[DataLoader] Share seed via Distributed Store to get rid of CUDA dependency (#79829) (#79890)

Fixes #79828

In distributed environment, before this PR, DataLoader would create a Tensor holding the shared seed in RANK 0 and send the Tensor to other processes. However, when `NCCL` is used as the distributed backend, the Tensor is required to be moved to cuda before broadcasted from RANK 0 to other RANKs. And, this causes the Issue where DataLoader doesn't move the Tensor to cuda before sharing using `NCCL`.

After offline discussion with @mrshenli, we think the distributed Store is a better solution as the shared seed is just an integer value. Then, we can get rid of the dependency on NCCL and CUDA when sharing info between distributed processes for DataLoader.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/79829
Approved by: https://github.com/VitalyFedyunin, https://github.com/NivekT

.bazelignore

@@ -1,4 +0,0 @@
-# We do not use this library in our Bazel build. It contains an
-# infinitely recursing symlink that makes Bazel very unhappy.
-third_party/ittapi/
-third_party/opentelemetry-cpp

.bazelrc

@@ -1,4 +1,4 @@
-build --cxxopt=--std=c++17
+build --cxxopt=--std=c++14
 build --copt=-I.
 # Bazel does not support including its cc_library targets as system
 # headers. We work around this for generated code
@@ -13,102 +13,15 @@ build:no-tty --curses no
 build:no-tty --progress_report_interval 10
 build:no-tty --show_progress_rate_limit 10
 
-# Build with GPU support by default.
-build --define=cuda=true
-# rules_cuda configuration
-build --@rules_cuda//cuda:enable_cuda
-build --@rules_cuda//cuda:cuda_targets=sm_52
-build --@rules_cuda//cuda:compiler=nvcc
-build --repo_env=CUDA_PATH=/usr/local/cuda
-
-# Configuration to build without GPU support
-build:cpu-only --define=cuda=false
+# Configuration to build with GPU support
+build:gpu --define=cuda=true
 # define a separate build folder for faster switching between configs
-build:cpu-only --platform_suffix=-cpu-only
+build:gpu --platform_suffix=-gpu
 # See the note on the config-less build for details about why we are
-# doing this. We must also do it for the "-cpu-only" platform suffix.
-build --copt=-isystem --copt=bazel-out/k8-fastbuild-cpu-only/bin
+# doing this. We must also do it for the "-gpu" platform suffix.
+build --copt=-isystem --copt=bazel-out/k8-fastbuild-gpu/bin
 # rules_cuda configuration
-build:cpu-only --@rules_cuda//cuda:enable_cuda=False
-
-# Definition of --config=shell
-# interactive shell immediately before execution
-build:shell --run_under="//tools/bazel_tools:shellwrap"
-
-# Disable all warnings for external repositories. We don't care about
-# their warnings.
-build --per_file_copt=^external/@-w
-
-# Set additional warnings to error level.
-#
-# Implementation notes:
-#  * we use file extensions to determine if we are using the C++
-#    compiler or the cuda compiler
-#  * we use ^// at the start of the regex to only permit matching
-#    PyTorch files. This excludes external repos.
-#
-# Note that because this is logically a command-line flag, it is
-# considered the word on what warnings are enabled. This has the
-# unfortunate consequence of preventing us from disabling an error at
-# the target level because those flags will come before these flags in
-# the action invocation. Instead we provide per-file exceptions after
-# this.
-#
-# On the bright side, this means we don't have to more broadly apply
-# the exceptions to an entire target.
-#
-# Looking for CUDA flags? We have a cu_library macro that we can edit
-# directly. Look in //tools/rules:cu.bzl for details. Editing the
-# macro over this has the following advantages:
-#  * making changes does not require discarding the Bazel analysis
-#    cache
-#  * it allows for selective overrides on individual targets since the
-#    macro-level opts will come earlier than target level overrides
-
-build --per_file_copt='^//.*\.(cpp|cc)$'@-Werror=all
-# The following warnings come from -Wall. We downgrade them from error
-# to warnings here.
-#
-# We intentionally use #pragma unroll, which is compiler specific.
-build --per_file_copt='^//.*\.(cpp|cc)$'@-Wno-error=unknown-pragmas
-
-build --per_file_copt='^//.*\.(cpp|cc)$'@-Werror=extra
-# The following warnings come from -Wextra. We downgrade them from error
-# to warnings here.
-#
-# unused-parameter-compare has a tremendous amount of violations in the
-# codebase. It will be a lot of work to fix them, just disable it for
-# now.
-build --per_file_copt='^//.*\.(cpp|cc)$'@-Wno-unused-parameter
-# missing-field-parameters has both a large number of violations in
-# the codebase, but it also is used pervasively in the Python C
-# API. There are a couple of catches though:
-# * we use multiple versions of the Python API and hence have
-#   potentially multiple different versions of each relevant
-#   struct. They may have different numbers of fields. It will be
-#   unwieldy to support multiple versions in the same source file.
-# * Python itself for many of these structs recommends only
-#   initializing a subset of the fields. We should respect the API
-#   usage conventions of our dependencies.
-#
-# Hence, we just disable this warning altogether. We may want to clean
-# up some of the clear-cut cases that could be risky, but we still
-# likely want to have this disabled for the most part.
-build --per_file_copt='^//.*\.(cpp|cc)$'@-Wno-missing-field-initializers
-
-build --per_file_copt='^//.*\.(cpp|cc)$'@-Wno-unused-function
-build --per_file_copt='^//.*\.(cpp|cc)$'@-Wno-unused-variable
-
-build --per_file_copt='//:aten/src/ATen/RegisterCompositeExplicitAutograd\.cpp$'@-Wno-error=unused-function
-build --per_file_copt='//:aten/src/ATen/RegisterCompositeImplicitAutograd\.cpp$'@-Wno-error=unused-function
-build --per_file_copt='//:aten/src/ATen/RegisterMkldnnCPU\.cpp$'@-Wno-error=unused-function
-build --per_file_copt='//:aten/src/ATen/RegisterNestedTensorCPU\.cpp$'@-Wno-error=unused-function
-build --per_file_copt='//:aten/src/ATen/RegisterQuantizedCPU\.cpp$'@-Wno-error=unused-function
-build --per_file_copt='//:aten/src/ATen/RegisterSparseCPU\.cpp$'@-Wno-error=unused-function
-build --per_file_copt='//:aten/src/ATen/RegisterSparseCsrCPU\.cpp$'@-Wno-error=unused-function
-build --per_file_copt='//:aten/src/ATen/RegisterNestedTensorMeta\.cpp$'@-Wno-error=unused-function
-build --per_file_copt='//:aten/src/ATen/RegisterSparseMeta\.cpp$'@-Wno-error=unused-function
-build --per_file_copt='//:aten/src/ATen/RegisterQuantizedMeta\.cpp$'@-Wno-error=unused-function
-build --per_file_copt='//:aten/src/ATen/RegisterZeroTensor\.cpp$'@-Wno-error=unused-function
-build --per_file_copt='//:torch/csrc/lazy/generated/RegisterAutogradLazy\.cpp$'@-Wno-error=unused-function
-build --per_file_copt='//:torch/csrc/lazy/generated/RegisterLazy\.cpp$'@-Wno-error=unused-function
+build:gpu --@rules_cuda//cuda:enable_cuda
+build:gpu --@rules_cuda//cuda:cuda_targets=sm_52
+build:gpu --@rules_cuda//cuda:compiler=nvcc
+build:gpu --repo_env=CUDA_PATH=/usr/local/cuda

.bazelversion

@@ -1 +1 @@
-6.1.1
+4.2.1

.buckconfig.oss

@@ -1,26 +1,15 @@
-[pt]
-  is_oss=1
-
 [buildfile]
-  name = BUCK.oss
-  includes = //tools/build_defs/select.bzl
+name = BUILD.buck
 
 [repositories]
   bazel_skylib = third_party/bazel-skylib/
-  ovr_config = .
 
 [download]
   in_build = true
 
 [cxx]
   cxxflags = -std=c++17
-  ldflags = -Wl,--no-undefined
   should_remap_host_platform = true
-  cpp = /usr/bin/clang
-  cc = /usr/bin/clang
-  cxx = /usr/bin/clang++
-  cxxpp = /usr/bin/clang++
-  ld = /usr/bin/clang++
 
 [project]
   default_flavors_mode=all

.ci/caffe2/common.sh

@@ -1,36 +0,0 @@
-set -ex
-
-LOCAL_DIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)
-ROOT_DIR=$(cd "$LOCAL_DIR"/../.. && pwd)
-TEST_DIR="$ROOT_DIR/test"
-gtest_reports_dir="${TEST_DIR}/test-reports/cpp"
-pytest_reports_dir="${TEST_DIR}/test-reports/python"
-
-# Figure out which Python to use
-PYTHON="$(which python)"
-if [[ "${BUILD_ENVIRONMENT}" =~ py((2|3)\.?[0-9]?\.?[0-9]?) ]]; then
-  PYTHON=$(which "python${BASH_REMATCH[1]}")
-fi
-
-if [[ "${BUILD_ENVIRONMENT}" == *rocm* ]]; then
-    # HIP_PLATFORM is auto-detected by hipcc; unset to avoid build errors
-    unset HIP_PLATFORM
-    if which sccache > /dev/null; then
-        # Save sccache logs to file
-        sccache --stop-server || true
-        rm -f ~/sccache_error.log || true
-        SCCACHE_ERROR_LOG=~/sccache_error.log SCCACHE_IDLE_TIMEOUT=0 sccache --start-server
-
-        # Report sccache stats for easier debugging
-        sccache --zero-stats
-    fi
-fi
-
-# /usr/local/caffe2 is where the cpp bits are installed to in cmake-only
-# builds. In +python builds the cpp tests are copied to /usr/local/caffe2 so
-# that the test code in .ci/test.sh is the same
-INSTALL_PREFIX="/usr/local/caffe2"
-
-mkdir -p "$gtest_reports_dir" || true
-mkdir -p "$pytest_reports_dir" || true
-mkdir -p "$INSTALL_PREFIX" || true

.ci/caffe2/test.sh

@@ -1,172 +0,0 @@
-#!/bin/bash
-
-# shellcheck source=./common.sh
-source "$(dirname "${BASH_SOURCE[0]}")/common.sh"
-
-if [[ ${BUILD_ENVIRONMENT} == *onnx* ]]; then
-  pip install click mock tabulate networkx==2.0
-  pip -q install --user "file:///var/lib/jenkins/workspace/third_party/onnx#egg=onnx"
-fi
-
-# Skip tests in environments where they are not built/applicable
-if [[ "${BUILD_ENVIRONMENT}" == *-android* ]]; then
-  echo 'Skipping tests'
-  exit 0
-fi
-if [[ "${BUILD_ENVIRONMENT}" == *-rocm* ]]; then
-  # temporary to locate some kernel issues on the CI nodes
-  export HSAKMT_DEBUG_LEVEL=4
-fi
-# These additional packages are needed for circleci ROCm builds.
-if [[ $BUILD_ENVIRONMENT == *rocm* ]]; then
-    # Need networkx 2.0 because bellmand_ford was moved in 2.1 . Scikit-image by
-    # defaults installs the most recent networkx version, so we install this lower
-    # version explicitly before scikit-image pulls it in as a dependency
-    pip install networkx==2.0
-    # click - onnx
-    pip install --progress-bar off click protobuf tabulate virtualenv mock typing-extensions
-fi
-
-# Find where cpp tests and Caffe2 itself are installed
-if [[ "$BUILD_ENVIRONMENT" == *cmake* ]]; then
-  # For cmake only build we install everything into /usr/local
-  cpp_test_dir="$INSTALL_PREFIX/cpp_test"
-  ld_library_path="$INSTALL_PREFIX/lib"
-else
-  # For Python builds we install into python
-  # cd to /usr first so the python import doesn't get confused by any 'caffe2'
-  # directory in cwd
-  python_installation="$(dirname $(dirname $(cd /usr && $PYTHON -c 'import os; import caffe2; print(os.path.realpath(caffe2.__file__))')))"
-  caffe2_pypath="$python_installation/caffe2"
-  cpp_test_dir="$python_installation/torch/test"
-  ld_library_path="$python_installation/torch/lib"
-fi
-
-################################################################################
-# C++ tests #
-################################################################################
-# Only run cpp tests in the first shard, don't run cpp tests a second time in the second shard
-if [[ "${SHARD_NUMBER:-1}" == "1" ]]; then
-  echo "Running C++ tests.."
-  for test in $(find "$cpp_test_dir" -executable -type f); do
-    case "$test" in
-      # skip tests we know are hanging or bad
-      */mkl_utils_test|*/aten/integer_divider_test)
-        continue
-        ;;
-      */scalar_tensor_test|*/basic|*/native_test)
-        if [[ "$BUILD_ENVIRONMENT" == *rocm* ]]; then
-          continue
-        else
-          LD_LIBRARY_PATH="$ld_library_path" "$test"
-        fi
-        ;;
-      */*_benchmark)
-        LD_LIBRARY_PATH="$ld_library_path" "$test" --benchmark_color=false
-        ;;
-      *)
-        # Currently, we use a mixture of gtest (caffe2) and Catch2 (ATen). While
-        # planning to migrate to gtest as the common PyTorch c++ test suite, we
-        # currently do NOT use the xml test reporter, because Catch doesn't
-        # support multiple reporters
-        # c.f. https://github.com/catchorg/Catch2/blob/master/docs/release-notes.md#223
-        # which means that enabling XML output means you lose useful stdout
-        # output for Jenkins.  It's more important to have useful console
-        # output than it is to have XML output for Jenkins.
-        # Note: in the future, if we want to use xml test reporter once we switch
-        # to all gtest, one can simply do:
-        LD_LIBRARY_PATH="$ld_library_path" \
-            "$test" --gtest_output=xml:"$gtest_reports_dir/$(basename $test).xml"
-        ;;
-    esac
-  done
-fi
-
-################################################################################
-# Python tests #
-################################################################################
-if [[ "$BUILD_ENVIRONMENT" == *cmake* ]]; then
-  exit 0
-fi
-
-# If pip is installed as root, we must use sudo.
-# CircleCI docker images could install conda as jenkins user, or use the OS's python package.
-PIP=$(which pip)
-PIP_USER=$(stat --format '%U' $PIP)
-CURRENT_USER=$(id -u -n)
-if [[ "$PIP_USER" = root && "$CURRENT_USER" != root ]]; then
-  MAYBE_SUDO=sudo
-fi
-
-# Uninstall pre-installed hypothesis and coverage to use an older version as newer
-# versions remove the timeout parameter from settings which ideep/conv_transpose_test.py uses
-$MAYBE_SUDO pip -q uninstall -y hypothesis
-$MAYBE_SUDO pip -q uninstall -y coverage
-
-# "pip install hypothesis==3.44.6" from official server is unreliable on
-# CircleCI, so we host a copy on S3 instead
-$MAYBE_SUDO pip -q install attrs==18.1.0 -f https://s3.amazonaws.com/ossci-linux/wheels/attrs-18.1.0-py2.py3-none-any.whl
-$MAYBE_SUDO pip -q install coverage==4.5.1 -f https://s3.amazonaws.com/ossci-linux/wheels/coverage-4.5.1-cp36-cp36m-macosx_10_12_x86_64.whl
-$MAYBE_SUDO pip -q install hypothesis==3.44.6 -f https://s3.amazonaws.com/ossci-linux/wheels/hypothesis-3.44.6-py3-none-any.whl
-
-# Collect additional tests to run (outside caffe2/python)
-EXTRA_TESTS=()
-
-# CUDA builds always include NCCL support
-if [[ "$BUILD_ENVIRONMENT" == *-cuda* ]] || [[ "$BUILD_ENVIRONMENT" == *-rocm* ]]; then
-  EXTRA_TESTS+=("$caffe2_pypath/contrib/nccl")
-fi
-
-rocm_ignore_test=()
-if [[ $BUILD_ENVIRONMENT == *-rocm* ]]; then
-  # Currently these tests are failing on ROCM platform:
-
-  # On ROCm, RCCL (distributed) development isn't complete.
-  # https://github.com/ROCmSoftwarePlatform/rccl
-  rocm_ignore_test+=("--ignore $caffe2_pypath/python/data_parallel_model_test.py")
-
-  # This test has been flaky in ROCm CI (but note the tests are
-  # cpu-only so should be unrelated to ROCm)
-  rocm_ignore_test+=("--ignore $caffe2_pypath/python/operator_test/blobs_queue_db_test.py")
-  # This test is skipped on Jenkins(compiled without MKL) and otherwise known flaky
-  rocm_ignore_test+=("--ignore $caffe2_pypath/python/ideep/convfusion_op_test.py")
-  # This test is skipped on Jenkins(compiled without MKL) and causing segfault on Circle
-  rocm_ignore_test+=("--ignore $caffe2_pypath/python/ideep/pool_op_test.py")
-fi
-
-echo "Running Python tests.."
-# locale setting is required by click package
-for loc in "en_US.utf8" "C.UTF-8"; do
-  if locale -a | grep "$loc" >/dev/null 2>&1; then
-    export LC_ALL="$loc"
-    export LANG="$loc"
-    break;
-  fi
-done
-
-# Some Caffe2 tests fail when run using AVX512 ISA, see https://github.com/pytorch/pytorch/issues/66111
-export DNNL_MAX_CPU_ISA=AVX2
-
-# Should still run even in the absence of SHARD_NUMBER
-if [[ "${SHARD_NUMBER:-1}" == "1" ]]; then
-  # TODO(sdym@meta.com) remove this when the linked issue resolved.
-  # py is temporary until https://github.com/Teemu/pytest-sugar/issues/241 is fixed
-  pip install --user py==1.11.0
-  pip install --user pytest-sugar
-  # NB: Warnings are disabled because they make it harder to see what
-  # the actual erroring test is
-  "$PYTHON" \
-    -m pytest \
-    -x \
-    -v \
-    --disable-warnings \
-    --junit-xml="$pytest_reports_dir/result.xml" \
-    --ignore "$caffe2_pypath/python/test/executor_test.py" \
-    --ignore "$caffe2_pypath/python/operator_test/matmul_op_test.py" \
-    --ignore "$caffe2_pypath/python/operator_test/pack_ops_test.py" \
-    --ignore "$caffe2_pypath/python/mkl/mkl_sbn_speed_test.py" \
-    --ignore "$caffe2_pypath/python/trt/test_pt_onnx_trt.py" \
-    ${rocm_ignore_test[@]} \
-    "$caffe2_pypath/python" \
-    "${EXTRA_TESTS[@]}"
-fi

.ci/docker/README.md

@@ -1,38 +0,0 @@
-# Docker images for GitHub CI and CD
-
-This directory contains everything needed to build the Docker images
-that are used in our CI.
-
-The Dockerfiles located in subdirectories are parameterized to
-conditionally run build stages depending on build arguments passed to
-`docker build`. This lets us use only a few Dockerfiles for many
-images. The different configurations are identified by a freeform
-string that we call a _build environment_. This string is persisted in
-each image as the `BUILD_ENVIRONMENT` environment variable.
-
-See `build.sh` for valid build environments (it's the giant switch).
-
-## Docker CI builds
-
-* `build.sh` -- dispatch script to launch all builds
-* `common` -- scripts used to execute individual Docker build stages
-* `ubuntu` -- Dockerfile for Ubuntu image for CPU build and test jobs
-* `ubuntu-cuda` -- Dockerfile for Ubuntu image with CUDA support for nvidia-docker
-* `ubuntu-rocm` -- Dockerfile for Ubuntu image with ROCm support
-* `ubuntu-xpu` -- Dockerfile for Ubuntu image with XPU support
-
-### Docker CD builds
-
-* `conda` - Dockerfile and build.sh to build Docker images used in nightly conda builds
-* `manywheel` - Dockerfile and build.sh to build Docker images used in nightly manywheel builds
-* `libtorch` - Dockerfile and build.sh to build Docker images used in nightly libtorch builds
-
-## Usage
-
-```bash
-# Build a specific image
-./build.sh pytorch-linux-bionic-py3.8-gcc9 -t myimage:latest
-
-# Set flags (see build.sh) and build image
-sudo bash -c 'PROTOBUF=1 ./build.sh pytorch-linux-bionic-py3.8-gcc9 -t myimage:latest
-```

.ci/docker/aotriton_version.txt

@@ -1,5 +0,0 @@
-0.7b
-manylinux_2_17
-rocm6.2
-9be04068c3c0857a4cfd17d7e39e71d0423ebac2
-3e9e1959d23b93d78a08fcc5f868125dc3854dece32fd9458be9ef4467982291

