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Revert "Advance nightly docker to 11.6 (#86941)"
This reverts commit c5de535bc0b785abbacfebddf660af4cd3b2a6a1. Reverted https://github.com/pytorch/pytorch/pull/86941 on behalf of https://github.com/atalman due to Workflow is passing but installs CUDA 11.3 PyTorch rather then 11.6
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@ -3,14 +3,13 @@
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set -xeuo pipefail
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set -xeuo pipefail
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PYTORCH_DOCKER_TAG=$(git describe --tags --always)-devel
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PYTORCH_DOCKER_TAG=$(git describe --tags --always)-devel
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CUDA_VERSION=11.6.2
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CUDA_VERSION=11.3.1
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# Build PyTorch nightly docker
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# Build PyTorch nightly docker
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make -f docker.Makefile \
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make -f docker.Makefile \
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DOCKER_REGISTRY=ghcr.io \
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DOCKER_REGISTRY=ghcr.io \
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DOCKER_ORG=pytorch \
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DOCKER_ORG=pytorch \
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CUDA_VERSION=${CUDA_VERSION} \
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CUDA_VERSION=${CUDA_VERSION} \
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CUDA_VERSION_SHORT="${CUDA_VERSION:0:2}.${CUDA_VERSION:4:1}" \
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DOCKER_IMAGE=pytorch-nightly \
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DOCKER_IMAGE=pytorch-nightly \
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DOCKER_TAG=${PYTORCH_DOCKER_TAG} \
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DOCKER_TAG=${PYTORCH_DOCKER_TAG} \
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INSTALL_CHANNEL=pytorch-nightly BUILD_TYPE=official devel-image
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INSTALL_CHANNEL=pytorch-nightly BUILD_TYPE=official devel-image
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@ -59,18 +59,17 @@ RUN --mount=type=cache,target=/opt/ccache \
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FROM conda as conda-installs
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FROM conda as conda-installs
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ARG PYTHON_VERSION=3.8
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ARG PYTHON_VERSION=3.8
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ARG CUDA_VERSION=11.6
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ARG CUDA_VERSION=11.3
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ARG CUDA_CHANNEL=nvidia
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ARG CUDA_CHANNEL=nvidia
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ARG INSTALL_CHANNEL=pytorch-nightly
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ARG INSTALL_CHANNEL=pytorch-nightly
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ENV CONDA_OVERRIDE_CUDA=${CUDA_VERSION}
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# Automatically set by buildx
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# Automatically set by buildx
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RUN /opt/conda/bin/conda update -y conda
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RUN /opt/conda/bin/conda install -c "${INSTALL_CHANNEL}" -y python=${PYTHON_VERSION}
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RUN /opt/conda/bin/conda install -c "${INSTALL_CHANNEL}" -y python=${PYTHON_VERSION}
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ARG TARGETPLATFORM
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ARG TARGETPLATFORM
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# On arm64 we can only install wheel packages
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# On arm64 we can only install wheel packages
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RUN case ${TARGETPLATFORM} in \
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RUN case ${TARGETPLATFORM} in \
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"linux/arm64") pip install --extra-index-url https://download.pytorch.org/whl/cpu/ torch torchvision torchtext ;; \
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"linux/arm64") pip install --extra-index-url https://download.pytorch.org/whl/cpu/ torch torchvision torchtext ;; \
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*) /opt/conda/bin/conda install -c "${INSTALL_CHANNEL}" -c "${CUDA_CHANNEL}" -y "python=${PYTHON_VERSION}" pytorch torchvision torchtext "pytorch-cuda=$(echo $CUDA_VERSION | cut -d'.' -f 1-2)" ;; \
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*) /opt/conda/bin/conda install -c "${INSTALL_CHANNEL}" -c "${CUDA_CHANNEL}" -y "python=${PYTHON_VERSION}" pytorch torchvision torchtext "cudatoolkit=${CUDA_VERSION}" ;; \
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esac && \
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esac && \
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/opt/conda/bin/conda clean -ya
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/opt/conda/bin/conda clean -ya
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RUN /opt/conda/bin/pip install torchelastic
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RUN /opt/conda/bin/pip install torchelastic
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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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DOCKER_ORG = $(shell whoami)
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endif
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endif
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CUDA_VERSION = 11.6.2
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CUDA_VERSION = 11.3.1
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CUDNN_VERSION = 8
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CUDNN_VERSION = 8
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BASE_RUNTIME = ubuntu:18.04
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BASE_RUNTIME = ubuntu:18.04
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BASE_DEVEL = nvidia/cuda:$(CUDA_VERSION)-cudnn$(CUDNN_VERSION)-devel-ubuntu18.04
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BASE_DEVEL = nvidia/cuda:$(CUDA_VERSION)-cudnn$(CUDNN_VERSION)-devel-ubuntu18.04
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@ -18,7 +18,7 @@ CUDA_CHANNEL = nvidia
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# The conda channel to use to install pytorch / torchvision
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# The conda channel to use to install pytorch / torchvision
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INSTALL_CHANNEL ?= pytorch
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INSTALL_CHANNEL ?= pytorch
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PYTHON_VERSION ?= 3.9
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PYTHON_VERSION ?= 3.8
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PYTORCH_VERSION ?= $(shell git describe --tags --always)
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PYTORCH_VERSION ?= $(shell git describe --tags --always)
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# Can be either official / dev
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# Can be either official / dev
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BUILD_TYPE ?= dev
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BUILD_TYPE ?= dev
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