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docker: Update default cuda => 11.1 (#53299)
Summary: We no longer build binaries for CUDA 11.0 so let's ensure that we have build for CUDA 11.1 by default instead Signed-off-by: Eli Uriegas <eliuriegas@fb.com> Pull Request resolved: https://github.com/pytorch/pytorch/pull/53299 Reviewed By: anjali411 Differential Revision: D26857194 Pulled By: seemethere fbshipit-source-id: 6094913922c0da832b96e5e49a67369d69d0b8ad
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@ -5,7 +5,7 @@
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#
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# If you do not use buildkit you are not going to have a good time
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#
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# For reference:
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# For reference:
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# https://docs.docker.com/develop/develop-images/build_enhancements/
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ARG BASE_IMAGE=ubuntu:18.04
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ARG PYTHON_VERSION=3.8
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@ -51,8 +51,8 @@ RUN --mount=type=cache,target=/opt/ccache \
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FROM conda as conda-installs
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ARG PYTHON_VERSION=3.8
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ARG CUDA_VERSION=11.0
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ARG CUDA_CHANNEL=defaults
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ARG CUDA_VERSION=11.1
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ARG CUDA_CHANNEL=nvidia
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ARG INSTALL_CHANNEL=pytorch-nightly
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ENV CONDA_OVERRIDE_CUDA=${CUDA_VERSION}
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RUN /opt/conda/bin/conda install -c "${INSTALL_CHANNEL}" -c "${CUDA_CHANNEL}" -y python=${PYTHON_VERSION} pytorch torchvision torchtext "cudatoolkit=${CUDA_VERSION}" && \
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@ -8,7 +8,7 @@ $(warning WARNING: No docker user found using results from whoami)
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DOCKER_ORG = $(shell whoami)
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endif
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CUDA_VERSION = 11.0
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CUDA_VERSION = 11.1
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CUDNN_VERSION = 8
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BASE_RUNTIME = ubuntu:18.04
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BASE_DEVEL = nvidia/cuda:$(CUDA_VERSION)-cudnn$(CUDNN_VERSION)-devel-ubuntu18.04
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