.ci/docker/build.sh

@@ -1,583 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-image="$1"
-shift
-
-if [ -z "${image}" ]; then
-  echo "Usage: $0 IMAGE"
-  exit 1
-fi
-
-function extract_version_from_image_name() {
-  eval export $2=$(echo "${image}" | perl -n -e"/$1(\d+(\.\d+)?(\.\d+)?)/ && print \$1")
-  if [ "x${!2}" = x ]; then
-    echo "variable '$2' not correctly parsed from image='$image'"
-    exit 1
-  fi
-}
-
-function extract_all_from_image_name() {
-  # parts $image into array, splitting on '-'
-  keep_IFS="$IFS"
-  IFS="-"
-  declare -a parts=($image)
-  IFS="$keep_IFS"
-  unset keep_IFS
-
-  for part in "${parts[@]}"; do
-    name=$(echo "${part}" | perl -n -e"/([a-zA-Z]+)\d+(\.\d+)?(\.\d+)?/ && print \$1")
-    vername="${name^^}_VERSION"
-    # "py" is the odd one out, needs this special case
-    if [ "x${name}" = xpy ]; then
-      vername=ANACONDA_PYTHON_VERSION
-    fi
-    # skip non-conforming fields such as "pytorch", "linux" or "bionic" without version string
-    if [ -n "${name}" ]; then
-      extract_version_from_image_name "${name}" "${vername}"
-    fi
-  done
-}
-
-# Use the same pre-built XLA test image from PyTorch/XLA
-if [[ "$image" == *xla* ]]; then
-  echo "Using pre-built XLA test image..."
-  exit 0
-fi
-
-if [[ "$image" == *-focal* ]]; then
-  UBUNTU_VERSION=20.04
-elif [[ "$image" == *-jammy* ]]; then
-  UBUNTU_VERSION=22.04
-elif [[ "$image" == *ubuntu* ]]; then
-  extract_version_from_image_name ubuntu UBUNTU_VERSION
-elif [[ "$image" == *centos* ]]; then
-  extract_version_from_image_name centos CENTOS_VERSION
-fi
-
-if [ -n "${UBUNTU_VERSION}" ]; then
-  OS="ubuntu"
-elif [ -n "${CENTOS_VERSION}" ]; then
-  OS="centos"
-else
-  echo "Unable to derive operating system base..."
-  exit 1
-fi
-
-DOCKERFILE="${OS}/Dockerfile"
-# When using ubuntu - 22.04, start from Ubuntu docker image, instead of nvidia/cuda docker image.
-if [[ "$image" == *cuda* && "$UBUNTU_VERSION" != "22.04" ]]; then
-  DOCKERFILE="${OS}-cuda/Dockerfile"
-elif [[ "$image" == *rocm* ]]; then
-  DOCKERFILE="${OS}-rocm/Dockerfile"
-elif [[ "$image" == *xpu* ]]; then
-  DOCKERFILE="${OS}-xpu/Dockerfile"
-elif [[ "$image" == *cuda*linter* ]]; then
-  # Use a separate Dockerfile for linter to keep a small image size
-  DOCKERFILE="linter-cuda/Dockerfile"
-elif [[ "$image" == *linter* ]]; then
-  # Use a separate Dockerfile for linter to keep a small image size
-  DOCKERFILE="linter/Dockerfile"
-fi
-
-# CMake 3.18 is needed to support CUDA17 language variant
-CMAKE_VERSION=3.18.5
-
-_UCX_COMMIT=7bb2722ff2187a0cad557ae4a6afa090569f83fb
-_UCC_COMMIT=20eae37090a4ce1b32bcce6144ccad0b49943e0b
-
-# It's annoying to rename jobs every time you want to rewrite a
-# configuration, so we hardcode everything here rather than do it
-# from scratch
-case "$image" in
-  pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9)
-    CUDA_VERSION=12.4.1
-    CUDNN_VERSION=9
-    ANACONDA_PYTHON_VERSION=3.10
-    GCC_VERSION=9
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    KATEX=yes
-    UCX_COMMIT=${_UCX_COMMIT}
-    UCC_COMMIT=${_UCC_COMMIT}
-    CONDA_CMAKE=yes
-    TRITON=yes
-    ;;
-  pytorch-linux-focal-cuda12.1-cudnn9-py3-gcc9)
-    CUDA_VERSION=12.1.1
-    CUDNN_VERSION=9
-    ANACONDA_PYTHON_VERSION=3.10
-    GCC_VERSION=9
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    KATEX=yes
-    UCX_COMMIT=${_UCX_COMMIT}
-    UCC_COMMIT=${_UCC_COMMIT}
-    CONDA_CMAKE=yes
-    TRITON=yes
-    ;;
-  pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9-inductor-benchmarks)
-    CUDA_VERSION=12.4.1
-    CUDNN_VERSION=9
-    ANACONDA_PYTHON_VERSION=3.10
-    GCC_VERSION=9
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    KATEX=yes
-    UCX_COMMIT=${_UCX_COMMIT}
-    UCC_COMMIT=${_UCC_COMMIT}
-    CONDA_CMAKE=yes
-    TRITON=yes
-    INDUCTOR_BENCHMARKS=yes
-    ;;
-  pytorch-linux-focal-cuda12.1-cudnn9-py3-gcc9-inductor-benchmarks)
-    CUDA_VERSION=12.1.1
-    CUDNN_VERSION=9
-    ANACONDA_PYTHON_VERSION=3.10
-    GCC_VERSION=9
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    KATEX=yes
-    UCX_COMMIT=${_UCX_COMMIT}
-    UCC_COMMIT=${_UCC_COMMIT}
-    CONDA_CMAKE=yes
-    TRITON=yes
-    INDUCTOR_BENCHMARKS=yes
-    ;;
-  pytorch-linux-focal-cuda12.1-cudnn9-py3.12-gcc9-inductor-benchmarks)
-    CUDA_VERSION=12.1.1
-    CUDNN_VERSION=9
-    ANACONDA_PYTHON_VERSION=3.12
-    GCC_VERSION=9
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    KATEX=yes
-    UCX_COMMIT=${_UCX_COMMIT}
-    UCC_COMMIT=${_UCC_COMMIT}
-    CONDA_CMAKE=yes
-    TRITON=yes
-    INDUCTOR_BENCHMARKS=yes
-    ;;
-  pytorch-linux-focal-cuda12.4-cudnn9-py3.12-gcc9-inductor-benchmarks)
-    CUDA_VERSION=12.4.1
-    CUDNN_VERSION=9
-    ANACONDA_PYTHON_VERSION=3.12
-    GCC_VERSION=9
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    KATEX=yes
-    UCX_COMMIT=${_UCX_COMMIT}
-    UCC_COMMIT=${_UCC_COMMIT}
-    CONDA_CMAKE=yes
-    TRITON=yes
-    INDUCTOR_BENCHMARKS=yes
-    ;;
-  pytorch-linux-focal-cuda11.8-cudnn9-py3-gcc9)
-    CUDA_VERSION=11.8.0
-    CUDNN_VERSION=9
-    ANACONDA_PYTHON_VERSION=3.10
-    GCC_VERSION=9
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    KATEX=yes
-    UCX_COMMIT=${_UCX_COMMIT}
-    UCC_COMMIT=${_UCC_COMMIT}
-    CONDA_CMAKE=yes
-    TRITON=yes
-    ;;
-  pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9)
-    CUDA_VERSION=12.4.1
-    CUDNN_VERSION=9
-    ANACONDA_PYTHON_VERSION=3.10
-    GCC_VERSION=9
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    KATEX=yes
-    UCX_COMMIT=${_UCX_COMMIT}
-    UCC_COMMIT=${_UCC_COMMIT}
-    CONDA_CMAKE=yes
-    TRITON=yes
-    ;;
-  pytorch-linux-focal-cuda12.1-cudnn9-py3-gcc9)
-    CUDA_VERSION=12.1.1
-    CUDNN_VERSION=9
-    ANACONDA_PYTHON_VERSION=3.10
-    GCC_VERSION=9
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    KATEX=yes
-    UCX_COMMIT=${_UCX_COMMIT}
-    UCC_COMMIT=${_UCC_COMMIT}
-    CONDA_CMAKE=yes
-    TRITON=yes
-    ;;
-  pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9)
-    CUDA_VERSION=12.4.1
-    CUDNN_VERSION=9
-    ANACONDA_PYTHON_VERSION=3.10
-    GCC_VERSION=9
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    KATEX=yes
-    UCX_COMMIT=${_UCX_COMMIT}
-    UCC_COMMIT=${_UCC_COMMIT}
-    CONDA_CMAKE=yes
-    TRITON=yes
-    ;;
-  pytorch-linux-focal-py3-clang10-onnx)
-    ANACONDA_PYTHON_VERSION=3.9
-    CLANG_VERSION=10
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    CONDA_CMAKE=yes
-    ONNX=yes
-    ;;
-  pytorch-linux-focal-py3-clang9-android-ndk-r21e)
-    ANACONDA_PYTHON_VERSION=3.9
-    CLANG_VERSION=9
-    LLVMDEV=yes
-    PROTOBUF=yes
-    ANDROID=yes
-    ANDROID_NDK_VERSION=r21e
-    GRADLE_VERSION=6.8.3
-    NINJA_VERSION=1.9.0
-    ;;
-  pytorch-linux-focal-py3.9-clang10)
-    ANACONDA_PYTHON_VERSION=3.9
-    CLANG_VERSION=10
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    VULKAN_SDK_VERSION=1.2.162.1
-    SWIFTSHADER=yes
-    CONDA_CMAKE=yes
-    TRITON=yes
-    ;;
-  pytorch-linux-focal-py3.11-clang10)
-    ANACONDA_PYTHON_VERSION=3.11
-    CLANG_VERSION=10
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    VULKAN_SDK_VERSION=1.2.162.1
-    SWIFTSHADER=yes
-    CONDA_CMAKE=yes
-    TRITON=yes
-    ;;
-  pytorch-linux-focal-py3.9-gcc9)
-    ANACONDA_PYTHON_VERSION=3.9
-    GCC_VERSION=9
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    CONDA_CMAKE=yes
-    TRITON=yes
-    ;;
-  pytorch-linux-focal-rocm-n-1-py3)
-    ANACONDA_PYTHON_VERSION=3.10
-    GCC_VERSION=9
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    ROCM_VERSION=6.1
-    NINJA_VERSION=1.9.0
-    CONDA_CMAKE=yes
-    TRITON=yes
-    ;;
-  pytorch-linux-focal-rocm-n-py3)
-    ANACONDA_PYTHON_VERSION=3.10
-    GCC_VERSION=9
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    ROCM_VERSION=6.2
-    NINJA_VERSION=1.9.0
-    CONDA_CMAKE=yes
-    TRITON=yes
-    ;;
-  pytorch-linux-jammy-xpu-2024.0-py3)
-    ANACONDA_PYTHON_VERSION=3.9
-    GCC_VERSION=11
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    XPU_VERSION=0.5
-    NINJA_VERSION=1.9.0
-    CONDA_CMAKE=yes
-    TRITON=yes
-    ;;
-    pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks)
-    ANACONDA_PYTHON_VERSION=3.9
-    GCC_VERSION=11
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    KATEX=yes
-    CONDA_CMAKE=yes
-    TRITON=yes
-    DOCS=yes
-    INDUCTOR_BENCHMARKS=yes
-    ;;
-  pytorch-linux-jammy-cuda11.8-cudnn9-py3.9-clang12)
-    ANACONDA_PYTHON_VERSION=3.9
-    CUDA_VERSION=11.8
-    CUDNN_VERSION=9
-    CLANG_VERSION=12
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    TRITON=yes
-    ;;
-  pytorch-linux-jammy-py3-clang12-asan)
-    ANACONDA_PYTHON_VERSION=3.9
-    CLANG_VERSION=12
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    CONDA_CMAKE=yes
-    TRITON=yes
-    ;;
-  pytorch-linux-jammy-py3-clang15-asan)
-    ANACONDA_PYTHON_VERSION=3.10
-    CLANG_VERSION=15
-    CONDA_CMAKE=yes
-    VISION=yes
-    ;;
-  pytorch-linux-jammy-py3.9-gcc11)
-    ANACONDA_PYTHON_VERSION=3.9
-    GCC_VERSION=11
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    KATEX=yes
-    CONDA_CMAKE=yes
-    TRITON=yes
-    DOCS=yes
-    UNINSTALL_DILL=yes
-    ;;
-  pytorch-linux-jammy-py3-clang12-executorch)
-    ANACONDA_PYTHON_VERSION=3.10
-    CLANG_VERSION=12
-    CONDA_CMAKE=yes
-    EXECUTORCH=yes
-    ;;
-  pytorch-linux-jammy-py3.12-halide)
-    CUDA_VERSION=12.4
-    ANACONDA_PYTHON_VERSION=3.12
-    GCC_VERSION=11
-    CONDA_CMAKE=yes
-    HALIDE=yes
-    TRITON=yes
-    ;;
-  pytorch-linux-focal-linter)
-    # TODO: Use 3.9 here because of this issue https://github.com/python/mypy/issues/13627.
-    # We will need to update mypy version eventually, but that's for another day. The task
-    # would be to upgrade mypy to 1.0.0 with Python 3.11
-    ANACONDA_PYTHON_VERSION=3.9
-    CONDA_CMAKE=yes
-    ;;
-  pytorch-linux-jammy-cuda11.8-cudnn9-py3.9-linter)
-    ANACONDA_PYTHON_VERSION=3.9
-    CUDA_VERSION=11.8
-    CONDA_CMAKE=yes
-    ;;
-  pytorch-linux-jammy-aarch64-py3.10-gcc11)
-    ANACONDA_PYTHON_VERSION=3.10
-    GCC_VERSION=11
-    ACL=yes
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    CONDA_CMAKE=yes
-    # snadampal: skipping sccache due to the following issue
-    # https://github.com/pytorch/pytorch/issues/121559
-    SKIP_SCCACHE_INSTALL=yes
-    # snadampal: skipping llvm src build install because the current version
-    # from pytorch/llvm:9.0.1 is x86 specific
-    SKIP_LLVM_SRC_BUILD_INSTALL=yes
-    ;;
-  pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks)
-    ANACONDA_PYTHON_VERSION=3.10
-    GCC_VERSION=11
-    ACL=yes
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    CONDA_CMAKE=yes
-    # snadampal: skipping sccache due to the following issue
-    # https://github.com/pytorch/pytorch/issues/121559
-    SKIP_SCCACHE_INSTALL=yes
-    # snadampal: skipping llvm src build install because the current version
-    # from pytorch/llvm:9.0.1 is x86 specific
-    SKIP_LLVM_SRC_BUILD_INSTALL=yes
-    INDUCTOR_BENCHMARKS=yes
-    ;;
-  *)
-    # Catch-all for builds that are not hardcoded.
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    echo "image '$image' did not match an existing build configuration"
-    if [[ "$image" == *py* ]]; then
-      extract_version_from_image_name py ANACONDA_PYTHON_VERSION
-    fi
-    if [[ "$image" == *cuda* ]]; then
-      extract_version_from_image_name cuda CUDA_VERSION
-      extract_version_from_image_name cudnn CUDNN_VERSION
-    fi
-    if [[ "$image" == *rocm* ]]; then
-      extract_version_from_image_name rocm ROCM_VERSION
-      NINJA_VERSION=1.9.0
-      TRITON=yes
-      # To ensure that any ROCm config will build using conda cmake
-      # and thus have LAPACK/MKL enabled
-      CONDA_CMAKE=yes
-    fi
-    if [[ "$image" == *centos7* ]]; then
-      NINJA_VERSION=1.10.2
-    fi
-    if [[ "$image" == *gcc* ]]; then
-      extract_version_from_image_name gcc GCC_VERSION
-    fi
-    if [[ "$image" == *clang* ]]; then
-      extract_version_from_image_name clang CLANG_VERSION
-    fi
-    if [[ "$image" == *devtoolset* ]]; then
-      extract_version_from_image_name devtoolset DEVTOOLSET_VERSION
-    fi
-    if [[ "$image" == *glibc* ]]; then
-      extract_version_from_image_name glibc GLIBC_VERSION
-    fi
-    if [[ "$image" == *cmake* ]]; then
-      extract_version_from_image_name cmake CMAKE_VERSION
-    fi
-  ;;
-esac
-
-tmp_tag=$(basename "$(mktemp -u)" | tr '[:upper:]' '[:lower:]')
-
-#when using cudnn version 8 install it separately from cuda
-if [[ "$image" == *cuda*  && ${OS} == "ubuntu" ]]; then
-  IMAGE_NAME="nvidia/cuda:${CUDA_VERSION}-cudnn${CUDNN_VERSION}-devel-ubuntu${UBUNTU_VERSION}"
-  if [[ ${CUDNN_VERSION} == 9 ]]; then
-    IMAGE_NAME="nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION}"
-  fi
-fi
-
-# Build image
-docker build \
-       --no-cache \
-       --progress=plain \
-       --build-arg "BUILD_ENVIRONMENT=${image}" \
-       --build-arg "PROTOBUF=${PROTOBUF:-}" \
-       --build-arg "LLVMDEV=${LLVMDEV:-}" \
-       --build-arg "DB=${DB:-}" \
-       --build-arg "VISION=${VISION:-}" \
-       --build-arg "UBUNTU_VERSION=${UBUNTU_VERSION}" \
-       --build-arg "CENTOS_VERSION=${CENTOS_VERSION}" \
-       --build-arg "DEVTOOLSET_VERSION=${DEVTOOLSET_VERSION}" \
-       --build-arg "GLIBC_VERSION=${GLIBC_VERSION}" \
-       --build-arg "CLANG_VERSION=${CLANG_VERSION}" \
-       --build-arg "ANACONDA_PYTHON_VERSION=${ANACONDA_PYTHON_VERSION}" \
-       --build-arg "GCC_VERSION=${GCC_VERSION}" \
-       --build-arg "CUDA_VERSION=${CUDA_VERSION}" \
-       --build-arg "CUDNN_VERSION=${CUDNN_VERSION}" \
-       --build-arg "TENSORRT_VERSION=${TENSORRT_VERSION}" \
-       --build-arg "ANDROID=${ANDROID}" \
-       --build-arg "ANDROID_NDK=${ANDROID_NDK_VERSION}" \
-       --build-arg "GRADLE_VERSION=${GRADLE_VERSION}" \
-       --build-arg "VULKAN_SDK_VERSION=${VULKAN_SDK_VERSION}" \
-       --build-arg "SWIFTSHADER=${SWIFTSHADER}" \
-       --build-arg "CMAKE_VERSION=${CMAKE_VERSION:-}" \
-       --build-arg "NINJA_VERSION=${NINJA_VERSION:-}" \
-       --build-arg "KATEX=${KATEX:-}" \
-       --build-arg "ROCM_VERSION=${ROCM_VERSION:-}" \
-       --build-arg "PYTORCH_ROCM_ARCH=${PYTORCH_ROCM_ARCH:-gfx906;gfx90a}" \
-       --build-arg "IMAGE_NAME=${IMAGE_NAME}" \
-       --build-arg "UCX_COMMIT=${UCX_COMMIT}" \
-       --build-arg "UCC_COMMIT=${UCC_COMMIT}" \
-       --build-arg "CONDA_CMAKE=${CONDA_CMAKE}" \
-       --build-arg "TRITON=${TRITON}" \
-       --build-arg "ONNX=${ONNX}" \
-       --build-arg "DOCS=${DOCS}" \
-       --build-arg "INDUCTOR_BENCHMARKS=${INDUCTOR_BENCHMARKS}" \
-       --build-arg "EXECUTORCH=${EXECUTORCH}" \
-       --build-arg "HALIDE=${HALIDE}" \
-       --build-arg "XPU_VERSION=${XPU_VERSION}" \
-       --build-arg "ACL=${ACL:-}" \
-       --build-arg "SKIP_SCCACHE_INSTALL=${SKIP_SCCACHE_INSTALL:-}" \
-       --build-arg "SKIP_LLVM_SRC_BUILD_INSTALL=${SKIP_LLVM_SRC_BUILD_INSTALL:-}" \
-       -f $(dirname ${DOCKERFILE})/Dockerfile \
-       -t "$tmp_tag" \
-       "$@" \
-       .
-
-# NVIDIA dockers for RC releases use tag names like `11.0-cudnn9-devel-ubuntu18.04-rc`,
-# for this case we will set UBUNTU_VERSION to `18.04-rc` so that the Dockerfile could
-# find the correct image. As a result, here we have to replace the
-#   "$UBUNTU_VERSION" == "18.04-rc"
-# with
-#   "$UBUNTU_VERSION" == "18.04"
-UBUNTU_VERSION=$(echo ${UBUNTU_VERSION} | sed 's/-rc$//')
-
-function drun() {
-  docker run --rm "$tmp_tag" $*
-}
-
-if [[ "$OS" == "ubuntu" ]]; then
-
-  if !(drun lsb_release -a 2>&1 | grep -qF Ubuntu); then
-    echo "OS=ubuntu, but:"
-    drun lsb_release -a
-    exit 1
-  fi
-  if !(drun lsb_release -a 2>&1 | grep -qF "$UBUNTU_VERSION"); then
-    echo "UBUNTU_VERSION=$UBUNTU_VERSION, but:"
-    drun lsb_release -a
-    exit 1
-  fi
-fi
-
-if [ -n "$ANACONDA_PYTHON_VERSION" ]; then
-  if !(drun python --version 2>&1 | grep -qF "Python $ANACONDA_PYTHON_VERSION"); then
-    echo "ANACONDA_PYTHON_VERSION=$ANACONDA_PYTHON_VERSION, but:"
-    drun python --version
-    exit 1
-  fi
-fi
-
-if [ -n "$GCC_VERSION" ]; then
-  if !(drun gcc --version 2>&1 | grep -q " $GCC_VERSION\\W"); then
-    echo "GCC_VERSION=$GCC_VERSION, but:"
-    drun gcc --version
-    exit 1
-  fi
-fi
-
-if [ -n "$CLANG_VERSION" ]; then
-  if !(drun clang --version 2>&1 | grep -qF "clang version $CLANG_VERSION"); then
-    echo "CLANG_VERSION=$CLANG_VERSION, but:"
-    drun clang --version
-    exit 1
-  fi
-fi
-
-if [ -n "$KATEX" ]; then
-  if !(drun katex --version); then
-    echo "KATEX=$KATEX, but:"
-    drun katex --version
-    exit 1
-  fi
-fi

.ci/docker/centos-rocm/Dockerfile

@@ -1,133 +0,0 @@
-ARG CENTOS_VERSION
-
-FROM centos:${CENTOS_VERSION}
-
-ARG CENTOS_VERSION
-
-# Set AMD gpu targets to build for
-ARG PYTORCH_ROCM_ARCH
-ENV PYTORCH_ROCM_ARCH ${PYTORCH_ROCM_ARCH}
-
-# Install required packages to build Caffe2
-
-# Install common dependencies (so that this step can be cached separately)
-COPY ./common/install_base.sh install_base.sh
-RUN bash ./install_base.sh && rm install_base.sh
-
-# Update CentOS git version
-RUN yum -y remove git
-RUN yum -y remove git-*
-RUN yum -y install https://packages.endpoint.com/rhel/7/os/x86_64/endpoint-repo-1.9-1.x86_64.rpm || \
-    (yum -y install https://packages.endpointdev.com/rhel/7/os/x86_64/endpoint-repo-1.9-1.x86_64.rpm && \
-    sed -i "s/packages.endpoint/packages.endpointdev/" /etc/yum.repos.d/endpoint.repo)
-RUN yum install -y git
-
-# Install devtoolset
-ARG DEVTOOLSET_VERSION
-COPY ./common/install_devtoolset.sh install_devtoolset.sh
-RUN bash ./install_devtoolset.sh && rm install_devtoolset.sh
-ENV BASH_ENV "/etc/profile"
-
-# (optional) Install non-default glibc version
-ARG GLIBC_VERSION
-COPY ./common/install_glibc.sh install_glibc.sh
-RUN if [ -n "${GLIBC_VERSION}" ]; then bash ./install_glibc.sh; fi
-RUN rm install_glibc.sh
-
-# Install user
-COPY ./common/install_user.sh install_user.sh
-RUN bash ./install_user.sh && rm install_user.sh
-
-# Install conda and other packages (e.g., numpy, pytest)
-ARG ANACONDA_PYTHON_VERSION
-ARG CONDA_CMAKE
-ENV ANACONDA_PYTHON_VERSION=$ANACONDA_PYTHON_VERSION
-ENV PATH /opt/conda/envs/py_$ANACONDA_PYTHON_VERSION/bin:/opt/conda/bin:$PATH
-COPY requirements-ci.txt /opt/conda/requirements-ci.txt
-COPY ./common/install_conda.sh install_conda.sh
-COPY ./common/common_utils.sh common_utils.sh
-RUN bash ./install_conda.sh && rm install_conda.sh common_utils.sh /opt/conda/requirements-ci.txt
-
-# (optional) Install protobuf for ONNX
-ARG PROTOBUF
-COPY ./common/install_protobuf.sh install_protobuf.sh
-RUN if [ -n "${PROTOBUF}" ]; then bash ./install_protobuf.sh; fi
-RUN rm install_protobuf.sh
-ENV INSTALLED_PROTOBUF ${PROTOBUF}
-
-# (optional) Install database packages like LMDB and LevelDB
-ARG DB
-COPY ./common/install_db.sh install_db.sh
-RUN if [ -n "${DB}" ]; then bash ./install_db.sh; fi
-RUN rm install_db.sh
-ENV INSTALLED_DB ${DB}
-
-# (optional) Install vision packages like OpenCV
-ARG VISION
-COPY ./common/install_vision.sh ./common/cache_vision_models.sh ./common/common_utils.sh ./
-RUN if [ -n "${VISION}" ]; then bash ./install_vision.sh; fi
-RUN rm install_vision.sh cache_vision_models.sh common_utils.sh
-ENV INSTALLED_VISION ${VISION}
-
-# Install rocm
-ARG ROCM_VERSION
-COPY ./common/install_rocm.sh install_rocm.sh
-RUN bash ./install_rocm.sh
-RUN rm install_rocm.sh
-COPY ./common/install_rocm_magma.sh install_rocm_magma.sh
-RUN bash ./install_rocm_magma.sh
-RUN rm install_rocm_magma.sh
-COPY ./common/install_amdsmi.sh install_amdsmi.sh
-RUN bash ./install_amdsmi.sh
-RUN rm install_amdsmi.sh
-ENV PATH /opt/rocm/bin:$PATH
-ENV PATH /opt/rocm/hcc/bin:$PATH
-ENV PATH /opt/rocm/hip/bin:$PATH
-ENV PATH /opt/rocm/opencl/bin:$PATH
-ENV PATH /opt/rocm/llvm/bin:$PATH
-ENV MAGMA_HOME /opt/rocm/magma
-ENV LANG en_US.utf8
-ENV LC_ALL en_US.utf8
-
-# (optional) Install non-default CMake version
-ARG CMAKE_VERSION
-COPY ./common/install_cmake.sh install_cmake.sh
-RUN if [ -n "${CMAKE_VERSION}" ]; then bash ./install_cmake.sh; fi
-RUN rm install_cmake.sh
-
-# (optional) Install non-default Ninja version
-ARG NINJA_VERSION
-COPY ./common/install_ninja.sh install_ninja.sh
-RUN if [ -n "${NINJA_VERSION}" ]; then bash ./install_ninja.sh; fi
-RUN rm install_ninja.sh
-
-ARG TRITON
-# Install triton, this needs to be done before sccache because the latter will
-# try to reach out to S3, which docker build runners don't have access
-ENV CMAKE_C_COMPILER cc
-ENV CMAKE_CXX_COMPILER c++
-COPY ./common/install_triton.sh install_triton.sh
-COPY ./common/common_utils.sh common_utils.sh
-COPY ci_commit_pins/triton.txt triton.txt
-COPY triton_version.txt triton_version.txt
-RUN if [ -n "${TRITON}" ]; then bash ./install_triton.sh; fi
-RUN rm install_triton.sh common_utils.sh triton.txt triton_version.txt
-
-# Install AOTriton (Early fail)
-COPY ./aotriton_version.txt aotriton_version.txt
-COPY ./common/common_utils.sh common_utils.sh
-COPY ./common/install_aotriton.sh install_aotriton.sh
-RUN ["/bin/bash", "-c", "./install_aotriton.sh /opt/rocm && rm -rf install_aotriton.sh aotriton_version.txt common_utils.sh"]
-ENV AOTRITON_INSTALLED_PREFIX /opt/rocm/aotriton
-
-# Install ccache/sccache (do this last, so we get priority in PATH)
-COPY ./common/install_cache.sh install_cache.sh
-ENV PATH /opt/cache/bin:$PATH
-RUN bash ./install_cache.sh && rm install_cache.sh
-
-# Include BUILD_ENVIRONMENT environment variable in image
-ARG BUILD_ENVIRONMENT
-ENV BUILD_ENVIRONMENT ${BUILD_ENVIRONMENT}
-
-USER jenkins
-CMD ["bash"]

.ci/docker/ci_commit_pins/executorch.txt

@@ -1 +0,0 @@
-cd1c833b079adb324871dcbbe75b43d42ffc0ade

.ci/docker/ci_commit_pins/halide.txt

@@ -1 +0,0 @@
-461c12871f336fe6f57b55d6a297f13ef209161b

.ci/docker/ci_commit_pins/huggingface.txt

@@ -1 +0,0 @@
-243e186efbf7fb93328dd6b34927a4e8c8f24395

.ci/docker/ci_commit_pins/timm.txt

@@ -1 +0,0 @@
-ac3470188b914c5d7a5058a7e28b9eb685a62427

.ci/docker/ci_commit_pins/triton-xpu.txt

@@ -1 +0,0 @@
-91b14bf5593cf58a8541f3e6b9125600a867d4ef

.ci/docker/ci_commit_pins/triton.txt

@@ -1 +0,0 @@
-5fe38ffd73c2ac6ed6323b554205186696631c6f

.ci/docker/common/cache_vision_models.sh

@@ -1,18 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-source "$(dirname "${BASH_SOURCE[0]}")/common_utils.sh"
-
-# Cache the test models at ~/.cache/torch/hub/
-IMPORT_SCRIPT_FILENAME="/tmp/torchvision_import_script.py"
-as_jenkins echo 'import torchvision; torchvision.models.mobilenet_v2(pretrained=True); torchvision.models.mobilenet_v3_large(pretrained=True);' > "${IMPORT_SCRIPT_FILENAME}"
-
-pip_install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu
-# Very weird quoting behavior here https://github.com/conda/conda/issues/10972,
-# so echo the command to a file and run the file instead
-conda_run python "${IMPORT_SCRIPT_FILENAME}"
-
-# Cleaning up
-conda_run pip uninstall -y torch torchvision
-rm "${IMPORT_SCRIPT_FILENAME}" || true

.ci/docker/common/common_utils.sh

@@ -1,36 +0,0 @@
-#!/bin/bash
-
-# Work around bug where devtoolset replaces sudo and breaks it.
-if [ -n "$DEVTOOLSET_VERSION" ]; then
-  export SUDO=/bin/sudo
-else
-  export SUDO=sudo
-fi
-
-as_jenkins() {
-  # NB: unsetting the environment variables works around a conda bug
-  # https://github.com/conda/conda/issues/6576
-  # NB: Pass on PATH and LD_LIBRARY_PATH to sudo invocation
-  # NB: This must be run from a directory that jenkins has access to,
-  # works around https://github.com/conda/conda-package-handling/pull/34
-  $SUDO -E -H -u jenkins env -u SUDO_UID -u SUDO_GID -u SUDO_COMMAND -u SUDO_USER env "PATH=$PATH" "LD_LIBRARY_PATH=$LD_LIBRARY_PATH" $*
-}
-
-conda_install() {
-  # Ensure that the install command don't upgrade/downgrade Python
-  # This should be called as
-  #   conda_install pkg1 pkg2 ... [-c channel]
-  as_jenkins conda install -q -n py_$ANACONDA_PYTHON_VERSION -y python="$ANACONDA_PYTHON_VERSION" $*
-}
-
-conda_run() {
-  as_jenkins conda run -n py_$ANACONDA_PYTHON_VERSION --no-capture-output $*
-}
-
-pip_install() {
-  as_jenkins conda run -n py_$ANACONDA_PYTHON_VERSION pip install --progress-bar off $*
-}
-
-get_pinned_commit() {
-  cat "${1}".txt
-}

.ci/docker/common/install_acl.sh

@@ -1,16 +0,0 @@
-set -euo pipefail
-
-readonly version=v24.04
-readonly src_host=https://review.mlplatform.org/ml
-readonly src_repo=ComputeLibrary
-
-# Clone ACL
-[[ ! -d ${src_repo} ]] && git clone ${src_host}/${src_repo}.git
-cd ${src_repo}
-
-git checkout $version
-
-# Build with scons
-scons -j8  Werror=0 debug=0 neon=1 opencl=0 embed_kernels=0 \
-  os=linux arch=armv8a build=native multi_isa=1 \
-  fixed_format_kernels=1 openmp=1 cppthreads=0

.ci/docker/common/install_amdsmi.sh

@@ -1,5 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-cd /opt/rocm/share/amd_smi && pip install .

.ci/docker/common/install_aotriton.sh

@@ -1,23 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-source "$(dirname "${BASH_SOURCE[0]}")/common_utils.sh"
-
-TARBALL='aotriton.tar.gz'
-# This read command alwasy returns with exit code 1
-read -d "\n" VER MANYLINUX ROCMBASE PINNED_COMMIT SHA256 < aotriton_version.txt || true
-ARCH=$(uname -m)
-AOTRITON_INSTALL_PREFIX="$1"
-AOTRITON_URL="https://github.com/ROCm/aotriton/releases/download/${VER}/aotriton-${VER}-${MANYLINUX}_${ARCH}-${ROCMBASE}-shared.tar.gz"
-
-cd "${AOTRITON_INSTALL_PREFIX}"
-# Must use -L to follow redirects
-curl -L --retry 3 -o "${TARBALL}" "${AOTRITON_URL}"
-ACTUAL_SHA256=$(sha256sum "${TARBALL}" | cut -d " " -f 1)
-if [ "${SHA256}" != "${ACTUAL_SHA256}" ]; then
-  echo -n "Error: The SHA256 of downloaded tarball is ${ACTUAL_SHA256},"
-  echo " which does not match the expected value ${SHA256}."
-  exit
-fi
-tar xf "${TARBALL}" && rm -rf "${TARBALL}"

.ci/docker/common/install_base.sh

@@ -1,159 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-install_ubuntu() {
-  # NVIDIA dockers for RC releases use tag names like `11.0-cudnn9-devel-ubuntu18.04-rc`,
-  # for this case we will set UBUNTU_VERSION to `18.04-rc` so that the Dockerfile could
-  # find the correct image. As a result, here we have to check for
-  #   "$UBUNTU_VERSION" == "18.04"*
-  # instead of
-  #   "$UBUNTU_VERSION" == "18.04"
-  if [[ "$UBUNTU_VERSION" == "20.04"* ]]; then
-    cmake3="cmake=3.16*"
-    maybe_libiomp_dev=""
-  elif [[ "$UBUNTU_VERSION" == "22.04"* ]]; then
-    cmake3="cmake=3.22*"
-    maybe_libiomp_dev=""
-  else
-    cmake3="cmake=3.5*"
-    maybe_libiomp_dev="libiomp-dev"
-  fi
-
-  if [[ "$CLANG_VERSION" == 15 ]]; then
-    maybe_libomp_dev="libomp-15-dev"
-  elif [[ "$CLANG_VERSION" == 12 ]]; then
-    maybe_libomp_dev="libomp-12-dev"
-  elif [[ "$CLANG_VERSION" == 10 ]]; then
-    maybe_libomp_dev="libomp-10-dev"
-  else
-    maybe_libomp_dev=""
-  fi
-
-  # HACK: UCC testing relies on libnccl library from NVIDIA repo, and version 2.16 crashes
-  # See https://github.com/pytorch/pytorch/pull/105260#issuecomment-1673399729
-  if [[ "$UBUNTU_VERSION" == "20.04"* && "$CUDA_VERSION" == "11.8"* ]]; then
-    maybe_libnccl_dev="libnccl2=2.15.5-1+cuda11.8 libnccl-dev=2.15.5-1+cuda11.8 --allow-downgrades --allow-change-held-packages"
-  else
-    maybe_libnccl_dev=""
-  fi
-
-  # Install common dependencies
-  apt-get update
-  # TODO: Some of these may not be necessary
-  ccache_deps="asciidoc docbook-xml docbook-xsl xsltproc"
-  deploy_deps="libffi-dev libbz2-dev libreadline-dev libncurses5-dev libncursesw5-dev libgdbm-dev libsqlite3-dev uuid-dev tk-dev"
-  numpy_deps="gfortran"
-  apt-get install -y --no-install-recommends \
-    $ccache_deps \
-    $numpy_deps \
-    ${deploy_deps} \
-    ${cmake3} \
-    apt-transport-https \
-    autoconf \
-    automake \
-    build-essential \
-    ca-certificates \
-    curl \
-    git \
-    libatlas-base-dev \
-    libc6-dbg \
-    ${maybe_libiomp_dev} \
-    libyaml-dev \
-    libz-dev \
-    libjemalloc2 \
-    libjpeg-dev \
-    libasound2-dev \
-    libsndfile-dev \
-    ${maybe_libomp_dev} \
-    ${maybe_libnccl_dev} \
-    software-properties-common \
-    wget \
-    sudo \
-    vim \
-    jq \
-    libtool \
-    vim \
-    unzip \
-    gpg-agent \
-    gdb
-
-  # Should resolve issues related to various apt package repository cert issues
-  # see: https://github.com/pytorch/pytorch/issues/65931
-  apt-get install -y libgnutls30
-
-  # Cleanup package manager
-  apt-get autoclean && apt-get clean
-  rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
-}
-
-install_centos() {
-  # Need EPEL for many packages we depend on.
-  # See http://fedoraproject.org/wiki/EPEL
-  yum --enablerepo=extras install -y epel-release
-
-  ccache_deps="asciidoc docbook-dtds docbook-style-xsl libxslt"
-  numpy_deps="gcc-gfortran"
-  # Note: protobuf-c-{compiler,devel} on CentOS are too old to be used
-  # for Caffe2. That said, we still install them to make sure the build
-  # system opts to build/use protoc and libprotobuf from third-party.
-  yum install -y \
-    $ccache_deps \
-    $numpy_deps \
-    autoconf \
-    automake \
-    bzip2 \
-    cmake \
-    cmake3 \
-    curl \
-    gcc \
-    gcc-c++ \
-    gflags-devel \
-    git \
-    glibc-devel \
-    glibc-headers \
-    glog-devel \
-    libstdc++-devel \
-    libsndfile-devel \
-    make \
-    opencv-devel \
-    sudo \
-    wget \
-    vim \
-    unzip \
-    gdb
-
-  # Cleanup
-  yum clean all
-  rm -rf /var/cache/yum
-  rm -rf /var/lib/yum/yumdb
-  rm -rf /var/lib/yum/history
-}
-
-# Install base packages depending on the base OS
-ID=$(grep -oP '(?<=^ID=).+' /etc/os-release | tr -d '"')
-case "$ID" in
-  ubuntu)
-    install_ubuntu
-    ;;
-  centos)
-    install_centos
-    ;;
-  *)
-    echo "Unable to determine OS..."
-    exit 1
-    ;;
-esac
-
-# Install Valgrind separately since the apt-get version is too old.
-mkdir valgrind_build && cd valgrind_build
-VALGRIND_VERSION=3.20.0
-wget https://ossci-linux.s3.amazonaws.com/valgrind-${VALGRIND_VERSION}.tar.bz2
-tar -xjf valgrind-${VALGRIND_VERSION}.tar.bz2
-cd valgrind-${VALGRIND_VERSION}
-./configure --prefix=/usr/local
-make -j$[$(nproc) - 2]
-sudo make install
-cd ../../
-rm -rf valgrind_build
-alias valgrind="/usr/local/bin/valgrind"

