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[Deps] Bump tensorflow on Docker image and add Codeowners (#20041)
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3 changed files with 15 additions and 2 deletions
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@ -52,6 +52,10 @@
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# RLlib.
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# RLlib.
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#/python/ray/rllib/ @ray-project/rllib
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#/python/ray/rllib/ @ray-project/rllib
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# ML Docker Dependencies
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/python/requirements/ml/requirements_dl.txt @amogkam @sven1977 @richardliaw @matthewdeng
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/python/requirements_ml_docker.txt @amogkam @sven1977 @richardliaw @matthewdeng
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# ==== Build and CI ====
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# ==== Build and CI ====
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# Bazel.
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# Bazel.
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@ -1,6 +1,10 @@
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# These requirements are used for the CI and CPU-only Docker images so we install CPU only versions of torch.
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# These requirements are used for the CI and CPU-only Docker images so we install CPU only versions of torch.
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# For GPU Docker images, you should install requirements_ml_docker.txt instead.
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# For GPU Docker images, you should install requirements_ml_docker.txt instead.
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# If you make changes to this file, please also change `requirements_ml_docker.txt`!
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# TODO(amogkam): Remove after https://github.com/tensorflow/tensorflow/issues/52922 is fixed.
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# TODO(amogkam): Remove after https://github.com/tensorflow/tensorflow/issues/52922 is fixed.
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keras==2.6.0
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keras==2.6.0
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tensorflow==2.6.0
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tensorflow==2.6.0
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@ -3,9 +3,14 @@ ipython
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# Needed for Ray Client error message serialization/deserialization.
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# Needed for Ray Client error message serialization/deserialization.
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tblib
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tblib
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# If you make changes to anything below this line, please also change `requirements_dl.txt`!
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# TODO(amogkam): Remove after https://github.com/tensorflow/tensorflow/issues/52922 is fixed.
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keras==2.6.0
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# In TF >v2, GPU support is included in the base package.
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# In TF >v2, GPU support is included in the base package.
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tensorflow==2.5.0
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tensorflow==2.6.0
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tensorflow-probability==0.13.0
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tensorflow-probability==0.14.0
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-f https://download.pytorch.org/whl/torch_stable.html
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-f https://download.pytorch.org/whl/torch_stable.html
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torch==1.9.0+cu111
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torch==1.9.0+cu111
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-f https://download.pytorch.org/whl/torch_stable.html
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-f https://download.pytorch.org/whl/torch_stable.html
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