docker: Use miniforge, install from pip (pytorch#134274)

Switch installation of the pytorch package to be installed from our download.pytorch.org sources which are better maintained.

As well, switching over the miniconda installation to a miniforge installation in order to ensure backwards compat for users expecting to have the conda package manager installed.

Pull Request resolved: pytorch#134274
Approved by: https://github.com/malfet, https://github.com/atalman

Co-authored-by: atalman <[email protected]>

Author: 2 people

.github/workflows/docker-release.yml

@@ -110,7 +110,7 @@ jobs:
           if [[ ${{ github.event.ref }} =~ ^refs/tags/v[0-9]+\.[0-9]+\.[0-9]+-rc[0-9]+$ ]]; then
             {
               echo "DOCKER_IMAGE=pytorch-test";
-              echo "INSTALL_CHANNEL=pytorch-test";
+              echo "INSTALL_CHANNEL=whl/test";
               echo "TRITON_VERSION=$(cut -f 1 .ci/docker/triton_version.txt)";
             } >> "${GITHUB_ENV}"
           fi
@@ -119,7 +119,7 @@ jobs:
         run: |
           {
             echo "DOCKER_IMAGE=pytorch-nightly";
-            echo "INSTALL_CHANNEL=pytorch-nightly";
+            echo "INSTALL_CHANNEL=whl/nightly";
             echo "TRITON_VERSION=$(cut -f 1 .ci/docker/triton_version.txt)+$(cut -c -10 .ci/docker/ci_commit_pins/triton.txt)";
           } >> "${GITHUB_ENV}"
       - name: Run docker build / push

Dockerfile

@@ -32,7 +32,7 @@ RUN case ${TARGETPLATFORM} in \
          "linux/arm64")  MINICONDA_ARCH=aarch64  ;; \
          *)              MINICONDA_ARCH=x86_64   ;; \
     esac && \
-    curl -fsSL -v -o ~/miniconda.sh -O  "https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-${MINICONDA_ARCH}.sh"
+    curl -fsSL -v -o ~/miniconda.sh -O  "https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Linux-${MINICONDA_ARCH}.sh"
 COPY requirements.txt .
 # Manually invoke bash on miniconda script per https://github.com/conda/conda/issues/10431
 RUN chmod +x ~/miniconda.sh && \
@@ -61,19 +61,19 @@ RUN --mount=type=cache,target=/opt/ccache \
 
 FROM conda as conda-installs
 ARG PYTHON_VERSION=3.11
-ARG CUDA_VERSION=12.1
+ARG CUDA_PATH=cu121
 ARG CUDA_CHANNEL=nvidia
-ARG INSTALL_CHANNEL=pytorch-nightly
+ARG INSTALL_CHANNEL=whl/nightly
 # Automatically set by buildx
 RUN /opt/conda/bin/conda update -y -n base -c defaults conda
-RUN /opt/conda/bin/conda install -c "${INSTALL_CHANNEL}" -y python=${PYTHON_VERSION}
+RUN /opt/conda/bin/conda install -y python=${PYTHON_VERSION}
 
 ARG TARGETPLATFORM
 
-# On arm64 we can only install wheel packages.
+# INSTALL_CHANNEL whl - release, whl/nightly - nightly, whle/test - test channels
 RUN case ${TARGETPLATFORM} in \
          "linux/arm64")  pip install --extra-index-url https://download.pytorch.org/whl/cpu/ torch torchvision torchaudio ;; \
-         *)              /opt/conda/bin/conda install -c "${INSTALL_CHANNEL}" -c "${CUDA_CHANNEL}" -y "python=${PYTHON_VERSION}" pytorch torchvision torchaudio "pytorch-cuda=$(echo $CUDA_VERSION | cut -d'.' -f 1-2)"  ;; \
+         *)              pip install --index-url https://download.pytorch.org/${INSTALL_CHANNEL}/${CUDA_PATH#.}/ torch torchvision torchaudio ;; \
     esac && \
     /opt/conda/bin/conda clean -ya
 RUN /opt/conda/bin/pip install torchelastic

docker.Makefile

@@ -18,7 +18,12 @@ CMAKE_VARS               ?=
 # The conda channel to use to install cudatoolkit
 CUDA_CHANNEL              = nvidia
 # The conda channel to use to install pytorch / torchvision
-INSTALL_CHANNEL          ?= pytorch
+INSTALL_CHANNEL          ?= whl
+
+CUDA_PATH                ?= cpu
+ifneq ("$(CUDA_VERSION_SHORT)","cpu")
+CUDA_PATH                = cu$(subst .,,$(CUDA_VERSION_SHORT))
+endif
 
 PYTHON_VERSION           ?= 3.11
 # Match versions that start with v followed by a number, to avoid matching with tags like ciflow
@@ -31,7 +36,7 @@ TRITON_VERSION           ?=
 BUILD_ARGS                = --build-arg BASE_IMAGE=$(BASE_IMAGE) \
 							--build-arg PYTHON_VERSION=$(PYTHON_VERSION) \
 							--build-arg CUDA_VERSION=$(CUDA_VERSION) \
-							--build-arg CUDA_CHANNEL=$(CUDA_CHANNEL) \
+							--build-arg CUDA_PATH=$(CUDA_PATH) \
 							--build-arg PYTORCH_VERSION=$(PYTORCH_VERSION) \
 							--build-arg INSTALL_CHANNEL=$(INSTALL_CHANNEL) \
 							--build-arg TRITON_VERSION=$(TRITON_VERSION) \