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CUDA 11.2 in docker images
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2 changed files with 2 additions and 2 deletions
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@ -133,7 +133,7 @@ def _build_cpu_gpu_images(image_name, no_cache=True) -> List[str]:
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if image_name == "base-deps":
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build_args["BASE_IMAGE"] = (
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"nvidia/cuda:11.0-cudnn8-devel-ubuntu18.04"
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"nvidia/cuda:11.2.0-cudnn8-devel-ubuntu18.04"
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if gpu == "-gpu" else "ubuntu:focal")
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else:
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# NOTE(ilr) This is a bit of an abuse of the name "GPU"
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@ -1,6 +1,6 @@
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ipython
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# In TF >v2, GPU support is included in the base package.
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tensorflow==2.4.1
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tensorflow==2.5
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-f https://download.pytorch.org/whl/torch_stable.html
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torch==1.8.1+cu111
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-f https://download.pytorch.org/whl/torch_stable.html
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