.ci/docker/common/install_clang.sh

@@ -1,44 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-if [ -n "$CLANG_VERSION" ]; then
-
-  if [[ $CLANG_VERSION == 9 && $UBUNTU_VERSION == 18.04 ]]; then
-    sudo apt-get update
-    # gpg-agent is not available by default on 18.04
-    sudo apt-get install  -y --no-install-recommends gpg-agent
-    wget --no-check-certificate -O - https://apt.llvm.org/llvm-snapshot.gpg.key | sudo apt-key add  -
-    apt-add-repository "deb http://apt.llvm.org/bionic/ llvm-toolchain-bionic-${CLANG_VERSION} main"
-  elif [[ $UBUNTU_VERSION == 22.04 ]]; then
-    # work around ubuntu apt-get conflicts
-    sudo apt-get -y -f install
-  fi
-
-  sudo apt-get update
-  apt-get install -y --no-install-recommends clang-"$CLANG_VERSION"
-  apt-get install -y --no-install-recommends llvm-"$CLANG_VERSION"
-
-  # Install dev version of LLVM.
-  if [ -n "$LLVMDEV" ]; then
-    sudo apt-get install -y --no-install-recommends llvm-"$CLANG_VERSION"-dev
-  fi
-
-  # Use update-alternatives to make this version the default
-  update-alternatives --install /usr/bin/clang clang /usr/bin/clang-"$CLANG_VERSION" 50
-  update-alternatives --install /usr/bin/clang++ clang++ /usr/bin/clang++-"$CLANG_VERSION" 50
-  # Override cc/c++ to clang as well
-  update-alternatives --install /usr/bin/cc cc /usr/bin/clang 50
-  update-alternatives --install /usr/bin/c++ c++ /usr/bin/clang++ 50
-
-  # clang's packaging is a little messed up (the runtime libs aren't
-  # added into the linker path), so give it a little help
-  clang_lib=("/usr/lib/llvm-$CLANG_VERSION/lib/clang/"*"/lib/linux")
-  echo "$clang_lib" > /etc/ld.so.conf.d/clang.conf
-  ldconfig
-
-  # Cleanup package manager
-  apt-get autoclean && apt-get clean
-  rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
-
-fi

.ci/docker/common/install_cmake.sh

@@ -1,31 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-[ -n "$CMAKE_VERSION" ]
-
-# Remove system cmake install so it won't get used instead
-ID=$(grep -oP '(?<=^ID=).+' /etc/os-release | tr -d '"')
-case "$ID" in
-  ubuntu)
-    apt-get remove cmake -y
-    ;;
-  centos)
-    yum remove cmake -y
-    ;;
-  *)
-    echo "Unable to determine OS..."
-    exit 1
-    ;;
-esac
-
-# Turn 3.6.3 into v3.6
-path=$(echo "${CMAKE_VERSION}" | sed -e 's/\([0-9].[0-9]\+\).*/v\1/')
-file="cmake-${CMAKE_VERSION}-Linux-x86_64.tar.gz"
-
-# Download and install specific CMake version in /usr/local
-pushd /tmp
-curl -Os --retry 3 "https://cmake.org/files/${path}/${file}"
-tar -C /usr/local --strip-components 1 --no-same-owner -zxf cmake-*.tar.gz
-rm -f cmake-*.tar.gz
-popd

.ci/docker/common/install_conda.sh

@@ -1,118 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-# Optionally install conda
-if [ -n "$ANACONDA_PYTHON_VERSION" ]; then
-  BASE_URL="https://repo.anaconda.com/miniconda"
-  CONDA_FILE="Miniconda3-latest-Linux-x86_64.sh"
-  if [[ $(uname -m) == "aarch64" ]] || [[ "$BUILD_ENVIRONMENT" == *xpu* ]]; then
-    BASE_URL="https://github.com/conda-forge/miniforge/releases/latest/download"
-    CONDA_FILE="Miniforge3-Linux-$(uname -m).sh"
-  fi
-
-  MAJOR_PYTHON_VERSION=$(echo "$ANACONDA_PYTHON_VERSION" | cut -d . -f 1)
-  MINOR_PYTHON_VERSION=$(echo "$ANACONDA_PYTHON_VERSION" | cut -d . -f 2)
-
-  case "$MAJOR_PYTHON_VERSION" in
-    3);;
-    *)
-      echo "Unsupported ANACONDA_PYTHON_VERSION: $ANACONDA_PYTHON_VERSION"
-      exit 1
-      ;;
-  esac
-
-  mkdir -p /opt/conda
-  chown jenkins:jenkins /opt/conda
-
-  source "$(dirname "${BASH_SOURCE[0]}")/common_utils.sh"
-
-  pushd /tmp
-  wget -q "${BASE_URL}/${CONDA_FILE}"
-  # NB: Manually invoke bash per https://github.com/conda/conda/issues/10431
-  as_jenkins bash "${CONDA_FILE}" -b -f -p "/opt/conda"
-  popd
-
-  # NB: Don't do this, rely on the rpath to get it right
-  #echo "/opt/conda/lib" > /etc/ld.so.conf.d/conda-python.conf
-  #ldconfig
-  sed -e 's|PATH="\(.*\)"|PATH="/opt/conda/bin:\1"|g' -i /etc/environment
-  export PATH="/opt/conda/bin:$PATH"
-
-  # Ensure we run conda in a directory that jenkins has write access to
-  pushd /opt/conda
-
-  # Prevent conda from updating to 4.14.0, which causes docker build failures
-  # See https://hud.pytorch.org/pytorch/pytorch/commit/754d7f05b6841e555cea5a4b2c505dd9e0baec1d
-  # Uncomment the below when resolved to track the latest conda update
-  # as_jenkins conda update -y -n base conda
-
-  if [[ $(uname -m) == "aarch64" ]]; then
-    export SYSROOT_DEP="sysroot_linux-aarch64=2.17"
-  else
-    export SYSROOT_DEP="sysroot_linux-64=2.17"
-  fi
-
-  # Install correct Python version
-  # Also ensure sysroot is using a modern GLIBC to match system compilers
-  as_jenkins conda create -n py_$ANACONDA_PYTHON_VERSION -y\
-             python="$ANACONDA_PYTHON_VERSION" \
-             ${SYSROOT_DEP}
-
-  # libstdcxx from conda default channels are too old, we need GLIBCXX_3.4.30
-  # which is provided in libstdcxx 12 and up.
-  conda_install libstdcxx-ng=12.3.0 -c conda-forge
-
-  # Install PyTorch conda deps, as per https://github.com/pytorch/pytorch README
-  if [[ $(uname -m) == "aarch64" ]]; then
-    CONDA_COMMON_DEPS="astunparse pyyaml setuptools openblas==0.3.25=*openmp* ninja==1.11.1 scons==4.5.2"
-
-    if [ "$ANACONDA_PYTHON_VERSION" = "3.8" ]; then
-      NUMPY_VERSION=1.24.4
-    else
-      NUMPY_VERSION=1.26.2
-    fi
-  else
-    CONDA_COMMON_DEPS="astunparse pyyaml mkl=2021.4.0 mkl-include=2021.4.0 setuptools"
-
-    if [ "$ANACONDA_PYTHON_VERSION" = "3.11" ] || [ "$ANACONDA_PYTHON_VERSION" = "3.12" ] || [ "$ANACONDA_PYTHON_VERSION" = "3.13" ]; then
-      NUMPY_VERSION=1.26.0
-    else
-      NUMPY_VERSION=1.21.2
-    fi
-  fi
-  conda_install ${CONDA_COMMON_DEPS}
-
-  # Install llvm-8 as it is required to compile llvmlite-0.30.0 from source
-  # and libpython-static for torch deploy
-  conda_install llvmdev=8.0.0 "libpython-static=${ANACONDA_PYTHON_VERSION}"
-
-  # Use conda cmake in some cases. Conda cmake will be newer than our supported
-  # min version (3.5 for xenial and 3.10 for bionic), so we only do it in those
-  # following builds that we know should use conda. Specifically, Ubuntu bionic
-  # and focal cannot find conda mkl with stock cmake, so we need a cmake from conda
-  if [ -n "${CONDA_CMAKE}" ]; then
-    conda_install cmake
-  fi
-
-  # Magma package names are concatenation of CUDA major and minor ignoring revision
-  # I.e. magma-cuda102 package corresponds to CUDA_VERSION=10.2 and CUDA_VERSION=10.2.89
-  if [ -n "$CUDA_VERSION" ]; then
-    conda_install magma-cuda$(TMP=${CUDA_VERSION/./};echo ${TMP%.*[0-9]}) -c pytorch
-  fi
-
-  # Install some other packages, including those needed for Python test reporting
-  pip_install -r /opt/conda/requirements-ci.txt
-  pip_install numpy=="$NUMPY_VERSION"
-  pip_install -U scikit-learn
-
-  if [ -n "$DOCS" ]; then
-    apt-get update
-    apt-get -y install expect-dev
-
-    # We are currently building docs with python 3.8 (min support version)
-    pip_install -r /opt/conda/requirements-docs.txt
-  fi
-
-  popd
-fi

.ci/docker/common/install_conda_docker.sh

@@ -1,20 +0,0 @@
-#!/bin/bash
-# Script used only in CD pipeline
-set -ex
-
-# Anaconda
-# Latest anaconda is using openssl-3 which is incompatible with all currently published versions of git
-# Which are using openssl-1.1.1, see https://anaconda.org/anaconda/git/files?version=2.40.1 for example
-MINICONDA_URL=https://repo.anaconda.com/miniconda/Miniconda3-py311_23.5.2-0-Linux-x86_64.sh
-wget -q $MINICONDA_URL
-# NB: Manually invoke bash per https://github.com/conda/conda/issues/10431
-bash $(basename "$MINICONDA_URL") -b -p /opt/conda
-rm $(basename "$MINICONDA_URL")
-export PATH=/opt/conda/bin:$PATH
-# See https://github.com/pytorch/builder/issues/1473
-# Pin conda to 23.5.2 as it's the last one compatible with openssl-1.1.1
-conda install -y conda=23.5.2 conda-build anaconda-client git ninja
-# The cmake version here needs to match with the minimum version of cmake
-# supported by PyTorch (3.18). There is only 3.18.2 on anaconda
-/opt/conda/bin/pip3 install cmake==3.18.2
-conda remove -y --force patchelf

.ci/docker/common/install_cpython.sh

@@ -1,112 +0,0 @@
-#!/bin/bash
-# Script used only in CD pipeline
-set -uex -o pipefail
-
-PYTHON_DOWNLOAD_URL=https://www.python.org/ftp/python
-PYTHON_DOWNLOAD_GITHUB_BRANCH=https://github.com/python/cpython/archive/refs/heads
-GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py
-
-# Python versions to be installed in /opt/$VERSION_NO
-CPYTHON_VERSIONS=${CPYTHON_VERSIONS:-"3.8.1 3.9.0 3.10.1 3.11.0 3.12.0 3.13.0 3.13.0t"}
-
-function check_var {
-    if [ -z "$1" ]; then
-        echo "required variable not defined"
-        exit 1
-    fi
-}
-
-function do_cpython_build {
-    local py_ver=$1
-    local py_folder=$2
-    check_var $py_ver
-    check_var $py_folder
-    tar -xzf Python-$py_ver.tgz
-
-    local additional_flags=""
-    if [ "$py_ver" == "3.13.0t" ]; then
-        additional_flags=" --disable-gil"
-        mv cpython-3.13/ cpython-3.13t/
-    fi
-
-    pushd $py_folder
-
-    local prefix="/opt/_internal/cpython-${py_ver}"
-    mkdir -p ${prefix}/lib
-    if [[ -n $(which patchelf) ]]; then
-        local shared_flags="--enable-shared"
-    else
-        local shared_flags="--disable-shared"
-    fi
-    if [[ -z  "${WITH_OPENSSL+x}" ]]; then
-        local openssl_flags=""
-    else
-        local openssl_flags="--with-openssl=${WITH_OPENSSL} --with-openssl-rpath=auto"
-    fi
-
-
-
-    # -Wformat added for https://bugs.python.org/issue17547 on Python 2.6
-    CFLAGS="-Wformat" ./configure --prefix=${prefix} ${openssl_flags} ${shared_flags} ${additional_flags} > /dev/null
-
-    make -j40 > /dev/null
-    make install > /dev/null
-
-    if [[ "${shared_flags}" == "--enable-shared" ]]; then
-        patchelf --set-rpath '$ORIGIN/../lib' ${prefix}/bin/python3
-    fi
-
-    popd
-    rm -rf $py_folder
-    # Some python's install as bin/python3. Make them available as
-    # bin/python.
-    if [ -e ${prefix}/bin/python3 ]; then
-        ln -s python3 ${prefix}/bin/python
-    fi
-    ${prefix}/bin/python get-pip.py
-    if [ -e ${prefix}/bin/pip3 ] && [ ! -e ${prefix}/bin/pip ]; then
-        ln -s pip3 ${prefix}/bin/pip
-    fi
-    # install setuptools since python 3.12 is required to use distutils
-    ${prefix}/bin/pip install wheel==0.34.2 setuptools==68.2.2
-    local abi_tag=$(${prefix}/bin/python -c "from wheel.pep425tags import get_abbr_impl, get_impl_ver, get_abi_tag; print('{0}{1}-{2}'.format(get_abbr_impl(), get_impl_ver(), get_abi_tag()))")
-    ln -s ${prefix} /opt/python/${abi_tag}
-}
-
-function build_cpython {
-    local py_ver=$1
-    check_var $py_ver
-    check_var $PYTHON_DOWNLOAD_URL
-    local py_ver_folder=$py_ver
-
-    if [ "$py_ver" = "3.13.0t" ]; then
-        PY_VER_SHORT="3.13"
-        PYT_VER_SHORT="3.13t"
-        check_var $PYTHON_DOWNLOAD_GITHUB_BRANCH
-        wget $PYTHON_DOWNLOAD_GITHUB_BRANCH/$PY_VER_SHORT.tar.gz -O Python-$py_ver.tgz
-        do_cpython_build $py_ver cpython-$PYT_VER_SHORT
-    elif [ "$py_ver" = "3.13.0" ]; then
-        PY_VER_SHORT="3.13"
-        check_var $PYTHON_DOWNLOAD_GITHUB_BRANCH
-        wget $PYTHON_DOWNLOAD_GITHUB_BRANCH/$PY_VER_SHORT.tar.gz -O Python-$py_ver.tgz
-        do_cpython_build $py_ver cpython-$PY_VER_SHORT
-    else
-        wget -q $PYTHON_DOWNLOAD_URL/$py_ver_folder/Python-$py_ver.tgz
-        do_cpython_build $py_ver Python-$py_ver
-    fi
-
-    rm -f Python-$py_ver.tgz
-}
-
-function build_cpythons {
-    check_var $GET_PIP_URL
-    curl -sLO $GET_PIP_URL
-    for py_ver in $@; do
-        build_cpython $py_ver
-    done
-    rm -f get-pip.py
-}
-
-mkdir -p /opt/python
-mkdir -p /opt/_internal
-build_cpythons $CPYTHON_VERSIONS

.ci/docker/common/install_cuda.sh

@@ -1,250 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-NCCL_VERSION=v2.21.5-1
-CUDNN_VERSION=9.1.0.70
-
-function install_cusparselt_040 {
-    # cuSparseLt license: https://docs.nvidia.com/cuda/cusparselt/license.html
-    mkdir tmp_cusparselt && pushd tmp_cusparselt
-    wget -q https://developer.download.nvidia.com/compute/cusparselt/redist/libcusparse_lt/linux-x86_64/libcusparse_lt-linux-x86_64-0.4.0.7-archive.tar.xz
-    tar xf libcusparse_lt-linux-x86_64-0.4.0.7-archive.tar.xz
-    cp -a libcusparse_lt-linux-x86_64-0.4.0.7-archive/include/* /usr/local/cuda/include/
-    cp -a libcusparse_lt-linux-x86_64-0.4.0.7-archive/lib/* /usr/local/cuda/lib64/
-    popd
-    rm -rf tmp_cusparselt
-}
-
-function install_cusparselt_052 {
-    # cuSparseLt license: https://docs.nvidia.com/cuda/cusparselt/license.html
-    mkdir tmp_cusparselt && pushd tmp_cusparselt
-    wget -q https://developer.download.nvidia.com/compute/cusparselt/redist/libcusparse_lt/linux-x86_64/libcusparse_lt-linux-x86_64-0.5.2.1-archive.tar.xz
-    tar xf libcusparse_lt-linux-x86_64-0.5.2.1-archive.tar.xz
-    cp -a libcusparse_lt-linux-x86_64-0.5.2.1-archive/include/* /usr/local/cuda/include/
-    cp -a libcusparse_lt-linux-x86_64-0.5.2.1-archive/lib/* /usr/local/cuda/lib64/
-    popd
-    rm -rf tmp_cusparselt
-}
-
-function install_cusparselt_062 {
-    # cuSparseLt license: https://docs.nvidia.com/cuda/cusparselt/license.html
-    mkdir tmp_cusparselt && pushd tmp_cusparselt
-    wget -q https://developer.download.nvidia.com/compute/cusparselt/redist/libcusparse_lt/linux-x86_64/libcusparse_lt-linux-x86_64-0.6.2.3-archive.tar.xz
-    tar xf libcusparse_lt-linux-x86_64-0.6.2.3-archive.tar.xz
-    cp -a libcusparse_lt-linux-x86_64-0.6.2.3-archive/include/* /usr/local/cuda/include/
-    cp -a libcusparse_lt-linux-x86_64-0.6.2.3-archive/lib/* /usr/local/cuda/lib64/
-    popd
-    rm -rf tmp_cusparselt
-}
-
-function install_118 {
-    echo "Installing CUDA 11.8 and cuDNN ${CUDNN_VERSION} and NCCL ${NCCL_VERSION} and cuSparseLt-0.4.0"
-    rm -rf /usr/local/cuda-11.8 /usr/local/cuda
-    # install CUDA 11.8.0 in the same container
-    wget -q https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run
-    chmod +x cuda_11.8.0_520.61.05_linux.run
-    ./cuda_11.8.0_520.61.05_linux.run --toolkit --silent
-    rm -f cuda_11.8.0_520.61.05_linux.run
-    rm -f /usr/local/cuda && ln -s /usr/local/cuda-11.8 /usr/local/cuda
-
-    # cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
-    mkdir tmp_cudnn && cd tmp_cudnn
-    wget -q https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-${CUDNN_VERSION}_cuda11-archive.tar.xz -O cudnn-linux-x86_64-${CUDNN_VERSION}_cuda11-archive.tar.xz
-    tar xf cudnn-linux-x86_64-${CUDNN_VERSION}_cuda11-archive.tar.xz
-    cp -a cudnn-linux-x86_64-${CUDNN_VERSION}_cuda11-archive/include/* /usr/local/cuda/include/
-    cp -a cudnn-linux-x86_64-${CUDNN_VERSION}_cuda11-archive/lib/* /usr/local/cuda/lib64/
-    cd ..
-    rm -rf tmp_cudnn
-
-    # NCCL license: https://docs.nvidia.com/deeplearning/nccl/#licenses
-    # Follow build: https://github.com/NVIDIA/nccl/tree/master?tab=readme-ov-file#build
-    git clone -b $NCCL_VERSION --depth 1 https://github.com/NVIDIA/nccl.git
-    cd nccl && make -j src.build
-    cp -a build/include/* /usr/local/cuda/include/
-    cp -a build/lib/* /usr/local/cuda/lib64/
-    cd ..
-    rm -rf nccl
-
-    install_cusparselt_040
-
-    ldconfig
-}
-
-function install_121 {
-    echo "Installing CUDA 12.1 and cuDNN ${CUDNN_VERSION} and NCCL ${NCCL_VERSION} and cuSparseLt-0.5.2"
-    rm -rf /usr/local/cuda-12.1 /usr/local/cuda
-    # install CUDA 12.1.0 in the same container
-    wget -q https://developer.download.nvidia.com/compute/cuda/12.1.1/local_installers/cuda_12.1.1_530.30.02_linux.run
-    chmod +x cuda_12.1.1_530.30.02_linux.run
-    ./cuda_12.1.1_530.30.02_linux.run --toolkit --silent
-    rm -f cuda_12.1.1_530.30.02_linux.run
-    rm -f /usr/local/cuda && ln -s /usr/local/cuda-12.1 /usr/local/cuda
-
-    # cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
-    mkdir tmp_cudnn && cd tmp_cudnn
-    wget -q https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz -O cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz
-    tar xf cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz
-    cp -a cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive/include/* /usr/local/cuda/include/
-    cp -a cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive/lib/* /usr/local/cuda/lib64/
-    cd ..
-    rm -rf tmp_cudnn
-
-    # NCCL license: https://docs.nvidia.com/deeplearning/nccl/#licenses
-    # Follow build: https://github.com/NVIDIA/nccl/tree/master?tab=readme-ov-file#build
-    git clone -b $NCCL_VERSION --depth 1 https://github.com/NVIDIA/nccl.git
-    cd nccl && make -j src.build
-    cp -a build/include/* /usr/local/cuda/include/
-    cp -a build/lib/* /usr/local/cuda/lib64/
-    cd ..
-    rm -rf nccl
-
-    install_cusparselt_052
-
-    ldconfig
-}
-
-function install_124 {
-  echo "Installing CUDA 12.4.1 and cuDNN ${CUDNN_VERSION} and NCCL ${NCCL_VERSION} and cuSparseLt-0.5.2"
-  rm -rf /usr/local/cuda-12.4 /usr/local/cuda
-  # install CUDA 12.4.1 in the same container
-  wget -q https://developer.download.nvidia.com/compute/cuda/12.4.1/local_installers/cuda_12.4.1_550.54.15_linux.run
-  chmod +x cuda_12.4.1_550.54.15_linux.run
-  ./cuda_12.4.1_550.54.15_linux.run --toolkit --silent
-  rm -f cuda_12.4.1_550.54.15_linux.run
-  rm -f /usr/local/cuda && ln -s /usr/local/cuda-12.4 /usr/local/cuda
-
-  # cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
-  mkdir tmp_cudnn && cd tmp_cudnn
-  wget -q https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz -O cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz
-  tar xf cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz
-  cp -a cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive/include/* /usr/local/cuda/include/
-  cp -a cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive/lib/* /usr/local/cuda/lib64/
-  cd ..
-  rm -rf tmp_cudnn
-
-  # NCCL license: https://docs.nvidia.com/deeplearning/nccl/#licenses
-  # Follow build: https://github.com/NVIDIA/nccl/tree/master?tab=readme-ov-file#build
-  git clone -b $NCCL_VERSION --depth 1 https://github.com/NVIDIA/nccl.git
-  cd nccl && make -j src.build
-  cp -a build/include/* /usr/local/cuda/include/
-  cp -a build/lib/* /usr/local/cuda/lib64/
-  cd ..
-  rm -rf nccl
-
-  install_cusparselt_062
-
-  ldconfig
-}
-
-function prune_118 {
-    echo "Pruning CUDA 11.8 and cuDNN"
-    #####################################################################################
-    # CUDA 11.8 prune static libs
-    #####################################################################################
-    export NVPRUNE="/usr/local/cuda-11.8/bin/nvprune"
-    export CUDA_LIB_DIR="/usr/local/cuda-11.8/lib64"
-
-    export GENCODE="-gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90"
-    export GENCODE_CUDNN="-gencode arch=compute_35,code=sm_35 -gencode arch=compute_37,code=sm_37 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90"
-
-    if [[ -n "$OVERRIDE_GENCODE" ]]; then
-        export GENCODE=$OVERRIDE_GENCODE
-    fi
-
-    # all CUDA libs except CuDNN and CuBLAS (cudnn and cublas need arch 3.7 included)
-    ls $CUDA_LIB_DIR/ | grep "\.a" | grep -v "culibos" | grep -v "cudart" | grep -v "cudnn" | grep -v "cublas" | grep -v "metis"  \
-      | xargs -I {} bash -c \
-                "echo {} && $NVPRUNE $GENCODE $CUDA_LIB_DIR/{} -o $CUDA_LIB_DIR/{}"
-
-    # prune CuDNN and CuBLAS
-    $NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublas_static.a -o $CUDA_LIB_DIR/libcublas_static.a
-    $NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublasLt_static.a -o $CUDA_LIB_DIR/libcublasLt_static.a
-
-    #####################################################################################
-    # CUDA 11.8 prune visual tools
-    #####################################################################################
-    export CUDA_BASE="/usr/local/cuda-11.8/"
-    rm -rf $CUDA_BASE/libnvvp $CUDA_BASE/nsightee_plugins $CUDA_BASE/nsight-compute-2022.3.0 $CUDA_BASE/nsight-systems-2022.4.2/
-}
-
-function prune_121 {
-  echo "Pruning CUDA 12.1"
-  #####################################################################################
-  # CUDA 12.1 prune static libs
-  #####################################################################################
-    export NVPRUNE="/usr/local/cuda-12.1/bin/nvprune"
-    export CUDA_LIB_DIR="/usr/local/cuda-12.1/lib64"
-
-    export GENCODE="-gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90"
-    export GENCODE_CUDNN="-gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90"
-
-    if [[ -n "$OVERRIDE_GENCODE" ]]; then
-        export GENCODE=$OVERRIDE_GENCODE
-    fi
-
-    # all CUDA libs except CuDNN and CuBLAS
-    ls $CUDA_LIB_DIR/ | grep "\.a" | grep -v "culibos" | grep -v "cudart" | grep -v "cudnn" | grep -v "cublas" | grep -v "metis"  \
-      | xargs -I {} bash -c \
-                "echo {} && $NVPRUNE $GENCODE $CUDA_LIB_DIR/{} -o $CUDA_LIB_DIR/{}"
-
-    # prune CuDNN and CuBLAS
-    $NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublas_static.a -o $CUDA_LIB_DIR/libcublas_static.a
-    $NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublasLt_static.a -o $CUDA_LIB_DIR/libcublasLt_static.a
-
-    #####################################################################################
-    # CUDA 12.1 prune visual tools
-    #####################################################################################
-    export CUDA_BASE="/usr/local/cuda-12.1/"
-    rm -rf $CUDA_BASE/libnvvp $CUDA_BASE/nsightee_plugins $CUDA_BASE/nsight-compute-2023.1.0 $CUDA_BASE/nsight-systems-2023.1.2/
-}
-
-function prune_124 {
-  echo "Pruning CUDA 12.4"
-  #####################################################################################
-  # CUDA 12.4 prune static libs
-  #####################################################################################
-  export NVPRUNE="/usr/local/cuda-12.4/bin/nvprune"
-  export CUDA_LIB_DIR="/usr/local/cuda-12.4/lib64"
-
-  export GENCODE="-gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90"
-  export GENCODE_CUDNN="-gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90"
-
-  if [[ -n "$OVERRIDE_GENCODE" ]]; then
-      export GENCODE=$OVERRIDE_GENCODE
-  fi
-  if [[ -n "$OVERRIDE_GENCODE_CUDNN" ]]; then
-      export GENCODE_CUDNN=$OVERRIDE_GENCODE_CUDNN
-  fi
-
-  # all CUDA libs except CuDNN and CuBLAS
-  ls $CUDA_LIB_DIR/ | grep "\.a" | grep -v "culibos" | grep -v "cudart" | grep -v "cudnn" | grep -v "cublas" | grep -v "metis"  \
-      | xargs -I {} bash -c \
-                "echo {} && $NVPRUNE $GENCODE $CUDA_LIB_DIR/{} -o $CUDA_LIB_DIR/{}"
-
-  # prune CuDNN and CuBLAS
-  $NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublas_static.a -o $CUDA_LIB_DIR/libcublas_static.a
-  $NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublasLt_static.a -o $CUDA_LIB_DIR/libcublasLt_static.a
-
-  #####################################################################################
-  # CUDA 12.1 prune visual tools
-  #####################################################################################
-  export CUDA_BASE="/usr/local/cuda-12.4/"
-  rm -rf $CUDA_BASE/libnvvp $CUDA_BASE/nsightee_plugins $CUDA_BASE/nsight-compute-2024.1.0 $CUDA_BASE/nsight-systems-2023.4.4/
-}
-
-# idiomatic parameter and option handling in sh
-while test $# -gt 0
-do
-    case "$1" in
-    11.8) install_118; prune_118
-        ;;
-    12.1) install_121; prune_121
-        ;;
-    12.4) install_124; prune_124
-        ;;
-    *) echo "bad argument $1"; exit 1
-        ;;
-    esac
-    shift
-done

.ci/docker/common/install_cuda_aarch64.sh

@@ -1,93 +0,0 @@
-#!/bin/bash
-# Script used only in CD pipeline
-
-set -ex
-
-NCCL_VERSION=v2.21.5-1
-
-function install_cusparselt_052 {
-    # cuSparseLt license: https://docs.nvidia.com/cuda/cusparselt/license.html
-    mkdir tmp_cusparselt && pushd tmp_cusparselt
-    wget -q https://developer.download.nvidia.com/compute/cusparselt/redist/libcusparse_lt/linux-sbsa/libcusparse_lt-linux-sbsa-0.5.2.1-archive.tar.xz
-    tar xf libcusparse_lt-linux-sbsa-0.5.2.1-archive.tar.xz
-    cp -a libcusparse_lt-linux-sbsa-0.5.2.1-archive/include/* /usr/local/cuda/include/
-    cp -a libcusparse_lt-linux-sbsa-0.5.2.1-archive/lib/* /usr/local/cuda/lib64/
-    popd
-    rm -rf tmp_cusparselt
-}
-
-function install_124 {
-  echo "Installing CUDA 12.4.1 and cuDNN 9.1 and NCCL ${NCCL_VERSION} and cuSparseLt-0.5.2"
-  rm -rf /usr/local/cuda-12.4 /usr/local/cuda
-  # install CUDA 12.4.1 in the same container
-  wget -q https://developer.download.nvidia.com/compute/cuda/12.4.1/local_installers/cuda_12.4.1_550.54.15_linux_sbsa.run
-  chmod +x cuda_12.4.1_550.54.15_linux_sbsa.run
-  ./cuda_12.4.1_550.54.15_linux_sbsa.run --toolkit --silent
-  rm -f cuda_12.4.1_550.54.15_linux_sbsa.run
-  rm -f /usr/local/cuda && ln -s /usr/local/cuda-12.4 /usr/local/cuda
-
-  # cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
-  mkdir tmp_cudnn && cd tmp_cudnn
-  wget -q https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-sbsa/cudnn-linux-sbsa-9.1.0.70_cuda12-archive.tar.xz -O cudnn-linux-sbsa-9.1.0.70_cuda12-archive.tar.xz
-  tar xf cudnn-linux-sbsa-9.1.0.70_cuda12-archive.tar.xz
-  cp -a cudnn-linux-sbsa-9.1.0.70_cuda12-archive/include/* /usr/local/cuda/include/
-  cp -a cudnn-linux-sbsa-9.1.0.70_cuda12-archive/lib/* /usr/local/cuda/lib64/
-  cd ..
-  rm -rf tmp_cudnn
-
-  # NCCL license: https://docs.nvidia.com/deeplearning/nccl/#licenses
-  # Follow build: https://github.com/NVIDIA/nccl/tree/master?tab=readme-ov-file#build
-  git clone -b ${NCCL_VERSION} --depth 1 https://github.com/NVIDIA/nccl.git
-  cd nccl && make -j src.build
-  cp -a build/include/* /usr/local/cuda/include/
-  cp -a build/lib/* /usr/local/cuda/lib64/
-  cd ..
-  rm -rf nccl
-
-  install_cusparselt_052
-
-  ldconfig
-}
-
-function prune_124 {
-  echo "Pruning CUDA 12.4"
-  #####################################################################################
-  # CUDA 12.4 prune static libs
-  #####################################################################################
-  export NVPRUNE="/usr/local/cuda-12.4/bin/nvprune"
-  export CUDA_LIB_DIR="/usr/local/cuda-12.4/lib64"
-
-  export GENCODE="-gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90"
-  export GENCODE_CUDNN="-gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90"
-
-  if [[ -n "$OVERRIDE_GENCODE" ]]; then
-      export GENCODE=$OVERRIDE_GENCODE
-  fi
-
-  # all CUDA libs except CuDNN and CuBLAS
-  ls $CUDA_LIB_DIR/ | grep "\.a" | grep -v "culibos" | grep -v "cudart" | grep -v "cudnn" | grep -v "cublas" | grep -v "metis"  \
-      | xargs -I {} bash -c \
-                "echo {} && $NVPRUNE $GENCODE $CUDA_LIB_DIR/{} -o $CUDA_LIB_DIR/{}"
-
-  # prune CuDNN and CuBLAS
-  $NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublas_static.a -o $CUDA_LIB_DIR/libcublas_static.a
-  $NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublasLt_static.a -o $CUDA_LIB_DIR/libcublasLt_static.a
-
-  #####################################################################################
-  # CUDA 12.1 prune visual tools
-  #####################################################################################
-  export CUDA_BASE="/usr/local/cuda-12.4/"
-  rm -rf $CUDA_BASE/libnvvp $CUDA_BASE/nsightee_plugins $CUDA_BASE/nsight-compute-2024.1.0 $CUDA_BASE/nsight-systems-2023.4.4/
-}
-
-# idiomatic parameter and option handling in sh
-while test $# -gt 0
-do
-    case "$1" in
-    12.4) install_124; prune_124
-        ;;
-    *) echo "bad argument $1"; exit 1
-        ;;
-    esac
-    shift
-done

