 23:56:21.683128: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-11-30 23:56:21.691390: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-11-30 23:56:22.355459: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
return self._float_to_str(self.smallest_subnormal)
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
return self._float_to_str(self.smallest_subnormal)
/py-venv/ROOT-CI/lib64/python3.9/site-packages/keras/src/engine/training.py:3103: UserWarning: You are saving your model as an HDF5 file via `model.save()`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')`.
saving_api.save_model(
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
reshape (Reshape) (None, 10, 30) 0
lstm (LSTM) (None, 10, 10) 1640
flatten (Flatten) (None, 100) 0
dense (Dense) (None, 64) 6464
dense_1 (Dense) (None, 2) 130
=================================================================
Total params: 8234 (32.16 KB)
Trainable params: 8234 (32.16 KB)
Non-trainable params: 0 (0.00 Byte)
_________________________________________________________________
saved recurrent model model_LSTM.h5
Booking Keras model LSTM
Factory : Booking method: [NON-XML-CHAR-0x1B][1mPyKeras_LSTM[NON-XML-CHAR-0x1B][0m
:
: Setting up tf.keras
: Using TensorFlow version 2
: Use Keras version from TensorFlow : tf.keras
: Applying GPU option: gpu_options.allow_growth=True
: Loading Keras Model
: Loaded model from file: model_LSTM.h5
Factory : Booking method: [NON-XML-CHAR-0x1B][1mBDTG[NON-XML-CHAR-0x1B][0m
:
: the option NegWeightTreatment=InverseBoostNegWeights does not exist for BoostType=Grad
: --> change to new default NegWeightTreatment=Pray
: Rebuilding Dataset dataset
: Building event vectors for type 2 Signal
: Dataset[dataset] : create input formulas for tree sgn
: Using variable vars_time0[0] from array expression vars_time0 of size 30
: Using variable vars_time1[0] from array expression vars_time1 of size 30
: Using variable vars_time2[0] from array expression vars_time2 of size 30
: Using variable vars_time3[0] from array expression vars_time3 of size 30
: Using variable vars_time4[0] from array expression vars_time4 of size 30
: Using variable vars_time5[0] from array expression vars_time5 of size 30
: Using variable vars_time6[0] from array expression vars_time6 of size 30
: Using variable vars_time7[0] from array expression vars_time7 of size 30
: Using variable vars_time8[0] from array expression vars_time8 of size 30
: Using variable vars_time9[0] from array expression vars_time9 of size 30
: Building event vectors for type 2 Background
: Dataset[dataset] : create input formulas for tree bkg
: Using variable vars_time0[0] from array expression vars_time0 of size 30
: Using variable vars_time1[0] from array expression vars_time1 of size 30
: Using variable vars_time2[0] from array expression vars_time2 of size 30
: Using variable vars_time3[0] from array expression vars_time3 of size 30
: Using variable vars_time4[0] from array expression vars_time4 of size 30
: Using variable vars_time5[0] from array expression vars_time5 of size 30
: Using variable vars_time6[0] from array expression vars_time6 of size 30
: Using variable vars_time7[0] from array expression vars_time7 of size 30
: Using variable vars_time8[0] from array expression vars_time8 of size 30
: Using variable vars_time9[0] from array expression vars_time9 of size 30
DataSetFactory : [dataset] : Number of events in input trees
:
:
: Number of training and testing events
: ---------------------------------------------------------------------------
: Signal -- training events : 1600
: Signal -- testing events : 400
: Signal -- training and testing events: 2000
: Background -- training events : 1600
: Background -- testing events : 400
: Background -- training and testing events: 2000
:
Factory : [NON-XML-CHAR-0x1B][1mTrain all methods[NON-XML-CHAR-0x1B][0m
Factory : Train method: TMVA_LSTM for Classification
:
: Start of deep neural network training on CPU using MT, nthreads = 4
:
: ***** Deep Learning Network *****
DEEP NEURAL NETWORK: Depth = 4 Input = ( 10, 1, 30 ) Batch size = 100 Loss function = C
Layer 0 LSTM Layer: (NInput = 30, NState = 10, NTime = 10 ) Output = ( 100 , 10 , 10 )
Layer 1 RESHAPE Layer Input = ( 1 , 10 , 10 ) Output = ( 1 , 100 , 100 )
Layer 2 DENSE Layer: ( Input = 100 , Width = 64 ) Output = ( 1 , 100 , 64 ) Activation Function = Tanh
Layer 3 DENSE Layer: ( Input = 64 , Width = 1 ) Output = ( 1 , 100 , 1 ) Activation Function = Identity
: Using 2560 events for training and 640 for testing
: Compute initial loss on the validation data
: Training phase 1 of 1: Optimizer ADAM (beta1=0.9,beta2=0.999,eps=1e-07) Learning rate = 0.001 regularization 0 minimum error = 0.71292
: --------------------------------------------------------------
: Epoch | Train Err. Val. Err. t(s)/epoch t(s)/Loss nEvents/s Conv. Steps
: --------------------------------------------------------------
: Start epoch iteration ...
: 1 Minimum Test error found - save the configuration
: 1 | 0.701283 0.710061 0.397673 0.0430695 7050.12 0
: 2 Minimum Test error found - save the configuration
: 2 | 0.690734 0.69286 0.402473 0.0431691 6957.89 0
: 3 Minimum Test error found - save the configuration
: 3 | 0.68627 0.685829 0.402569 0.0428241 6949.36 0
: 4 Minimum Test error found - save the configuration
: 4 | 0.679656 0.674531 0.404874 0.0427964 6904.6 0
: 5 Minimum Test error found - save the configuration
: 5 | 0.659431 0.655892 0.402079 0.0426276 6955.05 0
: 6 Minimum Test error found - save the configuration
: 6 | 0.629995 0.61563 0.403209 0.0426046 6932.81 0
: 7 Minimum Test error found - save the configuration
: 7 | 0.588491 0.566064 0.403416 0.0431899 6940.08 0
: 8 Minimum Test error found - save the configuration
: 8 | 0.554696 0.545007 0.403814 0.0428788 6926.45 0
: 9 Minimum Test error found - save the configuration
: 9 | 0.542212 0.54488 0.401888 0.042494 6956.15 0
: 10 Minimum Test error found - save the configuration
: 10 | 0.521397 0.526275 0.404558 0.0430811 6916.08 0
:
: Elapsed time for training with 3200 events: 4.08 sec
: Evaluate deep neural network on CPU using batches with size = 100
:
TMVA_LSTM : [dataset] : Evaluation of TMVA_LSTM on training sample (3200 events)
: Elapsed time for evaluation of 3200 events: 0.225 sec
: Creating xml weight file: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVAClassification_TMVA_LSTM.weights.xml[NON-XML-CHAR-0x1B][0m
: Creating standalone class: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVAClassification_TMVA_LSTM.class.C[NON-XML-CHAR-0x1B][0m
Factory : Training finished
:
Factory : Train method: TMVA_DNN for Classification
:
: Start of deep neural network training on CPU using MT, nthreads = 4
:
: ***** Deep Learning Network *****
DEEP NEURAL NETWORK: Depth = 4 Input = ( 1, 1, 300 ) Batch size = 256 Loss function = C
Layer 0 DENSE Layer: ( Input = 300 , Width = 64 ) Output = ( 1 , 256 , 64 ) Activation Function = Tanh
Layer 1 DENSE Layer: ( Input = 64 , Width = 64 ) Output = ( 1 , 256 , 64 ) Activation Function = Tanh
Layer 2 DENSE Layer: ( Input = 64 , Width = 64 ) Output = ( 1 , 256 , 64 ) Activation Function = Tanh
Layer 3 DENSE Layer: ( Input = 64 , Width = 1 ) Output = ( 1 , 256 , 1 ) Activation Function = Identity
: Using 2560 events for training and 640 for testing
: Compute initial loss on the validation data
: Training phase 1 of 1: Optimizer ADAM (beta1=0.9,beta2=0.999,eps=1e-07) Learning rate = 0.001 regularization 0 minimum error = 0.762805
: --------------------------------------------------------------
: Epoch | Train Err. Val. Err. t(s)/epoch t(s)/Loss nEvents/s Conv. Steps
: --------------------------------------------------------------
: Start epoch iteration ...
: 1 Minimum Test error found - save the configuration
: 1 | 0.740318 0.712853 0.0408116 0.00588249 73291.3 0
: 2 Minimum Test error found - save the configuration
: 2 | 0.688999 0.700494 0.0399014 0.0057874 75042.6 0
: 3 Minimum Test error found - save the configuration
: 3 | 0.690446 0.686385 0.0393316 0.00566893 76048.7 0
: 4 | 0.68767 0.687055 0.0379203 0.00451337 76630.9 1
: 5 | 0.686334 0.691657 0.037813 0.00453644 76930.9 2
: 6 | 0.683663 0.706561 0.0377591 0.00445992 76878.8 3
: 7 | 0.692925 0.688985 0.037814 0.00452804 76909.3 4
: 8 Minimum Test error found - save the configuration
: 8 | 0.699235 0.683821 0.0387756 0.00550437 76943.4 0
: 9 Minimum Test error found - save the configuration
: 9 | 0.687694 0.673185 0.0389648 0.00565524 76854.9 0
: 10 | 0.681061 0.692851 0.0380136 0.00456252 76529.6 1
: 11 | 0.681113 0.693698 0.0380889 0.00457501 76386.3 2
: 12 | 0.681705 0.693426 0.0371368 0.00439507 78187.6 3
: 13 | 0.678819 0.684934 0.0374579 0.00443483 77521.6 4
: 14 | 0.680751 0.690453 0.0374152 0.0045096 77798.3 5
: 15 | 0.671185 0.698738 0.0372119 0.00442319 78075.7 6
: 16 | 0.679157 0.694634 0.0363982 0.00442008 80054.7 7
: 17 | 0.683465 0.699523 0.0362832 0.00408126 79498.4 8
: 18 | 0.674995 0.682927 0.0373203 0.00474727 78592.7 9
: 19 | 0.669844 0.677414 0.036876 0.00439808 78822.7 10
: 20 | 0.667227 0.695776 0.0366029 0.00430804 79269.6 11
:
: Elapsed time for training with 3200 events: 0.77 sec
: Evaluate deep neural network on CPU using batches with size = 256
:
TMVA_DNN : [dataset] : Evaluation of TMVA_DNN on training sample (3200 events)
: Elapsed time for evaluation of 3200 events: 0.0285 sec
: Creating xml weight file: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVAClassification_TMVA_DNN.weights.xml[NON-XML-CHAR-0x1B][0m
: Creating standalone class: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVAClassification_TMVA_DNN.class.C[NON-XML-CHAR-0x1B][0m
Factory : Training finished
:
Factory : Train method: PyKeras_LSTM for Classification
:
:
: [NON-XML-CHAR-0x1B][1m================================================================[NON-XML-CHAR-0x1B][0m
: [NON-XML-CHAR-0x1B][1mH e l p f o r M V A m e t h o d [ PyKeras_LSTM ] :[NON-XML-CHAR-0x1B][0m
:
: Keras is a high-level API for the Theano and Tensorflow packages.
: This method wraps the training and predictions steps of the Keras
: Python package for TMVA, so that dataloading, preprocessing and
: evaluation can be done within the TMVA system. To use this Keras
: interface, you have to generate a model with Keras first. Then,
: this model can be loaded and trained in TMVA.
:
:
: <Suppress this message by specifying "!H" in the booking option>
: [NON-XML-CHAR-0x1B][1m================================================================[NON-XML-CHAR-0x1B][0m
:
: Split TMVA training data in 2560 training events and 640 validation events
: Training Model Summary
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
reshape (Reshape) (None, 10, 30) 0
lstm (LSTM) (None, 10, 10) 1640
flatten (Flatten) (None, 100) 0
dense (Dense) (None, 64) 6464
dense_1 (Dense) (None, 2) 130
============================…FunctionLibraryRuntime::RunSync(tensorflow::FunctionLibraryRuntime::Options const&, unsigned long, absl::lts_20230125::Span<tensorflow::Tensor const>, std::vector<tensorflow::Tensor, std::allocator<tensorflow::Tensor> >*) const + 0x212 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbde4ffbb06 in _ZN10tensorflow19KernelAndDeviceFunc3RunEPNS_19ScopedStepContainerERKNS_15EagerKernelArgsEPSt6vectorISt7variantIJNS_6TensorENS_11TensorShapeEEESaISA_EEPN3tsl19CancellationManagerERKSt8optionalINS_19Ea + 0x156 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbddde3376e in _ZN10tensorflow18EagerKernelExecuteEPNS_12EagerContextERKN4absl12lts_2023012513InlinedVectorIPNS_12TensorHandleELm4ESaIS6_EEERKSt8optionalINS_19EagerFunctionParamsEERKN3tsl4core11RefCountPtrINS_15Kern + 0x22e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbddde3dc30 in tensorflow::ExecuteNode::Run() + 0x1f0 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbde4ff7184 in tensorflow::EagerExecutor::SyncExecute(tensorflow::EagerNode*) + 0xe4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbddde3313a in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbddde30b86 in tensorflow::DoEagerExecute(tensorflow::EagerOperation*, tensorflow::TensorHandle**, int*) + 0x216 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbddde34689 in tensorflow::EagerExecute(tensorflow::EagerOperation*, tensorflow::TensorHandle**, int*) + 0x269 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbddde303a7 in tensorflow::EagerOperation::Execute(absl::lts_20230125::Span<tensorflow::AbstractTensorHandle*>, int*) + 0x87 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbde4ff5793 in tensorflow::CustomDeviceOpHandler::Execute(tensorflow::ImmediateExecutionOperation*, tensorflow::ImmediateExecutionTensorHandle**, int*) + 0x263 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbdee639df5 in TFE_Execute + 0x45 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbdf0980abd in TFE_Py_FastPathExecute_C(_object*) + 0x286d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../_pywrap_tensorflow_internal.so
0x00007fbdc066d724 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/_pywrap_tfe.so
0x00007fbdc064b6df in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/_pywrap_tfe.so
0x00007fbe1a0a3f22 in <unknown> from /lib64/libpython3.9.so.1.0
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0x00007fbe1a080cd9 in <unknown> from /lib64/libpython3.9.so.1.0
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0x00007fbe1a080cd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fbe1a08b46e in _PyObject_FastCallDictTstate + 0x14e from /lib64/libpython3.9.so.1.0
0x00007fbe1a09e6bb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fbe1a08bc2b in _PyObject_MakeTpCall + 0x2bb from /lib64/libpython3.9.so.1.0
0x00007fbe1a087ade in _PyEval_EvalFrameDefault + 0x5dee from /lib64/libpython3.9.so.1.0
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0x00007fbe1a0cd1fb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fbe1a16dbe3 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fbe1a093a18 in PyObject_GetIter + 0x18 from /lib64/libpython3.9.so.1.0
0x00007fbe1a093f20 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fbe1a082147 in _PyEval_EvalFrameDefault + 0x457 from /lib64/libpython3.9.so.1.0
0x00007fbe1a0a8b68 in <unknown> from /lib64/libpython3.9.so.1.0
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0x00007fbe1a093395 in _PyFunction_Vectorcall + 0xe5 from /lib64/libpython3.9.so.1.0
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0x00007fbe1a08559d in _PyEval_EvalFrameDefault + 0x38ad from /lib64/libpython3.9.so.1.0
0x00007fbe1a080cd9 in <unknown> from /lib64/libpython3.9.so.1.0
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0x00007fbe1a080cd9 in <unknown> from /lib64/libpython3.9.so.1.0
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0x00007fbe1a135a77 in PyEval_EvalCode + 0x27 from /lib64/libpython3.9.so.1.0
0x00007fbe1a1634c4 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fbe1a15f5bb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fbe1a156ca8 in PyRun_StringFlags + 0xa8 from /lib64/libpython3.9.so.1.0
0x00007fbdf6e91a5e in TMVA::PyMethodBase::PyRunString(TString, TString, int) at /github/home/ROOT-CI/src/tmva/pymva/src/PyMethodBase.cxx:327 from /github/home/ROOT-CI/build/lib/libPyMVA.so
0x00007fbdf6e378e4 in TMVA::MethodPyKeras::Train() at /github/home/ROOT-CI/src/tmva/pymva/src/MethodPyKeras.cxx:596 (discriminator 5) from /github/home/ROOT-CI/build/lib/libPyMVA.so
0x00007fbdfb49c18d in TMVA::MethodBase::TrainMethod() at /github/home/ROOT-CI/src/tmva/tmva/src/MethodBase.cxx:671 from /github/home/ROOT-CI/build/lib/libTMVA.so
0x00007fbdfb4564c1 in TMVA::Factory::TrainAllMethods() at /github/home/ROOT-CI/src/tmva/tmva/src/Factory.cxx:1174 from /github/home/ROOT-CI/build/lib/libTMVA.so
0x00007fbe198503c3 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy_backend.so
0x00007fbe198506b1 in Cppyy::CallV(long, void*, unsigned long, void*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/cppyy-backend/clingwrapper/src/clingwrapper.cxx:855 from /github/home/ROOT-CI/build/lib/libcppyy_backend.so
0x00007fbdfd576bc5 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fbdfd579011 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy.so
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0x00007fbdfd555232 in CPyCppyy::CPPMethod::Execute(void*, long, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx:953 from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fbdfd555484 in CPyCppyy::CPPMethod::Call(CPyCppyy::CPPInstance*&, _object* const*, unsigned long, _object*, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx:1013 from /github/home/ROOT-CI/build/lib/libcppyy.so
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0x00007fbe1a1284ed in Py_BytesMain + 0x3d from /lib64/libpython3.9.so.1.0
0x00007fbe19d735d0 in <unknown> from /lib64/libc.so.6
0x00007fbe19d73680 in __libc_start_main at :? from /lib64/libc.so.6
0x000055ceabcbb095 in _start + 0x25 from /py-venv/ROOT-CI/bin/python3.9
*** Break *** segmentation violation
Generating stack trace...
