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Add support for V100 GPU. (#940)
TensorFlow must be built with 7.0 compute capability. http://b/178104927
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tensorflow-whl/CHANGELOG.md

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2020
* `2.3.1-py37`: TensorFlow 2.3.1 with Python 3.7
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* `2.3.1-py37-2`: TensorFlow 2.3.1 & TFA 0.11 with Python 3.7
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* `2.4.0-py37`: TensorFlow 2.4.0 & Python 3.7 & TFA 0.12
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* `2.4.0-py37-2`: TensorFlow 2.4.0 & m61 base image
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* `2.4.0-py37-2`: TensorFlow 2.4.0 & m61 base image
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* `2.4.0-py37-3`: TensorFlow 2.4.0 & 7.0 CUDA compute capability

tensorflow-whl/Dockerfile

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# Create a tensorflow wheel for GPU/cuda
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ENV TF_NEED_CUDA=1
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ENV TF_CUDA_VERSION=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION
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# 3.7 is for the K80 and 6.0 is for the P100, 7.5 is for the T4: https://developer.nvidia.com/cuda-gpus
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ENV TF_CUDA_COMPUTE_CAPABILITIES=3.7,6.0,7.5
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# 3.7 (K80), 6.0 (P100), 7.0 (V100), 7.5 (T4): https://developer.nvidia.com/cuda-gpus
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ENV TF_CUDA_COMPUTE_CAPABILITIES=3.7,6.0,7.0,7.5
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ENV TF_CUDNN_VERSION=7
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ENV TF_NCCL_VERSION=2
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ENV NCCL_INSTALL_PATH=/usr/

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