.ci/docker/common/install_cudnn.sh

@@ -1,22 +0,0 @@
-#!/bin/bash
-
-if [[ -n "${CUDNN_VERSION}" ]]; then
-    # cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
-    mkdir tmp_cudnn
-    pushd tmp_cudnn
-    if [[ ${CUDA_VERSION:0:2} == "12" ]]; then
-        CUDNN_NAME="cudnn-linux-x86_64-9.1.0.70_cuda12-archive"
-    elif [[ ${CUDA_VERSION:0:2} == "11" ]]; then
-        CUDNN_NAME="cudnn-linux-x86_64-9.1.0.70_cuda11-archive"
-    else
-        print "Unsupported CUDA version ${CUDA_VERSION}"
-        exit 1
-    fi
-    curl --retry 3 -OLs https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/${CUDNN_NAME}.tar.xz
-    tar xf ${CUDNN_NAME}.tar.xz
-    cp -a ${CUDNN_NAME}/include/* /usr/local/cuda/include/
-    cp -a ${CUDNN_NAME}/lib/* /usr/local/cuda/lib64/
-    popd
-    rm -rf tmp_cudnn
-    ldconfig
-fi

.ci/docker/common/install_cudss.sh

@@ -1,25 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-# cudss license: https://docs.nvidia.com/cuda/cudss/license.html
-mkdir tmp_cudss && cd tmp_cudss
-
-if [[ ${CUDA_VERSION:0:4} =~ ^12\.[1-4]$ ]]; then
-    arch_path='sbsa'
-    export TARGETARCH=${TARGETARCH:-$(uname -m)}
-    if [ ${TARGETARCH} = 'amd64' ] || [ "${TARGETARCH}" = 'x86_64' ]; then
-        arch_path='x86_64'
-    fi
-    CUDSS_NAME="libcudss-linux-${arch_path}-0.3.0.9_cuda12-archive"
-    curl --retry 3 -OLs https://developer.download.nvidia.com/compute/cudss/redist/libcudss/linux-${arch_path}/${CUDSS_NAME}.tar.xz
-
-    # only for cuda 12
-    tar xf ${CUDSS_NAME}.tar.xz
-    cp -a ${CUDSS_NAME}/include/* /usr/local/cuda/include/
-    cp -a ${CUDSS_NAME}/lib/* /usr/local/cuda/lib64/
-fi
-
-cd ..
-rm -rf tmp_cudss
-ldconfig

.ci/docker/common/install_cusparselt.sh

@@ -1,34 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-# cuSPARSELt license: https://docs.nvidia.com/cuda/cusparselt/license.html
-mkdir tmp_cusparselt && cd tmp_cusparselt
-
-if [[ ${CUDA_VERSION:0:4} =~ ^12\.[2-6]$ ]]; then
-    arch_path='sbsa'
-    export TARGETARCH=${TARGETARCH:-$(uname -m)}
-    if [ ${TARGETARCH} = 'amd64' ] || [ "${TARGETARCH}" = 'x86_64' ]; then
-        arch_path='x86_64'
-    fi
-    CUSPARSELT_NAME="libcusparse_lt-linux-${arch_path}-0.6.2.3-archive"
-    curl --retry 3 -OLs https://developer.download.nvidia.com/compute/cusparselt/redist/libcusparse_lt/linux-${arch_path}/${CUSPARSELT_NAME}.tar.xz
-elif [[ ${CUDA_VERSION:0:4} == "12.1" ]]; then
-    arch_path='sbsa'
-    export TARGETARCH=${TARGETARCH:-$(uname -m)}
-    if [ ${TARGETARCH} = 'amd64' ] || [ "${TARGETARCH}" = 'x86_64' ]; then
-        arch_path='x86_64'
-    fi
-    CUSPARSELT_NAME="libcusparse_lt-linux-${arch_path}-0.5.2.1-archive"
-    curl --retry 3 -OLs https://developer.download.nvidia.com/compute/cusparselt/redist/libcusparse_lt/linux-${arch_path}/${CUSPARSELT_NAME}.tar.xz
-elif [[ ${CUDA_VERSION:0:4} == "11.8" ]]; then
-    CUSPARSELT_NAME="libcusparse_lt-linux-x86_64-0.4.0.7-archive"
-    curl --retry 3 -OLs https://developer.download.nvidia.com/compute/cusparselt/redist/libcusparse_lt/linux-x86_64/${CUSPARSELT_NAME}.tar.xz
-fi
-
-tar xf ${CUSPARSELT_NAME}.tar.xz
-cp -a ${CUSPARSELT_NAME}/include/* /usr/local/cuda/include/
-cp -a ${CUSPARSELT_NAME}/lib/* /usr/local/cuda/lib64/
-cd ..
-rm -rf tmp_cusparselt
-ldconfig

.ci/docker/common/install_db.sh

@@ -1,38 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-install_ubuntu() {
-  apt-get update
-
-  # Cleanup
-  apt-get autoclean && apt-get clean
-  rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
-}
-
-install_centos() {
-  # Need EPEL for many packages we depend on.
-  # See http://fedoraproject.org/wiki/EPEL
-  yum --enablerepo=extras install -y epel-release
-
-  # Cleanup
-  yum clean all
-  rm -rf /var/cache/yum
-  rm -rf /var/lib/yum/yumdb
-  rm -rf /var/lib/yum/history
-}
-
-# Install base packages depending on the base OS
-ID=$(grep -oP '(?<=^ID=).+' /etc/os-release | tr -d '"')
-case "$ID" in
-  ubuntu)
-    install_ubuntu
-    ;;
-  centos)
-    install_centos
-    ;;
-  *)
-    echo "Unable to determine OS..."
-    exit 1
-    ;;
-esac

.ci/docker/common/install_docs_reqs.sh

@@ -1,25 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-if [ -n "$KATEX" ]; then
-  apt-get update
-  # Ignore error if gpg-agent doesn't exist (for Ubuntu 16.04)
-  apt-get install -y gpg-agent || :
-
-  curl --retry 3 -sL https://deb.nodesource.com/setup_16.x | sudo -E bash -
-  sudo apt-get install -y nodejs
-
-  curl --retry 3 -sS https://dl.yarnpkg.com/debian/pubkey.gpg | sudo apt-key add -
-  echo "deb https://dl.yarnpkg.com/debian/ stable main" | sudo tee /etc/apt/sources.list.d/yarn.list
-
-  apt-get update
-  apt-get install -y --no-install-recommends yarn
-  yarn global add katex --prefix /usr/local
-
-  sudo apt-get -y install doxygen
-
-  apt-get autoclean && apt-get clean
-  rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
-
-fi

.ci/docker/common/install_executorch.sh

@@ -1,65 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-source "$(dirname "${BASH_SOURCE[0]}")/common_utils.sh"
-
-clone_executorch() {
-  EXECUTORCH_PINNED_COMMIT=$(get_pinned_commit executorch)
-
-  # Clone the Executorch
-  git clone https://github.com/pytorch/executorch.git
-
-  # and fetch the target commit
-  pushd executorch
-  git checkout "${EXECUTORCH_PINNED_COMMIT}"
-  git submodule update --init
-  popd
-
-  chown -R jenkins executorch
-}
-
-install_buck2() {
-  pushd executorch/.ci/docker
-
-  BUCK2_VERSION=$(cat ci_commit_pins/buck2.txt)
-  source common/install_buck.sh
-
-  popd
-}
-
-install_conda_dependencies() {
-  pushd executorch/.ci/docker
-  # Install conda dependencies like flatbuffer
-  conda_install --file conda-env-ci.txt
-  popd
-}
-
-install_pip_dependencies() {
-  pushd executorch/.ci/docker
-  # Install PyTorch CPU build beforehand to avoid installing the much bigger CUDA
-  # binaries later, ExecuTorch only needs CPU
-  pip_install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
-  # Install all Python dependencies
-  pip_install -r requirements-ci.txt
-  popd
-}
-
-setup_executorch() {
-  pushd executorch
-  # Setup swiftshader and Vulkan SDK which are required to build the Vulkan delegate
-  as_jenkins bash .ci/scripts/setup-vulkan-linux-deps.sh
-
-  export PYTHON_EXECUTABLE=python
-  export EXECUTORCH_BUILD_PYBIND=ON
-  export CMAKE_ARGS="-DEXECUTORCH_BUILD_XNNPACK=ON -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON"
-
-  as_jenkins .ci/scripts/setup-linux.sh cmake
-  popd
-}
-
-clone_executorch
-install_buck2
-install_conda_dependencies
-install_pip_dependencies
-setup_executorch

.ci/docker/common/install_gcc.sh

@@ -1,20 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-if [ -n "$GCC_VERSION" ]; then
-
-  # Need the official toolchain repo to get alternate packages
-  add-apt-repository ppa:ubuntu-toolchain-r/test
-  apt-get update
-  apt-get install -y g++-$GCC_VERSION
-  update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-"$GCC_VERSION" 50
-  update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-"$GCC_VERSION" 50
-  update-alternatives --install /usr/bin/gcov gcov /usr/bin/gcov-"$GCC_VERSION" 50
-
-
-  # Cleanup package manager
-  apt-get autoclean && apt-get clean
-  rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
-
-fi

.ci/docker/common/install_halide.sh

@@ -1,46 +0,0 @@
-#!/bin/bash
-set -ex
-
-source "$(dirname "${BASH_SOURCE[0]}")/common_utils.sh"
-
-COMMIT=$(get_pinned_commit halide)
-test -n "$COMMIT"
-
-# activate conda to populate CONDA_PREFIX
-test -n "$ANACONDA_PYTHON_VERSION"
-eval "$(conda shell.bash hook)"
-conda activate py_$ANACONDA_PYTHON_VERSION
-
-if [ -n "${UBUNTU_VERSION}" ];then
-    apt update
-    apt-get install -y lld liblld-15-dev libpng-dev libjpeg-dev libgl-dev \
-                  libopenblas-dev libeigen3-dev libatlas-base-dev libzstd-dev
-fi
-
-conda_install numpy scipy imageio cmake ninja
-
-git clone --depth 1 --branch release/16.x --recursive https://github.com/llvm/llvm-project.git
-cmake -DCMAKE_BUILD_TYPE=Release \
-        -DLLVM_ENABLE_PROJECTS="clang" \
-        -DLLVM_TARGETS_TO_BUILD="X86;NVPTX" \
-        -DLLVM_ENABLE_TERMINFO=OFF -DLLVM_ENABLE_ASSERTIONS=ON \
-        -DLLVM_ENABLE_EH=ON -DLLVM_ENABLE_RTTI=ON -DLLVM_BUILD_32_BITS=OFF \
-        -S llvm-project/llvm -B llvm-build -G Ninja
-cmake --build llvm-build
-cmake --install llvm-build --prefix llvm-install
-export LLVM_ROOT=`pwd`/llvm-install
-export LLVM_CONFIG=$LLVM_ROOT/bin/llvm-config
-
-git clone https://github.com/halide/Halide.git
-pushd Halide
-git checkout ${COMMIT} && git submodule update --init --recursive
-pip_install -r requirements.txt
-cmake -G Ninja -DCMAKE_BUILD_TYPE=Release -S . -B build
-cmake --build build
-test -e ${CONDA_PREFIX}/lib/python3 || ln -s python${ANACONDA_PYTHON_VERSION} ${CONDA_PREFIX}/lib/python3
-cmake --install build --prefix ${CONDA_PREFIX}
-chown -R jenkins ${CONDA_PREFIX}
-popd
-rm -rf Halide llvm-build llvm-project llvm-install
-
-python -c "import halide"  # check for errors

.ci/docker/common/install_inductor_benchmark_deps.sh

@@ -1,26 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-source "$(dirname "${BASH_SOURCE[0]}")/common_utils.sh"
-
-function install_huggingface() {
-  local version
-  commit=$(get_pinned_commit huggingface)
-  pip_install pandas==2.0.3
-  pip_install "git+https://github.com/huggingface/transformers@${commit}"
-}
-
-function install_timm() {
-  local commit
-  commit=$(get_pinned_commit timm)
-  pip_install pandas==2.0.3
-  pip_install "git+https://github.com/huggingface/pytorch-image-models@${commit}"
-  # Clean up
-  conda_run pip uninstall -y cmake torch torchvision triton
-}
-
-# Pango is needed for weasyprint which is needed for doctr
-conda_install pango
-install_huggingface
-install_timm

.ci/docker/common/install_libpng.sh

@@ -1,23 +0,0 @@
-#!/bin/bash
-# Script used only in CD pipeline
-
-set -ex
-
-LIBPNG_VERSION=1.6.37
-
-mkdir -p libpng
-pushd libpng
-
-wget http://download.sourceforge.net/libpng/libpng-$LIBPNG_VERSION.tar.gz
-tar -xvzf libpng-$LIBPNG_VERSION.tar.gz
-
-pushd libpng-$LIBPNG_VERSION
-
-./configure
-make
-make install
-
-popd
-
-popd
-rm -rf libpng

.ci/docker/common/install_linter.sh

@@ -1,29 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-source "$(dirname "${BASH_SOURCE[0]}")/common_utils.sh"
-
-if [ -n "${UBUNTU_VERSION}" ]; then
-  apt update
-  apt-get install -y clang doxygen git graphviz nodejs npm libtinfo5
-fi
-
-# Do shallow clone of PyTorch so that we can init lintrunner in Docker build context
-git clone https://github.com/pytorch/pytorch.git --depth 1
-chown -R jenkins pytorch
-
-pushd pytorch
-# Install all linter dependencies
-pip_install -r requirements.txt
-conda_run lintrunner init
-
-# Cache .lintbin directory as part of the Docker image
-cp -r .lintbin /tmp
-popd
-
-# Node dependencies required by toc linter job
-npm install -g markdown-toc
-
-# Cleaning up
-rm -rf pytorch

.ci/docker/common/install_magma.sh

@@ -1,29 +0,0 @@
-#!/usr/bin/env bash
-# Script used only in CD pipeline
-
-set -eou pipefail
-
-MAGMA_VERSION="2.5.2"
-
-function do_install() {
-    cuda_version=$1
-    cuda_version_nodot=${1/./}
-
-    MAGMA_VERSION="2.6.1"
-    magma_archive="magma-cuda${cuda_version_nodot}-${MAGMA_VERSION}-1.tar.bz2"
-
-    cuda_dir="/usr/local/cuda-${cuda_version}"
-    (
-        set -x
-        tmp_dir=$(mktemp -d)
-        pushd ${tmp_dir}
-        curl -OLs https://anaconda.org/pytorch/magma-cuda${cuda_version_nodot}/${MAGMA_VERSION}/download/linux-64/${magma_archive}
-        tar -xvf "${magma_archive}"
-        mkdir -p "${cuda_dir}/magma"
-        mv include "${cuda_dir}/magma/include"
-        mv lib "${cuda_dir}/magma/lib"
-        popd
-    )
-}
-
-do_install $1

.ci/docker/common/install_miopen.sh

@@ -1,172 +0,0 @@
-#!/bin/bash
-# Script used only in CD pipeline
-
-set -ex
-
-ROCM_VERSION=$1
-
-if [[ -z $ROCM_VERSION ]]; then
-    echo "missing ROCM_VERSION"
-    exit 1;
-fi
-
-IS_UBUNTU=0
-ID=$(grep -oP '(?<=^ID=).+' /etc/os-release | tr -d '"')
-case "$ID" in
-  ubuntu)
-    IS_UBUNTU=1
-    ;;
-  centos)
-    IS_UBUNTU=0
-    ;;
-  *)
-    echo "Unable to determine OS..."
-    exit 1
-    ;;
-esac
-
-# To make version comparison easier, create an integer representation.
-save_IFS="$IFS"
-IFS=. ROCM_VERSION_ARRAY=(${ROCM_VERSION})
-IFS="$save_IFS"
-if [[ ${#ROCM_VERSION_ARRAY[@]} == 2 ]]; then
-    ROCM_VERSION_MAJOR=${ROCM_VERSION_ARRAY[0]}
-    ROCM_VERSION_MINOR=${ROCM_VERSION_ARRAY[1]}
-    ROCM_VERSION_PATCH=0
-elif [[ ${#ROCM_VERSION_ARRAY[@]} == 3 ]]; then
-    ROCM_VERSION_MAJOR=${ROCM_VERSION_ARRAY[0]}
-    ROCM_VERSION_MINOR=${ROCM_VERSION_ARRAY[1]}
-    ROCM_VERSION_PATCH=${ROCM_VERSION_ARRAY[2]}
-else
-    echo "Unhandled ROCM_VERSION ${ROCM_VERSION}"
-    exit 1
-fi
-ROCM_INT=$(($ROCM_VERSION_MAJOR * 10000 + $ROCM_VERSION_MINOR * 100 + $ROCM_VERSION_PATCH))
-
-# Install custom MIOpen + COMgr for ROCm >= 4.0.1
-if [[ $ROCM_INT -lt 40001 ]]; then
-    echo "ROCm version < 4.0.1; will not install custom MIOpen"
-    exit 0
-fi
-
-# Function to retry functions that sometimes timeout or have flaky failures
-retry () {
-    $*  || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*)
-}
-
-# Build custom MIOpen to use comgr for offline compilation.
-
-## Need a sanitized ROCM_VERSION without patchlevel; patchlevel version 0 must be added to paths.
-ROCM_DOTS=$(echo ${ROCM_VERSION} | tr -d -c '.' | wc -c)
-if [[ ${ROCM_DOTS} == 1 ]]; then
-    ROCM_VERSION_NOPATCH="${ROCM_VERSION}"
-    ROCM_INSTALL_PATH="/opt/rocm-${ROCM_VERSION}.0"
-else
-    ROCM_VERSION_NOPATCH="${ROCM_VERSION%.*}"
-    ROCM_INSTALL_PATH="/opt/rocm-${ROCM_VERSION}"
-fi
-
-# MIOPEN_USE_HIP_KERNELS is a Workaround for COMgr issues
-MIOPEN_CMAKE_COMMON_FLAGS="
--DMIOPEN_USE_COMGR=ON
--DMIOPEN_BUILD_DRIVER=OFF
-"
-# Pull MIOpen repo and set DMIOPEN_EMBED_DB based on ROCm version
-if [[ $ROCM_INT -ge 60300 ]]; then
-    echo "ROCm 6.3+ MIOpen does not need any patches, do not build from source"
-    exit 0
-elif [[ $ROCM_INT -ge 60200 ]] && [[ $ROCM_INT -lt 60300 ]]; then
-    MIOPEN_BRANCH="release/rocm-rel-6.2-staging"
-elif [[ $ROCM_INT -ge 60100 ]] && [[ $ROCM_INT -lt 60200 ]]; then
-    echo "ROCm 6.1 MIOpen does not need any patches, do not build from source"
-    exit 0
-elif [[ $ROCM_INT -ge 60000 ]] && [[ $ROCM_INT -lt 60100 ]]; then
-    echo "ROCm 6.0 MIOpen does not need any patches, do not build from source"
-    exit 0
-elif [[ $ROCM_INT -ge 50700 ]] && [[ $ROCM_INT -lt 60000 ]]; then
-    echo "ROCm 5.7 MIOpen does not need any patches, do not build from source"
-    exit 0
-elif [[ $ROCM_INT -ge 50600 ]] && [[ $ROCM_INT -lt 50700 ]]; then
-    MIOPEN_BRANCH="release/rocm-rel-5.6-staging"
-elif [[ $ROCM_INT -ge 50500 ]] && [[ $ROCM_INT -lt 50600 ]]; then
-    MIOPEN_BRANCH="release/rocm-rel-5.5-gfx11"
-elif [[ $ROCM_INT -ge 50400 ]] && [[ $ROCM_INT -lt 50500 ]]; then
-    MIOPEN_CMAKE_DB_FLAGS="-DMIOPEN_EMBED_DB=gfx900_56;gfx906_60;gfx90878;gfx90a6e;gfx1030_36 -DMIOPEN_USE_MLIR=Off"
-    MIOPEN_BRANCH="release/rocm-rel-5.4-staging"
-elif [[ $ROCM_INT -ge 50300 ]] && [[ $ROCM_INT -lt 50400 ]]; then
-    MIOPEN_CMAKE_DB_FLAGS="-DMIOPEN_EMBED_DB=gfx900_56;gfx906_60;gfx90878;gfx90a6e;gfx1030_36 -DMIOPEN_USE_MLIR=Off"
-    MIOPEN_BRANCH="release/rocm-rel-5.3-staging"
-elif [[ $ROCM_INT -ge 50200 ]] && [[ $ROCM_INT -lt 50300 ]]; then
-    MIOPEN_CMAKE_DB_FLAGS="-DMIOPEN_EMBED_DB=gfx900_56;gfx906_60;gfx90878;gfx90a6e;gfx1030_36 -DMIOPEN_USE_MLIR=Off"
-    MIOPEN_BRANCH="release/rocm-rel-5.2-staging"
-elif [[ $ROCM_INT -ge 50100 ]] && [[ $ROCM_INT -lt 50200 ]]; then
-    MIOPEN_CMAKE_DB_FLAGS="-DMIOPEN_EMBED_DB=gfx900_56;gfx906_60;gfx90878;gfx90a6e;gfx1030_36"
-    MIOPEN_BRANCH="release/rocm-rel-5.1-staging"
-elif [[ $ROCM_INT -ge 50000 ]] && [[ $ROCM_INT -lt 50100 ]]; then
-    MIOPEN_CMAKE_DB_FLAGS="-DMIOPEN_EMBED_DB=gfx900_56;gfx906_60;gfx90878;gfx90a6e;gfx1030_36"
-    MIOPEN_BRANCH="release/rocm-rel-5.0-staging"
-else
-    echo "Unhandled ROCM_VERSION ${ROCM_VERSION}"
-    exit 1
-fi
-
-
-if [[ ${IS_UBUNTU} == 1 ]]; then
-  apt-get remove -y miopen-hip
-else
-  yum remove -y miopen-hip
-fi
-
-git clone https://github.com/ROCm/MIOpen -b ${MIOPEN_BRANCH}
-pushd MIOpen
-# remove .git to save disk space since CI runner was running out
-rm -rf .git
-# Don't build CK to save docker build time
-if [[ $ROCM_INT -ge 60200 ]]; then
-    sed -i '/composable_kernel/d' requirements.txt
-fi
-# Don't build MLIR to save docker build time
-# since we are disabling MLIR backend for MIOpen anyway
-if [[ $ROCM_INT -ge 50400 ]] && [[ $ROCM_INT -lt 50500 ]]; then
-    sed -i '/rocMLIR/d' requirements.txt
-elif [[ $ROCM_INT -ge 50200 ]] && [[ $ROCM_INT -lt 50400 ]]; then
-    sed -i '/llvm-project-mlir/d' requirements.txt
-fi
-## MIOpen minimum requirements
-cmake -P install_deps.cmake --minimum
-
-# clean up since CI runner was running out of disk space
-rm -rf /tmp/*
-if [[ ${IS_UBUNTU} == 1 ]]; then
-  apt-get autoclean && apt-get clean
-  rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
-else
-  yum clean all
-  rm -rf /var/cache/yum
-  rm -rf /var/lib/yum/yumdb
-  rm -rf /var/lib/yum/history
-fi
-
-## Build MIOpen
-mkdir -p build
-cd build
-PKG_CONFIG_PATH=/usr/local/lib/pkgconfig CXX=${ROCM_INSTALL_PATH}/llvm/bin/clang++ cmake .. \
-    ${MIOPEN_CMAKE_COMMON_FLAGS} \
-    ${MIOPEN_CMAKE_DB_FLAGS} \
-    -DCMAKE_PREFIX_PATH="${ROCM_INSTALL_PATH}/hip;${ROCM_INSTALL_PATH}"
-make MIOpen -j $(nproc)
-
-# Build MIOpen package
-make -j $(nproc) package
-
-# clean up since CI runner was running out of disk space
-rm -rf /usr/local/cget
-
-if [[ ${IS_UBUNTU} == 1 ]]; then
-  sudo dpkg -i miopen-hip*.deb
-else
-  yum install -y miopen-*.rpm
-fi
-
-popd
-rm -rf MIOpen

.ci/docker/common/install_mkl.sh

@@ -1,16 +0,0 @@
-#!/bin/bash
-set -ex
-
-# MKL
-MKL_VERSION=2024.2.0
-
-MKLROOT=/opt/intel
-mkdir -p ${MKLROOT}
-pushd /tmp
-
-python3 -mpip install wheel
-python3 -mpip download -d . mkl-static==${MKL_VERSION}
-python3 -m wheel unpack mkl_static-${MKL_VERSION}-py2.py3-none-manylinux1_x86_64.whl
-python3 -m wheel unpack mkl_include-${MKL_VERSION}-py2.py3-none-manylinux1_x86_64.whl
-mv mkl_static-${MKL_VERSION}/mkl_static-${MKL_VERSION}.data/data/lib ${MKLROOT}
-mv mkl_include-${MKL_VERSION}/mkl_include-${MKL_VERSION}.data/data/include ${MKLROOT}

.ci/docker/common/install_mnist.sh

@@ -1,13 +0,0 @@
-#!/bin/bash
-# Script used only in CD pipeline
-
-set -ex
-
-mkdir -p /usr/local/mnist/
-
-cd /usr/local/mnist
-
-for img in train-images-idx3-ubyte.gz train-labels-idx1-ubyte.gz t10k-images-idx3-ubyte.gz t10k-labels-idx1-ubyte.gz; do
-  wget -q https://ossci-datasets.s3.amazonaws.com/mnist/$img
-  gzip -d $img
-done

.ci/docker/common/install_nvpl.sh

@@ -1,20 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-function install_nvpl {
-
-    mkdir -p /opt/nvpl/lib /opt/nvpl/include
-
-    wget https://developer.download.nvidia.com/compute/nvpl/redist/nvpl_blas/linux-sbsa/nvpl_blas-linux-sbsa-0.3.0-archive.tar.xz
-    tar xf nvpl_blas-linux-sbsa-0.3.0-archive.tar.xz
-    cp -r nvpl_blas-linux-sbsa-0.3.0-archive/lib/* /opt/nvpl/lib/
-    cp -r nvpl_blas-linux-sbsa-0.3.0-archive/include/* /opt/nvpl/include/
-
-    wget https://developer.download.nvidia.com/compute/nvpl/redist/nvpl_lapack/linux-sbsa/nvpl_lapack-linux-sbsa-0.2.3.1-archive.tar.xz
-    tar xf nvpl_lapack-linux-sbsa-0.2.3.1-archive.tar.xz
-    cp -r nvpl_lapack-linux-sbsa-0.2.3.1-archive/lib/* /opt/nvpl/lib/
-    cp -r nvpl_lapack-linux-sbsa-0.2.3.1-archive/include/* /opt/nvpl/include/
-}
-
-install_nvpl

.ci/docker/common/install_onnx.sh

@@ -1,52 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-source "$(dirname "${BASH_SOURCE[0]}")/common_utils.sh"
-
-retry () {
-    "$@" || (sleep 10 && "$@") || (sleep 20 && "$@") || (sleep 40 && "$@")
-}
-
-# A bunch of custom pip dependencies for ONNX
-pip_install \
-  beartype==0.15.0 \
-  filelock==3.9.0 \
-  flatbuffers==2.0 \
-  mock==5.0.1 \
-  ninja==1.10.2 \
-  networkx==2.5 \
-  numpy==1.24.2
-
-# ONNXRuntime should be installed before installing
-# onnx-weekly. Otherwise, onnx-weekly could be
-# overwritten by onnx.
-pip_install \
-  parameterized==0.8.1 \
-  pytest-cov==4.0.0 \
-  pytest-subtests==0.10.0 \
-  tabulate==0.9.0 \
-  transformers==4.36.2
-
-pip_install coloredlogs packaging
-
-pip_install onnxruntime==1.18.1
-pip_install onnx==1.16.2
-pip_install onnxscript==0.1.0.dev20240831 --no-deps
-# required by onnxscript
-pip_install ml_dtypes
-
-# Cache the transformers model to be used later by ONNX tests. We need to run the transformers
-# package to download the model. By default, the model is cached at ~/.cache/huggingface/hub/
-IMPORT_SCRIPT_FILENAME="/tmp/onnx_import_script.py"
-as_jenkins echo 'import transformers; transformers.AutoModel.from_pretrained("sshleifer/tiny-gpt2"); transformers.AutoTokenizer.from_pretrained("sshleifer/tiny-gpt2"); transformers.AutoModelForSpeechSeq2Seq.from_pretrained("openai/whisper-large-v3");' > "${IMPORT_SCRIPT_FILENAME}"
-
-# Need a PyTorch version for transformers to work
-pip_install --pre torch --index-url https://download.pytorch.org/whl/nightly/cpu
-# Very weird quoting behavior here https://github.com/conda/conda/issues/10972,
-# so echo the command to a file and run the file instead
-conda_run python "${IMPORT_SCRIPT_FILENAME}"
-
-# Cleaning up
-conda_run pip uninstall -y torch
-rm "${IMPORT_SCRIPT_FILENAME}" || true