0x00007fbe196169ab in <unknown> from /github/home/ROOT-CI/build/lib/libCore.so
0x00007fbe19d88730 in <unknown> from /lib64/libc.so.6
0x00007fbdf1ddc0ad in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf1ddaa19 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf1ddae67 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf1dde69e in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf1c258a4 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf1ddaa2b in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf1ddcf47 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf1ddcdb6 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf1bff09b in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf19e3882 in tensorflow::grappler::MetaOptimizer::RunOptimizer(tensorflow::grappler::GraphOptimizer*, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem*, tensorflow::GraphDef*, tensorflow::grappler::MetaOptimizer::GraphOptimizationResult*) + 0x392 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf19e254a in tensorflow::grappler::MetaOptimizer::OptimizeGraph(std::vector<std::unique_ptr<tensorflow::grappler::GraphOptimizer, std::default_delete<tensorflow::grappler::GraphOptimizer> >, std::allocator<std::unique_ptr<tensorflow::grappler::GraphOptimizer, std::default_delete<tensorflow::grappler::GraphOptimizer> > > > const&, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem&&, tensorflow::GraphDef*) + 0x79a from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf19e69a5 in tensorflow::grappler::MetaOptimizer::OptimizeConsumeItem(tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem&&, tensorflow::GraphDef*) + 0x1745 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf19e7fae in tensorflow::grappler::RunMetaOptimizer(tensorflow::grappler::GrapplerItem&&, tensorflow::ConfigProto const&, tensorflow::DeviceBase*, tensorflow::grappler::Cluster*, tensorflow::GraphDef*) + 0x9e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf19e851f in _ZN10tensorflow8grappler13OptimizeGraphESt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS7_EES9_PNS_25FunctionLibraryDefinitionERKNS_9DeviceSetEPNS_6DeviceERKNS_11ConfigProtoERKS7_RKN + 0x4cf from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf2ced37e in _ZSt13__invoke_implIN4absl12lts_202301256StatusERPFS2_St6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS9_EESB_PN10tensorflow25FunctionLibraryDefinitionERKNSC_9DeviceSetEPNSC_6DeviceER + 0x8e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf2ced22c in _ZNSt17_Function_handlerIFN4absl12lts_202301256StatusESt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS9_EESB_PN10tensorflow25FunctionLibraryDefinitionERKNSC_9DeviceSetEPNSC_6DeviceEP + 0x2c from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf287b146 in _ZN10tensorflow21OptimizeFunctionGraphERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEENS_9AttrSliceERKNS_22FunctionLibraryRuntime18InstantiateOptionsERKNS_9DeviceSetEPKNS_25FunctionLibraryDefin + 0x17f6 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf287bdae in _ZN10tensorflow40OptimizeFunctionGraphOrReadFromFileCacheERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEENS_9AttrSliceERKNS_22FunctionLibraryRuntime18InstantiateOptionsERKNS_9DeviceSetEPKNS_25F + 0x1fe from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf284e160 in tensorflow::ProcessFunctionLibraryRuntime::InstantiateMultiDevice(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x830 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf2853f86 in tensorflow::ProcessFunctionLibraryRuntime::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x46 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf2841848 in tensorflow::FunctionLibraryRuntimeImpl::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x118 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf223bf7c in tensorflow::FunctionHandleCache::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions, unsigned long*) + 0x1ac from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf2ce549d in tensorflow::data::CapturedFunction::Instantiate(tensorflow::data::InstantiateCapturedFunctionParams, std::unique_ptr<tensorflow::data::InstantiatedCapturedFunction, std::default_delete<tensorflow::data::InstantiatedCapturedFunction> >*) + 0x113d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf2ce4348 in tensorflow::data::CapturedFunction::Instantiate(tensorflow::data::IteratorContext*, std::unique_ptr<tensorflow::data::InstantiatedCapturedFunction, std::default_delete<tensorflow::data::InstantiatedCapturedFunction> >*) + 0x38 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbde3984d3f in tensorflow::data::MapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x6f from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbdf220d9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbde5ea9632 in tensorflow::data::PrefetchDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2d2 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbdf220d9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbde397e674 in tensorflow::data::FlatMapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x1b4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbdf220d9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbde3a05e3a in tensorflow::data::ZipDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2da from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbdf220d9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbde4dca506 in tensorflow::data::ParallelMapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x186 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbdf220d9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf220da3d in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0x15d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf220da3d in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0x15d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbde5ea9632 in tensorflow::data::PrefetchDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2d2 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbdf220d9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbde5e30e81 in tensorflow::data::RootDataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x6b1 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbdf220d9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbde5e1fea4 in tensorflow::data::IteratorResource::SetIteratorFromDataset(tensorflow::OpKernelContext*, tensorflow::data::DatasetBase const*) + 0x7a4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbde5e214b0 in tensorflow::data::MakeIteratorOp::DoCompute(tensorflow::OpKernelContext*) + 0xa0 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbde5e213e1 in tensorflow::data::HybridAsyncOpKernel::Compute(tensorflow::OpKernelContext*) + 0x21 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbdf282e540 in tensorflow::ThreadPoolDevice::Compute(tensorflow::OpKernel*, tensorflow::OpKernelContext*) + 0x50 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf28e7b68 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf28460e8 in tensorflow::FunctionLibraryRuntimeImpl::RunSync(tensorflow::FunctionLibraryRuntime::Options, unsigned long, absl::lts_20230125::Span<tensorflow::Tensor const>, std::vector<tensorflow::Tensor, std::allocator<tensorflow::Tensor> >*) + 0x238 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf28507c9 in _ZNK10tensorflow29ProcessFunctionLibraryRuntime18RunMultiDeviceSyncERKNS_22FunctionLibraryRuntime7OptionsEmPSt6vectorISt7variantIJNS_6TensorENS_11TensorShapeEEESaIS9_EESt8functionIFN4absl12lts_2023012 + 0x6f9 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbdf28568b2 in tensorflow::ProcessFunctionLibraryRuntime::RunSync(tensorflow::FunctionLibraryRuntime::Options const&, unsigned long, absl::lts_20230125::Span<tensorflow::Tensor const>, std::vector<tensorflow::Tensor, std::allocator<tensorflow::Tensor> >*) const + 0x212 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fbde4ffbb06 in _ZN10tensorflow19KernelAndDeviceFunc3RunEPNS_19ScopedStepContainerERKNS_15EagerKernelArgsEPSt6vectorISt7variantIJNS_6TensorENS_11TensorShapeEEESaISA_EEPN3tsl19CancellationManagerERKSt8optionalINS_19Ea + 0x156 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbddde3376e in _ZN10tensorflow18EagerKernelExecuteEPNS_12EagerContextERKN4absl12lts_2023012513InlinedVectorIPNS_12TensorHandleELm4ESaIS6_EEERKSt8optionalINS_19EagerFunctionParamsEERKN3tsl4core11RefCountPtrINS_15Kern + 0x22e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbddde3dc30 in tensorflow::ExecuteNode::Run() + 0x1f0 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbde4ff7184 in tensorflow::EagerExecutor::SyncExecute(tensorflow::EagerNode*) + 0xe4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbddde3313a in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbddde30b86 in tensorflow::DoEagerExecute(tensorflow::EagerOperation*, tensorflow::TensorHandle**, int*) + 0x216 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbddde34689 in tensorflow::EagerExecute(tensorflow::EagerOperation*, tensorflow::TensorHandle**, int*) + 0x269 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbddde303a7 in tensorflow::EagerOperation::Execute(absl::lts_20230125::Span<tensorflow::AbstractTensorHandle*>, int*) + 0x87 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbde4ff5793 in tensorflow::CustomDeviceOpHandler::Execute(tensorflow::ImmediateExecutionOperation*, tensorflow::ImmediateExecutionTensorHandle**, int*) + 0x263 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbdee639df5 in TFE_Execute + 0x45 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fbdf0980abd in TFE_Py_FastPathExecute_C(_object*) + 0x286d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../_pywrap_tensorflow_internal.so
0x00007fbdc066d724 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/_pywrap_tfe.so
0x00007fbdc064b6df in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/_pywrap_tfe.so
0x00007fbe1a0a3f22 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fbe1a08bc13 in _PyObject_MakeTpCall + 0x2a3 from /lib64/libpython3.9.so.1.0
0x00007fbe1a087ade in _PyEval_EvalFrameDefault + 0x5dee from /lib64/libpython3.9.so.1.0
0x00007fbe1a080cd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fbe1a093395 in _PyFunction_Vectorcall + 0xe5 from /lib64/libpython3.9.so.1.0
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0x00007fbe1a08244c in _PyEval_EvalFrameDefault + 0x75c from /lib64/libpython3.9.so.1.0
0x00007fbe1a080cd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fbe1a08b46e in _PyObject_FastCallDictTstate + 0x14e from /lib64/libpython3.9.so.1.0
0x00007fbe1a09e6bb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fbe1a08bc2b in _PyObject_MakeTpCall + 0x2bb from /lib64/libpython3.9.so.1.0
0x00007fbe1a087ade in _PyEval_EvalFrameDefault + 0x5dee from /lib64/libpython3.9.so.1.0
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0x00007fbe1a16dbe3 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fbe1a093a18 in PyObject_GetIter + 0x18 from /lib64/libpython3.9.so.1.0
0x00007fbe1a093f20 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fbe1a082147 in _PyEval_EvalFrameDefault + 0x457 from /lib64/libpython3.9.so.1.0
0x00007fbe1a0a8b68 in <unknown> from /lib64/libpython3.9.so.1.0
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0x00007fbe1a080cd9 in <unknown> from /lib64/libpython3.9.so.1.0
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0x00007fbe1a135a77 in PyEval_EvalCode + 0x27 from /lib64/libpython3.9.so.1.0
0x00007fbe1a1634c4 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fbe1a15f5bb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fbe1a156ca8 in PyRun_StringFlags + 0xa8 from /lib64/libpython3.9.so.1.0
0x00007fbdf6e91a5e in TMVA::PyMethodBase::PyRunString(TString, TString, int) at /github/home/ROOT-CI/src/tmva/pymva/src/PyMethodBase.cxx:327 from /github/home/ROOT-CI/build/lib/libPyMVA.so
0x00007fbdf6e378e4 in TMVA::MethodPyKeras::Train() at /github/home/ROOT-CI/src/tmva/pymva/src/MethodPyKeras.cxx:596 (discriminator 5) from /github/home/ROOT-CI/build/lib/libPyMVA.so
0x00007fbdfb49c18d in TMVA::MethodBase::TrainMethod() at /github/home/ROOT-CI/src/tmva/tmva/src/MethodBase.cxx:671 from /github/home/ROOT-CI/build/lib/libTMVA.so
0x00007fbdfb4564c1 in TMVA::Factory::TrainAllMethods() at /github/home/ROOT-CI/src/tmva/tmva/src/Factory.cxx:1174 from /github/home/ROOT-CI/build/lib/libTMVA.so
0x00007fbe198503c3 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy_backend.so
0x00007fbe198506b1 in Cppyy::CallV(long, void*, unsigned long, void*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/cppyy-backend/clingwrapper/src/clingwrapper.cxx:855 from /github/home/ROOT-CI/build/lib/libcppyy_backend.so
0x00007fbdfd576bc5 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fbdfd579011 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fbdfd555b2a in CPyCppyy::CPPMethod::ExecuteFast(void*, long, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx:123 from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fbdfd555232 in CPyCppyy::CPPMethod::Execute(void*, long, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx:953 from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fbdfd555484 in CPyCppyy::CPPMethod::Call(CPyCppyy::CPPInstance*&, _object* const*, unsigned long, _object*, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx:1013 from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fbdfd55ab09 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fbe1a08244c in _PyEval_EvalFrameDefault + 0x75c from /lib64/libpython3.9.so.1.0
0x00007fbe1a080cd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fbe1a080945 in _PyEval_EvalCodeWithName + 0x55 from /lib64/libpython3.9.so.1.0
0x00007fbe1a135a77 in PyEval_EvalCode + 0x27 from /lib64/libpython3.9.so.1.0
0x00007fbe1a1634c4 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fbe1a15f5bb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fbe19fe9ba2 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fbe1a158e09 in PyRun_SimpleFileExFlags + 0x1b9 from /lib64/libpython3.9.so.1.0
0x00007fbe1a1562bf in Py_RunMain + 0x39f from /lib64/libpython3.9.so.1.0
0x00007fbe1a1284ed in Py_BytesMain + 0x3d from /lib64/libpython3.9.so.1.0
0x00007fbe19d735d0 in <unknown> from /lib64/libc.so.6
0x00007fbe19d73680 in __libc_start_main at :? from /lib64/libc.so.6
0x000055ceabcbb095 in _start + 0x25 from /py-venv/ROOT-CI/bin/python3.9
CMake Error at /github/home/ROOT-CI/build/RootTestDriver.cmake:232 (message):
error code: 129
Check warning on line 0 in roottest-root-meta-countIncludePaths
github-actions / Test Results
2 out of 19 runs failed: roottest-root-meta-countIncludePaths (roottest-root-meta-countIncludePaths)
artifacts/Test Results alma9/TestResults.xml [took 0s]
artifacts/Test Results mac-beta ARM64/TestResults.xml [took 0s]
Raw output
-- TEST COMMAND --
cd /github/home/ROOT-CI/build/roottest/root/meta
/usr/bin/timeout -s USR2 270s /github/home/ROOT-CI/build/bin/root.exe -e '#define ClingWorkAroundMissingDynamicScope' -e '#define ClingWorkAroundUnnamedInclude' -e '#define ClingWorkAroundMissingSmartInclude' -e '#define ClingWorkAroundNoDotInclude' -e '#define ClingWorkAroundMissingAutoLoadingForTemplates' -e '#define ClingWorkAroundAutoParseUsingNamespace' -e '#define ClingWorkAroundTClassUpdateDouble32' -e '#define ClingWorkAroundAutoParseDeclaration' -e '#define ClingWorkAroundMissingUnloading' -e '#define ClingWorkAroundBrokenUnnamedReturn' -e '#define ClingWorkAroundUnnamedDetection2' -e 'gSystem->SetBuildDir("/github/home/ROOT-CI/build/roottest/root/meta",true)' -e 'gSystem->AddDynamicPath("/github/home/ROOT-CI/build/roottest/root/meta")' -e 'gROOT->SetMacroPath("/github/home/ROOT-CI/roottest/root/meta")' -e 'gInterpreter->AddIncludePath("-I/github/home/ROOT-CI/build/roottest/root/meta")' -e 'gSystem->AddIncludePath("-I/github/home/ROOT-CI/build/roottest/root/meta")' -q -l -b /github/home/ROOT-CI/roottest/root/meta/countIncludePaths.C
-- BEGIN TEST OUTPUT --
Processing /github/home/ROOT-CI/roottest/root/meta/countIncludePaths.C...
The number of include paths is too high (>9) 13. The number of "-I"s has been counted in the include path of ROOT (gSystem->GetIncludePath()=-I$ROOTSYS/include -I/github/home/ROOT-CI/build/roottest/root/meta -I"/github/home/ROOT-CI/build/etc/" -I"/github/home/ROOT-CI/build/etc//cling" -I"/github/home/ROOT-CI/build/etc//cling/plugins/include" -I"/github/home/ROOT-CI/build/include/" -I"/github/home/ROOT-CI/src/interpreter/cling/include" -I"/github/home/ROOT-CI/src/interpreter/llvm-project/clang/include" -I"/github/home/ROOT-CI/build/interpreter/llvm-project/llvm/tools/clang//include" -I"/github/home/ROOT-CI/src/interpreter/llvm-project/llvm/include" -I"/github/home/ROOT-CI/build/interpreter/llvm-project/llvm/include" -I"/github/home/ROOT-CI/build/include" -I"/github/home/ROOT-CI/build/roottest/root/meta").
(int) 13
-- END TEST OUTPUT --
CMake Error at /github/home/ROOT-CI/build/RootTestDriver.cmake:186 (message):
got exit code 13 but expected 0
Check warning on line 0 in pyunittests-bindings-pyroot-pythonizations-batchgen
github-actions / Test Results
1 out of 12 runs failed: pyunittests-bindings-pyroot-pythonizations-batchgen (pyunittests-bindings-pyroot-pythonizations-batchgen)
artifacts/Test Results alma9/TestResults.xml [took 1m 17s]
Raw output
test01_each_element_is_generated_unshuffled (rbatchgenerator_completeness.RBatchGeneratorMultipleFiles) ... ok
test02_each_element_is_generated_shuffled (rbatchgenerator_completeness.RBatchGeneratorMultipleFiles) ... ok
test03_chunk_input_smaller_than_batch_size (rbatchgenerator_completeness.RBatchGeneratorMultipleFiles)
Checking for the situation when the batch can only be created after ... ok
test04_dropping_remainder (rbatchgenerator_completeness.RBatchGeneratorMultipleFiles) ... ok
test05_more_than_one_file (rbatchgenerator_completeness.RBatchGeneratorMultipleFiles) ... ok
test06_multiple_target_columns (rbatchgenerator_completeness.RBatchGeneratorMultipleFiles) ... ok
test07_multiple_input_columns (rbatchgenerator_completeness.RBatchGeneratorMultipleFiles) ... ok
test08_filtered (rbatchgenerator_completeness.RBatchGeneratorMultipleFiles) ... ok
test09_filtered_last_chunk (rbatchgenerator_completeness.RBatchGeneratorMultipleFiles) ... ok
test10_two_epochs_shuffled (rbatchgenerator_completeness.RBatchGeneratorMultipleFiles) ... ok
test11_number_of_training_and_validation_batches_remainder (rbatchgenerator_completeness.RBatchGeneratorMultipleFiles) ... ok
test12_PyTorch (rbatchgenerator_completeness.RBatchGeneratorMultipleFiles) ... ok
test13_TensorFlow (rbatchgenerator_completeness.RBatchGeneratorMultipleFiles) ... 2024-11-30 23:21:48.713608: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-11-30 23:21:48.753755: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-11-30 23:21:48.753815: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-11-30 23:21:48.755242: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-11-30 23:21:48.764714: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-11-30 23:21:49.541851: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
return self._float_to_str(self.smallest_subnormal)
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
return self._float_to_str(self.smallest_subnormal)
*** Break *** segmentation violation
Generating stack trace...
*** Break *** segmentation violation
Generating stack trace...
0x00007fdf029409ab in <unknown> from /github/home/ROOT-CI/build/lib/libCore.so
0x00007fdf032cc730 in <unknown> from /lib64/libc.so.6
0x00007fdde62a9cda in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fdde630b4dc in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fdde60887d7 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fdde6084c4d in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fdde608610d in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fdde6090062 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fdde608f8e7 in std::_Function_handler<void (), llvm::ThreadPool::createTaskAndFuture(std::function<void ()>)::{lambda()#1}>::_M_invoke(std::_Any_data const&) + 0x17 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fdde6401391 in llvm::ThreadPool::processTasks(llvm::ThreadPoolTaskGroup*) + 0x2b1 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fdde6401fe5 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fdf03317d22 in <unknown> from /lib64/libc.so.6
0x00007fdf0339c034 in clone at :? from /lib64/libc.so.6
*** Break *** segmentation violation
Generating stack trace...
0x00007fdf029409ab in <unknown> from /github/home/ROOT-CI/build/lib/libCore.so
0x00007fdf032cc730 in <unknown> from /lib64/libc.so.6
0x00007fdde62a9cda in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fdde630b4dc in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fdde60887d7 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fdde6084c4d in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fdde608610d in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fdde6090062 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fdde608f8e7 in std::_Function_handler<void (), llvm::ThreadPool::createTaskAndFuture(std::function<void ()>)::{lambda()#1}>::_M_invoke(std::_Any_data const&) + 0x17 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fdde6401391 in llvm::ThreadPool::processTasks(llvm::ThreadPoolTaskGroup*) + 0x2b1 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fdde6401fe5 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fdf03317d22 in <unknown> from /lib64/libc.so.6
0x00007fdf0339c034 in clone at :? from /lib64/libc.so.6
CMake Error at /github/home/ROOT-CI/src/cmake/modules/RootTestDriver.cmake:232 (message):
error code: 129
Check warning on line 0 in PyMVA-Keras-Classification
github-actions / Test Results
1 out of 12 runs failed: PyMVA-Keras-Classification (PyMVA-Keras-Classification)
artifacts/Test Results alma9/TestResults.xml [took 12s]
Raw output
Get test data...
Generate keras model...
2024-11-30 23:23:17.846387: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-11-30 23:23:17.894432: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-11-30 23:23:17.894484: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-11-30 23:23:17.895715: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-11-30 23:23:17.906367: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-11-30 23:23:18.898339: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
/py-venv/ROOT-CI/lib64/python3.9/site-packages/keras/src/engine/training.py:3103: UserWarning: You are saving your model as an HDF5 file via `model.save()`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')`.
saving_api.save_model(
Setup TMVA...
2024-11-30 23:23:21.853950: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-11-30 23:23:21.901206: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-11-30 23:23:21.909035: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-11-30 23:23:21.910195: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-11-30 23:23:21.922971: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-11-30 23:23:22.918783: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
return self._float_to_str(self.smallest_subnormal)
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
return self._float_to_str(self.smallest_subnormal)
Train model...
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense (Dense) (None, 64) 320
dense_1 (Dense) (None, 2) 130
=================================================================
Total params: 450 (1.76 KB)
Trainable params: 450 (1.76 KB)
Non-trainable params: 0 (0.00 Byte)
_________________________________________________________________
*** Break *** segmentation violation
Generating stack trace...
0x00007f2477e4e0ad in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f2477e4ca19 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f2477e4ce67 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f2477e5069e in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f2477c978a4 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f2477e4ca2b in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f2477e4ef47 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f2477e4edb6 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f2477c7109b in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f2477a55882 in tensorflow::grappler::MetaOptimizer::RunOptimizer(tensorflow::grappler::GraphOptimizer*, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem*, tensorflow::GraphDef*, tensorflow::grappler::MetaOptimizer::GraphOptimizationResult*) + 0x392 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f2477a5454a in tensorflow::grappler::MetaOptimizer::OptimizeGraph(std::vector<std::unique_ptr<tensorflow::grappler::GraphOptimizer, std::default_delete<tensorflow::grappler::GraphOptimizer> >, std::allocator<std::unique_ptr<tensorflow::grappler::GraphOptimizer, std::default_delete<tensorflow::grappler::GraphOptimizer> > > > const&, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem&&, tensorflow::GraphDef*) + 0x79a from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f2477a589a5 in tensorflow::grappler::MetaOptimizer::OptimizeConsumeItem(tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem&&, tensorflow::GraphDef*) + 0x1745 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f2477a59fae in tensorflow::grappler::RunMetaOptimizer(tensorflow::grappler::GrapplerItem&&, tensorflow::ConfigProto const&, tensorflow::DeviceBase*, tensorflow::grappler::Cluster*, tensorflow::GraphDef*) + 0x9e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f2477a5a51f in _ZN10tensorflow8grappler13OptimizeGraphESt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS7_EES9_PNS_25FunctionLibraryDefinitionERKNS_9DeviceSetEPNS_6DeviceERKNS_11ConfigProtoERKS7_RKN + 0x4cf from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f2478d5f37e in _ZSt13__invoke_implIN4absl12lts_202301256StatusERPFS2_St6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS9_EESB_PN10tensorflow25FunctionLibraryDefinitionERKNSC_9DeviceSetEPNSC_6DeviceER + 0x8e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f2478d5f22c in _ZNSt17_Function_handlerIFN4absl12lts_202301256StatusESt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS9_EESB_PN10tensorflow25FunctionLibraryDefinitionERKNSC_9DeviceSetEPNSC_6DeviceEP + 0x2c from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f24788ed146 in _ZN10tensorflow21OptimizeFunctionGraphERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEENS_9AttrSliceERKNS_22FunctionLibraryRuntime18InstantiateOptionsERKNS_9DeviceSetEPKNS_25FunctionLibraryDefin + 0x17f6 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f24788eddae in _ZN10tensorflow40OptimizeFunctionGraphOrReadFromFileCacheERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEENS_9AttrSliceERKNS_22FunctionLibraryRuntime18InstantiateOptionsERKNS_9DeviceSetEPKNS_25F + 0x1fe from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f24788c0160 in tensorflow::ProcessFunctionLibraryRuntime::InstantiateMultiDevice(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x830 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f24788c5f86 in tensorflow::ProcessFunctionLibraryRuntime::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x46 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f24788b3848 in tensorflow::FunctionLibraryRuntimeImpl::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x118 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f24782adf7c in tensorflow::FunctionHandleCache::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions, unsigned long*) + 0x1ac from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f2478d5749d in tensorflow::data::CapturedFunction::Instantiate(tensorflow::data::InstantiateCapturedFunctionParams, std::unique_ptr<tensorflow::data::InstantiatedCapturedFunction, std::default_delete<tensorflow::data::InstantiatedCapturedFunction> >*) + 0x113d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f2478d56348 in tensorflow::data::CapturedFunction::Instantiate(tensorflow::data::IteratorContext*, std::unique_ptr<tensorflow::data::InstantiatedCapturedFunction, std::default_delete<tensorflow::data::InstantiatedCapturedFunction> >*) + 0x38 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f24699f6d3f in tensorflow::data::MapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x6f from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f247827f9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f246bf1b632 in tensorflow::data::PrefetchDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2d2 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f247827f9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f24699f0674 in tensorflow::data::FlatMapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x1b4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f247827f9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f2469a77e3a in tensorflow::data::ZipDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2da from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f247827f9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f246ae3c506 in tensorflow::data::ParallelMapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x186 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f247827f9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f247827fa3d in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0x15d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f247827fa3d in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0x15d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f246bf1b632 in tensorflow::data::PrefetchDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2d2 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f247827f9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f246bea2e81 in tensorflow::data::RootDataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x6b1 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f247827f9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f246be91ea4 in tensorflow::data::IteratorResource::SetIteratorFromDataset(tensorflow::OpKernelContext*, tensorflow::data::DatasetBase const*) + 0x7a4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f246be934b0 in tensorflow::data::MakeIteratorOp::DoCompute(tensorflow::OpKernelContext*) + 0xa0 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f246be933e1 in tensorflow::data::HybridAsyncOpKernel::Compute(tensorflow::OpKernelContext*) + 0x21 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f24788a0540 in tensorflow::ThreadPoolDevice::Compute(tensorflow::OpKernel*, tensorflow::OpKernelContext*) + 0x50 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
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0x00007f2463ea576e in _ZN10tensorflow18EagerKernelExecuteEPNS_12EagerContextERKN4absl12lts_2023012513InlinedVectorIPNS_12TensorHandleELm4ESaIS6_EEERKSt8optionalINS_19EagerFunctionParamsEERKN3tsl4core11RefCountPtrINS_15Kern + 0x22e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f2463eafc30 in tensorflow::ExecuteNode::Run() + 0x1f0 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f246b069184 in tensorflow::EagerExecutor::SyncExecute(tensorflow::EagerNode*) + 0xe4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
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0x00007f2463ea2b86 in tensorflow::DoEagerExecute(tensorflow::EagerOperation*, tensorflow::TensorHandle**, int*) + 0x216 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f2463ea6689 in tensorflow::EagerExecute(tensorflow::EagerOperation*, tensorflow::TensorHandle**, int*) + 0x269 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f2463ea23a7 in tensorflow::EagerOperation::Execute(absl::lts_20230125::Span<tensorflow::AbstractTensorHandle*>, int*) + 0x87 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
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0x00007f24746abdf5 in TFE_Execute + 0x45 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
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0x00007f24c1340cd9 in <unknown> from /lib64/libpython3.9.so.1.0
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0x00007f24c13f5a77 in PyEval_EvalCode + 0x27 from /lib64/libpython3.9.so.1.0
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0x00007f24c4e45a5e in TMVA::PyMethodBase::PyRunString(TString, TString, int) at /github/home/ROOT-CI/src/tmva/pymva/src/PyMethodBase.cxx:327 from /github/home/ROOT-CI/build/lib/libPyMVA.so
0x00007f24c4deb8e4 in TMVA::MethodPyKeras::Train() at /github/home/ROOT-CI/src/tmva/pymva/src/MethodPyKeras.cxx:596 (discriminator 5) from /github/home/ROOT-CI/build/lib/libPyMVA.so
0x00007f24c466d18d in TMVA::MethodBase::TrainMethod() at /github/home/ROOT-CI/src/tmva/tmva/src/MethodBase.cxx:671 from /github/home/ROOT-CI/build/lib/libTMVA.so
0x00007f24c46274c1 in TMVA::Factory::TrainAllMethods() at /github/home/ROOT-CI/src/tmva/tmva/src/Factory.cxx:1174 from /github/home/ROOT-CI/build/lib/libTMVA.so
0x0000000000402999 in testPyKerasClassification() at /github/home/ROOT-CI/src/tmva/pymva/test/testPyKerasClassification.C:79 from /github/home/ROOT-CI/build/tmva/pymva/test/testPyKerasClassification
0x0000000000403238 in main at /github/home/ROOT-CI/src/tmva/pymva/test/testPyKerasClassification.C:134 from /github/home/ROOT-CI/build/tmva/pymva/test/testPyKerasClassification
0x00007f24c15f55d0 in <unknown> from /lib64/libc.so.6
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0x0000000000402295 in _start + 0x25 from /github/home/ROOT-CI/build/tmva/pymva/test/testPyKerasClassification
CMake Error at /github/home/ROOT-CI/src/cmake/modules/RootTestDriver.cmake:232 (message):
error code: 139
Check warning on line 0 in PyMVA-Keras-Regression
github-actions / Test Results
1 out of 8 runs failed: PyMVA-Keras-Regression (PyMVA-Keras-Regression)
artifacts/Test Results alma9/TestResults.xml [took 12s]
Raw output
Get test data...
