[CI] Update GPU image for PyTorch 1.11 #10849
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masahi
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masahi
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Mar 31, 2022
| from matplotlib import pyplot as plt | ||
| from keras.applications.resnet50 import preprocess_input | ||
| from tensorflow.keras.applications.resnet50 import preprocess_input | ||
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also not sure, the mapping of image version -> range of commits is very difficult to track down (but should be fixed by #10646)
driazati
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Mar 31, 2022
| from matplotlib import pyplot as plt | ||
| from keras.applications.resnet50 import preprocess_input | ||
| from tensorflow.keras.applications.resnet50 import preprocess_input | ||
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also not sure, the mapping of image version -> range of commits is very difficult to track down (but should be fixed by #10646)
mbrookhart
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Apr 1, 2022
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Apr 11, 2022
* Update Jenkinsfile to point to the new GPU image * fix onnx test * fixed keras tutorial
mehrdadh
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Apr 11, 2022
* Update Jenkinsfile to point to the new GPU image * fix onnx test * fixed keras tutorial
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To support the new PT fallback feature, we need to update PT to 1.11 (for dlpack bump). See more discussion in #10758
Validated on https://ci.tlcpack.ai/blue/organizations/jenkins/tvm/detail/ci-docker-staging/244/pipeline
@t-vi @driazati @areusch @leandron @Mousius