.ci/docker/common/install_openblas.sh

@@ -1,22 +0,0 @@
-#!/bin/bash
-# Script used only in CD pipeline
-
-set -ex
-
-cd /
-git clone https://github.com/OpenMathLib/OpenBLAS.git -b v0.3.25 --depth 1 --shallow-submodules
-
-
-OPENBLAS_BUILD_FLAGS="
-NUM_THREADS=128
-USE_OPENMP=1
-NO_SHARED=0
-DYNAMIC_ARCH=1
-TARGET=ARMV8
-CFLAGS=-O3
-"
-
-OPENBLAS_CHECKOUT_DIR="OpenBLAS"
-
-make -j8 ${OPENBLAS_BUILD_FLAGS} -C ${OPENBLAS_CHECKOUT_DIR}
-make -j8 ${OPENBLAS_BUILD_FLAGS} install -C ${OPENBLAS_CHECKOUT_DIR}

.ci/docker/common/install_openssl.sh

@@ -1,17 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-OPENSSL=openssl-1.1.1k
-
-wget -q -O "${OPENSSL}.tar.gz" "https://ossci-linux.s3.amazonaws.com/${OPENSSL}.tar.gz"
-tar xf "${OPENSSL}.tar.gz"
-cd "${OPENSSL}"
-./config --prefix=/opt/openssl -d '-Wl,--enable-new-dtags,-rpath,$(LIBRPATH)'
-# NOTE: openssl install errors out when built with the -j option
-NPROC=$[$(nproc) - 2]
-make -j${NPROC}; make install_sw
-# Link the ssl libraries to the /usr/lib folder.
-sudo ln -s /opt/openssl/lib/lib* /usr/lib
-cd ..
-rm -rf "${OPENSSL}"

.ci/docker/common/install_patchelf.sh

@@ -1,16 +0,0 @@
-#!/bin/bash
-# Script used only in CD pipeline
-
-set -ex
-
-# Pin the version to latest release 0.17.2, building newer commit starts
-# to fail on the current image
-git clone -b 0.17.2 --single-branch https://github.com/NixOS/patchelf
-cd patchelf
-sed -i 's/serial/parallel/g' configure.ac
-./bootstrap.sh
-./configure
-make
-make install
-cd ..
-rm -rf patchelf

.ci/docker/common/install_protobuf.sh

@@ -1,19 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-pb_dir="/usr/temp_pb_install_dir"
-mkdir -p $pb_dir
-
-# On the nvidia/cuda:9-cudnn7-devel-centos7 image we need this symlink or
-# else it will fail with
-#   g++: error: ./../lib64/crti.o: No such file or directory
-ln -s /usr/lib64 "$pb_dir/lib64"
-
-curl -LO "https://github.com/protocolbuffers/protobuf/releases/download/v3.17.3/protobuf-all-3.17.3.tar.gz" --retry 3
-
-tar -xvz --no-same-owner -C "$pb_dir" --strip-components 1 -f protobuf-all-3.17.3.tar.gz
-NPROC=$[$(nproc) - 2]
-pushd "$pb_dir" && ./configure && make -j${NPROC} && make -j${NPROC} check && sudo make -j${NRPOC} install && sudo ldconfig
-popd
-rm -rf $pb_dir

.ci/docker/common/install_rocm.sh

@@ -1,148 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-ver() {
-    printf "%3d%03d%03d%03d" $(echo "$1" | tr '.' ' ');
-}
-
-install_ubuntu() {
-    apt-get update
-    if [[ $UBUNTU_VERSION == 18.04 ]]; then
-      # gpg-agent is not available by default on 18.04
-      apt-get install -y --no-install-recommends gpg-agent
-    fi
-    if [[ $UBUNTU_VERSION == 20.04 ]]; then
-      # gpg-agent is not available by default on 20.04
-      apt-get install -y --no-install-recommends gpg-agent
-    fi
-    apt-get install -y kmod
-    apt-get install -y wget
-
-    # Need the libc++1 and libc++abi1 libraries to allow torch._C to load at runtime
-    apt-get install -y libc++1
-    apt-get install -y libc++abi1
-
-    # Add amdgpu repository
-    UBUNTU_VERSION_NAME=`cat /etc/os-release | grep UBUNTU_CODENAME | awk -F= '{print $2}'`
-    echo "deb [arch=amd64] https://repo.radeon.com/amdgpu/${ROCM_VERSION}/ubuntu ${UBUNTU_VERSION_NAME} main" > /etc/apt/sources.list.d/amdgpu.list
-
-    # Add rocm repository
-    wget -qO - http://repo.radeon.com/rocm/rocm.gpg.key | apt-key add -
-    local rocm_baseurl="http://repo.radeon.com/rocm/apt/${ROCM_VERSION}"
-    echo "deb [arch=amd64] ${rocm_baseurl} ${UBUNTU_VERSION_NAME} main" > /etc/apt/sources.list.d/rocm.list
-    apt-get update --allow-insecure-repositories
-
-    DEBIAN_FRONTEND=noninteractive apt-get install -y --allow-unauthenticated \
-                   rocm-dev \
-                   rocm-utils \
-                   rocm-libs \
-                   rccl \
-                   rocprofiler-dev \
-                   roctracer-dev \
-                   amd-smi-lib
-
-    if [[ $(ver $ROCM_VERSION) -ge $(ver 6.1) ]]; then
-        DEBIAN_FRONTEND=noninteractive apt-get install -y --allow-unauthenticated rocm-llvm-dev
-    fi
-
-    # precompiled miopen kernels added in ROCm 3.5, renamed in ROCm 5.5
-    # search for all unversioned packages
-    # if search fails it will abort this script; use true to avoid case where search fails
-    MIOPENHIPGFX=$(apt-cache search --names-only miopen-hip-gfx | awk '{print $1}' | grep -F -v . || true)
-    if [[ "x${MIOPENHIPGFX}" = x ]]; then
-      echo "miopen-hip-gfx package not available" && exit 1
-    else
-      DEBIAN_FRONTEND=noninteractive apt-get install -y --allow-unauthenticated ${MIOPENHIPGFX}
-    fi
-
-    # ROCm 6.0 had a regression where journal_mode was enabled on the kdb files resulting in permission errors at runtime
-    for kdb in /opt/rocm/share/miopen/db/*.kdb
-    do
-        sqlite3 $kdb "PRAGMA journal_mode=off; PRAGMA VACUUM;"
-    done
-
-    # Cleanup
-    apt-get autoclean && apt-get clean
-    rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
-}
-
-install_centos() {
-
-  yum update -y
-  yum install -y kmod
-  yum install -y wget
-  yum install -y openblas-devel
-
-  yum install -y epel-release
-  yum install -y dkms kernel-headers-`uname -r` kernel-devel-`uname -r`
-
-  # Add amdgpu repository
-  local amdgpu_baseurl
-  if [[ $OS_VERSION == 9 ]]; then
-      amdgpu_baseurl="https://repo.radeon.com/amdgpu/${ROCM_VERSION}/rhel/9.0/main/x86_64"
-  else
-      amdgpu_baseurl="https://repo.radeon.com/amdgpu/${ROCM_VERSION}/rhel/7.9/main/x86_64"
-  fi
-  echo "[AMDGPU]" > /etc/yum.repos.d/amdgpu.repo
-  echo "name=AMDGPU" >> /etc/yum.repos.d/amdgpu.repo
-  echo "baseurl=${amdgpu_baseurl}" >> /etc/yum.repos.d/amdgpu.repo
-  echo "enabled=1" >> /etc/yum.repos.d/amdgpu.repo
-  echo "gpgcheck=1" >> /etc/yum.repos.d/amdgpu.repo
-  echo "gpgkey=http://repo.radeon.com/rocm/rocm.gpg.key" >> /etc/yum.repos.d/amdgpu.repo
-
-  local rocm_baseurl="http://repo.radeon.com/rocm/yum/${ROCM_VERSION}"
-  echo "[ROCm]" > /etc/yum.repos.d/rocm.repo
-  echo "name=ROCm" >> /etc/yum.repos.d/rocm.repo
-  echo "baseurl=${rocm_baseurl}" >> /etc/yum.repos.d/rocm.repo
-  echo "enabled=1" >> /etc/yum.repos.d/rocm.repo
-  echo "gpgcheck=1" >> /etc/yum.repos.d/rocm.repo
-  echo "gpgkey=http://repo.radeon.com/rocm/rocm.gpg.key" >> /etc/yum.repos.d/rocm.repo
-
-  yum update -y
-
-  yum install -y \
-                   rocm-dev \
-                   rocm-utils \
-                   rocm-libs \
-                   rccl \
-                   rocprofiler-dev \
-                   roctracer-dev \
-                   amd-smi-lib
-
-  # precompiled miopen kernels; search for all unversioned packages
-  # if search fails it will abort this script; use true to avoid case where search fails
-  MIOPENHIPGFX=$(yum -q search miopen-hip-gfx | grep miopen-hip-gfx | awk '{print $1}'| grep -F kdb. || true)
-  if [[ "x${MIOPENHIPGFX}" = x ]]; then
-    echo "miopen-hip-gfx package not available" && exit 1
-  else
-    yum install -y ${MIOPENHIPGFX}
-  fi
-
-  # ROCm 6.0 had a regression where journal_mode was enabled on the kdb files resulting in permission errors at runtime
-  for kdb in /opt/rocm/share/miopen/db/*.kdb
-  do
-      sqlite3 $kdb "PRAGMA journal_mode=off; PRAGMA VACUUM;"
-  done
-
-  # Cleanup
-  yum clean all
-  rm -rf /var/cache/yum
-  rm -rf /var/lib/yum/yumdb
-  rm -rf /var/lib/yum/history
-}
-
-# Install Python packages depending on the base OS
-ID=$(grep -oP '(?<=^ID=).+' /etc/os-release | tr -d '"')
-case "$ID" in
-  ubuntu)
-    install_ubuntu
-    ;;
-  centos)
-    install_centos
-    ;;
-  *)
-    echo "Unable to determine OS..."
-    exit 1
-    ;;
-esac

.ci/docker/common/install_rocm_drm.sh

@@ -1,150 +0,0 @@
-#!/bin/bash
-# Script used only in CD pipeline
-
-###########################
-### prereqs
-###########################
-# Install Python packages depending on the base OS
-ID=$(grep -oP '(?<=^ID=).+' /etc/os-release | tr -d '"')
-case "$ID" in
-  ubuntu)
-    apt-get update -y
-    apt-get install -y libpciaccess-dev pkg-config
-    apt-get clean
-    ;;
-  centos)
-    yum install -y libpciaccess-devel pkgconfig
-    ;;
-  *)
-    echo "Unable to determine OS..."
-    exit 1
-    ;;
-esac
-python3 -m pip install meson ninja
-
-###########################
-### clone repo
-###########################
-GIT_SSL_NO_VERIFY=true git clone https://gitlab.freedesktop.org/mesa/drm.git
-pushd drm
-
-###########################
-### patch
-###########################
-patch -p1 <<'EOF'
-diff --git a/amdgpu/amdgpu_asic_id.c b/amdgpu/amdgpu_asic_id.c
-index a5007ffc..13fa07fc 100644
---- a/amdgpu/amdgpu_asic_id.c
-+++ b/amdgpu/amdgpu_asic_id.c
-@@ -22,6 +22,13 @@
-  *
-  */
-
-+#define _XOPEN_SOURCE 700
-+#define _LARGEFILE64_SOURCE
-+#define _FILE_OFFSET_BITS 64
-+#include <ftw.h>
-+#include <link.h>
-+#include <limits.h>
-+
- #include <ctype.h>
- #include <stdio.h>
- #include <stdlib.h>
-@@ -34,6 +41,19 @@
- #include "amdgpu_drm.h"
- #include "amdgpu_internal.h"
-
-+static char *amdgpuids_path = NULL;
-+static const char* amdgpuids_path_msg = NULL;
-+
-+static int check_for_location_of_amdgpuids(const char *filepath, const struct stat *info, const int typeflag, struct FTW *pathinfo)
-+{
-+	if (typeflag == FTW_F && strstr(filepath, "amdgpu.ids")) {
-+		amdgpuids_path = strdup(filepath);
-+		return 1;
-+	}
-+
-+	return 0;
-+}
-+
- static int parse_one_line(struct amdgpu_device *dev, const char *line)
- {
- 	char *buf, *saveptr;
-@@ -113,10 +133,46 @@ void amdgpu_parse_asic_ids(struct amdgpu_device *dev)
- 	int line_num = 1;
- 	int r = 0;
-
-+	// attempt to find typical location for amdgpu.ids file
- 	fp = fopen(AMDGPU_ASIC_ID_TABLE, "r");
-+
-+	// if it doesn't exist, search
-+	if (!fp) {
-+
-+	char self_path[ PATH_MAX ];
-+	ssize_t count;
-+	ssize_t i;
-+
-+	count = readlink( "/proc/self/exe", self_path, PATH_MAX );
-+	if (count > 0) {
-+		self_path[count] = '\0';
-+
-+		// remove '/bin/python' from self_path
-+		for (i=count; i>0; --i) {
-+			if (self_path[i] == '/') break;
-+			self_path[i] = '\0';
-+		}
-+		self_path[i] = '\0';
-+		for (; i>0; --i) {
-+			if (self_path[i] == '/') break;
-+			self_path[i] = '\0';
-+		}
-+		self_path[i] = '\0';
-+
-+		if (1 == nftw(self_path, check_for_location_of_amdgpuids, 5, FTW_PHYS)) {
-+			fp = fopen(amdgpuids_path, "r");
-+			amdgpuids_path_msg = amdgpuids_path;
-+		}
-+	}
-+
-+	}
-+	else {
-+		amdgpuids_path_msg = AMDGPU_ASIC_ID_TABLE;
-+	}
-+
-+	// both hard-coded location and search have failed
- 	if (!fp) {
--		fprintf(stderr, "%s: %s\n", AMDGPU_ASIC_ID_TABLE,
--			strerror(errno));
-+		fprintf(stderr, "amdgpu.ids: No such file or directory\n");
- 		return;
- 	}
-
-@@ -132,7 +188,7 @@ void amdgpu_parse_asic_ids(struct amdgpu_device *dev)
- 			continue;
- 		}
-
--		drmMsg("%s version: %s\n", AMDGPU_ASIC_ID_TABLE, line);
-+		drmMsg("%s version: %s\n", amdgpuids_path_msg, line);
- 		break;
- 	}
-
-@@ -150,7 +206,7 @@ void amdgpu_parse_asic_ids(struct amdgpu_device *dev)
-
- 	if (r == -EINVAL) {
- 		fprintf(stderr, "Invalid format: %s: line %d: %s\n",
--			AMDGPU_ASIC_ID_TABLE, line_num, line);
-+			amdgpuids_path_msg, line_num, line);
- 	} else if (r && r != -EAGAIN) {
- 		fprintf(stderr, "%s: Cannot parse ASIC IDs: %s\n",
- 			__func__, strerror(-r));
-EOF
-
-###########################
-### build
-###########################
-meson builddir --prefix=/opt/amdgpu
-pushd builddir
-ninja install
-
-popd
-popd

.ci/docker/common/install_rocm_magma.sh

@@ -1,38 +0,0 @@
-#!/bin/bash
-# Script used in CI and CD pipeline
-
-set -ex
-
-
-MKLROOT=${MKLROOT:-/opt/conda/envs/py_$ANACONDA_PYTHON_VERSION}
-
-# "install" hipMAGMA into /opt/rocm/magma by copying after build
-git clone https://bitbucket.org/icl/magma.git
-pushd magma
-
-# Version 2.7.2 + ROCm related updates
-git checkout a1625ff4d9bc362906bd01f805dbbe12612953f6
-
-cp make.inc-examples/make.inc.hip-gcc-mkl make.inc
-echo 'LIBDIR += -L$(MKLROOT)/lib' >> make.inc
-if [[ -f "${MKLROOT}/lib/libmkl_core.a" ]]; then
-    echo 'LIB = -Wl,--start-group -lmkl_gf_lp64 -lmkl_gnu_thread -lmkl_core -Wl,--end-group -lpthread -lstdc++ -lm -lgomp -lhipblas -lhipsparse' >> make.inc
-fi
-echo 'LIB += -Wl,--enable-new-dtags -Wl,--rpath,/opt/rocm/lib -Wl,--rpath,$(MKLROOT)/lib -Wl,--rpath,/opt/rocm/magma/lib -ldl' >> make.inc
-echo 'DEVCCFLAGS += --gpu-max-threads-per-block=256' >> make.inc
-export PATH="${PATH}:/opt/rocm/bin"
-if [[ -n "$PYTORCH_ROCM_ARCH" ]]; then
-  amdgpu_targets=`echo $PYTORCH_ROCM_ARCH | sed 's/;/ /g'`
-else
-  amdgpu_targets=`rocm_agent_enumerator | grep -v gfx000 | sort -u | xargs`
-fi
-for arch in $amdgpu_targets; do
-  echo "DEVCCFLAGS += --offload-arch=$arch" >> make.inc
-done
-# hipcc with openmp flag may cause isnan() on __device__ not to be found; depending on context, compiler may attempt to match with host definition
-sed -i 's/^FOPENMP/#FOPENMP/g' make.inc
-make -f make.gen.hipMAGMA -j $(nproc)
-LANG=C.UTF-8 make lib/libmagma.so -j $(nproc) MKLROOT="${MKLROOT}"
-make testing/testing_dgemm -j $(nproc) MKLROOT="${MKLROOT}"
-popd
-mv magma /opt/rocm

.ci/docker/common/install_triton.sh

@@ -1,83 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-source "$(dirname "${BASH_SOURCE[0]}")/common_utils.sh"
-
-get_conda_version() {
-  as_jenkins conda list -n py_$ANACONDA_PYTHON_VERSION | grep -w $* | head -n 1 | awk '{print $2}'
-}
-
-conda_reinstall() {
-  as_jenkins conda install -q -n py_$ANACONDA_PYTHON_VERSION -y --force-reinstall $*
-}
-
-if [ -n "${XPU_VERSION}" ]; then
-  TRITON_REPO="https://github.com/intel/intel-xpu-backend-for-triton"
-  TRITON_TEXT_FILE="triton-xpu"
-else
-  TRITON_REPO="https://github.com/openai/triton"
-  TRITON_TEXT_FILE="triton"
-fi
-
-# The logic here is copied from .ci/pytorch/common_utils.sh
-TRITON_PINNED_COMMIT=$(get_pinned_commit ${TRITON_TEXT_FILE})
-
-if [ -n "${UBUNTU_VERSION}" ];then
-    apt update
-    apt-get install -y gpg-agent
-fi
-
-if [ -n "${CONDA_CMAKE}" ]; then
-  # Keep the current cmake and numpy version here, so we can reinstall them later
-  CMAKE_VERSION=$(get_conda_version cmake)
-  NUMPY_VERSION=$(get_conda_version numpy)
-fi
-
-if [ -z "${MAX_JOBS}" ]; then
-    export MAX_JOBS=$(nproc)
-fi
-
-# Git checkout triton
-mkdir /var/lib/jenkins/triton
-chown -R jenkins /var/lib/jenkins/triton
-chgrp -R jenkins /var/lib/jenkins/triton
-pushd /var/lib/jenkins/
-
-as_jenkins git clone ${TRITON_REPO} triton
-cd triton
-as_jenkins git checkout ${TRITON_PINNED_COMMIT}
-cd python
-
-# TODO: remove patch setup.py once we have a proper fix for https://github.com/triton-lang/triton/issues/4527
-as_jenkins sed -i -e 's/https:\/\/tritonlang.blob.core.windows.net\/llvm-builds/https:\/\/oaitriton.blob.core.windows.net\/public\/llvm-builds/g' setup.py
-
-if [ -n "${UBUNTU_VERSION}" ] && [ -n "${GCC_VERSION}" ] && [[ "${GCC_VERSION}" == "7" ]]; then
-  # Triton needs at least gcc-9 to build
-  apt-get install -y g++-9
-
-  CXX=g++-9 pip_install -e .
-elif [ -n "${UBUNTU_VERSION}" ] && [ -n "${CLANG_VERSION}" ]; then
-  # Triton needs <filesystem> which surprisingly is not available with clang-9 toolchain
-  add-apt-repository -y ppa:ubuntu-toolchain-r/test
-  apt-get install -y g++-9
-
-  CXX=g++-9 pip_install -e .
-else
-  pip_install -e .
-fi
-
-if [ -n "${CONDA_CMAKE}" ]; then
-  # TODO: This is to make sure that the same cmake and numpy version from install conda
-  # script is used. Without this step, the newer cmake version (3.25.2) downloaded by
-  # triton build step via pip will fail to detect conda MKL. Once that issue is fixed,
-  # this can be removed.
-  #
-  # The correct numpy version also needs to be set here because conda claims that it
-  # causes inconsistent environment.  Without this, conda will attempt to install the
-  # latest numpy version, which fails ASAN tests with the following import error: Numba
-  # needs NumPy 1.20 or less.
-  conda_reinstall cmake="${CMAKE_VERSION}"
-  # Note that we install numpy with pip as conda might not have the version we want
-  pip_install --force-reinstall numpy=="${NUMPY_VERSION}"
-fi

.ci/docker/common/install_ucc.sh

@@ -1,53 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-if [[ -d "/usr/local/cuda/" ]];  then
-  with_cuda=/usr/local/cuda/
-else
-  with_cuda=no
-fi
-
-function install_ucx() {
-  set -ex
-  git clone --recursive https://github.com/openucx/ucx.git
-  pushd ucx
-  git checkout ${UCX_COMMIT}
-  git submodule update --init --recursive
-
-  ./autogen.sh
-  ./configure --prefix=$UCX_HOME      \
-      --enable-mt                     \
-      --with-cuda=$with_cuda          \
-      --enable-profiling              \
-      --enable-stats
-  time make -j
-  sudo make install
-
-  popd
-  rm -rf ucx
-}
-
-function install_ucc() {
-  set -ex
-  git clone --recursive https://github.com/openucx/ucc.git
-  pushd ucc
-  git checkout ${UCC_COMMIT}
-  git submodule update --init --recursive
-
-  ./autogen.sh
-  # We only run distributed tests on Tesla M60 and A10G
-  NVCC_GENCODE="-gencode=arch=compute_52,code=sm_52 -gencode=arch=compute_86,code=compute_86"
-  ./configure --prefix=$UCC_HOME          \
-    --with-ucx=$UCX_HOME                  \
-    --with-cuda=$with_cuda                \
-    --with-nvcc-gencode="${NVCC_GENCODE}"
-  time make -j
-  sudo make install
-
-  popd
-  rm -rf ucc
-}
-
-install_ucx
-install_ucc

.ci/docker/common/install_xpu.sh

@@ -1,161 +0,0 @@
-#!/bin/bash
-set -xe
-# Script used in CI and CD pipeline
-
-# Intel® software for general purpose GPU capabilities.
-# Refer to https://www.intel.com/content/www/us/en/developer/articles/tool/pytorch-prerequisites-for-intel-gpus.html
-
-# Users should update to the latest version as it becomes available
-
-function install_ubuntu() {
-    . /etc/os-release
-    if [[ ! " jammy " =~ " ${VERSION_CODENAME} " ]]; then
-        echo "Ubuntu version ${VERSION_CODENAME} not supported"
-        exit
-    fi
-
-    apt-get update -y
-    apt-get install -y gpg-agent wget
-    # To add the online network package repository for the GPU Driver
-    wget -qO - https://repositories.intel.com/gpu/intel-graphics.key \
-        | gpg --yes --dearmor --output /usr/share/keyrings/intel-graphics.gpg
-    echo "deb [arch=amd64 signed-by=/usr/share/keyrings/intel-graphics.gpg] \
-        https://repositories.intel.com/gpu/ubuntu ${VERSION_CODENAME}${XPU_DRIVER_VERSION} unified" \
-        | tee /etc/apt/sources.list.d/intel-gpu-${VERSION_CODENAME}.list
-    # To add the online network network package repository for the Intel Support Packages
-    wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB \
-        | gpg --dearmor > /usr/share/keyrings/intel-for-pytorch-gpu-dev-keyring.gpg
-    echo "deb [signed-by=/usr/share/keyrings/intel-for-pytorch-gpu-dev-keyring.gpg] \
-        https://apt.repos.intel.com/intel-for-pytorch-gpu-dev all main" \
-        | tee /etc/apt/sources.list.d/intel-for-pytorch-gpu-dev.list
-
-    # Update the packages list and repository index
-    apt-get update
-
-    # The xpu-smi packages
-    apt-get install -y flex bison xpu-smi
-    # Compute and Media Runtimes
-    apt-get install -y \
-        intel-opencl-icd intel-level-zero-gpu level-zero \
-        intel-media-va-driver-non-free libmfx1 libmfxgen1 libvpl2 \
-        libegl-mesa0 libegl1-mesa libegl1-mesa-dev libgbm1 libgl1-mesa-dev libgl1-mesa-dri \
-        libglapi-mesa libgles2-mesa-dev libglx-mesa0 libigdgmm12 libxatracker2 mesa-va-drivers \
-        mesa-vdpau-drivers mesa-vulkan-drivers va-driver-all vainfo hwinfo clinfo
-    # Development Packages
-    apt-get install -y libigc-dev intel-igc-cm libigdfcl-dev libigfxcmrt-dev level-zero-dev
-    # Install Intel Support Packages
-    if [ -n "$XPU_VERSION" ]; then
-        apt-get install -y intel-for-pytorch-gpu-dev-${XPU_VERSION} intel-pti-dev
-    else
-        apt-get install -y intel-for-pytorch-gpu-dev intel-pti-dev
-    fi
-
-    # Cleanup
-    apt-get autoclean && apt-get clean
-    rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
-}
-
-function install_rhel() {
-    . /etc/os-release
-    if [[ "${ID}" == "rhel" ]]; then
-        if [[ ! " 8.6 8.8 8.9 9.0 9.2 9.3 " =~ " ${VERSION_ID} " ]]; then
-            echo "RHEL version ${VERSION_ID} not supported"
-            exit
-        fi
-    elif [[ "${ID}" == "almalinux" ]]; then
-        # Workaround for almalinux8 which used by quay.io/pypa/manylinux_2_28_x86_64
-        VERSION_ID="8.6"
-    fi
-
-    dnf install -y 'dnf-command(config-manager)'
-    # To add the online network package repository for the GPU Driver
-    dnf config-manager --add-repo \
-        https://repositories.intel.com/gpu/rhel/${VERSION_ID}${XPU_DRIVER_VERSION}/unified/intel-gpu-${VERSION_ID}.repo
-    # To add the online network network package repository for the Intel Support Packages
-    tee > /etc/yum.repos.d/intel-for-pytorch-gpu-dev.repo << EOF
-[intel-for-pytorch-gpu-dev]
-name=Intel for Pytorch GPU dev repository
-baseurl=https://yum.repos.intel.com/intel-for-pytorch-gpu-dev
-enabled=1
-gpgcheck=1
-repo_gpgcheck=1
-gpgkey=https://yum.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
-EOF
-
-    # The xpu-smi packages
-    dnf install -y xpu-smi
-    # Compute and Media Runtimes
-    dnf install --skip-broken -y \
-        intel-opencl intel-media intel-mediasdk libmfxgen1 libvpl2\
-        level-zero intel-level-zero-gpu mesa-dri-drivers mesa-vulkan-drivers \
-        mesa-vdpau-drivers libdrm mesa-libEGL mesa-libgbm mesa-libGL \
-        mesa-libxatracker libvpl-tools intel-metrics-discovery \
-        intel-metrics-library intel-igc-core intel-igc-cm \
-        libva libva-utils intel-gmmlib libmetee intel-gsc intel-ocloc
-    # Development packages
-    dnf install -y --refresh \
-        intel-igc-opencl-devel level-zero-devel intel-gsc-devel libmetee-devel \
-        level-zero-devel
-    # Install Intel Support Packages
-    yum install -y intel-for-pytorch-gpu-dev intel-pti-dev
-
-    # Cleanup
-    dnf clean all
-    rm -rf /var/cache/yum
-    rm -rf /var/lib/yum/yumdb
-    rm -rf /var/lib/yum/history
-}
-
-function install_sles() {
-    . /etc/os-release
-    VERSION_SP=${VERSION_ID//./sp}
-    if [[ ! " 15sp4 15sp5 " =~ " ${VERSION_SP} " ]]; then
-        echo "SLES version ${VERSION_ID} not supported"
-        exit
-    fi
-
-    # To add the online network package repository for the GPU Driver
-    zypper addrepo -f -r \
-        https://repositories.intel.com/gpu/sles/${VERSION_SP}${XPU_DRIVER_VERSION}/unified/intel-gpu-${VERSION_SP}.repo
-    rpm --import https://repositories.intel.com/gpu/intel-graphics.key
-    # To add the online network network package repository for the Intel Support Packages
-    zypper addrepo https://yum.repos.intel.com/intel-for-pytorch-gpu-dev intel-for-pytorch-gpu-dev
-    rpm --import https://yum.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
-
-    # The xpu-smi packages
-    zypper install -y lsb-release flex bison xpu-smi
-    # Compute and Media Runtimes
-    zypper install -y intel-level-zero-gpu level-zero intel-gsc intel-opencl intel-ocloc \
-        intel-media-driver libigfxcmrt7 libvpl2 libvpl-tools libmfxgen1 libmfx1
-    # Development packages
-    zypper install -y libigdfcl-devel intel-igc-cm libigfxcmrt-devel level-zero-devel
-
-    # Install Intel Support Packages
-    zypper install -y intel-for-pytorch-gpu-dev intel-pti-dev
-
-}
-
-# Default use GPU driver LTS releases
-XPU_DRIVER_VERSION="/lts/2350"
-if [[ "${XPU_DRIVER_TYPE,,}" == "rolling" ]]; then
-    # Use GPU driver rolling releases
-    XPU_DRIVER_VERSION=""
-fi
-
-# The installation depends on the base OS
-ID=$(grep -oP '(?<=^ID=).+' /etc/os-release | tr -d '"')
-case "$ID" in
-    ubuntu)
-        install_ubuntu
-    ;;
-    rhel|almalinux)
-        install_rhel
-    ;;
-    sles)
-        install_sles
-    ;;
-    *)
-        echo "Unable to determine OS..."
-        exit 1
-    ;;
-esac