Generate keras model...
2024-11-30 23:23:18.658971: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-11-30 23:23:18.700905: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-11-30 23:23:18.700962: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-11-30 23:23:18.702230: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-11-30 23:23:18.708725: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-11-30 23:23:19.514763: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
/py-venv/ROOT-CI/lib64/python3.9/site-packages/keras/src/engine/training.py:3103: UserWarning: You are saving your model as an HDF5 file via `model.save()`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')`.
saving_api.save_model(
Setup TMVA...
2024-11-30 23:23:22.640399: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-11-30 23:23:22.753454: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-11-30 23:23:22.753534: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-11-30 23:23:22.754668: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-11-30 23:23:22.762716: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-11-30 23:23:23.616206: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
return self._float_to_str(self.smallest_subnormal)
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
return self._float_to_str(self.smallest_subnormal)
Train model...
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense (Dense) (None, 64) 192
dense_1 (Dense) (None, 1) 65
=================================================================
Total params: 257 (1.00 KB)
Trainable params: 257 (1.00 KB)
Non-trainable params: 0 (0.00 Byte)
_________________________________________________________________
*** Break *** segmentation violation
Generating stack trace...
0x00007f4577dbc0ad in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4577dbaa19 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4577dbae67 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4577dbe69e in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4577c058a4 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4577dbaa2b in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4577dbcf47 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4577dbcdb6 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f4577bdf09b in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f45779c3882 in tensorflow::grappler::MetaOptimizer::RunOptimizer(tensorflow::grappler::GraphOptimizer*, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem*, tensorflow::GraphDef*, tensorflow::grappler::MetaOptimizer::GraphOptimizationResult*) + 0x392 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f45779c254a in tensorflow::grappler::MetaOptimizer::OptimizeGraph(std::vector<std::unique_ptr<tensorflow::grappler::GraphOptimizer, std::default_delete<tensorflow::grappler::GraphOptimizer> >, std::allocator<std::unique_ptr<tensorflow::grappler::GraphOptimizer, std::default_delete<tensorflow::grappler::GraphOptimizer> > > > const&, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem&&, tensorflow::GraphDef*) + 0x79a from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f45779c69a5 in tensorflow::grappler::MetaOptimizer::OptimizeConsumeItem(tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem&&, tensorflow::GraphDef*) + 0x1745 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f45779c7fae in tensorflow::grappler::RunMetaOptimizer(tensorflow::grappler::GrapplerItem&&, tensorflow::ConfigProto const&, tensorflow::DeviceBase*, tensorflow::grappler::Cluster*, tensorflow::GraphDef*) + 0x9e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
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0x00007f4578ccd37e in _ZSt13__invoke_implIN4absl12lts_202301256StatusERPFS2_St6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS9_EESB_PN10tensorflow25FunctionLibraryDefinitionERKNSC_9DeviceSetEPNSC_6DeviceER + 0x8e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
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0x00007f456995e674 in tensorflow::data::FlatMapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x1b4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f45781ed9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f45699e5e3a in tensorflow::data::ZipDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2da from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f45781ed9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f456adaa506 in tensorflow::data::ParallelMapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x186 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f45781ed9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f45781eda3d in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0x15d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f45781eda3d in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0x15d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f456be89632 in tensorflow::data::PrefetchDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2d2 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f45781ed9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f456be10e81 in tensorflow::data::RootDataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x6b1 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f45781ed9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f456bdffea4 in tensorflow::data::IteratorResource::SetIteratorFromDataset(tensorflow::OpKernelContext*, tensorflow::data::DatasetBase const*) + 0x7a4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
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0x00007f45c4d598e4 in TMVA::MethodPyKeras::Train() at /github/home/ROOT-CI/src/tmva/pymva/src/MethodPyKeras.cxx:596 (discriminator 5) from /github/home/ROOT-CI/build/lib/libPyMVA.so
0x00007f45c45db18d in TMVA::MethodBase::TrainMethod() at /github/home/ROOT-CI/src/tmva/tmva/src/MethodBase.cxx:671 from /github/home/ROOT-CI/build/lib/libTMVA.so
0x00007f45c45954c1 in TMVA::Factory::TrainAllMethods() at /github/home/ROOT-CI/src/tmva/tmva/src/Factory.cxx:1174 from /github/home/ROOT-CI/build/lib/libTMVA.so
0x0000000000402933 in testPyKerasRegression() at /github/home/ROOT-CI/src/tmva/pymva/test/testPyKerasRegression.C:77 from /github/home/ROOT-CI/build/tmva/pymva/test/testPyKerasRegression
0x0000000000402ede in main at /github/home/ROOT-CI/src/tmva/pymva/test/testPyKerasRegression.C:119 from /github/home/ROOT-CI/build/tmva/pymva/test/testPyKerasRegression
0x00007f45c15635d0 in <unknown> from /lib64/libc.so.6
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0x00000000004022a5 in _start + 0x25 from /github/home/ROOT-CI/build/tmva/pymva/test/testPyKerasRegression
CMake Error at /github/home/ROOT-CI/src/cmake/modules/RootTestDriver.cmake:232 (message):
error code: 139
Check warning on line 0 in PyMVA-Keras-Multiclass
github-actions / Test Results
1 out of 12 runs failed: PyMVA-Keras-Multiclass (PyMVA-Keras-Multiclass)
artifacts/Test Results alma9/TestResults.xml [took 10s]
Raw output
Get test data...
Generate keras model...
2024-11-30 23:23:21.530299: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-11-30 23:23:21.569225: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-11-30 23:23:21.569278: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-11-30 23:23:21.570458: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-11-30 23:23:21.576517: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-11-30 23:23:22.498056: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
/py-venv/ROOT-CI/lib64/python3.9/site-packages/keras/src/engine/training.py:3103: UserWarning: You are saving your model as an HDF5 file via `model.save()`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')`.
saving_api.save_model(
Setup TMVA...
2024-11-30 23:23:25.126472: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-11-30 23:23:25.181950: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-11-30 23:23:25.186535: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-11-30 23:23:25.187679: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-11-30 23:23:25.195460: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-11-30 23:23:25.963850: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
return self._float_to_str(self.smallest_subnormal)
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
return self._float_to_str(self.smallest_subnormal)
Train model...
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense (Dense) (None, 64) 320
dense_1 (Dense) (None, 4) 260
=================================================================
Total params: 580 (2.27 KB)
Trainable params: 580 (2.27 KB)
Non-trainable params: 0 (0.00 Byte)
_________________________________________________________________
*** Break *** segmentation violation
Generating stack trace...
0x00007f71206b80ad in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f71206b6a19 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f71206b6e67 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f71206ba69e in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f71205018a4 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f71206b6a2b in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f71206b8f47 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f71206b8db6 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f71204db09b in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f71202bf882 in tensorflow::grappler::MetaOptimizer::RunOptimizer(tensorflow::grappler::GraphOptimizer*, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem*, tensorflow::GraphDef*, tensorflow::grappler::MetaOptimizer::GraphOptimizationResult*) + 0x392 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f71202be54a in tensorflow::grappler::MetaOptimizer::OptimizeGraph(std::vector<std::unique_ptr<tensorflow::grappler::GraphOptimizer, std::default_delete<tensorflow::grappler::GraphOptimizer> >, std::allocator<std::unique_ptr<tensorflow::grappler::GraphOptimizer, std::default_delete<tensorflow::grappler::GraphOptimizer> > > > const&, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem&&, tensorflow::GraphDef*) + 0x79a from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f71202c29a5 in tensorflow::grappler::MetaOptimizer::OptimizeConsumeItem(tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem&&, tensorflow::GraphDef*) + 0x1745 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f71202c3fae in tensorflow::grappler::RunMetaOptimizer(tensorflow::grappler::GrapplerItem&&, tensorflow::ConfigProto const&, tensorflow::DeviceBase*, tensorflow::grappler::Cluster*, tensorflow::GraphDef*) + 0x9e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f71202c451f in _ZN10tensorflow8grappler13OptimizeGraphESt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS7_EES9_PNS_25FunctionLibraryDefinitionERKNS_9DeviceSetEPNS_6DeviceERKNS_11ConfigProtoERKS7_RKN + 0x4cf from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f71215c937e in _ZSt13__invoke_implIN4absl12lts_202301256StatusERPFS2_St6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS9_EESB_PN10tensorflow25FunctionLibraryDefinitionERKNSC_9DeviceSetEPNSC_6DeviceER + 0x8e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f71215c922c in _ZNSt17_Function_handlerIFN4absl12lts_202301256StatusESt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS9_EESB_PN10tensorflow25FunctionLibraryDefinitionERKNSC_9DeviceSetEPNSC_6DeviceEP + 0x2c from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7121157146 in _ZN10tensorflow21OptimizeFunctionGraphERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEENS_9AttrSliceERKNS_22FunctionLibraryRuntime18InstantiateOptionsERKNS_9DeviceSetEPKNS_25FunctionLibraryDefin + 0x17f6 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7121157dae in _ZN10tensorflow40OptimizeFunctionGraphOrReadFromFileCacheERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEENS_9AttrSliceERKNS_22FunctionLibraryRuntime18InstantiateOptionsERKNS_9DeviceSetEPKNS_25F + 0x1fe from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f712112a160 in tensorflow::ProcessFunctionLibraryRuntime::InstantiateMultiDevice(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x830 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f712112ff86 in tensorflow::ProcessFunctionLibraryRuntime::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x46 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f712111d848 in tensorflow::FunctionLibraryRuntimeImpl::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x118 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7120b17f7c in tensorflow::FunctionHandleCache::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions, unsigned long*) + 0x1ac from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f71215c149d in tensorflow::data::CapturedFunction::Instantiate(tensorflow::data::InstantiateCapturedFunctionParams, std::unique_ptr<tensorflow::data::InstantiatedCapturedFunction, std::default_delete<tensorflow::data::InstantiatedCapturedFunction> >*) + 0x113d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f71215c0348 in tensorflow::data::CapturedFunction::Instantiate(tensorflow::data::IteratorContext*, std::unique_ptr<tensorflow::data::InstantiatedCapturedFunction, std::default_delete<tensorflow::data::InstantiatedCapturedFunction> >*) + 0x38 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7112260d3f in tensorflow::data::MapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x6f from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f7120ae99db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7114785632 in tensorflow::data::PrefetchDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2d2 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f7120ae99db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f711225a674 in tensorflow::data::FlatMapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x1b4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f7120ae99db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f71122e1e3a in tensorflow::data::ZipDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2da from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f7120ae99db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f71136a6506 in tensorflow::data::ParallelMapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x186 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f7120ae99db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7120ae9a3d in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0x15d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7120ae9a3d in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0x15d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f7114785632 in tensorflow::data::PrefetchDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2d2 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f7120ae99db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f711470ce81 in tensorflow::data::RootDataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x6b1 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f7120ae99db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f71146fbea4 in tensorflow::data::IteratorResource::SetIteratorFromDataset(tensorflow::OpKernelContext*, tensorflow::data::DatasetBase const*) + 0x7a4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f71146fd4b0 in tensorflow::data::MakeIteratorOp::DoCompute(tensorflow::OpKernelContext*) + 0xa0 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f71146fd3e1 in tensorflow::data::HybridAsyncOpKernel::Compute(tensorflow::OpKernelContext*) + 0x21 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f712110a540 in tensorflow::ThreadPoolDevice::Compute(tensorflow::OpKernel*, tensorflow::OpKernelContext*) + 0x50 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f71211c3b68 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
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0x00007f71211328b2 in tensorflow::ProcessFunctionLibraryRuntime::RunSync(tensorflow::FunctionLibraryRuntime::Options const&, unsigned long, absl::lts_20230125::Span<tensorflow::Tensor const>, std::vector<tensorflow::Tensor, std::allocator<tensorflow::Tensor> >*) const + 0x212 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
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0x00007f710c719c30 in tensorflow::ExecuteNode::Run() + 0x1f0 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f71138d3184 in tensorflow::EagerExecutor::SyncExecute(tensorflow::EagerNode*) + 0xe4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
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0x00007f710c710689 in tensorflow::EagerExecute(tensorflow::EagerOperation*, tensorflow::TensorHandle**, int*) + 0x269 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f710c70c3a7 in tensorflow::EagerOperation::Execute(absl::lts_20230125::Span<tensorflow::AbstractTensorHandle*>, int*) + 0x87 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f71138d1793 in tensorflow::CustomDeviceOpHandler::Execute(tensorflow::ImmediateExecutionOperation*, tensorflow::ImmediateExecutionTensorHandle**, int*) + 0x263 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
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0x00007f716d6558e4 in TMVA::MethodPyKeras::Train() at /github/home/ROOT-CI/src/tmva/pymva/src/MethodPyKeras.cxx:596 (discriminator 5) from /github/home/ROOT-CI/build/lib/libPyMVA.so
0x00007f716ced718d in TMVA::MethodBase::TrainMethod() at /github/home/ROOT-CI/src/tmva/tmva/src/MethodBase.cxx:671 from /github/home/ROOT-CI/build/lib/libTMVA.so
0x00007f716ce914c1 in TMVA::Factory::TrainAllMethods() at /github/home/ROOT-CI/src/tmva/tmva/src/Factory.cxx:1174 from /github/home/ROOT-CI/build/lib/libTMVA.so
0x0000000000402c95 in testPyKerasMulticlass() at /github/home/ROOT-CI/src/tmva/pymva/test/testPyKerasMulticlass.C:85 from /github/home/ROOT-CI/build/tmva/pymva/test/testPyKerasMulticlass
0x0000000000403a27 in main at /github/home/ROOT-CI/src/tmva/pymva/test/testPyKerasMulticlass.C:166 from /github/home/ROOT-CI/build/tmva/pymva/test/testPyKerasMulticlass
0x00007f7169e5f5d0 in <unknown> from /lib64/libc.so.6
0x00007f7169e5f680 in __libc_start_main at :? from /lib64/libc.so.6
0x00000000004022d5 in _start + 0x25 from /github/home/ROOT-CI/build/tmva/pymva/test/testPyKerasMulticlass
CMake Error at /github/home/ROOT-CI/src/cmake/modules/RootTestDriver.cmake:232 (message):
error code: 139
Check warning on line 0 in gtest-tmva-pymva-TestRModelParserKeras
github-actions / Test Results
1 out of 12 runs failed: gtest-tmva-pymva-TestRModelParserKeras (gtest-tmva-pymva-TestRModelParserKeras)
artifacts/Test Results mac-beta ARM64/TestResults.xml [took 25m 0s]
Raw output
Timeout
Running main() from /Users/sftnight/ROOT-CI/build/googletest-prefix/src/googletest/googletest/src/gtest_main.cc
[==========] Running 11 tests from 2 test suites.
[----------] Global test environment set-up.
[----------] 10 tests from RModelParser_Keras
[ RUN ] RModelParser_Keras.SEQUENTIAL
generating Keras models for testing.....
WARNING:absl:At this time, the v2.11+ optimizer `tf.keras.optimizers.SGD` runs slowly on M1/M2 Macs, please use the legacy Keras optimizer instead, located at `tf.keras.optimizers.legacy.SGD`.
/Users/sftnight/Library/Python/3.9/lib/python/site-packages/keras/src/engine/training.py:3103: UserWarning: You are saving your model as an HDF5 file via `model.save()`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')`.
saving_api.save_model(
WARNING:absl:At this time, the v2.11+ optimizer `tf.keras.optimizers.SGD` runs slowly on M1/M2 Macs, please use the legacy Keras optimizer instead, located at `tf.keras.optimizers.legacy.SGD`.
WARNING:absl:At this time, the v2.11+ optimizer `tf.keras.optimizers.SGD` runs slowly on M1/M2 Macs, please use the legacy Keras optimizer instead, located at `tf.keras.optimizers.legacy.SGD`.
WARNING:absl:At this time, the v2.11+ optimizer `tf.keras.optimizers.SGD` runs slowly on M1/M2 Macs, please use the legacy Keras optimizer instead, located at `tf.keras.optimizers.legacy.SGD`.
WARNING:absl:At this time, the v2.11+ optimizer `tf.keras.optimizers.SGD` runs slowly on M1/M2 Macs, please use the legacy Keras optimizer instead, located at `tf.keras.optimizers.legacy.SGD`.
WARNING:absl:At this time, the v2.11+ optimizer `tf.keras.optimizers.SGD` runs slowly on M1/M2 Macs, please use the legacy Keras optimizer instead, located at `tf.keras.optimizers.legacy.SGD`.
WARNING:absl:At this time, the v2.11+ optimizer `tf.keras.optimizers.SGD` runs slowly on M1/M2 Macs, please use the legacy Keras optimizer instead, located at `tf.keras.optimizers.legacy.SGD`.
WARNING:absl:At this time, the v2.11+ optimizer `tf.keras.optimizers.SGD` runs slowly on M1/M2 Macs, please use the legacy Keras optimizer instead, located at `tf.keras.optimizers.legacy.SGD`.
WARNING:absl:At this time, the v2.11+ optimizer `tf.keras.optimizers.SGD` runs slowly on M1/M2 Macs, please use the legacy Keras optimizer instead, located at `tf.keras.optimizers.legacy.SGD`.
/Users/sftnight/Library/Python/3.9/lib/python/site-packages/tensorflow/python/util/dispatch.py:1260: SyntaxWarning: In loss categorical_crossentropy, expected y_pred.shape to be (batch_size, num_classes) with num_classes > 1. Received: y_pred.shape=(1, 1). Consider using 'binary_crossentropy' if you only have 2 classes.
return dispatch_target(*args, **kwargs)
WARNING:absl:At this time, the v2.11+ optimizer `tf.keras.optimizers.SGD` runs slowly on M1/M2 Macs, please use the legacy Keras optimizer instead, located at `tf.keras.optimizers.legacy.SGD`.
/Users/sftnight/ROOT-CI/src/core/testsupport/src/TestSupport.cxx:79: Failure
Failed
Received unexpected diagnostic of severity 4000 at 'TUnixSystem::DispatchSignals' reading 'segmentation violation'.
Suppress those using ROOT/TestSupport.hxx
Check warning on line 0 in tutorial-tmva-TMVA_SOFIE_Keras_HiggsModel
github-actions / Test Results
1 out of 12 runs failed: tutorial-tmva-TMVA_SOFIE_Keras_HiggsModel (tutorial-tmva-TMVA_SOFIE_Keras_HiggsModel)
artifacts/Test Results alma9/TestResults.xml [took 0s]
Raw output
Error regular expression found in output. Regex=[Error in <]
Processing /github/home/ROOT-CI/src/tutorials/tmva/TMVA_SOFIE_Keras_HiggsModel.C...
Error in <TMVA_SOFIE_RDataFrame>: You need to run TMVA_Higgs_Classification.C to generate the Keras trained model
Check warning on line 0 in tutorial-tmva-TMVA_SOFIE_RDataFrame
github-actions / Test Results
1 out of 12 runs failed: tutorial-tmva-TMVA_SOFIE_RDataFrame (tutorial-tmva-TMVA_SOFIE_RDataFrame)
artifacts/Test Results alma9/TestResults.xml [took 0s]
Raw output
Processing /github/home/ROOT-CI/src/tutorials/tmva/TMVA_SOFIE_RDataFrame.C...
In file included from input_line_10:1:
/github/home/ROOT-CI/src/tutorials/tmva/TMVA_SOFIE_RDataFrame.C:29:10: fatal error: 'Higgs_trained_model.hxx' file not found
#include "Higgs_trained_model.hxx"
^~~~~~~~~~~~~~~~~~~~~~~~~
CMake Error at /github/home/ROOT-CI/build/RootTestDriver.cmake:232 (message):
error code: 1
Check warning on line 0 in tutorial-tmva-TMVA_SOFIE_RSofieReader
github-actions / Test Results
1 out of 12 runs failed: tutorial-tmva-TMVA_SOFIE_RSofieReader (tutorial-tmva-TMVA_SOFIE_RSofieReader)
artifacts/Test Results alma9/TestResults.xml [took 8s]
Raw output
Processing /github/home/ROOT-CI/src/tutorials/tmva/TMVA_SOFIE_RSofieReader.C...
terminate called after throwing an instance of 'std::runtime_error'
what(): Model file Higgs_trained_model.h5 not found!
CMake Error at /github/home/ROOT-CI/build/RootTestDriver.cmake:232 (message):
error code: Subprocess aborted
Check warning on line 0 in tutorial-tmva-RBatchGenerator_TensorFlow-py
github-actions / Test Results
2 out of 12 runs failed: tutorial-tmva-RBatchGenerator_TensorFlow-py (tutorial-tmva-RBatchGenerator_TensorFlow-py)
artifacts/Test Results alma9/TestResults.xml [took 13s]
artifacts/Test Results mac-beta ARM64/TestResults.xml [took 25m 0s]
Raw output
Error regular expression found in output. Regex=[segmentation violation]
2024-11-30 23:33:16.573063: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-11-30 23:33:16.609068: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-11-30 23:33:16.609199: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-11-30 23:33:16.610405: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-11-30 23:33:16.616411: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-11-30 23:33:17.312598: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
*** Break *** segmentation violation
Generating stack trace...
