NotFoundError #17
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I've found the problem. |
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So Tensorflow 1.0.0 should be installed when generating the model? I tried using Tensorflow 1.2.1 but it doesn't seem to want to use my GPU. Would I have to downgrade CUDA? If so, to what version? CUDA 8.0? I've been trying trial an error the past 2 days and can't seem to get over this hurdle. Having the same exact issue as OP |
easly installation cuda and cnndn https://github.com/noorkhokhar99/Installation-window-10-tensorflow-Gpu/blob/master/cmd |
python reduce_model.py --model-input /home/virgil/Desktop/F2F/pix2pix-tensorflow/face2face-model --model-output face2face-reduced-model
2018-03-18 15:21:21.466217: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:898] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2018-03-18 15:21:21.466534: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties:
name: GeForce GTX 970 major: 5 minor: 2 memoryClockRate(GHz): 1.253
pciBusID: 0000:01:00.0
totalMemory: 3.95GiB freeMemory: 3.70GiB
2018-03-18 15:21:21.466552: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0
2018-03-18 15:21:21.652455: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3436 MB memory) -> physical GPU (device: 0, name: GeForce GTX 970, pci bus id: 0000:01:00.0, compute capability: 5.2)
2018-03-18 15:21:21.761345: W tensorflow/core/framework/op_kernel.cc:1202] OP_REQUIRES failed at save_restore_v2_ops.cc:184 : Not found: Key generator/decoder_1/deconv/filter not found in checkpoint
Traceback (most recent call last):
File "/home/virgil/.local/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1361, in _do_call
return fn(*args)
File "/home/virgil/.local/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1340, in _run_fn
target_list, status, run_metadata)
File "/home/virgil/.local/lib/python3.5/site-packages/tensorflow/python/framework/errors_impl.py", line 516, in exit
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.NotFoundError: Key generator/decoder_1/deconv/filter not found in checkpoint
[[Node: save/RestoreV2 = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, ..., DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]
[[Node: save/RestoreV2/_7 = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device_incarnation=1, tensor_name="edge_12_save/RestoreV2", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "reduce_model.py", line 215, in
saver.restore(sess, checkpoint)
File "/home/virgil/.local/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 1755, in restore
{self.saver_def.filename_tensor_name: save_path})
File "/home/virgil/.local/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 905, in run
run_metadata_ptr)
File "/home/virgil/.local/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1137, in _run
feed_dict_tensor, options, run_metadata)
File "/home/virgil/.local/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1355, in _do_run
options, run_metadata)
File "/home/virgil/.local/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1374, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.NotFoundError: Key generator/decoder_1/deconv/filter not found in checkpoint
[[Node: save/RestoreV2 = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, ..., DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]
[[Node: save/RestoreV2/_7 = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device_incarnation=1, tensor_name="edge_12_save/RestoreV2", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"]]
Caused by op 'save/RestoreV2', defined at:
File "reduce_model.py", line 213, in
saver = tf.train.Saver()
File "/home/virgil/.local/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 1293, in init
self.build()
File "/home/virgil/.local/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 1302, in build
self._build(self._filename, build_save=True, build_restore=True)
File "/home/virgil/.local/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 1339, in _build
build_save=build_save, build_restore=build_restore)
File "/home/virgil/.local/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 796, in _build_internal
restore_sequentially, reshape)
File "/home/virgil/.local/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 449, in _AddRestoreOps
restore_sequentially)
File "/home/virgil/.local/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 847, in bulk_restore
return io_ops.restore_v2(filename_tensor, names, slices, dtypes)
File "/home/virgil/.local/lib/python3.5/site-packages/tensorflow/python/ops/gen_io_ops.py", line 1030, in restore_v2
shape_and_slices=shape_and_slices, dtypes=dtypes, name=name)
File "/home/virgil/.local/lib/python3.5/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "/home/virgil/.local/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 3271, in create_op
op_def=op_def)
File "/home/virgil/.local/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 1650, in init
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access
NotFoundError (see above for traceback): Key generator/decoder_1/deconv/filter not found in checkpoint
[[Node: save/RestoreV2 = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, ..., DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]
[[Node: save/RestoreV2/_7 = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device_incarnation=1, tensor_name="edge_12_save/RestoreV2", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"]]
As the same there are some problems when using reduce_model.py
How can I solve such problem?
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