.ci/docker/conda/Dockerfile

@@ -1,100 +0,0 @@
-ARG CUDA_VERSION=10.2
-ARG BASE_TARGET=cuda${CUDA_VERSION}
-FROM centos:7 as base
-
-ENV LC_ALL en_US.UTF-8
-ENV LANG en_US.UTF-8
-ENV LANGUAGE en_US.UTF-8
-
-ARG DEVTOOLSET_VERSION=9
-RUN sed -i s/mirror.centos.org/vault.centos.org/g /etc/yum.repos.d/*.repo
-RUN sed -i s/^#.*baseurl=http/baseurl=http/g /etc/yum.repos.d/*.repo
-RUN sed -i s/^mirrorlist=http/#mirrorlist=http/g /etc/yum.repos.d/*.repo
-RUN yum update -y
-RUN yum install -y wget curl perl util-linux xz bzip2 git patch which unzip
-# Just add everything as a safe.directory for git since these will be used in multiple places with git
-RUN git config --global --add safe.directory '*'
-RUN yum install -y yum-utils centos-release-scl
-RUN yum-config-manager --enable rhel-server-rhscl-7-rpms
-RUN sed -i s/mirror.centos.org/vault.centos.org/g /etc/yum.repos.d/*.repo
-RUN sed -i s/^#.*baseurl=http/baseurl=http/g /etc/yum.repos.d/*.repo
-RUN sed -i s/^mirrorlist=http/#mirrorlist=http/g /etc/yum.repos.d/*.repo
-RUN yum install -y devtoolset-${DEVTOOLSET_VERSION}-gcc devtoolset-${DEVTOOLSET_VERSION}-gcc-c++ devtoolset-${DEVTOOLSET_VERSION}-gcc-gfortran devtoolset-${DEVTOOLSET_VERSION}-binutils
-# EPEL for cmake
-RUN yum --enablerepo=extras install -y epel-release
-
-# cmake
-RUN yum install -y cmake3 && \
-    ln -s /usr/bin/cmake3 /usr/bin/cmake
-ENV PATH=/opt/rh/devtoolset-${DEVTOOLSET_VERSION}/root/usr/bin:$PATH
-ENV LD_LIBRARY_PATH=/opt/rh/devtoolset-${DEVTOOLSET_VERSION}/root/usr/lib64:/opt/rh/devtoolset-${DEVTOOLSET_VERSION}/root/usr/lib:$LD_LIBRARY_PATH
-
-RUN yum install -y autoconf aclocal automake make sudo
-RUN rm -rf /usr/local/cuda-*
-
-FROM base as patchelf
-# Install patchelf
-ADD ./common/install_patchelf.sh install_patchelf.sh
-RUN bash ./install_patchelf.sh && rm install_patchelf.sh && cp $(which patchelf) /patchelf
-
-FROM base as openssl
-# Install openssl
-ADD ./common/install_openssl.sh install_openssl.sh
-RUN bash ./install_openssl.sh && rm install_openssl.sh
-
-FROM base as conda
-# Install Anaconda
-ADD ./common/install_conda_docker.sh install_conda.sh
-RUN bash ./install_conda.sh && rm install_conda.sh
-
-# Install CUDA
-FROM base as cuda
-ARG CUDA_VERSION=10.2
-RUN rm -rf /usr/local/cuda-*
-ADD ./common/install_cuda.sh install_cuda.sh
-ENV CUDA_HOME=/usr/local/cuda-${CUDA_VERSION}
-# Preserve CUDA_VERSION for the builds
-ENV CUDA_VERSION=${CUDA_VERSION}
-# Make things in our path by default
-ENV PATH=/usr/local/cuda-${CUDA_VERSION}/bin:$PATH
-
-FROM cuda as cuda11.8
-RUN bash ./install_cuda.sh 11.8
-ENV DESIRED_CUDA=11.8
-
-FROM cuda as cuda12.1
-RUN bash ./install_cuda.sh 12.1
-ENV DESIRED_CUDA=12.1
-
-FROM cuda as cuda12.4
-RUN bash ./install_cuda.sh 12.4
-ENV DESIRED_CUDA=12.4
-
-# Install MNIST test data
-FROM base as mnist
-ADD ./common/install_mnist.sh install_mnist.sh
-RUN bash ./install_mnist.sh
-
-FROM base as all_cuda
-COPY --from=cuda11.8  /usr/local/cuda-11.8 /usr/local/cuda-11.8
-COPY --from=cuda12.1  /usr/local/cuda-12.1 /usr/local/cuda-12.1
-COPY --from=cuda12.4  /usr/local/cuda-12.4 /usr/local/cuda-12.4
-
-# Final step
-FROM ${BASE_TARGET} as final
-COPY --from=openssl            /opt/openssl           /opt/openssl
-COPY --from=patchelf           /patchelf              /usr/local/bin/patchelf
-COPY --from=conda              /opt/conda             /opt/conda
-
-# Add jni.h for java host build.
-COPY ./common/install_jni.sh install_jni.sh
-COPY ./java/jni.h jni.h
-RUN bash ./install_jni.sh && rm install_jni.sh
-
-ENV  PATH /opt/conda/bin:$PATH
-COPY --from=mnist  /usr/local/mnist /usr/local/mnist
-RUN rm -rf /usr/local/cuda
-RUN chmod o+rw /usr/local
-RUN touch /.condarc && \
-    chmod o+rw /.condarc && \
-    chmod -R o+rw /opt/conda

.ci/docker/conda/build.sh

@@ -1,82 +0,0 @@
-#!/usr/bin/env bash
-# Script used only in CD pipeline
-
-set -eou pipefail
-
-image="$1"
-shift
-
-if [ -z "${image}" ]; then
-  echo "Usage: $0 IMAGE"
-  exit 1
-fi
-
-DOCKER_IMAGE_NAME="pytorch/${image}"
-
-
-export DOCKER_BUILDKIT=1
-TOPDIR=$(git rev-parse --show-toplevel)
-
-CUDA_VERSION=${CUDA_VERSION:-12.1}
-
-case ${CUDA_VERSION} in
-  cpu)
-    BASE_TARGET=base
-    DOCKER_TAG=cpu
-    ;;
-  all)
-    BASE_TARGET=all_cuda
-    DOCKER_TAG=latest
-    ;;
-  *)
-    BASE_TARGET=cuda${CUDA_VERSION}
-    DOCKER_TAG=cuda${CUDA_VERSION}
-    ;;
-esac
-
-
-(
-  set -x
-  # TODO: Remove LimitNOFILE=1048576 patch once https://github.com/pytorch/test-infra/issues/5712
-  # is resolved. This patch is required in order to fix timing out of Docker build on Amazon Linux 2023.
-  sudo sed -i s/LimitNOFILE=infinity/LimitNOFILE=1048576/ /usr/lib/systemd/system/docker.service
-  sudo systemctl daemon-reload
-  sudo systemctl restart docker
-
-  docker build \
-    --target final \
-    --progress plain \
-    --build-arg "BASE_TARGET=${BASE_TARGET}" \
-    --build-arg "CUDA_VERSION=${CUDA_VERSION}" \
-    --build-arg "DEVTOOLSET_VERSION=9" \
-    -t ${DOCKER_IMAGE_NAME} \
-    $@ \
-    -f "${TOPDIR}/.ci/docker/conda/Dockerfile" \
-    ${TOPDIR}/.ci/docker/
-)
-
-if [[ "${DOCKER_TAG}" =~ ^cuda* ]]; then
-  # Test that we're using the right CUDA compiler
-  (
-    set -x
-    docker run --rm "${DOCKER_IMAGE_NAME}" nvcc --version | grep "cuda_${CUDA_VERSION}"
-  )
-fi
-
-GITHUB_REF=${GITHUB_REF:-$(git symbolic-ref -q HEAD || git describe --tags --exact-match)}
-GIT_BRANCH_NAME=${GITHUB_REF##*/}
-GIT_COMMIT_SHA=${GITHUB_SHA:-$(git rev-parse HEAD)}
-DOCKER_IMAGE_BRANCH_TAG=${DOCKER_IMAGE_NAME}-${GIT_BRANCH_NAME}
-DOCKER_IMAGE_SHA_TAG=${DOCKER_IMAGE_NAME}-${GIT_COMMIT_SHA}
-if [[ "${WITH_PUSH:-}" == true ]]; then
-  (
-    set -x
-    docker push "${DOCKER_IMAGE_NAME}"
-    if [[ -n ${GITHUB_REF} ]]; then
-        docker tag ${DOCKER_IMAGE_NAME} ${DOCKER_IMAGE_BRANCH_TAG}
-        docker tag ${DOCKER_IMAGE_NAME} ${DOCKER_IMAGE_SHA_TAG}
-        docker push "${DOCKER_IMAGE_BRANCH_TAG}"
-        docker push "${DOCKER_IMAGE_SHA_TAG}"
-    fi
-  )
-fi

.ci/docker/libtorch/Dockerfile

@@ -1,107 +0,0 @@
-ARG BASE_TARGET=base
-ARG GPU_IMAGE=ubuntu:20.04
-FROM ${GPU_IMAGE} as base
-
-ENV DEBIAN_FRONTEND=noninteractive
-
-RUN apt-get clean && apt-get update
-RUN apt-get install -y curl locales g++ git-all autoconf automake make cmake wget unzip sudo
-# Just add everything as a safe.directory for git since these will be used in multiple places with git
-RUN git config --global --add safe.directory '*'
-
-RUN locale-gen en_US.UTF-8
-
-ENV LC_ALL en_US.UTF-8
-ENV LANG en_US.UTF-8
-ENV LANGUAGE en_US.UTF-8
-
-# Install openssl
-FROM base as openssl
-ADD ./common/install_openssl.sh install_openssl.sh
-RUN bash ./install_openssl.sh && rm install_openssl.sh
-
-# Install python
-FROM base as python
-ADD common/install_cpython.sh install_cpython.sh
-RUN apt-get update -y && \
-    apt-get install build-essential gdb lcov libbz2-dev libffi-dev \
-        libgdbm-dev liblzma-dev libncurses5-dev libreadline6-dev \
-        libsqlite3-dev libssl-dev lzma lzma-dev tk-dev uuid-dev zlib1g-dev -y && \
-    bash ./install_cpython.sh && \
-    rm install_cpython.sh && \
-    apt-get clean
-
-FROM base as conda
-ADD ./common/install_conda_docker.sh install_conda.sh
-RUN bash ./install_conda.sh && rm install_conda.sh
-
-FROM base as cpu
-# Install Anaconda
-COPY --from=conda /opt/conda /opt/conda
-# Install python
-COPY --from=python /opt/python    /opt/python
-COPY --from=python /opt/_internal /opt/_internal
-ENV PATH=/opt/conda/bin:/usr/local/cuda/bin:$PATH
-# Install MKL
-ADD ./common/install_mkl.sh install_mkl.sh
-RUN bash ./install_mkl.sh && rm install_mkl.sh
-
-FROM cpu as cuda
-ADD ./common/install_cuda.sh install_cuda.sh
-ADD ./common/install_magma.sh install_magma.sh
-ENV CUDA_HOME /usr/local/cuda
-
-FROM cuda as cuda11.8
-RUN bash ./install_cuda.sh 11.8
-RUN bash ./install_magma.sh 11.8
-RUN ln -sf /usr/local/cuda-11.8 /usr/local/cuda
-
-FROM cuda as cuda12.1
-RUN bash ./install_cuda.sh 12.1
-RUN bash ./install_magma.sh 12.1
-RUN ln -sf /usr/local/cuda-12.1 /usr/local/cuda
-
-FROM cuda as cuda12.4
-RUN bash ./install_cuda.sh 12.4
-RUN bash ./install_magma.sh 12.4
-RUN ln -sf /usr/local/cuda-12.4 /usr/local/cuda
-
-FROM cpu as rocm
-ARG PYTORCH_ROCM_ARCH
-ENV PYTORCH_ROCM_ARCH ${PYTORCH_ROCM_ARCH}
-ENV MKLROOT /opt/intel
-# Adding ROCM_PATH env var so that LoadHip.cmake (even with logic updated for ROCm6.0)
-# find HIP works for ROCm5.7. Not needed for ROCm6.0 and above.
-# Remove below when ROCm5.7 is not in support matrix anymore.
-ENV ROCM_PATH /opt/rocm
-# No need to install ROCm as base docker image should have full ROCm install
-#ADD ./common/install_rocm.sh install_rocm.sh
-ADD ./common/install_rocm_drm.sh install_rocm_drm.sh
-ADD ./common/install_rocm_magma.sh install_rocm_magma.sh
-# gfortran and python needed for building magma from source for ROCm
-RUN apt-get update -y && \
-    apt-get install gfortran -y && \
-    apt-get install python -y && \
-    apt-get clean
-
-RUN bash ./install_rocm_drm.sh && rm install_rocm_drm.sh
-RUN bash ./install_rocm_magma.sh && rm install_rocm_magma.sh
-
-# Install AOTriton
-COPY ./common/common_utils.sh common_utils.sh
-COPY ./aotriton_version.txt aotriton_version.txt
-COPY ./common/install_aotriton.sh install_aotriton.sh
-RUN bash ./install_aotriton.sh /opt/rocm && rm install_aotriton.sh aotriton_version.txt
-ENV AOTRITON_INSTALLED_PREFIX /opt/rocm/aotriton
-
-FROM ${BASE_TARGET} as final
-COPY --from=openssl            /opt/openssl           /opt/openssl
-# Install patchelf
-ADD ./common/install_patchelf.sh install_patchelf.sh
-RUN bash ./install_patchelf.sh && rm install_patchelf.sh
-# Install Anaconda
-COPY --from=conda /opt/conda /opt/conda
-# Install python
-COPY --from=python /opt/python    /opt/python
-COPY --from=python /opt/_internal /opt/_internal
-ENV PATH=/opt/conda/bin:/usr/local/cuda/bin:$PATH

.ci/docker/libtorch/build.sh

@@ -1,93 +0,0 @@
-#!/usr/bin/env bash
-# Script used only in CD pipeline
-
-set -eou pipefail
-
-image="$1"
-shift
-
-if [ -z "${image}" ]; then
-  echo "Usage: $0 IMAGE"
-  exit 1
-fi
-
-DOCKER_IMAGE="pytorch/${image}"
-
-TOPDIR=$(git rev-parse --show-toplevel)
-
-GPU_ARCH_TYPE=${GPU_ARCH_TYPE:-cpu}
-GPU_ARCH_VERSION=${GPU_ARCH_VERSION:-}
-
-WITH_PUSH=${WITH_PUSH:-}
-
-DOCKER=${DOCKER:-docker}
-
-case ${GPU_ARCH_TYPE} in
-    cpu)
-        BASE_TARGET=cpu
-        DOCKER_TAG=cpu
-        GPU_IMAGE=ubuntu:20.04
-        DOCKER_GPU_BUILD_ARG=""
-        ;;
-    cuda)
-        BASE_TARGET=cuda${GPU_ARCH_VERSION}
-        DOCKER_TAG=cuda${GPU_ARCH_VERSION}
-        GPU_IMAGE=ubuntu:20.04
-        DOCKER_GPU_BUILD_ARG=""
-        ;;
-    rocm)
-        BASE_TARGET=rocm
-        DOCKER_TAG=rocm${GPU_ARCH_VERSION}
-        GPU_IMAGE=rocm/dev-ubuntu-20.04:${GPU_ARCH_VERSION}-complete
-        PYTORCH_ROCM_ARCH="gfx900;gfx906;gfx908;gfx90a;gfx1030;gfx1100"
-        ROCM_REGEX="([0-9]+)\.([0-9]+)[\.]?([0-9]*)"
-        if [[ $GPU_ARCH_VERSION =~ $ROCM_REGEX ]]; then
-            ROCM_VERSION_INT=$((${BASH_REMATCH[1]}*10000 + ${BASH_REMATCH[2]}*100 + ${BASH_REMATCH[3]:-0}))
-        else
-            echo "ERROR: rocm regex failed"
-            exit 1
-        fi
-        if [[ $ROCM_VERSION_INT -ge 60000 ]]; then
-            PYTORCH_ROCM_ARCH+=";gfx942"
-        fi
-        DOCKER_GPU_BUILD_ARG="--build-arg PYTORCH_ROCM_ARCH=${PYTORCH_ROCM_ARCH}"
-        ;;
-    *)
-        echo "ERROR: Unrecognized GPU_ARCH_TYPE: ${GPU_ARCH_TYPE}"
-        exit 1
-        ;;
-esac
-
-
-(
-    set -x
-    DOCKER_BUILDKIT=1 ${DOCKER} build \
-         --target final \
-        ${DOCKER_GPU_BUILD_ARG} \
-        --build-arg "GPU_IMAGE=${GPU_IMAGE}" \
-        --build-arg "BASE_TARGET=${BASE_TARGET}" \
-        -t "${DOCKER_IMAGE}" \
-        $@ \
-        -f "${TOPDIR}/.ci/docker/libtorch/Dockerfile" \
-        "${TOPDIR}/.ci/docker/"
-
-)
-
-GITHUB_REF=${GITHUB_REF:-$(git symbolic-ref -q HEAD || git describe --tags --exact-match)}
-GIT_BRANCH_NAME=${GITHUB_REF##*/}
-GIT_COMMIT_SHA=${GITHUB_SHA:-$(git rev-parse HEAD)}
-DOCKER_IMAGE_BRANCH_TAG=${DOCKER_IMAGE}-${GIT_BRANCH_NAME}
-DOCKER_IMAGE_SHA_TAG=${DOCKER_IMAGE}-${GIT_COMMIT_SHA}
-
-if [[ "${WITH_PUSH}" == true ]]; then
-  (
-    set -x
-    ${DOCKER} push "${DOCKER_IMAGE}"
-    if [[ -n ${GITHUB_REF} ]]; then
-        ${DOCKER} tag ${DOCKER_IMAGE} ${DOCKER_IMAGE_BRANCH_TAG}
-        ${DOCKER} tag ${DOCKER_IMAGE} ${DOCKER_IMAGE_SHA_TAG}
-        ${DOCKER} push "${DOCKER_IMAGE_BRANCH_TAG}"
-        ${DOCKER} push "${DOCKER_IMAGE_SHA_TAG}"
-    fi
-  )
-fi

.ci/docker/linter-cuda/Dockerfile

@@ -1,44 +0,0 @@
-ARG UBUNTU_VERSION
-
-FROM ubuntu:${UBUNTU_VERSION}
-
-ARG UBUNTU_VERSION
-
-ENV DEBIAN_FRONTEND noninteractive
-
-# Install common dependencies (so that this step can be cached separately)
-COPY ./common/install_base.sh install_base.sh
-RUN bash ./install_base.sh && rm install_base.sh
-
-# Install missing libomp-dev
-RUN apt-get update && apt-get install -y --no-install-recommends libomp-dev && apt-get autoclean && apt-get clean && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
-
-# Install user
-COPY ./common/install_user.sh install_user.sh
-RUN bash ./install_user.sh && rm install_user.sh
-
-# Install conda and other packages (e.g., numpy, pytest)
-ARG ANACONDA_PYTHON_VERSION
-ARG CONDA_CMAKE
-ENV ANACONDA_PYTHON_VERSION=$ANACONDA_PYTHON_VERSION
-ENV PATH /opt/conda/envs/py_$ANACONDA_PYTHON_VERSION/bin:/opt/conda/bin:$PATH
-COPY requirements-ci.txt /opt/conda/requirements-ci.txt
-COPY ./common/install_conda.sh install_conda.sh
-COPY ./common/common_utils.sh common_utils.sh
-RUN bash ./install_conda.sh && rm install_conda.sh common_utils.sh /opt/conda/requirements-ci.txt
-
-# Install cuda and cudnn
-ARG CUDA_VERSION
-COPY ./common/install_cuda.sh install_cuda.sh
-RUN bash ./install_cuda.sh ${CUDA_VERSION} && rm install_cuda.sh
-ENV DESIRED_CUDA ${CUDA_VERSION}
-ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:$PATH
-
-# Note that Docker build forbids copying file outside the build context
-COPY ./common/install_linter.sh install_linter.sh
-COPY ./common/common_utils.sh common_utils.sh
-RUN bash ./install_linter.sh
-RUN rm install_linter.sh common_utils.sh
-
-USER jenkins
-CMD ["bash"]

.ci/docker/linter/Dockerfile

@@ -1,34 +0,0 @@
-ARG UBUNTU_VERSION
-
-FROM ubuntu:${UBUNTU_VERSION}
-
-ARG UBUNTU_VERSION
-
-ENV DEBIAN_FRONTEND noninteractive
-
-# Install common dependencies (so that this step can be cached separately)
-COPY ./common/install_base.sh install_base.sh
-RUN bash ./install_base.sh && rm install_base.sh
-
-# Install user
-COPY ./common/install_user.sh install_user.sh
-RUN bash ./install_user.sh && rm install_user.sh
-
-# Install conda and other packages (e.g., numpy, pytest)
-ARG ANACONDA_PYTHON_VERSION
-ARG CONDA_CMAKE
-ENV ANACONDA_PYTHON_VERSION=$ANACONDA_PYTHON_VERSION
-ENV PATH /opt/conda/envs/py_$ANACONDA_PYTHON_VERSION/bin:/opt/conda/bin:$PATH
-COPY requirements-ci.txt /opt/conda/requirements-ci.txt
-COPY ./common/install_conda.sh install_conda.sh
-COPY ./common/common_utils.sh common_utils.sh
-RUN bash ./install_conda.sh && rm install_conda.sh common_utils.sh /opt/conda/requirements-ci.txt
-
-# Note that Docker build forbids copying file outside the build context
-COPY ./common/install_linter.sh install_linter.sh
-COPY ./common/common_utils.sh common_utils.sh
-RUN bash ./install_linter.sh
-RUN rm install_linter.sh common_utils.sh
-
-USER jenkins
-CMD ["bash"]

.ci/docker/manywheel/Dockerfile

@@ -1,203 +0,0 @@
-# syntax = docker/dockerfile:experimental
-ARG ROCM_VERSION=3.7
-ARG BASE_CUDA_VERSION=11.8
-
-ARG GPU_IMAGE=centos:7
-FROM centos:7 as base
-
-ENV LC_ALL en_US.UTF-8
-ENV LANG en_US.UTF-8
-ENV LANGUAGE en_US.UTF-8
-
-ARG DEVTOOLSET_VERSION=9
-
-# Note: This is required patch since CentOS have reached EOL
-# otherwise any yum install setp will fail
-RUN sed -i s/mirror.centos.org/vault.centos.org/g /etc/yum.repos.d/*.repo
-RUN sed -i s/^#.*baseurl=http/baseurl=http/g /etc/yum.repos.d/*.repo
-RUN sed -i s/^mirrorlist=http/#mirrorlist=http/g /etc/yum.repos.d/*.repo
-RUN yum install -y wget curl perl util-linux xz bzip2 git patch which perl zlib-devel
-# Just add everything as a safe.directory for git since these will be used in multiple places with git
-RUN git config --global --add safe.directory '*'
-RUN yum install -y yum-utils centos-release-scl
-RUN yum-config-manager --enable rhel-server-rhscl-7-rpms
-# Note: After running yum-config-manager --enable rhel-server-rhscl-7-rpms
-# patch is required once again. Somehow this steps adds mirror.centos.org
-RUN sed -i s/mirror.centos.org/vault.centos.org/g /etc/yum.repos.d/*.repo
-RUN sed -i s/^#.*baseurl=http/baseurl=http/g /etc/yum.repos.d/*.repo
-RUN sed -i s/^mirrorlist=http/#mirrorlist=http/g /etc/yum.repos.d/*.repo
-RUN yum install -y devtoolset-${DEVTOOLSET_VERSION}-gcc devtoolset-${DEVTOOLSET_VERSION}-gcc-c++ devtoolset-${DEVTOOLSET_VERSION}-gcc-gfortran devtoolset-${DEVTOOLSET_VERSION}-binutils
-ENV PATH=/opt/rh/devtoolset-${DEVTOOLSET_VERSION}/root/usr/bin:$PATH
-ENV LD_LIBRARY_PATH=/opt/rh/devtoolset-${DEVTOOLSET_VERSION}/root/usr/lib64:/opt/rh/devtoolset-${DEVTOOLSET_VERSION}/root/usr/lib:$LD_LIBRARY_PATH
-
-RUN yum --enablerepo=extras install -y epel-release
-
-# cmake-3.18.4 from pip
-RUN yum install -y python3-pip && \
-    python3 -mpip install cmake==3.18.4 && \
-    ln -s /usr/local/bin/cmake /usr/bin/cmake
-
-RUN yum install -y autoconf aclocal automake make sudo
-
-FROM base as openssl
-# Install openssl (this must precede `build python` step)
-# (In order to have a proper SSL module, Python is compiled
-# against a recent openssl [see env vars above], which is linked
-# statically. We delete openssl afterwards.)
-ADD ./common/install_openssl.sh install_openssl.sh
-RUN bash ./install_openssl.sh && rm install_openssl.sh
-
-# EPEL for cmake
-FROM base as patchelf
-# Install patchelf
-ADD ./common/install_patchelf.sh install_patchelf.sh
-RUN bash ./install_patchelf.sh && rm install_patchelf.sh
-RUN cp $(which patchelf) /patchelf
-
-FROM patchelf as python
-# build python
-COPY manywheel/build_scripts /build_scripts
-ADD ./common/install_cpython.sh /build_scripts/install_cpython.sh
-RUN bash build_scripts/build.sh && rm -r build_scripts
-
-FROM base as cuda
-ARG BASE_CUDA_VERSION=10.2
-# Install CUDA
-ADD ./common/install_cuda.sh install_cuda.sh
-RUN bash ./install_cuda.sh ${BASE_CUDA_VERSION} && rm install_cuda.sh
-
-FROM base as intel
-# MKL
-ADD ./common/install_mkl.sh install_mkl.sh
-RUN bash ./install_mkl.sh && rm install_mkl.sh
-
-FROM base as magma
-ARG BASE_CUDA_VERSION=10.2
-# Install magma
-ADD ./common/install_magma.sh install_magma.sh
-RUN bash ./install_magma.sh ${BASE_CUDA_VERSION} && rm install_magma.sh
-
-FROM base as jni
-# Install java jni header
-ADD ./common/install_jni.sh install_jni.sh
-ADD ./java/jni.h jni.h
-RUN bash ./install_jni.sh && rm install_jni.sh
-
-FROM base as libpng
-# Install libpng
-ADD ./common/install_libpng.sh install_libpng.sh
-RUN bash ./install_libpng.sh && rm install_libpng.sh
-
-FROM ${GPU_IMAGE} as common
-RUN sed -i s/mirror.centos.org/vault.centos.org/g /etc/yum.repos.d/*.repo
-RUN sed -i s/^#.*baseurl=http/baseurl=http/g /etc/yum.repos.d/*.repo
-RUN sed -i s/^mirrorlist=http/#mirrorlist=http/g /etc/yum.repos.d/*.repo
-ENV LC_ALL en_US.UTF-8
-ENV LANG en_US.UTF-8
-ENV LANGUAGE en_US.UTF-8
-RUN yum install -y \
-        aclocal \
-        autoconf \
-        automake \
-        bison \
-        bzip2 \
-        curl \
-        diffutils \
-        file \
-        git \
-        make \
-        patch \
-        perl \
-        unzip \
-        util-linux \
-        wget \
-        which \
-        xz \
-        yasm
-RUN yum install -y \
-    https://repo.ius.io/ius-release-el7.rpm \
-    https://ossci-linux.s3.amazonaws.com/epel-release-7-14.noarch.rpm
-
-RUN yum swap -y git git236-core
-# git236+ would refuse to run git commands in repos owned by other users
-# Which causes version check to fail, as pytorch repo is bind-mounted into the image
-# Override this behaviour by treating every folder as safe
-# For more details see https://github.com/pytorch/pytorch/issues/78659#issuecomment-1144107327
-RUN git config --global --add safe.directory "*"
-
-ENV SSL_CERT_FILE=/opt/_internal/certs.pem
-# Install LLVM version
-COPY --from=openssl            /opt/openssl                          /opt/openssl
-COPY --from=python             /opt/python                           /opt/python
-COPY --from=python             /opt/_internal                        /opt/_internal
-COPY --from=python             /opt/python/cp39-cp39/bin/auditwheel /usr/local/bin/auditwheel
-COPY --from=intel              /opt/intel                            /opt/intel
-COPY --from=patchelf           /usr/local/bin/patchelf               /usr/local/bin/patchelf
-COPY --from=jni                /usr/local/include/jni.h              /usr/local/include/jni.h
-COPY --from=libpng             /usr/local/bin/png*                   /usr/local/bin/
-COPY --from=libpng             /usr/local/bin/libpng*                /usr/local/bin/
-COPY --from=libpng             /usr/local/include/png*               /usr/local/include/
-COPY --from=libpng             /usr/local/include/libpng*            /usr/local/include/
-COPY --from=libpng             /usr/local/lib/libpng*                /usr/local/lib/
-COPY --from=libpng             /usr/local/lib/pkgconfig              /usr/local/lib/pkgconfig
-
-FROM common as cpu_final
-ARG BASE_CUDA_VERSION=10.1
-ARG DEVTOOLSET_VERSION=9
-RUN sed -i s/mirror.centos.org/vault.centos.org/g /etc/yum.repos.d/*.repo
-RUN sed -i s/^#.*baseurl=http/baseurl=http/g /etc/yum.repos.d/*.repo
-RUN sed -i s/^mirrorlist=http/#mirrorlist=http/g /etc/yum.repos.d/*.repo
-
-RUN yum install -y yum-utils centos-release-scl
-RUN yum-config-manager --enable rhel-server-rhscl-7-rpms
-RUN sed -i s/mirror.centos.org/vault.centos.org/g /etc/yum.repos.d/*.repo
-RUN sed -i s/^#.*baseurl=http/baseurl=http/g /etc/yum.repos.d/*.repo
-RUN sed -i s/^mirrorlist=http/#mirrorlist=http/g /etc/yum.repos.d/*.repo
-RUN yum install -y devtoolset-${DEVTOOLSET_VERSION}-gcc devtoolset-${DEVTOOLSET_VERSION}-gcc-c++ devtoolset-${DEVTOOLSET_VERSION}-gcc-gfortran devtoolset-${DEVTOOLSET_VERSION}-binutils
-ENV PATH=/opt/rh/devtoolset-${DEVTOOLSET_VERSION}/root/usr/bin:$PATH
-ENV LD_LIBRARY_PATH=/opt/rh/devtoolset-${DEVTOOLSET_VERSION}/root/usr/lib64:/opt/rh/devtoolset-${DEVTOOLSET_VERSION}/root/usr/lib:$LD_LIBRARY_PATH
-
-# cmake is already installed inside the rocm base image, so remove if present
-RUN rpm -e cmake || true
-# cmake-3.18.4 from pip
-RUN yum install -y python3-pip && \
-    python3 -mpip install cmake==3.18.4 && \
-    ln -s /usr/local/bin/cmake /usr/bin/cmake
-
-# ninja
-RUN yum install -y ninja-build
-
-FROM cpu_final as cuda_final
-RUN rm -rf /usr/local/cuda-${BASE_CUDA_VERSION}
-COPY --from=cuda     /usr/local/cuda-${BASE_CUDA_VERSION}  /usr/local/cuda-${BASE_CUDA_VERSION}
-COPY --from=magma    /usr/local/cuda-${BASE_CUDA_VERSION}  /usr/local/cuda-${BASE_CUDA_VERSION}
-RUN ln -sf /usr/local/cuda-${BASE_CUDA_VERSION} /usr/local/cuda
-ENV PATH=/usr/local/cuda/bin:$PATH
-
-FROM cpu_final as rocm_final
-ARG ROCM_VERSION=3.7
-ARG PYTORCH_ROCM_ARCH
-ENV PYTORCH_ROCM_ARCH ${PYTORCH_ROCM_ARCH}
-# Adding ROCM_PATH env var so that LoadHip.cmake (even with logic updated for ROCm6.0)
-# find HIP works for ROCm5.7. Not needed for ROCm6.0 and above.
-# Remove below when ROCm5.7 is not in support matrix anymore.
-ENV ROCM_PATH /opt/rocm
-ENV MKLROOT /opt/intel
-# No need to install ROCm as base docker image should have full ROCm install
-#ADD ./common/install_rocm.sh install_rocm.sh
-#RUN ROCM_VERSION=${ROCM_VERSION} bash ./install_rocm.sh && rm install_rocm.sh
-ADD ./common/install_rocm_drm.sh install_rocm_drm.sh
-RUN bash ./install_rocm_drm.sh && rm install_rocm_drm.sh
-# cmake3 is needed for the MIOpen build
-RUN ln -sf /usr/local/bin/cmake /usr/bin/cmake3
-ADD ./common/install_rocm_magma.sh install_rocm_magma.sh
-RUN bash ./install_rocm_magma.sh && rm install_rocm_magma.sh
-ADD ./common/install_miopen.sh install_miopen.sh
-RUN bash ./install_miopen.sh ${ROCM_VERSION} && rm install_miopen.sh
-
-# Install AOTriton
-COPY ./common/common_utils.sh common_utils.sh
-COPY ./aotriton_version.txt aotriton_version.txt
-COPY ./common/install_aotriton.sh install_aotriton.sh
-RUN bash ./install_aotriton.sh /opt/rocm && rm install_aotriton.sh aotriton_version.txt
-ENV AOTRITON_INSTALLED_PREFIX /opt/rocm/aotriton