0x00007f0f7fe689ab in <unknown> from /github/home/ROOT-CI/build/lib/libCore.so
0x00007f0fc4a2a730 in <unknown> from /lib64/libc.so.6
0x00007f0fb7a3f202 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f0fb769dfe4 in _ZN4llvm21find_singleton_nestedINS_10BasicBlockENS_14iterator_rangeINS_12SuccIteratorINS_11InstructionES1_EEEEZNS_18getExitBlockHelperIS1_NS_4LoopEEESt4pairIPT_bEPKNS_8LoopBaseISA_T0_EEbEUlPS1_bE_EESC + 0x74 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f0f7c3ae825 in std::pair<llvm::BasicBlock*, bool> llvm::getExitBlockHelper<llvm::BasicBlock, llvm::Loop>(llvm::LoopBase<llvm::BasicBlock, llvm::Loop> const*, bool) + 0xf5 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f7c3ae90e in llvm::LoopBase<llvm::BasicBlock, llvm::Loop>::getUniqueExitBlock() const + 0xe from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f7bc45eef in llvm::LoopDeletionPass::run(llvm::Loop&, llvm::AnalysisManager<llvm::Loop, llvm::LoopStandardAnalysisResults&>&, llvm::LoopStandardAnalysisResults&, llvm::LPMUpdater&) + 0x42f from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f79b89eae in <unknown> from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f7bc9913e in <unknown> from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f7bc9a520 in llvm::PassManager<llvm::Loop, llvm::AnalysisManager<llvm::Loop, llvm::LoopStandardAnalysisResults&>, llvm::LoopStandardAnalysisResults&, llvm::LPMUpdater&>::runWithoutLoopNestPasses(llvm::Loop&, llvm::AnalysisManager<llvm::Loop, llvm::LoopStandardAnalysisResults&>&, llvm::LoopStandardAnalysisResults&, llvm::LPMUpdater&) at LoopPassManager.cpp:? from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f7bc9a6a9 in llvm::PassManager<llvm::Loop, llvm::AnalysisManager<llvm::Loop, llvm::LoopStandardAnalysisResults&>, llvm::LoopStandardAnalysisResults&, llvm::LPMUpdater&>::run(llvm::Loop&, llvm::AnalysisManager<llvm::Loop, llvm::LoopStandardAnalysisResults&>&, llvm::LoopStandardAnalysisResults&, llvm::LPMUpdater&) at LoopPassManager.cpp:? from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f7bc9c15d in llvm::FunctionToLoopPassAdaptor::run(llvm::Function&, llvm::AnalysisManager<llvm::Function>&) + 0x189d from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f79b8879e in <unknown> from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f7833b57a in <unknown> from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f7cb3b49c in llvm::ModuleToFunctionPassAdaptor::run(llvm::Module&, llvm::AnalysisManager<llvm::Module>&) + 0x21c from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f7832c1de in <unknown> from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f77f90a05 in cling::BackendPasses::runOnModule(llvm::Module&, int) + 0x3a5 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f77f49ea9 in cling::IncrementalExecutor::runStaticInitializersOnce(cling::Transaction&) + 0x49 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f77ed4c38 in cling::Interpreter::executeTransaction(cling::Transaction&) + 0x28 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f77f590fb in cling::IncrementalParser::commitTransaction(llvm::PointerIntPair<cling::Transaction*, 2u, cling::IncrementalParser::EParseResult, llvm::PointerLikeTypeTraits<cling::Transaction*>, llvm::PointerIntPairInfo<cling::Transaction*, 2u, llvm::PointerLikeTypeTraits<cling::Transaction*> > >&, bool) at IncrementalParser.cpp:? from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f77f5b7d9 in cling::IncrementalParser::Compile(llvm::StringRef, cling::CompilationOptions const&) + 0x59 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f77ed29a3 in cling::Interpreter::declare(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, cling::Transaction**) at Interpreter.cpp:? from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f77ed3a67 in cling::Interpreter::DeclareCFunction(llvm::StringRef, llvm::StringRef, bool, cling::Transaction*&) at Interpreter.cpp:? from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f77ed3c83 in cling::Interpreter::compileFunction(llvm::StringRef, llvm::StringRef, bool, bool) at Interpreter.cpp:? from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f77e52717 in TClingCallFunc::compile_wrapper(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, bool) at /github/home/ROOT-CI/src/core/metacling/src/TClingCallFunc.cxx:142 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f77e55b6e in TClingCallFunc::make_wrapper() at /github/home/ROOT-CI/src/core/metacling/src/TClingCallFunc.cxx:1061 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f77e59090 in TClingCallFunc::IFacePtr() at /github/home/ROOT-CI/src/core/metacling/src/TClingCallFunc.cxx:1782 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f77cb3ac3 in TCling::CallFunc_IFacePtr(CallFunc_t*) const at /github/home/ROOT-CI/src/core/metacling/src/TCling.cxx:7974 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f800a20f8 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy_backend.so
0x00007f0f800a2325 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy_backend.so
0x00007f0f800a29f3 in Cppyy::CallConstructor(long, unsigned long, unsigned long, void*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/cppyy-backend/clingwrapper/src/clingwrapper.cxx:897 from /github/home/ROOT-CI/build/lib/libcppyy_backend.so
0x00007f0f645da583 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007f0f645dd59b in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007f0f645b8b2a in CPyCppyy::CPPMethod::ExecuteFast(void*, long, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx:123 from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007f0f645b8232 in CPyCppyy::CPPMethod::Execute(void*, long, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx:953 from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007f0f645a8158 in CPyCppyy::CPPConstructor::Call(CPyCppyy::CPPInstance*&, _object* const*, unsigned long, _object*, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPConstructor.cxx:133 from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007f0f645bdfae in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007f0fc4d2d5ef in _PyObject_FastCallDictTstate + 0x2cf from /lib64/libpython3.9.so.1.0
0x00007f0fc4d406bb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f0fc4d2dc2b in _PyObject_MakeTpCall + 0x2bb from /lib64/libpython3.9.so.1.0
0x00007f0fc4d29ade in _PyEval_EvalFrameDefault + 0x5dee from /lib64/libpython3.9.so.1.0
0x00007f0fc4d22cd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f0fc4d22945 in _PyEval_EvalCodeWithName + 0x55 from /lib64/libpython3.9.so.1.0
0x00007f0fc4dd7a77 in PyEval_EvalCode + 0x27 from /lib64/libpython3.9.so.1.0
0x00007f0fc4e054c4 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f0fc4e015bb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f0fc4c8bba2 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f0fc4dfae09 in PyRun_SimpleFileExFlags + 0x1b9 from /lib64/libpython3.9.so.1.0
0x00007f0fc4df82bf in Py_RunMain + 0x39f from /lib64/libpython3.9.so.1.0
0x00007f0fc4dca4ed in Py_BytesMain + 0x3d from /lib64/libpython3.9.so.1.0
0x00007f0fc4a155d0 in <unknown> from /lib64/libc.so.6
0x00007f0fc4a15680 in __libc_start_main at :? from /lib64/libc.so.6
0x0000558a68a6b095 in _start + 0x25 from /py-venv/ROOT-CI/bin/python3.9
*** Break *** segmentation violation
Generating stack trace...
0x00007f0f7fe689ab in <unknown> from /github/home/ROOT-CI/build/lib/libCore.so
0x00007f0fc4a2a730 in <unknown> from /lib64/libc.so.6
0x00007f0fb7a3f202 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f0fb769dfe4 in _ZN4llvm21find_singleton_nestedINS_10BasicBlockENS_14iterator_rangeINS_12SuccIteratorINS_11InstructionES1_EEEEZNS_18getExitBlockHelperIS1_NS_4LoopEEESt4pairIPT_bEPKNS_8LoopBaseISA_T0_EEbEUlPS1_bE_EESC + 0x74 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f0f7c3ae825 in std::pair<llvm::BasicBlock*, bool> llvm::getExitBlockHelper<llvm::BasicBlock, llvm::Loop>(llvm::LoopBase<llvm::BasicBlock, llvm::Loop> const*, bool) + 0xf5 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f7c3ae90e in llvm::LoopBase<llvm::BasicBlock, llvm::Loop>::getUniqueExitBlock() const + 0xe from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f7bc45eef in llvm::LoopDeletionPass::run(llvm::Loop&, llvm::AnalysisManager<llvm::Loop, llvm::LoopStandardAnalysisResults&>&, llvm::LoopStandardAnalysisResults&, llvm::LPMUpdater&) + 0x42f from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f79b89eae in <unknown> from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f7bc9913e in <unknown> from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f7bc9a520 in llvm::PassManager<llvm::Loop, llvm::AnalysisManager<llvm::Loop, llvm::LoopStandardAnalysisResults&>, llvm::LoopStandardAnalysisResults&, llvm::LPMUpdater&>::runWithoutLoopNestPasses(llvm::Loop&, llvm::AnalysisManager<llvm::Loop, llvm::LoopStandardAnalysisResults&>&, llvm::LoopStandardAnalysisResults&, llvm::LPMUpdater&) at LoopPassManager.cpp:? from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f7bc9a6a9 in llvm::PassManager<llvm::Loop, llvm::AnalysisManager<llvm::Loop, llvm::LoopStandardAnalysisResults&>, llvm::LoopStandardAnalysisResults&, llvm::LPMUpdater&>::run(llvm::Loop&, llvm::AnalysisManager<llvm::Loop, llvm::LoopStandardAnalysisResults&>&, llvm::LoopStandardAnalysisResults&, llvm::LPMUpdater&) at LoopPassManager.cpp:? from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f7bc9c15d in llvm::FunctionToLoopPassAdaptor::run(llvm::Function&, llvm::AnalysisManager<llvm::Function>&) + 0x189d from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f79b8879e in <unknown> from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f7833b57a in <unknown> from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f7cb3b49c in llvm::ModuleToFunctionPassAdaptor::run(llvm::Module&, llvm::AnalysisManager<llvm::Module>&) + 0x21c from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f7832c1de in <unknown> from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f77f90a05 in cling::BackendPasses::runOnModule(llvm::Module&, int) + 0x3a5 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f77f49ea9 in cling::IncrementalExecutor::runStaticInitializersOnce(cling::Transaction&) + 0x49 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f77ed4c38 in cling::Interpreter::executeTransaction(cling::Transaction&) + 0x28 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f77f590fb in cling::IncrementalParser::commitTransaction(llvm::PointerIntPair<cling::Transaction*, 2u, cling::IncrementalParser::EParseResult, llvm::PointerLikeTypeTraits<cling::Transaction*>, llvm::PointerIntPairInfo<cling::Transaction*, 2u, llvm::PointerLikeTypeTraits<cling::Transaction*> > >&, bool) at IncrementalParser.cpp:? from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f77f5b7d9 in cling::IncrementalParser::Compile(llvm::StringRef, cling::CompilationOptions const&) + 0x59 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f77ed29a3 in cling::Interpreter::declare(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, cling::Transaction**) at Interpreter.cpp:? from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f77ed3a67 in cling::Interpreter::DeclareCFunction(llvm::StringRef, llvm::StringRef, bool, cling::Transaction*&) at Interpreter.cpp:? from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f77ed3c83 in cling::Interpreter::compileFunction(llvm::StringRef, llvm::StringRef, bool, bool) at Interpreter.cpp:? from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f77e52717 in TClingCallFunc::compile_wrapper(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, bool) at /github/home/ROOT-CI/src/core/metacling/src/TClingCallFunc.cxx:142 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f77e55b6e in TClingCallFunc::make_wrapper() at /github/home/ROOT-CI/src/core/metacling/src/TClingCallFunc.cxx:1061 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f77e59090 in TClingCallFunc::IFacePtr() at /github/home/ROOT-CI/src/core/metacling/src/TClingCallFunc.cxx:1782 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f77cb3ac3 in TCling::CallFunc_IFacePtr(CallFunc_t*) const at /github/home/ROOT-CI/src/core/metacling/src/TCling.cxx:7974 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f0f800a20f8 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy_backend.so
0x00007f0f800a2325 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy_backend.so
0x00007f0f800a29f3 in Cppyy::CallConstructor(long, unsigned long, unsigned long, void*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/cppyy-backend/clingwrapper/src/clingwrapper.cxx:897 from /github/home/ROOT-CI/build/lib/libcppyy_backend.so
0x00007f0f645da583 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007f0f645dd59b in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007f0f645b8b2a in CPyCppyy::CPPMethod::ExecuteFast(void*, long, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx:123 from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007f0f645b8232 in CPyCppyy::CPPMethod::Execute(void*, long, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx:953 from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007f0f645a8158 in CPyCppyy::CPPConstructor::Call(CPyCppyy::CPPInstance*&, _object* const*, unsigned long, _object*, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPConstructor.cxx:133 from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007f0f645bdfae in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007f0fc4d2d5ef in _PyObject_FastCallDictTstate + 0x2cf from /lib64/libpython3.9.so.1.0
0x00007f0fc4d406bb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f0fc4d2dc2b in _PyObject_MakeTpCall + 0x2bb from /lib64/libpython3.9.so.1.0
0x00007f0fc4d29ade in _PyEval_EvalFrameDefault + 0x5dee from /lib64/libpython3.9.so.1.0
0x00007f0fc4d22cd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f0fc4d22945 in _PyEval_EvalCodeWithName + 0x55 from /lib64/libpython3.9.so.1.0
0x00007f0fc4dd7a77 in PyEval_EvalCode + 0x27 from /lib64/libpython3.9.so.1.0
0x00007f0fc4e054c4 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f0fc4e015bb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f0fc4c8bba2 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f0fc4dfae09 in PyRun_SimpleFileExFlags + 0x1b9 from /lib64/libpython3.9.so.1.0
0x00007f0fc4df82bf in Py_RunMain + 0x39f from /lib64/libpython3.9.so.1.0
0x00007f0fc4dca4ed in Py_BytesMain + 0x3d from /lib64/libpython3.9.so.1.0
0x00007f0fc4a155d0 in <unknown> from /lib64/libc.so.6
0x00007f0fc4a15680 in __libc_start_main at :? from /lib64/libc.so.6
0x0000558a68a6b095 in _start + 0x25 from /py-venv/ROOT-CI/bin/python3.9
CMake Error at /github/home/ROOT-CI/build/RootTestDriver.cmake:232 (message):
error code: 129
Check warning on line 0 in tutorial-tmva-TMVA_SOFIE_Models-py
github-actions / Test Results
1 out of 12 runs failed: tutorial-tmva-TMVA_SOFIE_Models-py (tutorial-tmva-TMVA_SOFIE_Models-py)
artifacts/Test Results alma9/TestResults.xml [took 21s]
Raw output
2024-11-30 23:33:25.487114: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-11-30 23:33:25.522750: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-11-30 23:33:25.522802: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-11-30 23:33:25.523905: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-11-30 23:33:25.532092: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-11-30 23:33:26.244596: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
return self._float_to_str(self.smallest_subnormal)
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
return self._float_to_str(self.smallest_subnormal)
size of data 10000
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense (Dense) (None, 64) 512
dense_1 (Dense) (None, 64) 4160
dense_2 (Dense) (None, 64) 4160
dense_3 (Dense) (None, 64) 4160
dense_4 (Dense) (None, 1) 65
=================================================================
Total params: 13057 (51.00 KB)
Trainable params: 13057 (51.00 KB)
Non-trainable params: 0 (0.00 Byte)
_________________________________________________________________
LLVM ERROR: out of memory
Allocation failed
*** Break *** abort
Generating stack trace...
0x00007f03e53239ab in <unknown> from /github/home/ROOT-CI/build/lib/libCore.so
0x00007f03e5a95730 in <unknown> from /lib64/libc.so.6
0x00007f03e5ae2a6c in <unknown> from /lib64/libc.so.6
0x00007f03e5a95686 in raise at :? from /lib64/libc.so.6
0x00007f03e5a7f833 in abort at :? from /lib64/libc.so.6
0x00007f03e1e9b291 in <unknown> from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f03e1ee8dd9 in llvm::SmallVectorBase<unsigned int>::mallocForGrow(void*, unsigned long, unsigned long, unsigned long&) + 0xb9 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f03be246c43 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03be2438ac in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03be242a19 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03be242e67 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03be24669e in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03be08d8a4 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03be242a2b in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03be244f47 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03be244db6 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03be06709b in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03bde4b882 in tensorflow::grappler::MetaOptimizer::RunOptimizer(tensorflow::grappler::GraphOptimizer*, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem*, tensorflow::GraphDef*, tensorflow::grappler::MetaOptimizer::GraphOptimizationResult*) + 0x392 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03bde4a54a in tensorflow::grappler::MetaOptimizer::OptimizeGraph(std::vector<std::unique_ptr<tensorflow::grappler::GraphOptimizer, std::default_delete<tensorflow::grappler::GraphOptimizer> >, std::allocator<std::unique_ptr<tensorflow::grappler::GraphOptimizer, std::default_delete<tensorflow::grappler::GraphOptimizer> > > > const&, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem&&, tensorflow::GraphDef*) + 0x79a from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03bde4e9a5 in tensorflow::grappler::MetaOptimizer::OptimizeConsumeItem(tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem&&, tensorflow::GraphDef*) + 0x1745 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03bde4ffae in tensorflow::grappler::RunMetaOptimizer(tensorflow::grappler::GrapplerItem&&, tensorflow::ConfigProto const&, tensorflow::DeviceBase*, tensorflow::grappler::Cluster*, tensorflow::GraphDef*) + 0x9e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03bde5051f in _ZN10tensorflow8grappler13OptimizeGraphESt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS7_EES9_PNS_25FunctionLibraryDefinitionERKNS_9DeviceSetEPNS_6DeviceERKNS_11ConfigProtoERKS7_RKN + 0x4cf from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03bf15537e in _ZSt13__invoke_implIN4absl12lts_202301256StatusERPFS2_St6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS9_EESB_PN10tensorflow25FunctionLibraryDefinitionERKNSC_9DeviceSetEPNSC_6DeviceER + 0x8e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03bf15522c in _ZNSt17_Function_handlerIFN4absl12lts_202301256StatusESt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS9_EESB_PN10tensorflow25FunctionLibraryDefinitionERKNSC_9DeviceSetEPNSC_6DeviceEP + 0x2c from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03bece3146 in _ZN10tensorflow21OptimizeFunctionGraphERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEENS_9AttrSliceERKNS_22FunctionLibraryRuntime18InstantiateOptionsERKNS_9DeviceSetEPKNS_25FunctionLibraryDefin + 0x17f6 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03bece3dae in _ZN10tensorflow40OptimizeFunctionGraphOrReadFromFileCacheERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEENS_9AttrSliceERKNS_22FunctionLibraryRuntime18InstantiateOptionsERKNS_9DeviceSetEPKNS_25F + 0x1fe from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03becb6160 in tensorflow::ProcessFunctionLibraryRuntime::InstantiateMultiDevice(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x830 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03becbbf86 in tensorflow::ProcessFunctionLibraryRuntime::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x46 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03beca9848 in tensorflow::FunctionLibraryRuntimeImpl::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x118 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03be6a3f7c in tensorflow::FunctionHandleCache::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions, unsigned long*) + 0x1ac from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03bf14d49d in tensorflow::data::CapturedFunction::Instantiate(tensorflow::data::InstantiateCapturedFunctionParams, std::unique_ptr<tensorflow::data::InstantiatedCapturedFunction, std::default_delete<tensorflow::data::InstantiatedCapturedFunction> >*) + 0x113d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03bf14c348 in tensorflow::data::CapturedFunction::Instantiate(tensorflow::data::IteratorContext*, std::unique_ptr<tensorflow::data::InstantiatedCapturedFunction, std::default_delete<tensorflow::data::InstantiatedCapturedFunction> >*) + 0x38 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03afdecd3f in tensorflow::data::MapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x6f from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03be6759db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03b2311632 in tensorflow::data::PrefetchDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2d2 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03be6759db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03afde6674 in tensorflow::data::FlatMapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x1b4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03be6759db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03afe6de3a in tensorflow::data::ZipDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2da from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03be6759db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03b1232506 in tensorflow::data::ParallelMapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x186 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03be6759db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03be675a3d in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0x15d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03be675a3d in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0x15d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03b2311632 in tensorflow::data::PrefetchDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2d2 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03be6759db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03b2298e81 in tensorflow::data::RootDataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x6b1 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03be6759db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03b2287ea4 in tensorflow::data::IteratorResource::SetIteratorFromDataset(tensorflow::OpKernelContext*, tensorflow::data::DatasetBase const*) + 0x7a4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03b22894b0 in tensorflow::data::MakeIteratorOp::DoCompute(tensorflow::OpKernelContext*) + 0xa0 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03b22893e1 in tensorflow::data::HybridAsyncOpKernel::Compute(tensorflow::OpKernelContext*) + 0x21 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03bec96540 in tensorflow::ThreadPoolDevice::Compute(tensorflow::OpKernel*, tensorflow::OpKernelContext*) + 0x50 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03bed4fb68 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03becae0e8 in tensorflow::FunctionLibraryRuntimeImpl::RunSync(tensorflow::FunctionLibraryRuntime::Options, unsigned long, absl::lts_20230125::Span<tensorflow::Tensor const>, std::vector<tensorflow::Tensor, std::allocator<tensorflow::Tensor> >*) + 0x238 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03becb87c9 in _ZNK10tensorflow29ProcessFunctionLibraryRuntime18RunMultiDeviceSyncERKNS_22FunctionLibraryRuntime7OptionsEmPSt6vectorISt7variantIJNS_6TensorENS_11TensorShapeEEESaIS9_EESt8functionIFN4absl12lts_2023012 + 0x6f9 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03becbe8b2 in tensorflow::ProcessFunctionLibraryRuntime::RunSync(tensorflow::FunctionLibraryRuntime::Options const&, unsigned long, absl::lts_20230125::Span<tensorflow::Tensor const>, std::vector<tensorflow::Tensor, std::allocator<tensorflow::Tensor> >*) const + 0x212 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03b1463b06 in _ZN10tensorflow19KernelAndDeviceFunc3RunEPNS_19ScopedStepContainerERKNS_15EagerKernelArgsEPSt6vectorISt7variantIJNS_6TensorENS_11TensorShapeEEESaISA_EEPN3tsl19CancellationManagerERKSt8optionalINS_19Ea + 0x156 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03aa29b76e in _ZN10tensorflow18EagerKernelExecuteEPNS_12EagerContextERKN4absl12lts_2023012513InlinedVectorIPNS_12TensorHandleELm4ESaIS6_EEERKSt8optionalINS_19EagerFunctionParamsEERKN3tsl4core11RefCountPtrINS_15Kern + 0x22e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03aa2a5c30 in tensorflow::ExecuteNode::Run() + 0x1f0 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03b145f184 in tensorflow::EagerExecutor::SyncExecute(tensorflow::EagerNode*) + 0xe4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03aa29b13a in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03aa298b86 in tensorflow::DoEagerExecute(tensorflow::EagerOperation*, tensorflow::TensorHandle**, int*) + 0x216 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03aa29c689 in tensorflow::EagerExecute(tensorflow::EagerOperation*, tensorflow::TensorHandle**, int*) + 0x269 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03aa2983a7 in tensorflow::EagerOperation::Execute(absl::lts_20230125::Span<tensorflow::AbstractTensorHandle*>, int*) + 0x87 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03b145d793 in tensorflow::CustomDeviceOpHandler::Execute(tensorflow::ImmediateExecutionOperation*, tensorflow::ImmediateExecutionTensorHandle**, int*) + 0x263 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03baaa1df5 in TFE_Execute + 0x45 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03bcde8abd in TFE_Py_FastPathExecute_C(_object*) + 0x286d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../_pywrap_tensorflow_internal.so
0x00007f038cad5724 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/_pywrap_tfe.so
0x00007f038cab36df in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/_pywrap_tfe.so
0x00007f03e5db0f22 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5d98c13 in _PyObject_MakeTpCall + 0x2a3 from /lib64/libpython3.9.so.1.0
0x00007f03e5d94ade in _PyEval_EvalFrameDefault + 0x5dee from /lib64/libpython3.9.so.1.0
0x00007f03e5d8dcd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5da0395 in _PyFunction_Vectorcall + 0xe5 from /lib64/libpython3.9.so.1.0
0x00007f03e5d944d7 in _PyEval_EvalFrameDefault + 0x57e7 from /lib64/libpython3.9.so.1.0
0x00007f03e5da068b in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5d8f44c in _PyEval_EvalFrameDefault + 0x75c from /lib64/libpython3.9.so.1.0
0x00007f03e5d8dcd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5d9846e in _PyObject_FastCallDictTstate + 0x14e from /lib64/libpython3.9.so.1.0
0x00007f03e5dab6bb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5d98c2b in _PyObject_MakeTpCall + 0x2bb from /lib64/libpython3.9.so.1.0
0x00007f03e5d94ade in _PyEval_EvalFrameDefault + 0x5dee from /lib64/libpython3.9.so.1.0
0x00007f03e5da068b in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5dda1fb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5e7abe3 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5da0a18 in PyObject_GetIter + 0x18 from /lib64/libpython3.9.so.1.0
0x00007f03e5da0f20 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5d8f147 in _PyEval_EvalFrameDefault + 0x457 from /lib64/libpython3.9.so.1.0
0x00007f03e5db5b68 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5d8f6f9 in _PyEval_EvalFrameDefault + 0xa09 from /lib64/libpython3.9.so.1.0
0x00007f03e5d8dcd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5da0395 in _PyFunction_Vectorcall + 0xe5 from /lib64/libpython3.9.so.1.0
0x00007f03e5daf1d1 in PyObject_Call + 0xc1 from /lib64/libpython3.9.so.1.0
0x00007f03e5d9259d in _PyEval_EvalFrameDefault + 0x38ad from /lib64/libpython3.9.so.1.0
0x00007f03e5d8dcd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5dae9c5 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5d90183 in _PyEval_EvalFrameDefault + 0x1493 from /lib64/libpython3.9.so.1.0
0x00007f03e5da068b in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5d8f147 in _PyEval_EvalFrameDefault + 0x457 from /lib64/libpython3.9.so.1.0
0x00007f03e5d8dcd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5d8d945 in _PyEval_EvalCodeWithName + 0x55 from /lib64/libpython3.9.so.1.0
0x00007f03e5e42a77 in PyEval_EvalCode + 0x27 from /lib64/libpython3.9.so.1.0
0x00007f03e5e704c4 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5e6c5bb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5cf6ba2 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5e65e09 in PyRun_SimpleFileExFlags + 0x1b9 from /lib64/libpython3.9.so.1.0
0x00007f03e5e632bf in Py_RunMain + 0x39f from /lib64/libpython3.9.so.1.0
0x00007f03e5e354ed in Py_BytesMain + 0x3d from /lib64/libpython3.9.so.1.0
0x00007f03e5a805d0 in <unknown> from /lib64/libc.so.6
0x00007f03e5a80680 in __libc_start_main at :? from /lib64/libc.so.6
0x000056306d64e095 in _start + 0x25 from /py-venv/ROOT-CI/bin/python3.9
*** Break *** abort
Generating stack trace...
