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Upgrade PyTorch version to v1.13.0 #2082
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google-oss-prow
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kubeflow:master
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tenzen-y:upgrade-python-version
Jan 17, 2023
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7 changes: 4 additions & 3 deletions
7
examples/v1beta1/trial-images/darts-cnn-cifar10/Dockerfile.gpu
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4 changes: 2 additions & 2 deletions
4
examples/v1beta1/trial-images/darts-cnn-cifar10/requirements.txt
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,3 +1,3 @@ | ||
torch==1.11.0 | ||
torchvision==0.12.0 | ||
torch==1.13.1 | ||
torchvision==0.14.1 | ||
Pillow>=9.1.1 |
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,4 +1,4 @@ | ||
cloudml-hypertune==0.1.0.dev6 | ||
torch==1.11.0 | ||
torchvision==0.12.0 | ||
torch==1.13.1 | ||
torchvision==0.14.1 | ||
Pillow>=9.1.1 |
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To avoid OOM errors in CI, we must build container images using
minikube
instead ofdocker
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What is the difference here?
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The build succeeded but tests take longer time
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@johnugeorge In
minikube image build
, we can build images using an actual container runtime on the minikube cluster. So we no longer load images to the minikube cluster.There was a problem hiding this comment.
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@johnugeorge As I can see, It seems to be faster.