.ci/docker/manywheel/Dockerfile_2014

@@ -1,153 +0,0 @@
-# syntax = docker/dockerfile:experimental
-ARG ROCM_VERSION=3.7
-ARG BASE_CUDA_VERSION=10.2
-ARG GPU_IMAGE=nvidia/cuda:${BASE_CUDA_VERSION}-devel-centos7
-FROM quay.io/pypa/manylinux2014_x86_64 as base
-
-ENV LC_ALL en_US.UTF-8
-ENV LANG en_US.UTF-8
-ENV LANGUAGE en_US.UTF-8
-
-RUN sed -i s/mirror.centos.org/vault.centos.org/g /etc/yum.repos.d/*.repo
-RUN sed -i s/^#.*baseurl=http/baseurl=http/g /etc/yum.repos.d/*.repo
-RUN sed -i s/^mirrorlist=http/#mirrorlist=http/g /etc/yum.repos.d/*.repo
-RUN yum install -y wget curl perl util-linux xz bzip2 git patch which perl zlib-devel
-RUN yum install -y yum-utils centos-release-scl sudo
-RUN yum-config-manager --enable rhel-server-rhscl-7-rpms
-RUN yum install -y devtoolset-7-gcc devtoolset-7-gcc-c++ devtoolset-7-gcc-gfortran devtoolset-7-binutils
-ENV PATH=/opt/rh/devtoolset-7/root/usr/bin:$PATH
-ENV LD_LIBRARY_PATH=/opt/rh/devtoolset-7/root/usr/lib64:/opt/rh/devtoolset-7/root/usr/lib:$LD_LIBRARY_PATH
-
-# cmake
-RUN yum install -y cmake3 && \
-    ln -s /usr/bin/cmake3 /usr/bin/cmake
-FROM base as openssl
-# Install openssl (this must precede `build python` step)
-# (In order to have a proper SSL module, Python is compiled
-# against a recent openssl [see env vars above], which is linked
-# statically. We delete openssl afterwards.)
-ADD ./common/install_openssl.sh install_openssl.sh
-RUN bash ./install_openssl.sh && rm install_openssl.sh
-
-
-
-# remove unncessary python versions
-RUN rm -rf /opt/python/cp26-cp26m /opt/_internal/cpython-2.6.9-ucs2
-RUN rm -rf /opt/python/cp26-cp26mu /opt/_internal/cpython-2.6.9-ucs4
-RUN rm -rf /opt/python/cp33-cp33m /opt/_internal/cpython-3.3.6
-RUN rm -rf /opt/python/cp34-cp34m /opt/_internal/cpython-3.4.6
-
-FROM base as cuda
-ARG BASE_CUDA_VERSION=10.2
-# Install CUDA
-ADD ./common/install_cuda.sh install_cuda.sh
-RUN bash ./install_cuda.sh ${BASE_CUDA_VERSION} && rm install_cuda.sh
-
-FROM base as intel
-# MKL
-ADD ./common/install_mkl.sh install_mkl.sh
-RUN bash ./install_mkl.sh && rm install_mkl.sh
-
-FROM base as magma
-ARG BASE_CUDA_VERSION=10.2
-# Install magma
-ADD ./common/install_magma.sh install_magma.sh
-RUN bash ./install_magma.sh ${BASE_CUDA_VERSION} && rm install_magma.sh
-
-FROM base as jni
-# Install java jni header
-ADD ./common/install_jni.sh install_jni.sh
-ADD ./java/jni.h jni.h
-RUN bash ./install_jni.sh && rm install_jni.sh
-
-FROM base as libpng
-# Install libpng
-ADD ./common/install_libpng.sh install_libpng.sh
-RUN bash ./install_libpng.sh && rm install_libpng.sh
-
-FROM ${GPU_IMAGE} as common
-RUN sed -i s/mirror.centos.org/vault.centos.org/g /etc/yum.repos.d/*.repo
-RUN sed -i s/^#.*baseurl=http/baseurl=http/g /etc/yum.repos.d/*.repo
-RUN sed -i s/^mirrorlist=http/#mirrorlist=http/g /etc/yum.repos.d/*.repo
-ENV LC_ALL en_US.UTF-8
-ENV LANG en_US.UTF-8
-ENV LANGUAGE en_US.UTF-8
-RUN yum install -y \
-        aclocal \
-        autoconf \
-        automake \
-        bison \
-        bzip2 \
-        curl \
-        diffutils \
-        file \
-        git \
-        make \
-        patch \
-        perl \
-        unzip \
-        util-linux \
-        wget \
-        which \
-        xz \
-        yasm
-RUN yum install -y \
-    https://repo.ius.io/ius-release-el7.rpm \
-    https://ossci-linux.s3.amazonaws.com/epel-release-7-14.noarch.rpm
-
-RUN yum swap -y git git236-core
-# git236+ would refuse to run git commands in repos owned by other users
-# Which causes version check to fail, as pytorch repo is bind-mounted into the image
-# Override this behaviour by treating every folder as safe
-# For more details see https://github.com/pytorch/pytorch/issues/78659#issuecomment-1144107327
-RUN git config --global --add safe.directory "*"
-
-ENV SSL_CERT_FILE=/opt/_internal/certs.pem
-# Install LLVM version
-COPY --from=openssl            /opt/openssl                          /opt/openssl
-COPY --from=base               /opt/python                           /opt/python
-COPY --from=base               /opt/_internal                        /opt/_internal
-COPY --from=base               /usr/local/bin/auditwheel             /usr/local/bin/auditwheel
-COPY --from=intel              /opt/intel                            /opt/intel
-COPY --from=base               /usr/local/bin/patchelf               /usr/local/bin/patchelf
-COPY --from=libpng             /usr/local/bin/png*                   /usr/local/bin/
-COPY --from=libpng             /usr/local/bin/libpng*                /usr/local/bin/
-COPY --from=libpng             /usr/local/include/png*               /usr/local/include/
-COPY --from=libpng             /usr/local/include/libpng*            /usr/local/include/
-COPY --from=libpng             /usr/local/lib/libpng*                /usr/local/lib/
-COPY --from=libpng             /usr/local/lib/pkgconfig              /usr/local/lib/pkgconfig
-COPY --from=jni                /usr/local/include/jni.h              /usr/local/include/jni.h
-
-FROM common as cpu_final
-ARG BASE_CUDA_VERSION=10.2
-RUN yum install -y yum-utils centos-release-scl
-RUN yum-config-manager --enable rhel-server-rhscl-7-rpms
-RUN yum install -y devtoolset-7-gcc devtoolset-7-gcc-c++ devtoolset-7-gcc-gfortran devtoolset-7-binutils
-ENV PATH=/opt/rh/devtoolset-7/root/usr/bin:$PATH
-ENV LD_LIBRARY_PATH=/opt/rh/devtoolset-7/root/usr/lib64:/opt/rh/devtoolset-7/root/usr/lib:$LD_LIBRARY_PATH
-
-# cmake
-RUN yum install -y cmake3 && \
-    ln -s /usr/bin/cmake3 /usr/bin/cmake
-
-# ninja
-RUN yum install -y http://repo.okay.com.mx/centos/7/x86_64/release/okay-release-1-1.noarch.rpm
-RUN yum install -y ninja-build
-
-FROM cpu_final as cuda_final
-RUN rm -rf /usr/local/cuda-${BASE_CUDA_VERSION}
-COPY --from=cuda     /usr/local/cuda-${BASE_CUDA_VERSION}  /usr/local/cuda-${BASE_CUDA_VERSION}
-COPY --from=magma    /usr/local/cuda-${BASE_CUDA_VERSION}  /usr/local/cuda-${BASE_CUDA_VERSION}
-
-FROM common as rocm_final
-ARG ROCM_VERSION=3.7
-# Install ROCm
-ADD ./common/install_rocm.sh install_rocm.sh
-RUN bash ./install_rocm.sh ${ROCM_VERSION} && rm install_rocm.sh
-# cmake is already installed inside the rocm base image, but both 2 and 3 exist
-# cmake3 is needed for the later MIOpen custom build, so that step is last.
-RUN yum install -y cmake3 && \
-    rm -f /usr/bin/cmake && \
-    ln -s /usr/bin/cmake3 /usr/bin/cmake
-ADD ./common/install_miopen.sh install_miopen.sh
-RUN bash ./install_miopen.sh ${ROCM_VERSION} && rm install_miopen.sh

.ci/docker/manywheel/Dockerfile_2_28

@@ -1,157 +0,0 @@
-# syntax = docker/dockerfile:experimental
-ARG ROCM_VERSION=3.7
-ARG BASE_CUDA_VERSION=11.8
-ARG GPU_IMAGE=amd64/almalinux:8
-FROM quay.io/pypa/manylinux_2_28_x86_64 as base
-
-ENV LC_ALL en_US.UTF-8
-ENV LANG en_US.UTF-8
-ENV LANGUAGE en_US.UTF-8
-
-ARG DEVTOOLSET_VERSION=11
-RUN yum install -y sudo wget curl perl util-linux xz bzip2 git patch which perl zlib-devel yum-utils gcc-toolset-${DEVTOOLSET_VERSION}-toolchain
-ENV PATH=/opt/rh/gcc-toolset-${DEVTOOLSET_VERSION}/root/usr/bin:$PATH
-ENV LD_LIBRARY_PATH=/opt/rh/gcc-toolset-${DEVTOOLSET_VERSION}/root/usr/lib64:/opt/rh/gcc-toolset-${DEVTOOLSET_VERSION}/root/usr/lib:$LD_LIBRARY_PATH
-
-# cmake-3.18.4 from pip
-RUN yum install -y python3-pip && \
-    python3 -mpip install cmake==3.18.4 && \
-    ln -s /usr/local/bin/cmake /usr/bin/cmake3
-
-FROM base as openssl
-# Install openssl (this must precede `build python` step)
-# (In order to have a proper SSL module, Python is compiled
-# against a recent openssl [see env vars above], which is linked
-# statically. We delete openssl afterwards.)
-ADD ./common/install_openssl.sh install_openssl.sh
-RUN bash ./install_openssl.sh && rm install_openssl.sh
-
-
-# remove unncessary python versions
-RUN rm -rf /opt/python/cp26-cp26m /opt/_internal/cpython-2.6.9-ucs2
-RUN rm -rf /opt/python/cp26-cp26mu /opt/_internal/cpython-2.6.9-ucs4
-RUN rm -rf /opt/python/cp33-cp33m /opt/_internal/cpython-3.3.6
-RUN rm -rf /opt/python/cp34-cp34m /opt/_internal/cpython-3.4.6
-
-FROM base as cuda
-ARG BASE_CUDA_VERSION=11.8
-# Install CUDA
-ADD ./common/install_cuda.sh install_cuda.sh
-RUN bash ./install_cuda.sh ${BASE_CUDA_VERSION} && rm install_cuda.sh
-
-FROM base as intel
-# MKL
-ADD ./common/install_mkl.sh install_mkl.sh
-RUN bash ./install_mkl.sh && rm install_mkl.sh
-
-FROM base as magma
-ARG BASE_CUDA_VERSION=10.2
-# Install magma
-ADD ./common/install_magma.sh install_magma.sh
-RUN bash ./install_magma.sh ${BASE_CUDA_VERSION} && rm install_magma.sh
-
-FROM base as jni
-# Install java jni header
-ADD ./common/install_jni.sh install_jni.sh
-ADD ./java/jni.h jni.h
-RUN bash ./install_jni.sh && rm install_jni.sh
-
-FROM base as libpng
-# Install libpng
-ADD ./common/install_libpng.sh install_libpng.sh
-RUN bash ./install_libpng.sh && rm install_libpng.sh
-
-FROM ${GPU_IMAGE} as common
-ARG DEVTOOLSET_VERSION=11
-ENV LC_ALL en_US.UTF-8
-ENV LANG en_US.UTF-8
-ENV LANGUAGE en_US.UTF-8
-RUN yum -y install epel-release
-RUN yum -y update
-RUN yum install -y \
-        autoconf \
-        automake \
-        bison \
-        bzip2 \
-        curl \
-        diffutils \
-        file \
-        git \
-        make \
-        patch \
-        perl \
-        unzip \
-        util-linux \
-        wget \
-        which \
-        xz \
-        gcc-toolset-${DEVTOOLSET_VERSION}-toolchain \
-        glibc-langpack-en
-RUN yum install -y \
-    https://repo.ius.io/ius-release-el7.rpm \
-    https://ossci-linux.s3.amazonaws.com/epel-release-7-14.noarch.rpm
-
-RUN yum swap -y git git236-core
-# git236+ would refuse to run git commands in repos owned by other users
-# Which causes version check to fail, as pytorch repo is bind-mounted into the image
-# Override this behaviour by treating every folder as safe
-# For more details see https://github.com/pytorch/pytorch/issues/78659#issuecomment-1144107327
-RUN git config --global --add safe.directory "*"
-
-ENV SSL_CERT_FILE=/opt/_internal/certs.pem
-# Install LLVM version
-COPY --from=openssl            /opt/openssl                          /opt/openssl
-COPY --from=base               /opt/python                           /opt/python
-COPY --from=base               /opt/_internal                        /opt/_internal
-COPY --from=base               /usr/local/bin/auditwheel             /usr/local/bin/auditwheel
-COPY --from=intel              /opt/intel                            /opt/intel
-COPY --from=base               /usr/local/bin/patchelf               /usr/local/bin/patchelf
-COPY --from=libpng             /usr/local/bin/png*                   /usr/local/bin/
-COPY --from=libpng             /usr/local/bin/libpng*                /usr/local/bin/
-COPY --from=libpng             /usr/local/include/png*               /usr/local/include/
-COPY --from=libpng             /usr/local/include/libpng*            /usr/local/include/
-COPY --from=libpng             /usr/local/lib/libpng*                /usr/local/lib/
-COPY --from=libpng             /usr/local/lib/pkgconfig              /usr/local/lib/pkgconfig
-COPY --from=jni                /usr/local/include/jni.h              /usr/local/include/jni.h
-
-FROM common as cpu_final
-ARG BASE_CUDA_VERSION=11.8
-ARG DEVTOOLSET_VERSION=11
-# Ensure the expected devtoolset is used
-ENV PATH=/opt/rh/gcc-toolset-${DEVTOOLSET_VERSION}/root/usr/bin:$PATH
-ENV LD_LIBRARY_PATH=/opt/rh/gcc-toolset-${DEVTOOLSET_VERSION}/root/usr/lib64:/opt/rh/gcc-toolset-${DEVTOOLSET_VERSION}/root/usr/lib:$LD_LIBRARY_PATH
-
-# cmake-3.18.4 from pip
-RUN yum install -y python3-pip && \
-    python3 -mpip install cmake==3.18.4 && \
-    ln -s /usr/local/bin/cmake /usr/bin/cmake3
-
-FROM cpu_final as cuda_final
-RUN rm -rf /usr/local/cuda-${BASE_CUDA_VERSION}
-COPY --from=cuda     /usr/local/cuda-${BASE_CUDA_VERSION}  /usr/local/cuda-${BASE_CUDA_VERSION}
-COPY --from=magma    /usr/local/cuda-${BASE_CUDA_VERSION}  /usr/local/cuda-${BASE_CUDA_VERSION}
-
-FROM common as rocm_final
-ARG ROCM_VERSION=3.7
-# Install ROCm
-ADD ./common/install_rocm.sh install_rocm.sh
-RUN bash ./install_rocm.sh ${ROCM_VERSION} && rm install_rocm.sh
-# cmake is already installed inside the rocm base image, but both 2 and 3 exist
-# cmake3 is needed for the later MIOpen custom build, so that step is last.
-RUN yum install -y cmake3 && \
-    rm -f /usr/bin/cmake && \
-    ln -s /usr/bin/cmake3 /usr/bin/cmake
-ADD ./common/install_miopen.sh install_miopen.sh
-RUN bash ./install_miopen.sh ${ROCM_VERSION} && rm install_miopen.sh
-
-FROM cpu_final as xpu_final
-# XPU CD use rolling driver
-ENV XPU_DRIVER_TYPE ROLLING
-# cmake-3.28.4 from pip
-RUN python3 -m pip install --upgrade pip && \
-    python3 -mpip install cmake==3.28.4
-# Install setuptools and wheel for python 3.13
-RUN /opt/python/cp313-cp313/bin/python -m pip install setuptools wheel
-ADD ./common/install_xpu.sh install_xpu.sh
-RUN bash ./install_xpu.sh && rm install_xpu.sh
-RUN pushd /opt/_internal && tar -xJf static-libs-for-embedding-only.tar.xz && popd

.ci/docker/manywheel/Dockerfile_2_28_aarch64

@@ -1,57 +0,0 @@
-FROM quay.io/pypa/manylinux_2_28_aarch64 as base
-
-# Graviton needs GCC 10 or above for the build. GCC12 is the default version in almalinux-8.
-ARG GCCTOOLSET_VERSION=11
-
-# Language variabes
-ENV LC_ALL=en_US.UTF-8
-ENV LANG=en_US.UTF-8
-ENV LANGUAGE=en_US.UTF-8
-
-# Installed needed OS packages. This is to support all
-# the binary builds (torch, vision, audio, text, data)
-RUN yum -y install epel-release
-RUN yum -y update
-RUN yum install -y \
-  autoconf \
-  automake \
-  bison \
-  bzip2 \
-  curl \
-  diffutils \
-  file \
-  git \
-  less \
-  libffi-devel \
-  libgomp \
-  make \
-  openssl-devel \
-  patch \
-  perl \
-  unzip \
-  util-linux \
-  wget \
-  which \
-  xz \
-  yasm \
-  zstd \
-  sudo \
-  gcc-toolset-${GCCTOOLSET_VERSION}-toolchain
-
-# Ensure the expected devtoolset is used
-ENV PATH=/opt/rh/gcc-toolset-${GCCTOOLSET_VERSION}/root/usr/bin:$PATH
-ENV LD_LIBRARY_PATH=/opt/rh/gcc-toolset-${GCCTOOLSET_VERSION}/root/usr/lib64:/opt/rh/gcc-toolset-${GCCTOOLSET_VERSION}/root/usr/lib:$LD_LIBRARY_PATH
-
-# git236+ would refuse to run git commands in repos owned by other users
-# Which causes version check to fail, as pytorch repo is bind-mounted into the image
-# Override this behaviour by treating every folder as safe
-# For more details see https://github.com/pytorch/pytorch/issues/78659#issuecomment-1144107327
-RUN git config --global --add safe.directory "*"
-
-FROM base as final
-
-# remove unncessary python versions
-RUN rm -rf /opt/python/cp26-cp26m /opt/_internal/cpython-2.6.9-ucs2
-RUN rm -rf /opt/python/cp26-cp26mu /opt/_internal/cpython-2.6.9-ucs4
-RUN rm -rf /opt/python/cp33-cp33m /opt/_internal/cpython-3.3.6
-RUN rm -rf /opt/python/cp34-cp34m /opt/_internal/cpython-3.4.6

.ci/docker/manywheel/Dockerfile_aarch64

@@ -1,94 +0,0 @@
-FROM quay.io/pypa/manylinux2014_aarch64 as base
-
-
-# Graviton needs GCC 10 for the build
-ARG DEVTOOLSET_VERSION=10
-
-# Language variabes
-ENV LC_ALL=en_US.UTF-8
-ENV LANG=en_US.UTF-8
-ENV LANGUAGE=en_US.UTF-8
-
-# Installed needed OS packages. This is to support all
-# the binary builds (torch, vision, audio, text, data)
-RUN yum -y install epel-release
-RUN yum -y update
-RUN yum install -y \
-  autoconf \
-  automake \
-  bison \
-  bzip2 \
-  curl \
-  diffutils \
-  file \
-  git \
-  make \
-  patch \
-  perl \
-  unzip \
-  util-linux \
-  wget \
-  which \
-  xz \
-  yasm \
-  less \
-  zstd \
-  libgomp \
-  sudo \
-  devtoolset-${DEVTOOLSET_VERSION}-gcc \
-  devtoolset-${DEVTOOLSET_VERSION}-gcc-c++ \
-  devtoolset-${DEVTOOLSET_VERSION}-gcc-gfortran \
-  devtoolset-${DEVTOOLSET_VERSION}-binutils
-
-# Ensure the expected devtoolset is used
-ENV PATH=/opt/rh/devtoolset-${DEVTOOLSET_VERSION}/root/usr/bin:$PATH
-ENV LD_LIBRARY_PATH=/opt/rh/devtoolset-${DEVTOOLSET_VERSION}/root/usr/lib64:/opt/rh/devtoolset-${DEVTOOLSET_VERSION}/root/usr/lib:$LD_LIBRARY_PATH
-
-
-# git236+ would refuse to run git commands in repos owned by other users
-# Which causes version check to fail, as pytorch repo is bind-mounted into the image
-# Override this behaviour by treating every folder as safe
-# For more details see https://github.com/pytorch/pytorch/issues/78659#issuecomment-1144107327
-RUN git config --global --add safe.directory "*"
-
-
-###############################################################################
-# libglfortran.a hack
-#
-# libgfortran.a from quay.io/pypa/manylinux2014_aarch64 is not compiled with -fPIC.
-# This causes __stack_chk_guard@@GLIBC_2.17 on pytorch build. To solve, get
-# ubuntu's libgfortran.a which is compiled with -fPIC
-# NOTE: Need a better way to get this library as Ubuntu's package can be removed by the vender, or changed
-###############################################################################
-RUN cd ~/ \
-  && curl -L -o ~/libgfortran-10-dev.deb http://ports.ubuntu.com/ubuntu-ports/pool/universe/g/gcc-10/libgfortran-10-dev_10.5.0-1ubuntu1_arm64.deb \
-  && ar x ~/libgfortran-10-dev.deb \
-  && tar --use-compress-program=unzstd -xvf data.tar.zst -C ~/ \
-  && cp -f ~/usr/lib/gcc/aarch64-linux-gnu/10/libgfortran.a /opt/rh/devtoolset-10/root/usr/lib/gcc/aarch64-redhat-linux/10/
-
-# install cmake
-RUN yum install -y cmake3 && \
-    ln -s /usr/bin/cmake3 /usr/bin/cmake
-
-FROM base as openssl
-# Install openssl (this must precede `build python` step)
-# (In order to have a proper SSL module, Python is compiled
-# against a recent openssl [see env vars above], which is linked
-# statically. We delete openssl afterwards.)
-ADD ./common/install_openssl.sh install_openssl.sh
-RUN bash ./install_openssl.sh && rm install_openssl.sh
-ENV SSL_CERT_FILE=/opt/_internal/certs.pem
-
-FROM base as openblas
-# Install openblas
-ADD ./common/install_openblas.sh install_openblas.sh
-RUN bash ./install_openblas.sh && rm install_openblas.sh
-
-FROM openssl as final
-# remove unncessary python versions
-RUN rm -rf /opt/python/cp26-cp26m /opt/_internal/cpython-2.6.9-ucs2
-RUN rm -rf /opt/python/cp26-cp26mu /opt/_internal/cpython-2.6.9-ucs4
-RUN rm -rf /opt/python/cp33-cp33m /opt/_internal/cpython-3.3.6
-RUN rm -rf /opt/python/cp34-cp34m /opt/_internal/cpython-3.4.6
-COPY --from=openblas     /opt/OpenBLAS/  /opt/OpenBLAS/
-ENV LD_LIBRARY_PATH=/opt/OpenBLAS/lib:$LD_LIBRARY_PATH

.ci/docker/manywheel/Dockerfile_cuda_aarch64

@@ -1,91 +0,0 @@
-FROM quay.io/pypa/manylinux_2_28_aarch64 as base
-
-# Cuda ARM build needs gcc 11
-ARG DEVTOOLSET_VERSION=11
-
-# Language variables
-ENV LC_ALL=en_US.UTF-8
-ENV LANG=en_US.UTF-8
-ENV LANGUAGE=en_US.UTF-8
-
-# Installed needed OS packages. This is to support all
-# the binary builds (torch, vision, audio, text, data)
-RUN yum -y install epel-release
-RUN yum -y update
-RUN yum install -y \
-  autoconf \
-  automake \
-  bison \
-  bzip2 \
-  curl \
-  diffutils \
-  file \
-  git \
-  make \
-  patch \
-  perl \
-  unzip \
-  util-linux \
-  wget \
-  which \
-  xz \
-  yasm \
-  less \
-  zstd \
-  libgomp \
-  sudo \
-  gcc-toolset-${DEVTOOLSET_VERSION}-toolchain
-
-# Ensure the expected devtoolset is used
-ENV PATH=/opt/rh/gcc-toolset-${DEVTOOLSET_VERSION}/root/usr/bin:$PATH
-ENV LD_LIBRARY_PATH=/opt/rh/gcc-toolset-${DEVTOOLSET_VERSION}/root/usr/lib64:/opt/rh/gcc-toolset-${DEVTOOLSET_VERSION}/root/usr/lib:$LD_LIBRARY_PATH
-
-# git236+ would refuse to run git commands in repos owned by other users
-# Which causes version check to fail, as pytorch repo is bind-mounted into the image
-# Override this behaviour by treating every folder as safe
-# For more details see https://github.com/pytorch/pytorch/issues/78659#issuecomment-1144107327
-RUN git config --global --add safe.directory "*"
-
-
-FROM base as openssl
-# Install openssl (this must precede `build python` step)
-# (In order to have a proper SSL module, Python is compiled
-# against a recent openssl [see env vars above], which is linked
-# statically. We delete openssl afterwards.)
-ADD ./common/install_openssl.sh install_openssl.sh
-RUN bash ./install_openssl.sh && rm install_openssl.sh
-ENV SSL_CERT_FILE=/opt/_internal/certs.pem
-
-FROM openssl as final
-# remove unncessary python versions
-RUN rm -rf /opt/python/cp26-cp26m /opt/_internal/cpython-2.6.9-ucs2
-RUN rm -rf /opt/python/cp26-cp26mu /opt/_internal/cpython-2.6.9-ucs4
-RUN rm -rf /opt/python/cp33-cp33m /opt/_internal/cpython-3.3.6
-RUN rm -rf /opt/python/cp34-cp34m /opt/_internal/cpython-3.4.6
-
-FROM base as cuda
-ARG BASE_CUDA_VERSION
-# Install CUDA
-ADD ./common/install_cuda_aarch64.sh install_cuda_aarch64.sh
-RUN bash ./install_cuda_aarch64.sh ${BASE_CUDA_VERSION} && rm install_cuda_aarch64.sh
-
-FROM base as magma
-ARG BASE_CUDA_VERSION
-# Install magma
-ADD ./common/install_magma.sh install_magma.sh
-RUN bash ./install_magma.sh ${BASE_CUDA_VERSION} && rm install_magma.sh
-
-FROM base as nvpl
-# Install nvpl
-ADD ./common/install_nvpl.sh install_nvpl.sh
-RUN bash ./install_nvpl.sh && rm install_nvpl.sh
-
-FROM final as cuda_final
-ARG BASE_CUDA_VERSION
-RUN rm -rf /usr/local/cuda-${BASE_CUDA_VERSION}
-COPY --from=cuda     /usr/local/cuda-${BASE_CUDA_VERSION}  /usr/local/cuda-${BASE_CUDA_VERSION}
-COPY --from=magma    /usr/local/cuda-${BASE_CUDA_VERSION}  /usr/local/cuda-${BASE_CUDA_VERSION}
-COPY --from=nvpl /opt/nvpl/lib/  /usr/local/lib/
-COPY --from=nvpl /opt/nvpl/include/  /usr/local/include/
-RUN ln -sf /usr/local/cuda-${BASE_CUDA_VERSION} /usr/local/cuda
-ENV PATH=/usr/local/cuda/bin:$PATH