0x00007f03e53239ab in <unknown> from /github/home/ROOT-CI/build/lib/libCore.so
0x00007f03e5a95730 in <unknown> from /lib64/libc.so.6
0x00007f03e5ae2a6c in <unknown> from /lib64/libc.so.6
0x00007f03e5a95686 in raise at :? from /lib64/libc.so.6
0x00007f03e5a7f833 in abort at :? from /lib64/libc.so.6
0x00007f03e1e9b291 in <unknown> from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f03e1ee8dd9 in llvm::SmallVectorBase<unsigned int>::mallocForGrow(void*, unsigned long, unsigned long, unsigned long&) + 0xb9 from /github/home/ROOT-CI/build/lib/libCling.so
0x00007f03be246c43 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03be2438ac in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03be242a19 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03be242e67 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03be24669e in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03be08d8a4 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03be242a2b in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03be244f47 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03be244db6 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03be06709b in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03bde4b882 in tensorflow::grappler::MetaOptimizer::RunOptimizer(tensorflow::grappler::GraphOptimizer*, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem*, tensorflow::GraphDef*, tensorflow::grappler::MetaOptimizer::GraphOptimizationResult*) + 0x392 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03bde4a54a in tensorflow::grappler::MetaOptimizer::OptimizeGraph(std::vector<std::unique_ptr<tensorflow::grappler::GraphOptimizer, std::default_delete<tensorflow::grappler::GraphOptimizer> >, std::allocator<std::unique_ptr<tensorflow::grappler::GraphOptimizer, std::default_delete<tensorflow::grappler::GraphOptimizer> > > > const&, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem&&, tensorflow::GraphDef*) + 0x79a from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03bde4e9a5 in tensorflow::grappler::MetaOptimizer::OptimizeConsumeItem(tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem&&, tensorflow::GraphDef*) + 0x1745 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03bde4ffae in tensorflow::grappler::RunMetaOptimizer(tensorflow::grappler::GrapplerItem&&, tensorflow::ConfigProto const&, tensorflow::DeviceBase*, tensorflow::grappler::Cluster*, tensorflow::GraphDef*) + 0x9e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03bde5051f in _ZN10tensorflow8grappler13OptimizeGraphESt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS7_EES9_PNS_25FunctionLibraryDefinitionERKNS_9DeviceSetEPNS_6DeviceERKNS_11ConfigProtoERKS7_RKN + 0x4cf from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03bf15537e in _ZSt13__invoke_implIN4absl12lts_202301256StatusERPFS2_St6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS9_EESB_PN10tensorflow25FunctionLibraryDefinitionERKNSC_9DeviceSetEPNSC_6DeviceER + 0x8e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03bf15522c in _ZNSt17_Function_handlerIFN4absl12lts_202301256StatusESt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS9_EESB_PN10tensorflow25FunctionLibraryDefinitionERKNSC_9DeviceSetEPNSC_6DeviceEP + 0x2c from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03bece3146 in _ZN10tensorflow21OptimizeFunctionGraphERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEENS_9AttrSliceERKNS_22FunctionLibraryRuntime18InstantiateOptionsERKNS_9DeviceSetEPKNS_25FunctionLibraryDefin + 0x17f6 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03bece3dae in _ZN10tensorflow40OptimizeFunctionGraphOrReadFromFileCacheERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEENS_9AttrSliceERKNS_22FunctionLibraryRuntime18InstantiateOptionsERKNS_9DeviceSetEPKNS_25F + 0x1fe from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03becb6160 in tensorflow::ProcessFunctionLibraryRuntime::InstantiateMultiDevice(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x830 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03becbbf86 in tensorflow::ProcessFunctionLibraryRuntime::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x46 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03beca9848 in tensorflow::FunctionLibraryRuntimeImpl::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x118 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03be6a3f7c in tensorflow::FunctionHandleCache::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions, unsigned long*) + 0x1ac from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03bf14d49d in tensorflow::data::CapturedFunction::Instantiate(tensorflow::data::InstantiateCapturedFunctionParams, std::unique_ptr<tensorflow::data::InstantiatedCapturedFunction, std::default_delete<tensorflow::data::InstantiatedCapturedFunction> >*) + 0x113d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03bf14c348 in tensorflow::data::CapturedFunction::Instantiate(tensorflow::data::IteratorContext*, std::unique_ptr<tensorflow::data::InstantiatedCapturedFunction, std::default_delete<tensorflow::data::InstantiatedCapturedFunction> >*) + 0x38 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03afdecd3f in tensorflow::data::MapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x6f from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03be6759db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03b2311632 in tensorflow::data::PrefetchDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2d2 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03be6759db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03afde6674 in tensorflow::data::FlatMapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x1b4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03be6759db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03afe6de3a in tensorflow::data::ZipDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2da from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03be6759db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03b1232506 in tensorflow::data::ParallelMapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x186 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03be6759db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03be675a3d in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0x15d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03be675a3d in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0x15d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03b2311632 in tensorflow::data::PrefetchDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2d2 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03be6759db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03b2298e81 in tensorflow::data::RootDataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x6b1 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03be6759db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03b2287ea4 in tensorflow::data::IteratorResource::SetIteratorFromDataset(tensorflow::OpKernelContext*, tensorflow::data::DatasetBase const*) + 0x7a4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03b22894b0 in tensorflow::data::MakeIteratorOp::DoCompute(tensorflow::OpKernelContext*) + 0xa0 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03b22893e1 in tensorflow::data::HybridAsyncOpKernel::Compute(tensorflow::OpKernelContext*) + 0x21 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03bec96540 in tensorflow::ThreadPoolDevice::Compute(tensorflow::OpKernel*, tensorflow::OpKernelContext*) + 0x50 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03bed4fb68 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03becae0e8 in tensorflow::FunctionLibraryRuntimeImpl::RunSync(tensorflow::FunctionLibraryRuntime::Options, unsigned long, absl::lts_20230125::Span<tensorflow::Tensor const>, std::vector<tensorflow::Tensor, std::allocator<tensorflow::Tensor> >*) + 0x238 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03becb87c9 in _ZNK10tensorflow29ProcessFunctionLibraryRuntime18RunMultiDeviceSyncERKNS_22FunctionLibraryRuntime7OptionsEmPSt6vectorISt7variantIJNS_6TensorENS_11TensorShapeEEESaIS9_EESt8functionIFN4absl12lts_2023012 + 0x6f9 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03becbe8b2 in tensorflow::ProcessFunctionLibraryRuntime::RunSync(tensorflow::FunctionLibraryRuntime::Options const&, unsigned long, absl::lts_20230125::Span<tensorflow::Tensor const>, std::vector<tensorflow::Tensor, std::allocator<tensorflow::Tensor> >*) const + 0x212 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007f03b1463b06 in _ZN10tensorflow19KernelAndDeviceFunc3RunEPNS_19ScopedStepContainerERKNS_15EagerKernelArgsEPSt6vectorISt7variantIJNS_6TensorENS_11TensorShapeEEESaISA_EEPN3tsl19CancellationManagerERKSt8optionalINS_19Ea + 0x156 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03aa29b76e in _ZN10tensorflow18EagerKernelExecuteEPNS_12EagerContextERKN4absl12lts_2023012513InlinedVectorIPNS_12TensorHandleELm4ESaIS6_EEERKSt8optionalINS_19EagerFunctionParamsEERKN3tsl4core11RefCountPtrINS_15Kern + 0x22e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03aa2a5c30 in tensorflow::ExecuteNode::Run() + 0x1f0 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
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0x00007f03aa29c689 in tensorflow::EagerExecute(tensorflow::EagerOperation*, tensorflow::TensorHandle**, int*) + 0x269 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03aa2983a7 in tensorflow::EagerOperation::Execute(absl::lts_20230125::Span<tensorflow::AbstractTensorHandle*>, int*) + 0x87 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03b145d793 in tensorflow::CustomDeviceOpHandler::Execute(tensorflow::ImmediateExecutionOperation*, tensorflow::ImmediateExecutionTensorHandle**, int*) + 0x263 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03baaa1df5 in TFE_Execute + 0x45 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007f03bcde8abd in TFE_Py_FastPathExecute_C(_object*) + 0x286d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../_pywrap_tensorflow_internal.so
0x00007f038cad5724 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/_pywrap_tfe.so
0x00007f038cab36df in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/_pywrap_tfe.so
0x00007f03e5db0f22 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5d98c13 in _PyObject_MakeTpCall + 0x2a3 from /lib64/libpython3.9.so.1.0
0x00007f03e5d94ade in _PyEval_EvalFrameDefault + 0x5dee from /lib64/libpython3.9.so.1.0
0x00007f03e5d8dcd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5da0395 in _PyFunction_Vectorcall + 0xe5 from /lib64/libpython3.9.so.1.0
0x00007f03e5d944d7 in _PyEval_EvalFrameDefault + 0x57e7 from /lib64/libpython3.9.so.1.0
0x00007f03e5da068b in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5d8f44c in _PyEval_EvalFrameDefault + 0x75c from /lib64/libpython3.9.so.1.0
0x00007f03e5d8dcd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5d9846e in _PyObject_FastCallDictTstate + 0x14e from /lib64/libpython3.9.so.1.0
0x00007f03e5dab6bb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5d98c2b in _PyObject_MakeTpCall + 0x2bb from /lib64/libpython3.9.so.1.0
0x00007f03e5d94ade in _PyEval_EvalFrameDefault + 0x5dee from /lib64/libpython3.9.so.1.0
0x00007f03e5da068b in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5dda1fb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5e7abe3 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5da0a18 in PyObject_GetIter + 0x18 from /lib64/libpython3.9.so.1.0
0x00007f03e5da0f20 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5d8f147 in _PyEval_EvalFrameDefault + 0x457 from /lib64/libpython3.9.so.1.0
0x00007f03e5db5b68 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5d8f6f9 in _PyEval_EvalFrameDefault + 0xa09 from /lib64/libpython3.9.so.1.0
0x00007f03e5d8dcd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5da0395 in _PyFunction_Vectorcall + 0xe5 from /lib64/libpython3.9.so.1.0
0x00007f03e5daf1d1 in PyObject_Call + 0xc1 from /lib64/libpython3.9.so.1.0
0x00007f03e5d9259d in _PyEval_EvalFrameDefault + 0x38ad from /lib64/libpython3.9.so.1.0
0x00007f03e5d8dcd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5dae9c5 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5d90183 in _PyEval_EvalFrameDefault + 0x1493 from /lib64/libpython3.9.so.1.0
0x00007f03e5da068b in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5d8f147 in _PyEval_EvalFrameDefault + 0x457 from /lib64/libpython3.9.so.1.0
0x00007f03e5d8dcd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5d8d945 in _PyEval_EvalCodeWithName + 0x55 from /lib64/libpython3.9.so.1.0
0x00007f03e5e42a77 in PyEval_EvalCode + 0x27 from /lib64/libpython3.9.so.1.0
0x00007f03e5e704c4 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5e6c5bb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5cf6ba2 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007f03e5e65e09 in PyRun_SimpleFileExFlags + 0x1b9 from /lib64/libpython3.9.so.1.0
0x00007f03e5e632bf in Py_RunMain + 0x39f from /lib64/libpython3.9.so.1.0
0x00007f03e5e354ed in Py_BytesMain + 0x3d from /lib64/libpython3.9.so.1.0
0x00007f03e5a805d0 in <unknown> from /lib64/libc.so.6
0x00007f03e5a80680 in __libc_start_main at :? from /lib64/libc.so.6
0x000056306d64e095 in _start + 0x25 from /py-venv/ROOT-CI/bin/python3.9
CMake Error at /github/home/ROOT-CI/build/RootTestDriver.cmake:232 (message):
error code: 133
Check warning on line 0 in tutorial-tmva-TMVA_SOFIE_RDataFrame-py
github-actions / Test Results
1 out of 12 runs failed: tutorial-tmva-TMVA_SOFIE_RDataFrame-py (tutorial-tmva-TMVA_SOFIE_RDataFrame-py)
artifacts/Test Results alma9/TestResults.xml [took 6s]
Raw output
Traceback (most recent call last):
File "/github/home/ROOT-CI/src/tutorials/tmva/TMVA_SOFIE_RDataFrame.py", line 24, in <module>
raise FileNotFoundError("You need to run TMVA_Higgs_Classification.C to generate the Keras trained model")
FileNotFoundError: You need to run TMVA_Higgs_Classification.C to generate the Keras trained model
CMake Error at /github/home/ROOT-CI/build/RootTestDriver.cmake:232 (message):
error code: 1
Check warning on line 0 in tutorial-tmva-keras-ApplicationClassificationKeras-py
github-actions / Test Results
1 out of 12 runs failed: tutorial-tmva-keras-ApplicationClassificationKeras-py (tutorial-tmva-keras-ApplicationClassificationKeras-py)
artifacts/Test Results alma9/TestResults.xml [took 6s]
Raw output
[NON-XML-CHAR-0x1B][37;41;1m<FATAL> : <BookMVA> fatal error: unable to open input weight file: dataset/weights/TMVAClassification_PyKeras.weights.xml[NON-XML-CHAR-0x1B][0m
***> abort program execution
Traceback (most recent call last):
File "/github/home/ROOT-CI/src/tutorials/tmva/keras/ApplicationClassificationKeras.py", line 39, in <module>
reader.BookMVA('PyKeras', TString('dataset/weights/TMVAClassification_PyKeras.weights.xml'))
cppyy.gbl.std.runtime_error: TMVA::IMethod* TMVA::Reader::BookMVA(const TString& methodTag, const TString& weightfile) =>
runtime_error: FATAL error
CMake Error at /github/home/ROOT-CI/build/RootTestDriver.cmake:232 (message):
error code: 1
Check warning on line 0 in tutorial-tmva-keras-ApplicationRegressionKeras-py
github-actions / Test Results
1 out of 8 runs failed: tutorial-tmva-keras-ApplicationRegressionKeras-py (tutorial-tmva-keras-ApplicationRegressionKeras-py)
artifacts/Test Results alma9/TestResults.xml [took 6s]
Raw output
[NON-XML-CHAR-0x1B][37;41;1m<FATAL> : <BookMVA> fatal error: unable to open input weight file: dataset/weights/TMVARegression_PyKeras.weights.xml[NON-XML-CHAR-0x1B][0m
***> abort program execution
Traceback (most recent call last):
File "/github/home/ROOT-CI/src/tutorials/tmva/keras/ApplicationRegressionKeras.py", line 38, in <module>
reader.BookMVA('PyKeras', TString('dataset/weights/TMVARegression_PyKeras.weights.xml'))
cppyy.gbl.std.runtime_error: TMVA::IMethod* TMVA::Reader::BookMVA(const TString& methodTag, const TString& weightfile) =>
runtime_error: FATAL error
CMake Error at /github/home/ROOT-CI/build/RootTestDriver.cmake:232 (message):
error code: 1
Check warning on line 0 in tutorial-tmva-keras-ClassificationKeras-py
github-actions / Test Results
1 out of 12 runs failed: tutorial-tmva-keras-ClassificationKeras-py (tutorial-tmva-keras-ClassificationKeras-py)
artifacts/Test Results alma9/TestResults.xml [took 42s]
Raw output
2024-11-30 23:17:12.281048: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-11-30 23:17:12.343334: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-11-30 23:17:12.343382: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-11-30 23:17:12.344556: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-11-30 23:17:12.357319: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-11-30 23:17:13.636437: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
return self._float_to_str(self.smallest_subnormal)
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
return self._float_to_str(self.smallest_subnormal)
/py-venv/ROOT-CI/lib64/python3.9/site-packages/keras/src/engine/training.py:3103: UserWarning: You are saving your model as an HDF5 file via `model.save()`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')`.
saving_api.save_model(
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense (Dense) (None, 64) 320
dense_1 (Dense) (None, 2) 130
=================================================================
Total params: 450 (1.76 KB)
Trainable params: 450 (1.76 KB)
Non-trainable params: 0 (0.00 Byte)
_________________________________________________________________
DataSetInfo : [dataset] : Added class "Signal"
: Add Tree TreeS of type Signal with 6000 events
DataSetInfo : [dataset] : Added class "Background"
: Add Tree TreeB of type Background with 6000 events
: Dataset[dataset] : Class index : 0 name : Signal
: Dataset[dataset] : Class index : 1 name : Background
Factory : Booking method: [NON-XML-CHAR-0x1B][1mFisher[NON-XML-CHAR-0x1B][0m
:
Fisher : [dataset] : Create Transformation "D" with events from all classes.
:
: Transformation, Variable selection :
: Input : variable 'var1' <---> Output : variable 'var1'
: Input : variable 'var2' <---> Output : variable 'var2'
: Input : variable 'var3' <---> Output : variable 'var3'
: Input : variable 'var4' <---> Output : variable 'var4'
Fisher : [dataset] : Create Transformation "G" with events from all classes.
:
: Transformation, Variable selection :
: Input : variable 'var1' <---> Output : variable 'var1'
: Input : variable 'var2' <---> Output : variable 'var2'
: Input : variable 'var3' <---> Output : variable 'var3'
: Input : variable 'var4' <---> Output : variable 'var4'
Factory : Booking method: [NON-XML-CHAR-0x1B][1mPyKeras[NON-XML-CHAR-0x1B][0m
:
PyKeras : [dataset] : Create Transformation "D" with events from all classes.
:
: Transformation, Variable selection :
: Input : variable 'var1' <---> Output : variable 'var1'
: Input : variable 'var2' <---> Output : variable 'var2'
: Input : variable 'var3' <---> Output : variable 'var3'
: Input : variable 'var4' <---> Output : variable 'var4'
PyKeras : [dataset] : Create Transformation "G" with events from all classes.
:
: Transformation, Variable selection :
: Input : variable 'var1' <---> Output : variable 'var1'
: Input : variable 'var2' <---> Output : variable 'var2'
: Input : variable 'var3' <---> Output : variable 'var3'
: Input : variable 'var4' <---> Output : variable 'var4'
: Setting up tf.keras
: Using TensorFlow version 2
: Use Keras version from TensorFlow : tf.keras
: Loading Keras Model
: Loaded model from file: modelClassification.h5
Factory : [NON-XML-CHAR-0x1B][1mTrain all methods[NON-XML-CHAR-0x1B][0m
: Rebuilding Dataset dataset
: Building event vectors for type 2 Signal
: Dataset[dataset] : create input formulas for tree TreeS
: Building event vectors for type 2 Background
: Dataset[dataset] : create input formulas for tree TreeB
DataSetFactory : [dataset] : Number of events in input trees
:
:
: Number of training and testing events
: ---------------------------------------------------------------------------
: Signal -- training events : 4000
: Signal -- testing events : 2000
: Signal -- training and testing events: 6000
: Background -- training events : 4000
: Background -- testing events : 2000
: Background -- training and testing events: 6000
:
DataSetInfo : Correlation matrix (Signal):
: ----------------------------------------
: var1 var2 var3 var4
: var1: +1.000 +0.386 +0.589 +0.817
: var2: +0.386 +1.000 +0.684 +0.724
: var3: +0.589 +0.684 +1.000 +0.846
: var4: +0.817 +0.724 +0.846 +1.000
: ----------------------------------------
DataSetInfo : Correlation matrix (Background):
: ----------------------------------------
: var1 var2 var3 var4
: var1: +1.000 +0.854 +0.913 +0.964
: var2: +0.854 +1.000 +0.925 +0.935
: var3: +0.913 +0.925 +1.000 +0.970
: var4: +0.964 +0.935 +0.970 +1.000
: ----------------------------------------
DataSetFactory : [dataset] :
:
Factory : [dataset] : Create Transformation "D" with events from all classes.
:
: Transformation, Variable selection :
: Input : variable 'var1' <---> Output : variable 'var1'
: Input : variable 'var2' <---> Output : variable 'var2'
: Input : variable 'var3' <---> Output : variable 'var3'
: Input : variable 'var4' <---> Output : variable 'var4'
Factory : [dataset] : Create Transformation "G" with events from all classes.
:
: Transformation, Variable selection :
: Input : variable 'var1' <---> Output : variable 'var1'
: Input : variable 'var2' <---> Output : variable 'var2'
: Input : variable 'var3' <---> Output : variable 'var3'
: Input : variable 'var4' <---> Output : variable 'var4'
: Preparing the Decorrelation transformation...
: Preparing the Gaussian transformation...
TFHandler_Factory : Variable Mean RMS [ Min Max ]
: -----------------------------------------------------------
: var1: 0.0079678 1.0003 [ -3.1195 5.7307 ]
: var2: 0.0084088 1.0021 [ -3.1195 5.7307 ]
: var3: 0.0079669 1.0002 [ -3.1195 5.7307 ]
: var4: 0.0077559 0.99925 [ -3.1195 5.7307 ]
: -----------------------------------------------------------
Factory : Train method: Fisher for Classification
:
: Preparing the Decorrelation transformation...
: Preparing the Gaussian transformation...
TFHandler_Fisher : Variable Mean RMS [ Min Max ]
: -----------------------------------------------------------
: var1: 0.0079678 1.0003 [ -3.1195 5.7307 ]
: var2: 0.0084088 1.0021 [ -3.1195 5.7307 ]
: var3: 0.0079669 1.0002 [ -3.1195 5.7307 ]
: var4: 0.0077559 0.99925 [ -3.1195 5.7307 ]
: -----------------------------------------------------------
Fisher : Results for Fisher coefficients:
: NOTE: The coefficients must be applied to TRANFORMED variables
: List of the transformation:
: -- Deco
: -- Gauss
: -----------------------
: Variable: Coefficient:
: -----------------------
: var1: -0.226
: var2: -0.040
: var3: +0.034
: var4: +0.477
: (offset): -0.002
: -----------------------
: Elapsed time for training with 8000 events: 0.251 sec
Fisher : [dataset] : Evaluation of Fisher on training sample (8000 events)
0%, time left: unknown
7%, time left: 0 sec
13%, time left: 0 sec
19%, time left: 0 sec
25%, time left: 0 sec
32%, time left: 0 sec
38%, time left: 0 sec
44%, time left: 0 sec
50%, time left: 0 sec
57%, time left: 0 sec
63%, time left: 0 sec
69%, time left: 0 sec
75%, time left: 0 sec
82%, time left: 0 sec
88%, time left: 0 sec
94 : Elapsed time for evaluation of 8000 events: 0.0955 sec
: Creating xml weight file: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVAClassification_Fisher.weights.xml[NON-XML-CHAR-0x1B][0m
%, time left: 0 sec
: Creating standalone class: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVAClassification_Fisher.class.C[NON-XML-CHAR-0x1B][0m
Factory : Training finished
:
Factory : Train method: PyKeras for Classification
:
:
: [NON-XML-CHAR-0x1B][1m================================================================[NON-XML-CHAR-0x1B][0m
: [NON-XML-CHAR-0x1B][1mH e l p f o r M V A m e t h o d [ PyKeras ] :[NON-XML-CHAR-0x1B][0m
:
: Keras is a high-level API for the Theano and Tensorflow packages.
: This method wraps the training and predictions steps of the Keras
: Python package for TMVA, so that dataloading, preprocessing and
: evaluation can be done within the TMVA system. To use this Keras
: interface, you have to generate a model with Keras first. Then,
: this model can be loaded and trained in TMVA.
:
:
: <Suppress this message by specifying "!H" in the booking option>
: [NON-XML-CHAR-0x1B][1m================================================================[NON-XML-CHAR-0x1B][0m
:
: Preparing the Decorrelation transformation...
: Preparing the Gaussian transformation...
TFHandler_PyKeras : Variable Mean RMS [ Min Max ]
: -----------------------------------------------------------
: var1: 0.0079678 1.0003 [ -3.1195 5.7307 ]
: var2: 0.0084088 1.0021 [ -3.1195 5.7307 ]
: var3: 0.0079669 1.0002 [ -3.1195 5.7307 ]
: var4: 0.0077559 0.99925 [ -3.1195 5.7307 ]
: -----------------------------------------------------------
TFHandler_PyKeras : Variable Mean RMS [ Min Max ]
: -----------------------------------------------------------
: var1: 0.0079678 1.0003 [ -3.1195 5.7307 ]
: var2: 0.0084088 1.0021 [ -3.1195 5.7307 ]
: var3: 0.0079669 1.0002 [ -3.1195 5.7307 ]
: var4: 0.0077559 0.99925 [ -3.1195 5.7307 ]
: -----------------------------------------------------------
: Split TMVA training data in 6400 training events and 1600 validation events
: Training Model Summary
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense (Dense) (None, 64) 320
dense_1 (Dense) (None, 2) 130
=================================================================
Total params: 450 (1.76 KB)
Trainable params: 450 (1.76 KB)
Non-trainable params: 0 (0.00 Byte)
_________________________________________________________________
: Option SaveBestOnly: Only model weights with smallest validation loss will be stored
CMake Error at /github/home/ROOT-CI/build/RootTestDriver.cmake:232 (message):
error code: Subprocess killed
Check warning on line 0 in tutorial-tmva-keras-MulticlassKeras-py
github-actions / Test Results
1 out of 8 runs failed: tutorial-tmva-keras-MulticlassKeras-py (tutorial-tmva-keras-MulticlassKeras-py)
artifacts/Test Results alma9/TestResults.xml [took 15s]
Raw output
Error regular expression found in output. Regex=[segmentation violation]
2024-11-30 23:33:34.942492: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-11-30 23:33:34.979063: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-11-30 23:33:34.979109: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-11-30 23:33:34.980258: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-11-30 23:33:34.988488: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-11-30 23:33:35.725052: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
return self._float_to_str(self.smallest_subnormal)
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
return self._float_to_str(self.smallest_subnormal)
/py-venv/ROOT-CI/lib64/python3.9/site-packages/keras/src/engine/training.py:3103: UserWarning: You are saving your model as an HDF5 file via `model.save()`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')`.
saving_api.save_model(
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense (Dense) (None, 32) 160
dense_1 (Dense) (None, 4) 132
=================================================================
Total params: 292 (1.14 KB)
Trainable params: 292 (1.14 KB)
Non-trainable params: 0 (0.00 Byte)
_________________________________________________________________
DataSetInfo : [dataset] : Added class "Signal"
: Add Tree TreeS of type Signal with 200 events
DataSetInfo : [dataset] : Added class "Background_0"
: Add Tree TreeB0 of type Background_0 with 200 events
DataSetInfo : [dataset] : Added class "Background_1"
: Add Tree TreeB1 of type Background_1 with 200 events
DataSetInfo : [dataset] : Added class "Background_2"
: Add Tree TreeB2 of type Background_2 with 200 events
: Dataset[dataset] : Class index : 0 name : Signal
: Dataset[dataset] : Class index : 1 name : Background_0
: Dataset[dataset] : Class index : 2 name : Background_1
: Dataset[dataset] : Class index : 3 name : Background_2
Factory : Booking method: [NON-XML-CHAR-0x1B][1mFisher[NON-XML-CHAR-0x1B][0m
:
<WARNING> : Method Fisher is not capable of handling multiclass classification with 4 classes.
Factory : Booking method: [NON-XML-CHAR-0x1B][1mPyKeras[NON-XML-CHAR-0x1B][0m
:
PyKeras : [dataset] : Create Transformation "D" with events from all classes.
:
: Transformation, Variable selection :
: Input : variable 'var1' <---> Output : variable 'var1'
: Input : variable 'var2' <---> Output : variable 'var2'
: Input : variable 'var3' <---> Output : variable 'var3'
: Input : variable 'var4' <---> Output : variable 'var4'
PyKeras : [dataset] : Create Transformation "G" with events from all classes.
:
: Transformation, Variable selection :
: Input : variable 'var1' <---> Output : variable 'var1'
: Input : variable 'var2' <---> Output : variable 'var2'
: Input : variable 'var3' <---> Output : variable 'var3'
: Input : variable 'var4' <---> Output : variable 'var4'
: Setting up tf.keras
: Using TensorFlow version 2
: Use Keras version from TensorFlow : tf.keras
: Loading Keras Model
: Loaded model from file: modelMultiClass.h5
Factory : [NON-XML-CHAR-0x1B][1mTrain all methods[NON-XML-CHAR-0x1B][0m
: Rebuilding Dataset dataset
: Building event vectors for type 2 Signal
: Dataset[dataset] : create input formulas for tree TreeS
: Building event vectors for type 2 Background_0
: Dataset[dataset] : create input formulas for tree TreeB0
: Building event vectors for type 2 Background_1
: Dataset[dataset] : create input formulas for tree TreeB1
: Building event vectors for type 2 Background_2
: Dataset[dataset] : create input formulas for tree TreeB2
DataSetFactory : [dataset] : Number of events in input trees
:
:
:
:
: Number of training and testing events
: ---------------------------------------------------------------------------
: Signal -- training events : 100
: Signal -- testing events : 100
: Signal -- training and testing events: 200
: Background_0 -- training events : 100
: Background_0 -- testing events : 100
: Background_0 -- training and testing events: 200
: Background_1 -- training events : 100
: Background_1 -- testing events : 100
: Background_1 -- training and testing events: 200
: Background_2 -- training events : 100
: Background_2 -- testing events : 100
: Background_2 -- training and testing events: 200
:
DataSetInfo : Correlation matrix (Signal):
: ----------------------------------------
: var1 var2 var3 var4
: var1: +1.000 +0.427 +0.620 +0.834
: var2: +0.427 +1.000 +0.756 +0.779
: var3: +0.620 +0.756 +1.000 +0.854
: var4: +0.834 +0.779 +0.854 +1.000
: ----------------------------------------
DataSetInfo : Correlation matrix (Background_0):
: ----------------------------------------
: var1 var2 var3 var4
: var1: +1.000 +0.404 +0.560 +0.803
: var2: +0.404 +1.000 +0.784 +0.784
: var3: +0.560 +0.784 +1.000 +0.836
: var4: +0.803 +0.784 +0.836 +1.000
: ----------------------------------------
DataSetInfo : Correlation matrix (Background_1):
: ----------------------------------------
: var1 var2 var3 var4
: var1: +1.000 +0.407 +0.628 +0.844
: var2: +0.407 +1.000 +0.729 +0.753
: var3: +0.628 +0.729 +1.000 +0.849
: var4: +0.844 +0.753 +0.849 +1.000
: ----------------------------------------
DataSetInfo : Correlation matrix (Background_2):
: ----------------------------------------
: var1 var2 var3 var4
: var1: +1.000 -0.638 +0.131 +0.235
: var2: -0.638 +1.000 -0.074 -0.116
: var3: +0.131 -0.074 +1.000 -0.006
: var4: +0.235 -0.116 -0.006 +1.000
: ----------------------------------------
DataSetFactory : [dataset] :
:
Factory : [dataset] : Create Transformation "D" with events from all classes.
:
: Transformation, Variable selection :
: Input : variable 'var1' <---> Output : variable 'var1'
: Input : variable 'var2' <---> Output : variable 'var2'
: Input : variable 'var3' <---> Output : variable 'var3'
: Input : variable 'var4' <---> Output : variable 'var4'
Factory : [dataset] : Create Transformation "G" with events from all classes.
:
: Transformation, Variable selection :
: Input : variable 'var1' <---> Output : variable 'var1'
: Input : variable 'var2' <---> Output : variable 'var2'
: Input : variable 'var3' <---> Output : variable 'var3'
: Input : variable 'var4' <---> Output : variable 'var4'
: Preparing the Decorrelation transformation...
: Preparing the Gaussian transformation...
TFHandler_Factory : Variable Mean RMS [ Min Max ]
: -----------------------------------------------------------
: var1: 0.12033 1.0429 [ -2.1004 5.7307 ]
: var2: 0.11415 1.0286 [ -2.1004 5.7307 ]
: var3: 0.13656 1.1203 [ -2.1003 5.7307 ]
: var4: 0.12688 1.0782 [ -2.1003 5.7307 ]
: -----------------------------------------------------------
Factory : Train method: PyKeras for Multiclass classification
:
:
: [NON-XML-CHAR-0x1B][1m================================================================[NON-XML-CHAR-0x1B][0m
: [NON-XML-CHAR-0x1B][1mH e l p f o r M V A m e t h o d [ PyKeras ] :[NON-XML-CHAR-0x1B][0m
:
: Keras is a high-level API for the Theano and Tensorflow packages.
: This method wraps the training and predictions steps of the Keras
: Python package for TMVA, so that dataloading, preprocessing and
: evaluation can be done within the TMVA system. To use this Keras
: interface, you have to generate a model with Keras first. Then,
: this model can be loaded and trained in TMVA.
:
:
: <Suppress this message by specifying "!H" in the booking option>
: [NON-XML-CHAR-0x1B][1m================================================================[NON-XML-CHAR-0x1B][0m
:
: Preparing the Decorrelation transformation...
: Preparing the Gaussian transformation...
TFHandler_PyKeras : Variable Mean RMS [ Min Max ]
: -----------------------------------------------------------
: var1: 0.12033 1.0429 [ -2.1004 5.7307 ]
: var2: 0.11415 1.0286 [ -2.1004 5.7307 ]
: var3: 0.13656 1.1203 [ -2.1003 5.7307 ]
: var4: 0.12688 1.0782 [ -2.1003 5.7307 ]
: -----------------------------------------------------------
TFHandler_PyKeras : Variable Mean RMS [ Min Max ]
: -----------------------------------------------------------
: var1: 0.12033 1.0429 [ -2.1004 5.7307 ]
: var2: 0.11415 1.0286 [ -2.1004 5.7307 ]
: var3: 0.13656 1.1203 [ -2.1003 5.7307 ]
: var4: 0.12688 1.0782 [ -2.1003 5.7307 ]
: -----------------------------------------------------------
: Split TMVA training data in 320 training events and 80 validation events
: Training Model Summary
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense (Dense) (None, 32) 160
dense_1 (Dense) (None, 4) 132
=================================================================
Total params: 292 (1.14 KB)
Trainable params: 292 (1.14 KB)
Non-trainable params: 0 (0.00 Byte)
_________________________________________________________________
: Option SaveBestOnly: Only model weights with smallest validation loss will be stored
*** Break *** segmentation violation
Generating stack trace...
0x00007fe3da0499ab in <unknown> from /github/home/ROOT-CI/build/lib/libCore.so
0x00007fe3da7bb730 in <unknown> from /lib64/libc.so.6
0x00007fe3b327b0ad in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b3279a19 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b3279e67 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b327d69e in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b30c48a4 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b3279a2b in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b327bf47 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b327bdb6 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b309e09b in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b2e82882 in tensorflow::grappler::MetaOptimizer::RunOptimizer(tensorflow::grappler::GraphOptimizer*, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem*, tensorflow::GraphDef*, tensorflow::grappler::MetaOptimizer::GraphOptimizationResult*) + 0x392 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b2e8154a in tensorflow::grappler::MetaOptimizer::OptimizeGraph(std::vector<std::unique_ptr<tensorflow::grappler::GraphOptimizer, std::default_delete<tensorflow::grappler::GraphOptimizer> >, std::allocator<std::unique_ptr<tensorflow::grappler::GraphOptimizer, std::default_delete<tensorflow::grappler::GraphOptimizer> > > > const&, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem&&, tensorflow::GraphDef*) + 0x79a from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b2e859a5 in tensorflow::grappler::MetaOptimizer::OptimizeConsumeItem(tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem&&, tensorflow::GraphDef*) + 0x1745 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b2e86fae in tensorflow::grappler::RunMetaOptimizer(tensorflow::grappler::GrapplerItem&&, tensorflow::ConfigProto const&, tensorflow::DeviceBase*, tensorflow::grappler::Cluster*, tensorflow::GraphDef*) + 0x9e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b2e8751f in _ZN10tensorflow8grappler13OptimizeGraphESt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS7_EES9_PNS_25FunctionLibraryDefinitionERKNS_9DeviceSetEPNS_6DeviceERKNS_11ConfigProtoERKS7_RKN + 0x4cf from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b418c37e in _ZSt13__invoke_implIN4absl12lts_202301256StatusERPFS2_St6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS9_EESB_PN10tensorflow25FunctionLibraryDefinitionERKNSC_9DeviceSetEPNSC_6DeviceER + 0x8e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b418c22c in _ZNSt17_Function_handlerIFN4absl12lts_202301256StatusESt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS9_EESB_PN10tensorflow25FunctionLibraryDefinitionERKNSC_9DeviceSetEPNSC_6DeviceEP + 0x2c from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b3d1a146 in _ZN10tensorflow21OptimizeFunctionGraphERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEENS_9AttrSliceERKNS_22FunctionLibraryRuntime18InstantiateOptionsERKNS_9DeviceSetEPKNS_25FunctionLibraryDefin + 0x17f6 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b3d1adae in _ZN10tensorflow40OptimizeFunctionGraphOrReadFromFileCacheERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEENS_9AttrSliceERKNS_22FunctionLibraryRuntime18InstantiateOptionsERKNS_9DeviceSetEPKNS_25F + 0x1fe from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b3ced160 in tensorflow::ProcessFunctionLibraryRuntime::InstantiateMultiDevice(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x830 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b3cf2f86 in tensorflow::ProcessFunctionLibraryRuntime::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x46 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b3ce0848 in tensorflow::FunctionLibraryRuntimeImpl::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x118 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b36daf7c in tensorflow::FunctionHandleCache::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions, unsigned long*) + 0x1ac from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b418449d in tensorflow::data::CapturedFunction::Instantiate(tensorflow::data::InstantiateCapturedFunctionParams, std::unique_ptr<tensorflow::data::InstantiatedCapturedFunction, std::default_delete<tensorflow::data::InstantiatedCapturedFunction> >*) + 0x113d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b4183348 in tensorflow::data::CapturedFunction::Instantiate(tensorflow::data::IteratorContext*, std::unique_ptr<tensorflow::data::InstantiatedCapturedFunction, std::default_delete<tensorflow::data::InstantiatedCapturedFunction> >*) + 0x38 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3a4e1d69e in tensorflow::data::FlatMapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x1de from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe3b36ac9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3a4ea4e3a in tensorflow::data::ZipDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2da from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe3b36ac9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3a6269506 in tensorflow::data::ParallelMapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x186 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe3b36ac9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b36aca3d in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0x15d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b36aca3d in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0x15d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3a7348632 in tensorflow::data::PrefetchDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2d2 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe3b36ac9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3a72cfe81 in tensorflow::data::RootDataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x6b1 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe3b36ac9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3a72beea4 in tensorflow::data::IteratorResource::SetIteratorFromDataset(tensorflow::OpKernelContext*, tensorflow::data::DatasetBase const*) + 0x7a4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe3a72c04b0 in tensorflow::data::MakeIteratorOp::DoCompute(tensorflow::OpKernelContext*) + 0xa0 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe3a72c03e1 in tensorflow::data::HybridAsyncOpKernel::Compute(tensorflow::OpKernelContext*) + 0x21 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe3b3ccd540 in tensorflow::ThreadPoolDevice::Compute(tensorflow::OpKernel*, tensorflow::OpKernelContext*) + 0x50 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b3d86b68 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b3ce50e8 in tensorflow::FunctionLibraryRuntimeImpl::RunSync(tensorflow::FunctionLibraryRuntime::Options, unsigned long, absl::lts_20230125::Span<tensorflow::Tensor const>, std::vector<tensorflow::Tensor, std::allocator<tensorflow::Tensor> >*) + 0x238 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b3cef7c9 in _ZNK10tensorflow29ProcessFunctionLibraryRuntime18RunMultiDeviceSyncERKNS_22FunctionLibraryRuntime7OptionsEmPSt6vectorISt7variantIJNS_6TensorENS_11TensorShapeEEESaIS9_EESt8functionIFN4absl12lts_2023012 + 0x6f9 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b3cf58b2 in tensorflow::ProcessFunctionLibraryRuntime::RunSync(tensorflow::FunctionLibraryRuntime::Options const&, unsigned long, absl::lts_20230125::Span<tensorflow::Tensor const>, std::vector<tensorflow::Tensor, std::allocator<tensorflow::Tensor> >*) const + 0x212 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3a649ab06 in _ZN10tensorflow19KernelAndDeviceFunc3RunEPNS_19ScopedStepContainerERKNS_15EagerKernelArgsEPSt6vectorISt7variantIJNS_6TensorENS_11TensorShapeEEESaISA_EEPN3tsl19CancellationManagerERKSt8optionalINS_19Ea + 0x156 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe39f2d276e in _ZN10tensorflow18EagerKernelExecuteEPNS_12EagerContextERKN4absl12lts_2023012513InlinedVectorIPNS_12TensorHandleELm4ESaIS6_EEERKSt8optionalINS_19EagerFunctionParamsEERKN3tsl4core11RefCountPtrINS_15Kern + 0x22e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe39f2dcc30 in tensorflow::ExecuteNode::Run() + 0x1f0 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe3a6496184 in tensorflow::EagerExecutor::SyncExecute(tensorflow::EagerNode*) + 0xe4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe39f2d213a in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe39f2cfb86 in tensorflow::DoEagerExecute(tensorflow::EagerOperation*, tensorflow::TensorHandle**, int*) + 0x216 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe39f2d3689 in tensorflow::EagerExecute(tensorflow::EagerOperation*, tensorflow::TensorHandle**, int*) + 0x269 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe39f2cf3a7 in tensorflow::EagerOperation::Execute(absl::lts_20230125::Span<tensorflow::AbstractTensorHandle*>, int*) + 0x87 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe3a6494793 in tensorflow::CustomDeviceOpHandler::Execute(tensorflow::ImmediateExecutionOperation*, tensorflow::ImmediateExecutionTensorHandle**, int*) + 0x263 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe3afad8df5 in TFE_Execute + 0x45 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe3b1e1fabd in TFE_Py_FastPathExecute_C(_object*) + 0x286d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../_pywrap_tensorflow_internal.so
0x00007fe381b0c724 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/_pywrap_tfe.so
0x00007fe381aea6df in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/_pywrap_tfe.so
0x00007fe3daad6f22 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3daabec13 in _PyObject_MakeTpCall + 0x2a3 from /lib64/libpython3.9.so.1.0
0x00007fe3daabaade in _PyEval_EvalFrameDefault + 0x5dee from /lib64/libpython3.9.so.1.0
0x00007fe3daab3cd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3daac6395 in _PyFunction_Vectorcall + 0xe5 from /lib64/libpython3.9.so.1.0
0x00007fe3daaba4d7 in _PyEval_EvalFrameDefault + 0x57e7 from /lib64/libpython3.9.so.1.0
0x00007fe3daac668b in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3daab544c in _PyEval_EvalFrameDefault + 0x75c from /lib64/libpython3.9.so.1.0
0x00007fe3daab3cd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3daabe46e in _PyObject_FastCallDictTstate + 0x14e from /lib64/libpython3.9.so.1.0
0x00007fe3daad16bb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3daabec2b in _PyObject_MakeTpCall + 0x2bb from /lib64/libpython3.9.so.1.0
0x00007fe3daabaade in _PyEval_EvalFrameDefault + 0x5dee from /lib64/libpython3.9.so.1.0
0x00007fe3daac668b in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3dab001fb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3daba0be3 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3daac6a18 in PyObject_GetIter + 0x18 from /lib64/libpython3.9.so.1.0
0x00007fe3daac6f20 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3daab5147 in _PyEval_EvalFrameDefault + 0x457 from /lib64/libpython3.9.so.1.0
0x00007fe3daadbb68 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3daab56f9 in _PyEval_EvalFrameDefault + 0xa09 from /lib64/libpython3.9.so.1.0
0x00007fe3daab3cd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3daac6395 in _PyFunction_Vectorcall + 0xe5 from /lib64/libpython3.9.so.1.0
0x00007fe3daad51d1 in PyObject_Call + 0xc1 from /lib64/libpython3.9.so.1.0
0x00007fe3daab859d in _PyEval_EvalFrameDefault + 0x38ad from /lib64/libpython3.9.so.1.0
0x00007fe3daab3cd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3daad49c5 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3daab6183 in _PyEval_EvalFrameDefault + 0x1493 from /lib64/libpython3.9.so.1.0
0x00007fe3daab3cd9 in <unknown> from /lib64/libpython3.9.so.1.0
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0x00007fe3dab68a77 in PyEval_EvalCode + 0x27 from /lib64/libpython3.9.so.1.0
0x00007fe3dab964c4 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3dab925bb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3dab89ca8 in PyRun_StringFlags + 0xa8 from /lib64/libpython3.9.so.1.0
0x00007fe36331da5e in TMVA::PyMethodBase::PyRunString(TString, TString, int) at /github/home/ROOT-CI/src/tmva/pymva/src/PyMethodBase.cxx:327 from /github/home/ROOT-CI/build/lib/libPyMVA.so
0x00007fe3632c38e4 in TMVA::MethodPyKeras::Train() at /github/home/ROOT-CI/src/tmva/pymva/src/MethodPyKeras.cxx:596 (discriminator 5) from /github/home/ROOT-CI/build/lib/libPyMVA.so
0x00007fe3bc56418d in TMVA::MethodBase::TrainMethod() at /github/home/ROOT-CI/src/tmva/tmva/src/MethodBase.cxx:671 from /github/home/ROOT-CI/build/lib/libTMVA.so
0x00007fe3bc51e4c1 in TMVA::Factory::TrainAllMethods() at /github/home/ROOT-CI/src/tmva/tmva/src/Factory.cxx:1174 from /github/home/ROOT-CI/build/lib/libTMVA.so
0x00007fe3da2833c3 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy_backend.so
0x00007fe3da2836b1 in Cppyy::CallV(long, void*, unsigned long, void*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/cppyy-backend/clingwrapper/src/clingwrapper.cxx:855 from /github/home/ROOT-CI/build/lib/libcppyy_backend.so
0x00007fe3bdfa9bc5 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fe3bdfac011 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fe3bdf88b2a in CPyCppyy::CPPMethod::ExecuteFast(void*, long, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx:123 from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fe3bdf88232 in CPyCppyy::CPPMethod::Execute(void*, long, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx:953 from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fe3bdf88484 in CPyCppyy::CPPMethod::Call(CPyCppyy::CPPInstance*&, _object* const*, unsigned long, _object*, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx:1013 from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fe3bdf8db09 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fe3daab544c in _PyEval_EvalFrameDefault + 0x75c from /lib64/libpython3.9.so.1.0
0x00007fe3daac668b in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3daab5147 in _PyEval_EvalFrameDefault + 0x457 from /lib64/libpython3.9.so.1.0
0x00007fe3daab3cd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3daab3945 in _PyEval_EvalCodeWithName + 0x55 from /lib64/libpython3.9.so.1.0
0x00007fe3dab68a77 in PyEval_EvalCode + 0x27 from /lib64/libpython3.9.so.1.0
0x00007fe3dab964c4 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3dab925bb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3daa1cba2 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3dab8be09 in PyRun_SimpleFileExFlags + 0x1b9 from /lib64/libpython3.9.so.1.0
0x00007fe3dab892bf in Py_RunMain + 0x39f from /lib64/libpython3.9.so.1.0
0x00007fe3dab5b4ed in Py_BytesMain + 0x3d from /lib64/libpython3.9.so.1.0
0x00007fe3da7a65d0 in <unknown> from /lib64/libc.so.6
0x00007fe3da7a6680 in __libc_start_main at :? from /lib64/libc.so.6
0x00005586946e9095 in _start + 0x25 from /py-venv/ROOT-CI/bin/python3.9
*** Break *** segmentation violation
Generating stack trace...
0x00007fe3da0499ab in <unknown> from /github/home/ROOT-CI/build/lib/libCore.so
0x00007fe3da7bb730 in <unknown> from /lib64/libc.so.6
0x00007fe3b327b0ad in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b3279a19 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b3279e67 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b327d69e in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b30c48a4 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b3279a2b in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b327bf47 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b327bdb6 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b309e09b in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b2e82882 in tensorflow::grappler::MetaOptimizer::RunOptimizer(tensorflow::grappler::GraphOptimizer*, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem*, tensorflow::GraphDef*, tensorflow::grappler::MetaOptimizer::GraphOptimizationResult*) + 0x392 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b2e8154a in tensorflow::grappler::MetaOptimizer::OptimizeGraph(std::vector<std::unique_ptr<tensorflow::grappler::GraphOptimizer, std::default_delete<tensorflow::grappler::GraphOptimizer> >, std::allocator<std::unique_ptr<tensorflow::grappler::GraphOptimizer, std::default_delete<tensorflow::grappler::GraphOptimizer> > > > const&, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem&&, tensorflow::GraphDef*) + 0x79a from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b2e859a5 in tensorflow::grappler::MetaOptimizer::OptimizeConsumeItem(tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem&&, tensorflow::GraphDef*) + 0x1745 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b2e86fae in tensorflow::grappler::RunMetaOptimizer(tensorflow::grappler::GrapplerItem&&, tensorflow::ConfigProto const&, tensorflow::DeviceBase*, tensorflow::grappler::Cluster*, tensorflow::GraphDef*) + 0x9e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b2e8751f in _ZN10tensorflow8grappler13OptimizeGraphESt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS7_EES9_PNS_25FunctionLibraryDefinitionERKNS_9DeviceSetEPNS_6DeviceERKNS_11ConfigProtoERKS7_RKN + 0x4cf from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b418c37e in _ZSt13__invoke_implIN4absl12lts_202301256StatusERPFS2_St6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS9_EESB_PN10tensorflow25FunctionLibraryDefinitionERKNSC_9DeviceSetEPNSC_6DeviceER + 0x8e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b418c22c in _ZNSt17_Function_handlerIFN4absl12lts_202301256StatusESt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS9_EESB_PN10tensorflow25FunctionLibraryDefinitionERKNSC_9DeviceSetEPNSC_6DeviceEP + 0x2c from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b3d1a146 in _ZN10tensorflow21OptimizeFunctionGraphERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEENS_9AttrSliceERKNS_22FunctionLibraryRuntime18InstantiateOptionsERKNS_9DeviceSetEPKNS_25FunctionLibraryDefin + 0x17f6 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b3d1adae in _ZN10tensorflow40OptimizeFunctionGraphOrReadFromFileCacheERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEENS_9AttrSliceERKNS_22FunctionLibraryRuntime18InstantiateOptionsERKNS_9DeviceSetEPKNS_25F + 0x1fe from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b3ced160 in tensorflow::ProcessFunctionLibraryRuntime::InstantiateMultiDevice(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x830 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b3cf2f86 in tensorflow::ProcessFunctionLibraryRuntime::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x46 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b3ce0848 in tensorflow::FunctionLibraryRuntimeImpl::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x118 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b36daf7c in tensorflow::FunctionHandleCache::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions, unsigned long*) + 0x1ac from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b418449d in tensorflow::data::CapturedFunction::Instantiate(tensorflow::data::InstantiateCapturedFunctionParams, std::unique_ptr<tensorflow::data::InstantiatedCapturedFunction, std::default_delete<tensorflow::data::InstantiatedCapturedFunction> >*) + 0x113d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b4183348 in tensorflow::data::CapturedFunction::Instantiate(tensorflow::data::IteratorContext*, std::unique_ptr<tensorflow::data::InstantiatedCapturedFunction, std::default_delete<tensorflow::data::InstantiatedCapturedFunction> >*) + 0x38 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3a4e1d69e in tensorflow::data::FlatMapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x1de from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe3b36ac9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3a4ea4e3a in tensorflow::data::ZipDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2da from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe3b36ac9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3a6269506 in tensorflow::data::ParallelMapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x186 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe3b36ac9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b36aca3d in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0x15d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b36aca3d in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0x15d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3a7348632 in tensorflow::data::PrefetchDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2d2 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe3b36ac9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3a72cfe81 in tensorflow::data::RootDataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x6b1 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe3b36ac9db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3a72beea4 in tensorflow::data::IteratorResource::SetIteratorFromDataset(tensorflow::OpKernelContext*, tensorflow::data::DatasetBase const*) + 0x7a4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe3a72c04b0 in tensorflow::data::MakeIteratorOp::DoCompute(tensorflow::OpKernelContext*) + 0xa0 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe3a72c03e1 in tensorflow::data::HybridAsyncOpKernel::Compute(tensorflow::OpKernelContext*) + 0x21 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe3b3ccd540 in tensorflow::ThreadPoolDevice::Compute(tensorflow::OpKernel*, tensorflow::OpKernelContext*) + 0x50 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b3d86b68 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b3ce50e8 in tensorflow::FunctionLibraryRuntimeImpl::RunSync(tensorflow::FunctionLibraryRuntime::Options, unsigned long, absl::lts_20230125::Span<tensorflow::Tensor const>, std::vector<tensorflow::Tensor, std::allocator<tensorflow::Tensor> >*) + 0x238 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b3cef7c9 in _ZNK10tensorflow29ProcessFunctionLibraryRuntime18RunMultiDeviceSyncERKNS_22FunctionLibraryRuntime7OptionsEmPSt6vectorISt7variantIJNS_6TensorENS_11TensorShapeEEESaIS9_EESt8functionIFN4absl12lts_2023012 + 0x6f9 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3b3cf58b2 in tensorflow::ProcessFunctionLibraryRuntime::RunSync(tensorflow::FunctionLibraryRuntime::Options const&, unsigned long, absl::lts_20230125::Span<tensorflow::Tensor const>, std::vector<tensorflow::Tensor, std::allocator<tensorflow::Tensor> >*) const + 0x212 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fe3a649ab06 in _ZN10tensorflow19KernelAndDeviceFunc3RunEPNS_19ScopedStepContainerERKNS_15EagerKernelArgsEPSt6vectorISt7variantIJNS_6TensorENS_11TensorShapeEEESaISA_EEPN3tsl19CancellationManagerERKSt8optionalINS_19Ea + 0x156 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe39f2d276e in _ZN10tensorflow18EagerKernelExecuteEPNS_12EagerContextERKN4absl12lts_2023012513InlinedVectorIPNS_12TensorHandleELm4ESaIS6_EEERKSt8optionalINS_19EagerFunctionParamsEERKN3tsl4core11RefCountPtrINS_15Kern + 0x22e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe39f2dcc30 in tensorflow::ExecuteNode::Run() + 0x1f0 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe3a6496184 in tensorflow::EagerExecutor::SyncExecute(tensorflow::EagerNode*) + 0xe4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
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0x00007fe39f2d3689 in tensorflow::EagerExecute(tensorflow::EagerOperation*, tensorflow::TensorHandle**, int*) + 0x269 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe39f2cf3a7 in tensorflow::EagerOperation::Execute(absl::lts_20230125::Span<tensorflow::AbstractTensorHandle*>, int*) + 0x87 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe3a6494793 in tensorflow::CustomDeviceOpHandler::Execute(tensorflow::ImmediateExecutionOperation*, tensorflow::ImmediateExecutionTensorHandle**, int*) + 0x263 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe3afad8df5 in TFE_Execute + 0x45 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fe3b1e1fabd in TFE_Py_FastPathExecute_C(_object*) + 0x286d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../_pywrap_tensorflow_internal.so
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0x00007fe3daac668b in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3daab544c in _PyEval_EvalFrameDefault + 0x75c from /lib64/libpython3.9.so.1.0
0x00007fe3daab3cd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3daabe46e in _PyObject_FastCallDictTstate + 0x14e from /lib64/libpython3.9.so.1.0
0x00007fe3daad16bb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3daabec2b in _PyObject_MakeTpCall + 0x2bb from /lib64/libpython3.9.so.1.0
0x00007fe3daabaade in _PyEval_EvalFrameDefault + 0x5dee from /lib64/libpython3.9.so.1.0
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0x00007fe3daba0be3 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3daac6a18 in PyObject_GetIter + 0x18 from /lib64/libpython3.9.so.1.0
0x00007fe3daac6f20 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3daab5147 in _PyEval_EvalFrameDefault + 0x457 from /lib64/libpython3.9.so.1.0
0x00007fe3daadbb68 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3daab56f9 in _PyEval_EvalFrameDefault + 0xa09 from /lib64/libpython3.9.so.1.0
0x00007fe3daab3cd9 in <unknown> from /lib64/libpython3.9.so.1.0
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0x00007fe3daab3cd9 in <unknown> from /lib64/libpython3.9.so.1.0
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0x00007fe3daab6183 in _PyEval_EvalFrameDefault + 0x1493 from /lib64/libpython3.9.so.1.0
0x00007fe3daab3cd9 in <unknown> from /lib64/libpython3.9.so.1.0
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0x00007fe3dab68a77 in PyEval_EvalCode + 0x27 from /lib64/libpython3.9.so.1.0
0x00007fe3dab964c4 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3dab925bb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3dab89ca8 in PyRun_StringFlags + 0xa8 from /lib64/libpython3.9.so.1.0
0x00007fe36331da5e in TMVA::PyMethodBase::PyRunString(TString, TString, int) at /github/home/ROOT-CI/src/tmva/pymva/src/PyMethodBase.cxx:327 from /github/home/ROOT-CI/build/lib/libPyMVA.so
0x00007fe3632c38e4 in TMVA::MethodPyKeras::Train() at /github/home/ROOT-CI/src/tmva/pymva/src/MethodPyKeras.cxx:596 (discriminator 5) from /github/home/ROOT-CI/build/lib/libPyMVA.so
0x00007fe3bc56418d in TMVA::MethodBase::TrainMethod() at /github/home/ROOT-CI/src/tmva/tmva/src/MethodBase.cxx:671 from /github/home/ROOT-CI/build/lib/libTMVA.so
0x00007fe3bc51e4c1 in TMVA::Factory::TrainAllMethods() at /github/home/ROOT-CI/src/tmva/tmva/src/Factory.cxx:1174 from /github/home/ROOT-CI/build/lib/libTMVA.so
0x00007fe3da2833c3 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy_backend.so
0x00007fe3da2836b1 in Cppyy::CallV(long, void*, unsigned long, void*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/cppyy-backend/clingwrapper/src/clingwrapper.cxx:855 from /github/home/ROOT-CI/build/lib/libcppyy_backend.so
0x00007fe3bdfa9bc5 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fe3bdfac011 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fe3bdf88b2a in CPyCppyy::CPPMethod::ExecuteFast(void*, long, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx:123 from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fe3bdf88232 in CPyCppyy::CPPMethod::Execute(void*, long, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx:953 from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fe3bdf88484 in CPyCppyy::CPPMethod::Call(CPyCppyy::CPPInstance*&, _object* const*, unsigned long, _object*, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx:1013 from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fe3bdf8db09 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fe3daab544c in _PyEval_EvalFrameDefault + 0x75c from /lib64/libpython3.9.so.1.0
0x00007fe3daac668b in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3daab5147 in _PyEval_EvalFrameDefault + 0x457 from /lib64/libpython3.9.so.1.0
0x00007fe3daab3cd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3daab3945 in _PyEval_EvalCodeWithName + 0x55 from /lib64/libpython3.9.so.1.0
0x00007fe3dab68a77 in PyEval_EvalCode + 0x27 from /lib64/libpython3.9.so.1.0
0x00007fe3dab964c4 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3dab925bb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3daa1cba2 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fe3dab8be09 in PyRun_SimpleFileExFlags + 0x1b9 from /lib64/libpython3.9.so.1.0
0x00007fe3dab892bf in Py_RunMain + 0x39f from /lib64/libpython3.9.so.1.0
0x00007fe3dab5b4ed in Py_BytesMain + 0x3d from /lib64/libpython3.9.so.1.0
0x00007fe3da7a65d0 in <unknown> from /lib64/libc.so.6
0x00007fe3da7a6680 in __libc_start_main at :? from /lib64/libc.so.6
0x00005586946e9095 in _start + 0x25 from /py-venv/ROOT-CI/bin/python3.9
CMake Error at /github/home/ROOT-CI/build/RootTestDriver.cmake:232 (message):
error code: 129
Check warning on line 0 in tutorial-tmva-keras-RegressionKeras-py
github-actions / Test Results
1 out of 8 runs failed: tutorial-tmva-keras-RegressionKeras-py (tutorial-tmva-keras-RegressionKeras-py)
artifacts/Test Results alma9/TestResults.xml [took 25s]
Raw output
Error regular expression found in output. Regex=[segmentation violation]
2024-11-30 23:17:15.101236: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-11-30 23:17:15.157261: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-11-30 23:17:15.157315: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-11-30 23:17:15.158577: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-11-30 23:17:15.171857: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-11-30 23:17:16.913021: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
return self._float_to_str(self.smallest_subnormal)
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/py-venv/ROOT-CI/lib64/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
return self._float_to_str(self.smallest_subnormal)
/py-venv/ROOT-CI/lib64/python3.9/site-packages/keras/src/engine/training.py:3103: UserWarning: You are saving your model as an HDF5 file via `model.save()`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')`.
saving_api.save_model(
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense (Dense) (None, 64) 192
dense_1 (Dense) (None, 1) 65
=================================================================
Total params: 257 (1.00 KB)
Trainable params: 257 (1.00 KB)
Non-trainable params: 0 (0.00 Byte)
_________________________________________________________________
DataSetInfo : [dataset] : Added class "Regression"
: Add Tree TreeR of type Regression with 10000 events
: Dataset[dataset] : Class index : 0 name : Regression
Factory : Booking method: [NON-XML-CHAR-0x1B][1mPyKeras[NON-XML-CHAR-0x1B][0m
:
PyKeras : [dataset] : Create Transformation "D" with events from all classes.
:
: Transformation, Variable selection :
: Input : variable 'var1' <---> Output : variable 'var1'
: Input : variable 'var2' <---> Output : variable 'var2'
PyKeras : [dataset] : Create Transformation "G" with events from all classes.
:
: Transformation, Variable selection :
: Input : variable 'var1' <---> Output : variable 'var1'
: Input : variable 'var2' <---> Output : variable 'var2'
: Setting up tf.keras
: Using TensorFlow version 2
: Use Keras version from TensorFlow : tf.keras
: Loading Keras Model
: Loaded model from file: modelRegression.h5
Factory : Booking method: [NON-XML-CHAR-0x1B][1mBDTG[NON-XML-CHAR-0x1B][0m
:
BDTG : [dataset] : Create Transformation "D" with events from all classes.
:
: Transformation, Variable selection :
: Input : variable 'var1' <---> Output : variable 'var1'
: Input : variable 'var2' <---> Output : variable 'var2'
BDTG : [dataset] : Create Transformation "G" with events from all classes.
:
: Transformation, Variable selection :
: Input : variable 'var1' <---> Output : variable 'var1'
: Input : variable 'var2' <---> Output : variable 'var2'
: the option NegWeightTreatment=InverseBoostNegWeights does not exist for BoostType=Grad
: --> change to new default NegWeightTreatment=Pray
: Rebuilding Dataset dataset
: Building event vectors for type 2 Regression
: Dataset[dataset] : create input formulas for tree TreeR
DataSetFactory : [dataset] : Number of events in input trees
:
: Number of training and testing events
: ---------------------------------------------------------------------------
: Regression -- training events : 1000
: Regression -- testing events : 9000
: Regression -- training and testing events: 10000
:
DataSetInfo : Correlation matrix (Regression):
: ------------------------
: var1 var2
: var1: +1.000 +0.012
: var2: +0.012 +1.000
: ------------------------
DataSetFactory : [dataset] :
:
Factory : [NON-XML-CHAR-0x1B][1mTrain all methods[NON-XML-CHAR-0x1B][0m
Factory : [dataset] : Create Transformation "D" with events from all classes.
:
: Transformation, Variable selection :
: Input : variable 'var1' <---> Output : variable 'var1'
: Input : variable 'var2' <---> Output : variable 'var2'
Factory : [dataset] : Create Transformation "G" with events from all classes.
:
: Transformation, Variable selection :
: Input : variable 'var1' <---> Output : variable 'var1'
: Input : variable 'var2' <---> Output : variable 'var2'
: Preparing the Decorrelation transformation...
: Preparing the Gaussian transformation...
TFHandler_Factory : Variable Mean RMS [ Min Max ]
: -----------------------------------------------------------
: var1: 0.062380 1.0529 [ -2.4453 5.7307 ]
: var2: 0.063535 1.0554 [ -2.4455 5.7307 ]
: fvalue: 133.59 83.265 [ 1.8147 358.73 ]
: -----------------------------------------------------------
Factory : Train method: PyKeras for Regression
:
:
: [NON-XML-CHAR-0x1B][1m================================================================[NON-XML-CHAR-0x1B][0m
: [NON-XML-CHAR-0x1B][1mH e l p f o r M V A m e t h o d [ PyKeras ] :[NON-XML-CHAR-0x1B][0m
:
: Keras is a high-level API for the Theano and Tensorflow packages.
: This method wraps the training and predictions steps of the Keras
: Python package for TMVA, so that dataloading, preprocessing and
: evaluation can be done within the TMVA system. To use this Keras
: interface, you have to generate a model with Keras first. Then,
: this model can be loaded and trained in TMVA.
:
:
: <Suppress this message by specifying "!H" in the booking option>
: [NON-XML-CHAR-0x1B][1m================================================================[NON-XML-CHAR-0x1B][0m
:
: Preparing the Decorrelation transformation...
: Preparing the Gaussian transformation...
TFHandler_PyKeras : Variable Mean RMS [ Min Max ]
: -----------------------------------------------------------
: var1: 0.062380 1.0529 [ -2.4453 5.7307 ]
: var2: 0.063535 1.0554 [ -2.4455 5.7307 ]
: fvalue: 133.59 83.265 [ 1.8147 358.73 ]
: -----------------------------------------------------------
TFHandler_PyKeras : Variable Mean RMS [ Min Max ]
: -----------------------------------------------------------
: var1: 0.062380 1.0529 [ -2.4453 5.7307 ]
: var2: 0.063535 1.0554 [ -2.4455 5.7307 ]
: fvalue: 133.59 83.265 [ 1.8147 358.73 ]
: -----------------------------------------------------------
: Split TMVA training data in 800 training events and 200 validation events
: Training Model Summary
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense (Dense) (None, 64) 192
dense_1 (Dense) (None, 1) 65
=================================================================
Total params: 257 (1.00 KB)
Trainable params: 257 (1.00 KB)
Non-trainable params: 0 (0.00 Byte)
_________________________________________________________________
: Option SaveBestOnly: Only model weights with smallest validation loss will be stored
*** Break *** segmentation violation
Generating stack trace...
0x00007fadb633d9ab in <unknown> from /github/home/ROOT-CI/build/lib/libCore.so
0x00007fadb6aaf730 in <unknown> from /lib64/libc.so.6
0x00007fad8f56f0ad in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f56da19 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f56de67 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f57169e in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f3b88a4 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f56da2b in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f56ff47 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f56fdb6 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f39209b in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f176882 in tensorflow::grappler::MetaOptimizer::RunOptimizer(tensorflow::grappler::GraphOptimizer*, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem*, tensorflow::GraphDef*, tensorflow::grappler::MetaOptimizer::GraphOptimizationResult*) + 0x392 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f17554a in tensorflow::grappler::MetaOptimizer::OptimizeGraph(std::vector<std::unique_ptr<tensorflow::grappler::GraphOptimizer, std::default_delete<tensorflow::grappler::GraphOptimizer> >, std::allocator<std::unique_ptr<tensorflow::grappler::GraphOptimizer, std::default_delete<tensorflow::grappler::GraphOptimizer> > > > const&, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem&&, tensorflow::GraphDef*) + 0x79a from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f1799a5 in tensorflow::grappler::MetaOptimizer::OptimizeConsumeItem(tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem&&, tensorflow::GraphDef*) + 0x1745 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f17afae in tensorflow::grappler::RunMetaOptimizer(tensorflow::grappler::GrapplerItem&&, tensorflow::ConfigProto const&, tensorflow::DeviceBase*, tensorflow::grappler::Cluster*, tensorflow::GraphDef*) + 0x9e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f17b51f in _ZN10tensorflow8grappler13OptimizeGraphESt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS7_EES9_PNS_25FunctionLibraryDefinitionERKNS_9DeviceSetEPNS_6DeviceERKNS_11ConfigProtoERKS7_RKN + 0x4cf from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad9048037e in _ZSt13__invoke_implIN4absl12lts_202301256StatusERPFS2_St6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS9_EESB_PN10tensorflow25FunctionLibraryDefinitionERKNSC_9DeviceSetEPNSC_6DeviceER + 0x8e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad9048022c in _ZNSt17_Function_handlerIFN4absl12lts_202301256StatusESt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS9_EESB_PN10tensorflow25FunctionLibraryDefinitionERKNSC_9DeviceSetEPNSC_6DeviceEP + 0x2c from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad9000e146 in _ZN10tensorflow21OptimizeFunctionGraphERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEENS_9AttrSliceERKNS_22FunctionLibraryRuntime18InstantiateOptionsERKNS_9DeviceSetEPKNS_25FunctionLibraryDefin + 0x17f6 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad9000edae in _ZN10tensorflow40OptimizeFunctionGraphOrReadFromFileCacheERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEENS_9AttrSliceERKNS_22FunctionLibraryRuntime18InstantiateOptionsERKNS_9DeviceSetEPKNS_25F + 0x1fe from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8ffe1160 in tensorflow::ProcessFunctionLibraryRuntime::InstantiateMultiDevice(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x830 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8ffe6f86 in tensorflow::ProcessFunctionLibraryRuntime::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x46 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8ffd4848 in tensorflow::FunctionLibraryRuntimeImpl::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x118 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f9cef7c in tensorflow::FunctionHandleCache::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions, unsigned long*) + 0x1ac from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad9047849d in tensorflow::data::CapturedFunction::Instantiate(tensorflow::data::InstantiateCapturedFunctionParams, std::unique_ptr<tensorflow::data::InstantiatedCapturedFunction, std::default_delete<tensorflow::data::InstantiatedCapturedFunction> >*) + 0x113d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad90477348 in tensorflow::data::CapturedFunction::Instantiate(tensorflow::data::IteratorContext*, std::unique_ptr<tensorflow::data::InstantiatedCapturedFunction, std::default_delete<tensorflow::data::InstantiatedCapturedFunction> >*) + 0x38 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8255d54b in tensorflow::data::ParallelMapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x1cb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad8f9a09db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f9a0a3d in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0x15d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f9a0a3d in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0x15d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8363c632 in tensorflow::data::PrefetchDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2d2 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad8f9a09db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad835c3e81 in tensorflow::data::RootDataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x6b1 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad8f9a09db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad835b2ea4 in tensorflow::data::IteratorResource::SetIteratorFromDataset(tensorflow::OpKernelContext*, tensorflow::data::DatasetBase const*) + 0x7a4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad835b44b0 in tensorflow::data::MakeIteratorOp::DoCompute(tensorflow::OpKernelContext*) + 0xa0 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad835b43e1 in tensorflow::data::HybridAsyncOpKernel::Compute(tensorflow::OpKernelContext*) + 0x21 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad8ffc1540 in tensorflow::ThreadPoolDevice::Compute(tensorflow::OpKernel*, tensorflow::OpKernelContext*) + 0x50 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad9007ab68 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8ffd90e8 in tensorflow::FunctionLibraryRuntimeImpl::RunSync(tensorflow::FunctionLibraryRuntime::Options, unsigned long, absl::lts_20230125::Span<tensorflow::Tensor const>, std::vector<tensorflow::Tensor, std::allocator<tensorflow::Tensor> >*) + 0x238 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8ffe37c9 in _ZNK10tensorflow29ProcessFunctionLibraryRuntime18RunMultiDeviceSyncERKNS_22FunctionLibraryRuntime7OptionsEmPSt6vectorISt7variantIJNS_6TensorENS_11TensorShapeEEESaIS9_EESt8functionIFN4absl12lts_2023012 + 0x6f9 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8ffe98b2 in tensorflow::ProcessFunctionLibraryRuntime::RunSync(tensorflow::FunctionLibraryRuntime::Options const&, unsigned long, absl::lts_20230125::Span<tensorflow::Tensor const>, std::vector<tensorflow::Tensor, std::allocator<tensorflow::Tensor> >*) const + 0x212 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8278eb06 in _ZN10tensorflow19KernelAndDeviceFunc3RunEPNS_19ScopedStepContainerERKNS_15EagerKernelArgsEPSt6vectorISt7variantIJNS_6TensorENS_11TensorShapeEEESaISA_EEPN3tsl19CancellationManagerERKSt8optionalINS_19Ea + 0x156 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad7b5c676e in _ZN10tensorflow18EagerKernelExecuteEPNS_12EagerContextERKN4absl12lts_2023012513InlinedVectorIPNS_12TensorHandleELm4ESaIS6_EEERKSt8optionalINS_19EagerFunctionParamsEERKN3tsl4core11RefCountPtrINS_15Kern + 0x22e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad7b5d0c30 in tensorflow::ExecuteNode::Run() + 0x1f0 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad8278a184 in tensorflow::EagerExecutor::SyncExecute(tensorflow::EagerNode*) + 0xe4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad7b5c613a in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad7b5c3b86 in tensorflow::DoEagerExecute(tensorflow::EagerOperation*, tensorflow::TensorHandle**, int*) + 0x216 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad7b5c7689 in tensorflow::EagerExecute(tensorflow::EagerOperation*, tensorflow::TensorHandle**, int*) + 0x269 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad7b5c33a7 in tensorflow::EagerOperation::Execute(absl::lts_20230125::Span<tensorflow::AbstractTensorHandle*>, int*) + 0x87 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad82788793 in tensorflow::CustomDeviceOpHandler::Execute(tensorflow::ImmediateExecutionOperation*, tensorflow::ImmediateExecutionTensorHandle**, int*) + 0x263 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad8bdccdf5 in TFE_Execute + 0x45 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad8e113abd in TFE_Py_FastPathExecute_C(_object*) + 0x286d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../_pywrap_tensorflow_internal.so
0x00007fad5de00724 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/_pywrap_tfe.so
0x00007fad5ddde6df in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/_pywrap_tfe.so
0x00007fadb6dcaf22 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fadb6db2c13 in _PyObject_MakeTpCall + 0x2a3 from /lib64/libpython3.9.so.1.0
0x00007fadb6daeade in _PyEval_EvalFrameDefault + 0x5dee from /lib64/libpython3.9.so.1.0
0x00007fadb6da7cd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fadb6dba395 in _PyFunction_Vectorcall + 0xe5 from /lib64/libpython3.9.so.1.0
0x00007fadb6dae4d7 in _PyEval_EvalFrameDefault + 0x57e7 from /lib64/libpython3.9.so.1.0
0x00007fadb6dba68b in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fadb6da944c in _PyEval_EvalFrameDefault + 0x75c from /lib64/libpython3.9.so.1.0
0x00007fadb6da7cd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fadb6db246e in _PyObject_FastCallDictTstate + 0x14e from /lib64/libpython3.9.so.1.0
0x00007fadb6dc56bb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fadb6db2c2b in _PyObject_MakeTpCall + 0x2bb from /lib64/libpython3.9.so.1.0
0x00007fadb6daeade in _PyEval_EvalFrameDefault + 0x5dee from /lib64/libpython3.9.so.1.0
0x00007fadb6dba68b in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fadb6df41fb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fadb6e94be3 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fadb6dbaa18 in PyObject_GetIter + 0x18 from /lib64/libpython3.9.so.1.0
0x00007fadb6dbaf20 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fadb6da9147 in _PyEval_EvalFrameDefault + 0x457 from /lib64/libpython3.9.so.1.0
0x00007fadb6dcfb68 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fadb6da96f9 in _PyEval_EvalFrameDefault + 0xa09 from /lib64/libpython3.9.so.1.0
0x00007fadb6da7cd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fadb6dba395 in _PyFunction_Vectorcall + 0xe5 from /lib64/libpython3.9.so.1.0
0x00007fadb6dc91d1 in PyObject_Call + 0xc1 from /lib64/libpython3.9.so.1.0
0x00007fadb6dac59d in _PyEval_EvalFrameDefault + 0x38ad from /lib64/libpython3.9.so.1.0
0x00007fadb6da7cd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fadb6dc89c5 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fadb6daa183 in _PyEval_EvalFrameDefault + 0x1493 from /lib64/libpython3.9.so.1.0
0x00007fadb6da7cd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fadb6da7945 in _PyEval_EvalCodeWithName + 0x55 from /lib64/libpython3.9.so.1.0
0x00007fadb6e5ca77 in PyEval_EvalCode + 0x27 from /lib64/libpython3.9.so.1.0
0x00007fadb6e8a4c4 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fadb6e865bb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fadb6e7dca8 in PyRun_StringFlags + 0xa8 from /lib64/libpython3.9.so.1.0
0x00007fad50833a5e in TMVA::PyMethodBase::PyRunString(TString, TString, int) at /github/home/ROOT-CI/src/tmva/pymva/src/PyMethodBase.cxx:327 from /github/home/ROOT-CI/build/lib/libPyMVA.so
0x00007fad507d98e4 in TMVA::MethodPyKeras::Train() at /github/home/ROOT-CI/src/tmva/pymva/src/MethodPyKeras.cxx:596 (discriminator 5) from /github/home/ROOT-CI/build/lib/libPyMVA.so
0x00007fad9885818d in TMVA::MethodBase::TrainMethod() at /github/home/ROOT-CI/src/tmva/tmva/src/MethodBase.cxx:671 from /github/home/ROOT-CI/build/lib/libTMVA.so
0x00007fad988124c1 in TMVA::Factory::TrainAllMethods() at /github/home/ROOT-CI/src/tmva/tmva/src/Factory.cxx:1174 from /github/home/ROOT-CI/build/lib/libTMVA.so
0x00007fadb65773c3 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy_backend.so
0x00007fadb65776b1 in Cppyy::CallV(long, void*, unsigned long, void*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/cppyy-backend/clingwrapper/src/clingwrapper.cxx:855 from /github/home/ROOT-CI/build/lib/libcppyy_backend.so
0x00007fad9a29dbc5 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fad9a2a0011 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fad9a27cb2a in CPyCppyy::CPPMethod::ExecuteFast(void*, long, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx:123 from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fad9a27c232 in CPyCppyy::CPPMethod::Execute(void*, long, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx:953 from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fad9a27c484 in CPyCppyy::CPPMethod::Call(CPyCppyy::CPPInstance*&, _object* const*, unsigned long, _object*, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx:1013 from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fad9a281b09 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fadb6da944c in _PyEval_EvalFrameDefault + 0x75c from /lib64/libpython3.9.so.1.0
0x00007fadb6dba68b in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fadb6da9147 in _PyEval_EvalFrameDefault + 0x457 from /lib64/libpython3.9.so.1.0
0x00007fadb6da7cd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fadb6da7945 in _PyEval_EvalCodeWithName + 0x55 from /lib64/libpython3.9.so.1.0
0x00007fadb6e5ca77 in PyEval_EvalCode + 0x27 from /lib64/libpython3.9.so.1.0
0x00007fadb6e8a4c4 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fadb6e865bb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fadb6d10ba2 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fadb6e7fe09 in PyRun_SimpleFileExFlags + 0x1b9 from /lib64/libpython3.9.so.1.0
0x00007fadb6e7d2bf in Py_RunMain + 0x39f from /lib64/libpython3.9.so.1.0
0x00007fadb6e4f4ed in Py_BytesMain + 0x3d from /lib64/libpython3.9.so.1.0
0x00007fadb6a9a5d0 in <unknown> from /lib64/libc.so.6
0x00007fadb6a9a680 in __libc_start_main at :? from /lib64/libc.so.6
0x000055ab28cb5095 in _start + 0x25 from /py-venv/ROOT-CI/bin/python3.9
*** Break *** segmentation violation
Generating stack trace...
0x00007fadb633d9ab in <unknown> from /github/home/ROOT-CI/build/lib/libCore.so
0x00007fadb6aaf730 in <unknown> from /lib64/libc.so.6
0x00007fad8f56f0ad in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f56da19 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f56de67 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f57169e in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f3b88a4 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f56da2b in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f56ff47 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f56fdb6 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f39209b in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f176882 in tensorflow::grappler::MetaOptimizer::RunOptimizer(tensorflow::grappler::GraphOptimizer*, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem*, tensorflow::GraphDef*, tensorflow::grappler::MetaOptimizer::GraphOptimizationResult*) + 0x392 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f17554a in tensorflow::grappler::MetaOptimizer::OptimizeGraph(std::vector<std::unique_ptr<tensorflow::grappler::GraphOptimizer, std::default_delete<tensorflow::grappler::GraphOptimizer> >, std::allocator<std::unique_ptr<tensorflow::grappler::GraphOptimizer, std::default_delete<tensorflow::grappler::GraphOptimizer> > > > const&, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem&&, tensorflow::GraphDef*) + 0x79a from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f1799a5 in tensorflow::grappler::MetaOptimizer::OptimizeConsumeItem(tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem&&, tensorflow::GraphDef*) + 0x1745 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f17afae in tensorflow::grappler::RunMetaOptimizer(tensorflow::grappler::GrapplerItem&&, tensorflow::ConfigProto const&, tensorflow::DeviceBase*, tensorflow::grappler::Cluster*, tensorflow::GraphDef*) + 0x9e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f17b51f in _ZN10tensorflow8grappler13OptimizeGraphESt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS7_EES9_PNS_25FunctionLibraryDefinitionERKNS_9DeviceSetEPNS_6DeviceERKNS_11ConfigProtoERKS7_RKN + 0x4cf from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad9048037e in _ZSt13__invoke_implIN4absl12lts_202301256StatusERPFS2_St6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS9_EESB_PN10tensorflow25FunctionLibraryDefinitionERKNSC_9DeviceSetEPNSC_6DeviceER + 0x8e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad9048022c in _ZNSt17_Function_handlerIFN4absl12lts_202301256StatusESt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS9_EESB_PN10tensorflow25FunctionLibraryDefinitionERKNSC_9DeviceSetEPNSC_6DeviceEP + 0x2c from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad9000e146 in _ZN10tensorflow21OptimizeFunctionGraphERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEENS_9AttrSliceERKNS_22FunctionLibraryRuntime18InstantiateOptionsERKNS_9DeviceSetEPKNS_25FunctionLibraryDefin + 0x17f6 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad9000edae in _ZN10tensorflow40OptimizeFunctionGraphOrReadFromFileCacheERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEENS_9AttrSliceERKNS_22FunctionLibraryRuntime18InstantiateOptionsERKNS_9DeviceSetEPKNS_25F + 0x1fe from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8ffe1160 in tensorflow::ProcessFunctionLibraryRuntime::InstantiateMultiDevice(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x830 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8ffe6f86 in tensorflow::ProcessFunctionLibraryRuntime::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x46 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8ffd4848 in tensorflow::FunctionLibraryRuntimeImpl::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions const&, unsigned long*) + 0x118 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f9cef7c in tensorflow::FunctionHandleCache::Instantiate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tensorflow::AttrSlice, tensorflow::FunctionLibraryRuntime::InstantiateOptions, unsigned long*) + 0x1ac from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad9047849d in tensorflow::data::CapturedFunction::Instantiate(tensorflow::data::InstantiateCapturedFunctionParams, std::unique_ptr<tensorflow::data::InstantiatedCapturedFunction, std::default_delete<tensorflow::data::InstantiatedCapturedFunction> >*) + 0x113d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad90477348 in tensorflow::data::CapturedFunction::Instantiate(tensorflow::data::IteratorContext*, std::unique_ptr<tensorflow::data::InstantiatedCapturedFunction, std::default_delete<tensorflow::data::InstantiatedCapturedFunction> >*) + 0x38 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8255d54b in tensorflow::data::ParallelMapDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x1cb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad8f9a09db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f9a0a3d in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0x15d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8f9a0a3d in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0x15d from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8363c632 in tensorflow::data::PrefetchDatasetOp::Dataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x2d2 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad8f9a09db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad835c3e81 in tensorflow::data::RootDataset::Iterator::Initialize(tensorflow::data::IteratorContext*) + 0x6b1 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad8f9a09db in tensorflow::data::DatasetBase::MakeIterator(tensorflow::data::IteratorContext*, tensorflow::data::IteratorBase const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unique_ptr<tensorflow::data::IteratorBase, std::default_delete<tensorflow::data::IteratorBase> >*) const + 0xfb from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad835b2ea4 in tensorflow::data::IteratorResource::SetIteratorFromDataset(tensorflow::OpKernelContext*, tensorflow::data::DatasetBase const*) + 0x7a4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad835b44b0 in tensorflow::data::MakeIteratorOp::DoCompute(tensorflow::OpKernelContext*) + 0xa0 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad835b43e1 in tensorflow::data::HybridAsyncOpKernel::Compute(tensorflow::OpKernelContext*) + 0x21 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad8ffc1540 in tensorflow::ThreadPoolDevice::Compute(tensorflow::OpKernel*, tensorflow::OpKernelContext*) + 0x50 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad9007ab68 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8ffd90e8 in tensorflow::FunctionLibraryRuntimeImpl::RunSync(tensorflow::FunctionLibraryRuntime::Options, unsigned long, absl::lts_20230125::Span<tensorflow::Tensor const>, std::vector<tensorflow::Tensor, std::allocator<tensorflow::Tensor> >*) + 0x238 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
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0x00007fad8ffe98b2 in tensorflow::ProcessFunctionLibraryRuntime::RunSync(tensorflow::FunctionLibraryRuntime::Options const&, unsigned long, absl::lts_20230125::Span<tensorflow::Tensor const>, std::vector<tensorflow::Tensor, std::allocator<tensorflow::Tensor> >*) const + 0x212 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_framework.so.2
0x00007fad8278eb06 in _ZN10tensorflow19KernelAndDeviceFunc3RunEPNS_19ScopedStepContainerERKNS_15EagerKernelArgsEPSt6vectorISt7variantIJNS_6TensorENS_11TensorShapeEEESaISA_EEPN3tsl19CancellationManagerERKSt8optionalINS_19Ea + 0x156 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad7b5c676e in _ZN10tensorflow18EagerKernelExecuteEPNS_12EagerContextERKN4absl12lts_2023012513InlinedVectorIPNS_12TensorHandleELm4ESaIS6_EEERKSt8optionalINS_19EagerFunctionParamsEERKN3tsl4core11RefCountPtrINS_15Kern + 0x22e from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad7b5d0c30 in tensorflow::ExecuteNode::Run() + 0x1f0 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad8278a184 in tensorflow::EagerExecutor::SyncExecute(tensorflow::EagerNode*) + 0xe4 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad7b5c613a in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad7b5c3b86 in tensorflow::DoEagerExecute(tensorflow::EagerOperation*, tensorflow::TensorHandle**, int*) + 0x216 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad7b5c7689 in tensorflow::EagerExecute(tensorflow::EagerOperation*, tensorflow::TensorHandle**, int*) + 0x269 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad7b5c33a7 in tensorflow::EagerOperation::Execute(absl::lts_20230125::Span<tensorflow::AbstractTensorHandle*>, int*) + 0x87 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad82788793 in tensorflow::CustomDeviceOpHandler::Execute(tensorflow::ImmediateExecutionOperation*, tensorflow::ImmediateExecutionTensorHandle**, int*) + 0x263 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
0x00007fad8bdccdf5 in TFE_Execute + 0x45 from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2
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0x00007fad5de00724 in <unknown> from /py-venv/ROOT-CI/lib64/python3.9/site-packages/tensorflow/python/_pywrap_tfe.so
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0x00007fadb6dcaf22 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fadb6db2c13 in _PyObject_MakeTpCall + 0x2a3 from /lib64/libpython3.9.so.1.0
0x00007fadb6daeade in _PyEval_EvalFrameDefault + 0x5dee from /lib64/libpython3.9.so.1.0
0x00007fadb6da7cd9 in <unknown> from /lib64/libpython3.9.so.1.0
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0x00007fadb6dba68b in <unknown> from /lib64/libpython3.9.so.1.0
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0x00007fadb6db246e in _PyObject_FastCallDictTstate + 0x14e from /lib64/libpython3.9.so.1.0
0x00007fadb6dc56bb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fadb6db2c2b in _PyObject_MakeTpCall + 0x2bb from /lib64/libpython3.9.so.1.0
0x00007fadb6daeade in _PyEval_EvalFrameDefault + 0x5dee from /lib64/libpython3.9.so.1.0
0x00007fadb6dba68b in <unknown> from /lib64/libpython3.9.so.1.0
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0x00007fadb6dbaa18 in PyObject_GetIter + 0x18 from /lib64/libpython3.9.so.1.0
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0x00007fadb6dac59d in _PyEval_EvalFrameDefault + 0x38ad from /lib64/libpython3.9.so.1.0
0x00007fadb6da7cd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fadb6dc89c5 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fadb6daa183 in _PyEval_EvalFrameDefault + 0x1493 from /lib64/libpython3.9.so.1.0
0x00007fadb6da7cd9 in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fadb6da7945 in _PyEval_EvalCodeWithName + 0x55 from /lib64/libpython3.9.so.1.0
0x00007fadb6e5ca77 in PyEval_EvalCode + 0x27 from /lib64/libpython3.9.so.1.0
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0x00007fadb6e865bb in <unknown> from /lib64/libpython3.9.so.1.0
0x00007fadb6e7dca8 in PyRun_StringFlags + 0xa8 from /lib64/libpython3.9.so.1.0
0x00007fad50833a5e in TMVA::PyMethodBase::PyRunString(TString, TString, int) at /github/home/ROOT-CI/src/tmva/pymva/src/PyMethodBase.cxx:327 from /github/home/ROOT-CI/build/lib/libPyMVA.so
0x00007fad507d98e4 in TMVA::MethodPyKeras::Train() at /github/home/ROOT-CI/src/tmva/pymva/src/MethodPyKeras.cxx:596 (discriminator 5) from /github/home/ROOT-CI/build/lib/libPyMVA.so
0x00007fad9885818d in TMVA::MethodBase::TrainMethod() at /github/home/ROOT-CI/src/tmva/tmva/src/MethodBase.cxx:671 from /github/home/ROOT-CI/build/lib/libTMVA.so
0x00007fad988124c1 in TMVA::Factory::TrainAllMethods() at /github/home/ROOT-CI/src/tmva/tmva/src/Factory.cxx:1174 from /github/home/ROOT-CI/build/lib/libTMVA.so
0x00007fadb65773c3 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy_backend.so
0x00007fadb65776b1 in Cppyy::CallV(long, void*, unsigned long, void*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/cppyy-backend/clingwrapper/src/clingwrapper.cxx:855 from /github/home/ROOT-CI/build/lib/libcppyy_backend.so
0x00007fad9a29dbc5 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fad9a2a0011 in <unknown> from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fad9a27cb2a in CPyCppyy::CPPMethod::ExecuteFast(void*, long, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx:123 from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fad9a27c232 in CPyCppyy::CPPMethod::Execute(void*, long, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx:953 from /github/home/ROOT-CI/build/lib/libcppyy.so
0x00007fad9a27c484 in CPyCppyy::CPPMethod::Call(CPyCppyy::CPPInstance*&, _object* const*, unsigned long, _object*, CPyCppyy::CallContext*) at /github/home/ROOT-CI/src/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx:1013 from /github/home/ROOT-CI/build/lib/libcppyy.so
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0x00007fadb6a9a5d0 in <unknown> from /lib64/libc.so.6
0x00007fadb6a9a680 in __libc_start_main at :? from /lib64/libc.so.6
0x000055ab28cb5095 in _start + 0x25 from /py-venv/ROOT-CI/bin/python3.9
CMake Error at /github/home/ROOT-CI/build/RootTestDriver.cmake:232 (message):
error code: 129
Check warning on line 0 in clingtest-check-cling
github-actions / Test Results
All 4 runs failed: clingtest-check-cling (clingtest-check-cling)
artifacts/Test Results Windows x64 Release/TestResults.xml [took 1s]
artifacts/Test Results Windows x86 Release/TestResults.xml [took 2s]
artifacts/Test Results alma9/TestResults.xml [took 7m 2s]
artifacts/Test Results mac-beta ARM64/TestResults.xml [took 9m 5s]
Raw output
Failed
MSBuild version 17.9.5+33de0b227 for .NET Framework
MSBUILD : error MSB1009: Project file does not exist.
Switch: check-cling.vcxproj
CMake Error at C:/ROOT-CI/src/cmake/modules/RootTestDriver.cmake:232 (message):
error code: 1
Check notice on line 0 in .github
github-actions / Test Results
1 skipped test found
There is 1 skipped test, see "Raw output" for the name of the skipped test.
Raw output
TMVA-DNN-LSTM-BackpropagationCudnn ‑ TMVA-DNN-LSTM-BackpropagationCudnn
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