.ci/docker/manywheel/Dockerfile_cxx11-abi

@@ -1,71 +0,0 @@
-FROM centos:8 as base
-
-ENV LC_ALL en_US.UTF-8
-ENV LANG en_US.UTF-8
-ENV LANGUAGE en_US.UTF-8
-ENV PATH /opt/rh/gcc-toolset-11/root/bin/:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
-
-# change to a valid repo
-RUN sed -i 's|#baseurl=http://mirror.centos.org|baseurl=http://vault.centos.org|g' /etc/yum.repos.d/CentOS-Linux-*.repo
-# enable to install ninja-build
-RUN sed -i 's|enabled=0|enabled=1|g' /etc/yum.repos.d/CentOS-Linux-PowerTools.repo
-
-RUN yum -y update
-RUN yum install -y wget curl perl util-linux xz bzip2 git patch which zlib-devel sudo
-RUN yum install -y autoconf automake make cmake gdb gcc-toolset-11-gcc-c++
-
-
-FROM base as openssl
-ADD ./common/install_openssl.sh install_openssl.sh
-RUN bash ./install_openssl.sh && rm install_openssl.sh
-
-# Install python
-FROM base as python
-RUN yum install -y openssl-devel zlib-devel bzip2-devel ncurses-devel sqlite-devel readline-devel tk-devel gdbm-devel libpcap-devel xz-devel libffi-devel
-ADD common/install_cpython.sh install_cpython.sh
-RUN bash ./install_cpython.sh && rm install_cpython.sh
-
-FROM base as conda
-ADD ./common/install_conda_docker.sh install_conda.sh
-RUN bash ./install_conda.sh && rm install_conda.sh
-RUN /opt/conda/bin/conda install -y cmake
-
-FROM base as intel
-# Install MKL
-COPY --from=python             /opt/python                           /opt/python
-COPY --from=python             /opt/_internal                        /opt/_internal
-COPY --from=conda              /opt/conda                            /opt/conda
-ENV PATH=/opt/conda/bin:$PATH
-ADD ./common/install_mkl.sh install_mkl.sh
-RUN bash ./install_mkl.sh && rm install_mkl.sh
-
-FROM base as patchelf
-ADD ./common/install_patchelf.sh install_patchelf.sh
-RUN bash ./install_patchelf.sh && rm install_patchelf.sh
-RUN cp $(which patchelf) /patchelf
-
-FROM base as jni
-ADD ./common/install_jni.sh install_jni.sh
-ADD ./java/jni.h jni.h
-RUN bash ./install_jni.sh && rm install_jni.sh
-
-FROM base as libpng
-ADD ./common/install_libpng.sh install_libpng.sh
-RUN bash ./install_libpng.sh && rm install_libpng.sh
-
-FROM base as final
-COPY --from=openssl            /opt/openssl                          /opt/openssl
-COPY --from=python             /opt/python                           /opt/python
-COPY --from=python             /opt/_internal                        /opt/_internal
-COPY --from=intel              /opt/intel                            /opt/intel
-COPY --from=conda              /opt/conda                            /opt/conda
-COPY --from=patchelf           /usr/local/bin/patchelf               /usr/local/bin/patchelf
-COPY --from=jni                /usr/local/include/jni.h              /usr/local/include/jni.h
-COPY --from=libpng             /usr/local/bin/png*                   /usr/local/bin/
-COPY --from=libpng             /usr/local/bin/libpng*                /usr/local/bin/
-COPY --from=libpng             /usr/local/include/png*               /usr/local/include/
-COPY --from=libpng             /usr/local/include/libpng*            /usr/local/include/
-COPY --from=libpng             /usr/local/lib/libpng*                /usr/local/lib/
-COPY --from=libpng             /usr/local/lib/pkgconfig              /usr/local/lib/pkgconfig
-
-RUN yum install -y ninja-build

.ci/docker/manywheel/Dockerfile_s390x

@@ -1,73 +0,0 @@
-FROM --platform=linux/s390x docker.io/ubuntu:24.04 as base
-
-# Language variables
-ENV LC_ALL=C.UTF-8
-ENV LANG=C.UTF-8
-ENV LANGUAGE=C.UTF-8
-
-# Installed needed OS packages. This is to support all
-# the binary builds (torch, vision, audio, text, data)
-RUN apt update ; apt upgrade -y
-RUN apt install -y \
-  build-essential \
-  autoconf \
-  automake \
-  bzip2 \
-  curl \
-  diffutils \
-  file \
-  git \
-  make \
-  patch \
-  perl \
-  unzip \
-  util-linux \
-  wget \
-  which \
-  xz-utils \
-  less \
-  zstd \
-  cmake \
-  python3 \
-  python3-dev \
-  python3-setuptools \
-  python3-yaml \
-  python3-typing-extensions \
-  libblas-dev \
-  libopenblas-dev \
-  liblapack-dev \
-  libatlas-base-dev
-
-# git236+ would refuse to run git commands in repos owned by other users
-# Which causes version check to fail, as pytorch repo is bind-mounted into the image
-# Override this behaviour by treating every folder as safe
-# For more details see https://github.com/pytorch/pytorch/issues/78659#issuecomment-1144107327
-RUN git config --global --add safe.directory "*"
-
-FROM base as openssl
-# Install openssl (this must precede `build python` step)
-# (In order to have a proper SSL module, Python is compiled
-# against a recent openssl [see env vars above], which is linked
-# statically. We delete openssl afterwards.)
-ADD ./common/install_openssl.sh install_openssl.sh
-RUN bash ./install_openssl.sh && rm install_openssl.sh
-ENV SSL_CERT_FILE=/opt/_internal/certs.pem
-
-# EPEL for cmake
-FROM base as patchelf
-# Install patchelf
-ADD ./common/install_patchelf.sh install_patchelf.sh
-RUN bash ./install_patchelf.sh && rm install_patchelf.sh
-RUN cp $(which patchelf) /patchelf
-
-FROM patchelf as python
-# build python
-COPY manywheel/build_scripts /build_scripts
-ADD ./common/install_cpython.sh /build_scripts/install_cpython.sh
-RUN bash build_scripts/build.sh && rm -r build_scripts
-
-FROM openssl as final
-COPY --from=python             /opt/python                           /opt/python
-COPY --from=python             /opt/_internal                        /opt/_internal
-COPY --from=python             /opt/python/cp39-cp39/bin/auditwheel /usr/local/bin/auditwheel
-COPY --from=patchelf           /usr/local/bin/patchelf               /usr/local/bin/patchelf

.ci/docker/manywheel/build.sh

@@ -1,161 +0,0 @@
-#!/usr/bin/env bash
-# Script used only in CD pipeline
-
-set -eou pipefail
-
-TOPDIR=$(git rev-parse --show-toplevel)
-
-image="$1"
-shift
-
-if [ -z "${image}" ]; then
-  echo "Usage: $0 IMAGE"
-  exit 1
-fi
-
-DOCKER_IMAGE="pytorch/${image}"
-
-DOCKER_REGISTRY="${DOCKER_REGISTRY:-docker.io}"
-
-GPU_ARCH_TYPE=${GPU_ARCH_TYPE:-cpu}
-GPU_ARCH_VERSION=${GPU_ARCH_VERSION:-}
-MANY_LINUX_VERSION=${MANY_LINUX_VERSION:-}
-DOCKERFILE_SUFFIX=${DOCKERFILE_SUFFIX:-}
-WITH_PUSH=${WITH_PUSH:-}
-
-case ${GPU_ARCH_TYPE} in
-    cpu)
-        TARGET=cpu_final
-        DOCKER_TAG=cpu
-        GPU_IMAGE=centos:7
-        DOCKER_GPU_BUILD_ARG=" --build-arg DEVTOOLSET_VERSION=9"
-        ;;
-    cpu-manylinux_2_28)
-        TARGET=cpu_final
-        DOCKER_TAG=cpu
-        GPU_IMAGE=amd64/almalinux:8
-        DOCKER_GPU_BUILD_ARG=" --build-arg DEVTOOLSET_VERSION=11"
-        MANY_LINUX_VERSION="2_28"
-        ;;
-    cpu-aarch64)
-        TARGET=final
-        DOCKER_TAG=cpu-aarch64
-        GPU_IMAGE=arm64v8/centos:7
-        DOCKER_GPU_BUILD_ARG=" --build-arg DEVTOOLSET_VERSION=10"
-        MANY_LINUX_VERSION="aarch64"
-        ;;
-    cpu-aarch64-2_28)
-        TARGET=final
-        DOCKER_TAG=cpu-aarch64
-        GPU_IMAGE=arm64v8/almalinux:8
-        DOCKER_GPU_BUILD_ARG=" --build-arg DEVTOOLSET_VERSION=11"
-        MANY_LINUX_VERSION="2_28_aarch64"
-        ;;
-    cpu-cxx11-abi)
-        TARGET=final
-        DOCKER_TAG=cpu-cxx11-abi
-        GPU_IMAGE=""
-        DOCKER_GPU_BUILD_ARG=" --build-arg DEVTOOLSET_VERSION=9"
-        MANY_LINUX_VERSION="cxx11-abi"
-        ;;
-    cpu-s390x)
-        TARGET=final
-        DOCKER_TAG=cpu-s390x
-        GPU_IMAGE=redhat/ubi9
-        DOCKER_GPU_BUILD_ARG=""
-        MANY_LINUX_VERSION="s390x"
-        ;;
-    cuda)
-        TARGET=cuda_final
-        DOCKER_TAG=cuda${GPU_ARCH_VERSION}
-        # Keep this up to date with the minimum version of CUDA we currently support
-        GPU_IMAGE=centos:7
-        DOCKER_GPU_BUILD_ARG="--build-arg BASE_CUDA_VERSION=${GPU_ARCH_VERSION} --build-arg DEVTOOLSET_VERSION=9"
-        ;;
-    cuda-manylinux_2_28)
-        TARGET=cuda_final
-        DOCKER_TAG=cuda${GPU_ARCH_VERSION}
-        GPU_IMAGE=amd64/almalinux:8
-        DOCKER_GPU_BUILD_ARG="--build-arg BASE_CUDA_VERSION=${GPU_ARCH_VERSION} --build-arg DEVTOOLSET_VERSION=11"
-        MANY_LINUX_VERSION="2_28"
-        ;;
-    cuda-aarch64)
-        TARGET=cuda_final
-        DOCKER_TAG=cuda${GPU_ARCH_VERSION}
-        GPU_IMAGE=arm64v8/centos:7
-        DOCKER_GPU_BUILD_ARG="--build-arg BASE_CUDA_VERSION=${GPU_ARCH_VERSION} --build-arg DEVTOOLSET_VERSION=11"
-        MANY_LINUX_VERSION="aarch64"
-        DOCKERFILE_SUFFIX="_cuda_aarch64"
-        ;;
-    rocm)
-        TARGET=rocm_final
-        DOCKER_TAG=rocm${GPU_ARCH_VERSION}
-        GPU_IMAGE=rocm/dev-centos-7:${GPU_ARCH_VERSION}-complete
-        PYTORCH_ROCM_ARCH="gfx900;gfx906;gfx908;gfx90a;gfx1030;gfx1100"
-        ROCM_REGEX="([0-9]+)\.([0-9]+)[\.]?([0-9]*)"
-        if [[ $GPU_ARCH_VERSION =~ $ROCM_REGEX ]]; then
-            ROCM_VERSION_INT=$((${BASH_REMATCH[1]}*10000 + ${BASH_REMATCH[2]}*100 + ${BASH_REMATCH[3]:-0}))
-        else
-            echo "ERROR: rocm regex failed"
-            exit 1
-        fi
-        if [[ $ROCM_VERSION_INT -ge 60000 ]]; then
-            PYTORCH_ROCM_ARCH+=";gfx942"
-        fi
-        DOCKER_GPU_BUILD_ARG="--build-arg ROCM_VERSION=${GPU_ARCH_VERSION} --build-arg PYTORCH_ROCM_ARCH=${PYTORCH_ROCM_ARCH} --build-arg DEVTOOLSET_VERSION=9"
-        ;;
-    xpu)
-        TARGET=xpu_final
-        DOCKER_TAG=xpu
-        GPU_IMAGE=amd64/almalinux:8
-        DOCKER_GPU_BUILD_ARG=" --build-arg DEVTOOLSET_VERSION=11"
-        MANY_LINUX_VERSION="2_28"
-        ;;
-    *)
-        echo "ERROR: Unrecognized GPU_ARCH_TYPE: ${GPU_ARCH_TYPE}"
-        exit 1
-        ;;
-esac
-
-IMAGES=''
-
-if [[ -n ${MANY_LINUX_VERSION} && -z ${DOCKERFILE_SUFFIX} ]]; then
-    DOCKERFILE_SUFFIX=_${MANY_LINUX_VERSION}
-fi
-(
-    set -x
-
-    # TODO: Remove LimitNOFILE=1048576 patch once https://github.com/pytorch/test-infra/issues/5712
-    # is resolved. This patch is required in order to fix timing out of Docker build on Amazon Linux 2023.
-    sudo sed -i s/LimitNOFILE=infinity/LimitNOFILE=1048576/ /usr/lib/systemd/system/docker.service
-    sudo systemctl daemon-reload
-    sudo systemctl restart docker
-
-    DOCKER_BUILDKIT=1 docker build  \
-        ${DOCKER_GPU_BUILD_ARG} \
-        --build-arg "GPU_IMAGE=${GPU_IMAGE}" \
-        --target "${TARGET}" \
-        -t "${DOCKER_IMAGE}" \
-        $@ \
-        -f "${TOPDIR}/.ci/docker/manywheel/Dockerfile${DOCKERFILE_SUFFIX}" \
-        "${TOPDIR}/.ci/docker/"
-)
-
-GITHUB_REF=${GITHUB_REF:-$(git symbolic-ref -q HEAD || git describe --tags --exact-match)}
-GIT_BRANCH_NAME=${GITHUB_REF##*/}
-GIT_COMMIT_SHA=${GITHUB_SHA:-$(git rev-parse HEAD)}
-DOCKER_IMAGE_BRANCH_TAG=${DOCKER_IMAGE}-${GIT_BRANCH_NAME}
-DOCKER_IMAGE_SHA_TAG=${DOCKER_IMAGE}-${GIT_COMMIT_SHA}
-
-if [[ "${WITH_PUSH}" == true ]]; then
-    (
-        set -x
-        docker push "${DOCKER_IMAGE}"
-        if [[ -n ${GITHUB_REF} ]]; then
-            docker tag ${DOCKER_IMAGE} ${DOCKER_IMAGE_BRANCH_TAG}
-            docker tag ${DOCKER_IMAGE} ${DOCKER_IMAGE_SHA_TAG}
-            docker push "${DOCKER_IMAGE_BRANCH_TAG}"
-            docker push "${DOCKER_IMAGE_SHA_TAG}"
-        fi
-    )
-fi

.ci/docker/manywheel/build_scripts/build.sh

@@ -1,131 +0,0 @@
-#!/bin/bash
-# Top-level build script called from Dockerfile
-# Script used only in CD pipeline
-
-# Stop at any error, show all commands
-set -ex
-
-# openssl version to build, with expected sha256 hash of .tar.gz
-# archive
-OPENSSL_ROOT=openssl-1.1.1l
-OPENSSL_HASH=0b7a3e5e59c34827fe0c3a74b7ec8baef302b98fa80088d7f9153aa16fa76bd1
-DEVTOOLS_HASH=a8ebeb4bed624700f727179e6ef771dafe47651131a00a78b342251415646acc
-PATCHELF_HASH=d9afdff4baeacfbc64861454f368b7f2c15c44d245293f7587bbf726bfe722fb
-CURL_ROOT=curl-7.73.0
-CURL_HASH=cf34fe0b07b800f1c01a499a6e8b2af548f6d0e044dca4a29d88a4bee146d131
-AUTOCONF_ROOT=autoconf-2.69
-AUTOCONF_HASH=954bd69b391edc12d6a4a51a2dd1476543da5c6bbf05a95b59dc0dd6fd4c2969
-
-# Get build utilities
-MY_DIR=$(dirname "${BASH_SOURCE[0]}")
-source $MY_DIR/build_utils.sh
-
-if [ "$(uname -m)" != "s390x" ] ; then
-    # Dependencies for compiling Python that we want to remove from
-    # the final image after compiling Python
-    PYTHON_COMPILE_DEPS="zlib-devel bzip2-devel ncurses-devel sqlite-devel readline-devel tk-devel gdbm-devel db4-devel libpcap-devel xz-devel libffi-devel"
-
-    # Libraries that are allowed as part of the manylinux1 profile
-    MANYLINUX1_DEPS="glibc-devel libstdc++-devel glib2-devel libX11-devel libXext-devel libXrender-devel  mesa-libGL-devel libICE-devel libSM-devel ncurses-devel"
-
-    # Development tools and libraries
-    yum -y install bzip2 make git patch unzip bison yasm diffutils \
-        automake which file cmake28 \
-        kernel-devel-`uname -r` \
-        ${PYTHON_COMPILE_DEPS}
-else
-    # Dependencies for compiling Python that we want to remove from
-    # the final image after compiling Python
-    PYTHON_COMPILE_DEPS="zlib1g-dev libbz2-dev libncurses-dev libsqlite3-dev libdb-dev libpcap-dev liblzma-dev libffi-dev"
-
-    # Libraries that are allowed as part of the manylinux1 profile
-    MANYLINUX1_DEPS="libglib2.0-dev libX11-dev libncurses-dev"
-
-    # Development tools and libraries
-    apt install -y bzip2 make git patch unzip diffutils \
-        automake which file cmake \
-        linux-headers-virtual \
-        ${PYTHON_COMPILE_DEPS}
-fi
-
-# Install newest autoconf
-build_autoconf $AUTOCONF_ROOT $AUTOCONF_HASH
-autoconf --version
-
-# Compile the latest Python releases.
-# (In order to have a proper SSL module, Python is compiled
-# against a recent openssl [see env vars above], which is linked
-# statically. We delete openssl afterwards.)
-build_openssl $OPENSSL_ROOT $OPENSSL_HASH
-/build_scripts/install_cpython.sh
-
-PY39_BIN=/opt/python/cp39-cp39/bin
-
-# Our openssl doesn't know how to find the system CA trust store
-#   (https://github.com/pypa/manylinux/issues/53)
-# And it's not clear how up-to-date that is anyway
-# So let's just use the same one pip and everyone uses
-$PY39_BIN/pip install certifi
-ln -s $($PY39_BIN/python -c 'import certifi; print(certifi.where())') \
-      /opt/_internal/certs.pem
-# If you modify this line you also have to modify the versions in the
-# Dockerfiles:
-export SSL_CERT_FILE=/opt/_internal/certs.pem
-
-# Install newest curl
-build_curl $CURL_ROOT $CURL_HASH
-rm -rf /usr/local/include/curl /usr/local/lib/libcurl* /usr/local/lib/pkgconfig/libcurl.pc
-hash -r
-curl --version
-curl-config --features
-
-# Install patchelf (latest with unreleased bug fixes)
-curl -sLOk https://nixos.org/releases/patchelf/patchelf-0.10/patchelf-0.10.tar.gz
-# check_sha256sum patchelf-0.9njs2.tar.gz $PATCHELF_HASH
-tar -xzf patchelf-0.10.tar.gz
-(cd patchelf-0.10 && ./configure && make && make install)
-rm -rf patchelf-0.10.tar.gz patchelf-0.10
-
-# Install latest pypi release of auditwheel
-$PY39_BIN/pip install auditwheel
-ln -s $PY39_BIN/auditwheel /usr/local/bin/auditwheel
-
-# Clean up development headers and other unnecessary stuff for
-# final image
-if [ "$(uname -m)" != "s390x" ] ; then
-    yum -y erase wireless-tools gtk2 libX11 hicolor-icon-theme \
-        avahi freetype bitstream-vera-fonts \
-        ${PYTHON_COMPILE_DEPS} || true > /dev/null 2>&1
-    yum -y install ${MANYLINUX1_DEPS}
-    yum -y clean all > /dev/null 2>&1
-    yum list installed
-else
-    apt purge -y ${PYTHON_COMPILE_DEPS} || true > /dev/null 2>&1
-fi
-# we don't need libpython*.a, and they're many megabytes
-find /opt/_internal -name '*.a' -print0 | xargs -0 rm -f
-# Strip what we can -- and ignore errors, because this just attempts to strip
-# *everything*, including non-ELF files:
-find /opt/_internal -type f -print0 \
-    | xargs -0 -n1 strip --strip-unneeded 2>/dev/null || true
-# We do not need the Python test suites, or indeed the precompiled .pyc and
-# .pyo files. Partially cribbed from:
-#    https://github.com/docker-library/python/blob/master/3.4/slim/Dockerfile
-find /opt/_internal \
-     \( -type d -a -name test -o -name tests \) \
-  -o \( -type f -a -name '*.pyc' -o -name '*.pyo' \) \
-  -print0 | xargs -0 rm -f
-
-for PYTHON in /opt/python/*/bin/python; do
-    # Smoke test to make sure that our Pythons work, and do indeed detect as
-    # being manylinux compatible:
-    $PYTHON $MY_DIR/manylinux1-check.py
-    # Make sure that SSL cert checking works
-    $PYTHON $MY_DIR/ssl-check.py
-done
-
-# Fix libc headers to remain compatible with C99 compilers.
-find /usr/include/ -type f -exec sed -i 's/\bextern _*inline_*\b/extern __inline __attribute__ ((__gnu_inline__))/g' {} +
-
-# Now we can delete our built SSL
-rm -rf /usr/local/ssl

.ci/docker/manywheel/build_scripts/build_utils.sh

@@ -1,91 +0,0 @@
-#!/bin/bash
-# Helper utilities for build
-# Script used only in CD pipeline
-
-OPENSSL_DOWNLOAD_URL=https://www.openssl.org/source/old/1.1.1/
-CURL_DOWNLOAD_URL=https://curl.askapache.com/download
-
-AUTOCONF_DOWNLOAD_URL=https://ftp.gnu.org/gnu/autoconf
-
-
-function check_var {
-    if [ -z "$1" ]; then
-        echo "required variable not defined"
-        exit 1
-    fi
-}
-
-
-function do_openssl_build {
-    ./config no-ssl2 no-shared -fPIC --prefix=/usr/local/ssl > /dev/null
-    make > /dev/null
-    make install > /dev/null
-}
-
-
-function check_sha256sum {
-    local fname=$1
-    check_var ${fname}
-    local sha256=$2
-    check_var ${sha256}
-
-    echo "${sha256}  ${fname}" > ${fname}.sha256
-    sha256sum -c ${fname}.sha256
-    rm -f ${fname}.sha256
-}
-
-
-function build_openssl {
-    local openssl_fname=$1
-    check_var ${openssl_fname}
-    local openssl_sha256=$2
-    check_var ${openssl_sha256}
-    check_var ${OPENSSL_DOWNLOAD_URL}
-    curl -sLO ${OPENSSL_DOWNLOAD_URL}/${openssl_fname}.tar.gz
-    check_sha256sum ${openssl_fname}.tar.gz ${openssl_sha256}
-    tar -xzf ${openssl_fname}.tar.gz
-    (cd ${openssl_fname} && do_openssl_build)
-    rm -rf ${openssl_fname} ${openssl_fname}.tar.gz
-}
-
-
-function do_curl_build {
-    LIBS=-ldl ./configure --with-ssl --disable-shared > /dev/null
-    make > /dev/null
-    make install > /dev/null
-}
-
-
-function build_curl {
-    local curl_fname=$1
-    check_var ${curl_fname}
-    local curl_sha256=$2
-    check_var ${curl_sha256}
-    check_var ${CURL_DOWNLOAD_URL}
-    curl -sLO ${CURL_DOWNLOAD_URL}/${curl_fname}.tar.bz2
-    check_sha256sum ${curl_fname}.tar.bz2 ${curl_sha256}
-    tar -jxf ${curl_fname}.tar.bz2
-    (cd ${curl_fname} && do_curl_build)
-    rm -rf ${curl_fname} ${curl_fname}.tar.bz2
-}
-
-
-function do_standard_install {
-    ./configure > /dev/null
-    make > /dev/null
-    make install > /dev/null
-}
-
-
-function build_autoconf {
-    local autoconf_fname=$1
-    check_var ${autoconf_fname}
-    local autoconf_sha256=$2
-    check_var ${autoconf_sha256}
-    check_var ${AUTOCONF_DOWNLOAD_URL}
-    curl -sLO ${AUTOCONF_DOWNLOAD_URL}/${autoconf_fname}.tar.gz
-    check_sha256sum ${autoconf_fname}.tar.gz ${autoconf_sha256}
-    tar -zxf ${autoconf_fname}.tar.gz
-    (cd ${autoconf_fname} && do_standard_install)
-    rm -rf ${autoconf_fname} ${autoconf_fname}.tar.gz
-}

.ci/docker/manywheel/build_scripts/manylinux1-check.py

@@ -1,60 +0,0 @@
-# Logic copied from PEP 513
-
-
-def is_manylinux1_compatible():
-    # Only Linux, and only x86-64 / i686
-    from distutils.util import get_platform
-
-    if get_platform() not in ["linux-x86_64", "linux-i686", "linux-s390x"]:
-        return False
-
-    # Check for presence of _manylinux module
-    try:
-        import _manylinux
-
-        return bool(_manylinux.manylinux1_compatible)
-    except (ImportError, AttributeError):
-        # Fall through to heuristic check below
-        pass
-
-    # Check glibc version. CentOS 5 uses glibc 2.5.
-    return have_compatible_glibc(2, 5)
-
-
-def have_compatible_glibc(major, minimum_minor):
-    import ctypes
-
-    process_namespace = ctypes.CDLL(None)
-    try:
-        gnu_get_libc_version = process_namespace.gnu_get_libc_version
-    except AttributeError:
-        # Symbol doesn't exist -> therefore, we are not linked to
-        # glibc.
-        return False
-
-    # Call gnu_get_libc_version, which returns a string like "2.5".
-    gnu_get_libc_version.restype = ctypes.c_char_p
-    version_str = gnu_get_libc_version()
-    # py2 / py3 compatibility:
-    if not isinstance(version_str, str):
-        version_str = version_str.decode("ascii")
-
-    # Parse string and check against requested version.
-    version = [int(piece) for piece in version_str.split(".")]
-    assert len(version) == 2
-    if major != version[0]:
-        return False
-    if minimum_minor > version[1]:
-        return False
-    return True
-
-
-import sys
-
-
-if is_manylinux1_compatible():
-    print(f"{sys.executable} is manylinux1 compatible")
-    sys.exit(0)
-else:
-    print(f"{sys.executable} is NOT manylinux1 compatible")
-    sys.exit(1)

.ci/docker/manywheel/build_scripts/ssl-check.py

@@ -1,35 +0,0 @@
-# cf. https://github.com/pypa/manylinux/issues/53
-
-GOOD_SSL = "https://google.com"
-BAD_SSL = "https://self-signed.badssl.com"
-
-import sys
-
-
-print("Testing SSL certificate checking for Python:", sys.version)
-
-if sys.version_info[:2] < (2, 7) or sys.version_info[:2] < (3, 4):
-    print("This version never checks SSL certs; skipping tests")
-    sys.exit(0)
-
-if sys.version_info[0] >= 3:
-    from urllib.request import urlopen
-
-    EXC = OSError
-else:
-    from urllib import urlopen
-
-    EXC = IOError
-
-print(f"Connecting to {GOOD_SSL} should work")
-urlopen(GOOD_SSL)
-print("...it did, yay.")
-
-print(f"Connecting to {BAD_SSL} should fail")
-try:
-    urlopen(BAD_SSL)
-    # If we get here then we failed:
-    print("...it DIDN'T!!!!!11!!1one!")
-    sys.exit(1)
-except EXC:
-    print("...it did, yay.")

.ci/docker/requirements-ci.txt

@@ -1,344 +0,0 @@
-# Python dependencies required for unit tests
-
-#awscli==1.6 #this breaks some platforms
-#Description: AWS command line interface
-#Pinned versions: 1.6
-#test that import:
-
-boto3==1.19.12
-#Description: AWS SDK for python
-#Pinned versions: 1.19.12, 1.16.34
-#test that import:
-
-click
-#Description: Command Line Interface Creation Kit
-#Pinned versions:
-#test that import:
-
-coremltools==5.0b5 ; python_version < "3.12"
-#Description: Apple framework for ML integration
-#Pinned versions: 5.0b5
-#test that import:
-
-#dataclasses #this breaks some platforms
-#Description: Provides decorators for auto adding special methods to user classes
-#Pinned versions:
-#test that import:
-
-dill==0.3.7
-#Description: dill extends pickle with serializing and de-serializing for most built-ins
-#Pinned versions: 0.3.7
-#test that import: dynamo/test_replay_record.py test_dataloader.py test_datapipe.py test_serialization.py
-
-expecttest==0.2.1
-#Description: method for writing tests where test framework auto populates
-# the expected output based on previous runs
-#Pinned versions: 0.2.1
-#test that import:
-
-fbscribelogger==0.1.6
-#Description: write to scribe from authenticated jobs on CI
-#Pinned versions: 0.1.6
-#test that import:
-
-flatbuffers==2.0
-#Description: cross platform serialization library
-#Pinned versions: 2.0
-#test that import:
-
-hypothesis==5.35.1
-# Pin hypothesis to avoid flakiness: https://github.com/pytorch/pytorch/issues/31136
-#Description: advanced library for generating parametrized tests
-#Pinned versions: 3.44.6, 4.53.2
-#test that import: test_xnnpack_integration.py, test_pruning_op.py, test_nn.py
-
-junitparser==2.1.1
-#Description: unitparser handles JUnit/xUnit Result XML files
-#Pinned versions: 2.1.1
-#test that import:
-
-lark==0.12.0
-#Description: parser
-#Pinned versions: 0.12.0
-#test that import:
-
-librosa>=0.6.2 ; python_version < "3.11"
-#Description: A python package for music and audio analysis
-#Pinned versions: >=0.6.2
-#test that import: test_spectral_ops.py
-
-#mkl #this breaks linux-bionic-rocm4.5-py3.7
-#Description: Intel oneAPI Math Kernel Library
-#Pinned versions:
-#test that import: test_profiler.py, test_public_bindings.py, test_testing.py,
-#test_nn.py, test_mkldnn.py, test_jit.py, test_fx_experimental.py,
-#test_autograd.py
-
-#mkl-devel
-# see mkl
-
-#mock
-#Description: A testing library that allows you to replace parts of your
-#system under test with mock objects
-#Pinned versions:
-#test that import: test_modules.py, test_nn.py,
-#test_testing.py
-
-#MonkeyType # breaks pytorch-xla-linux-bionic-py3.7-clang8
-#Description: collects runtime types of function arguments and return
-#values, and can automatically generate stub files
-#Pinned versions:
-#test that import:
-
-mypy==1.11.2
-# Pin MyPy version because new errors are likely to appear with each release
-#Description: linter
-#Pinned versions: 1.10.0
-#test that import: test_typing.py, test_type_hints.py
-
-networkx==2.8.8
-#Description: creation, manipulation, and study of
-#the structure, dynamics, and functions of complex networks
-#Pinned versions: 2.8.8
-#test that import: functorch
-
-#ninja
-#Description: build system.  Note that it install from
-#here breaks things so it is commented out
-#Pinned versions: 1.10.0.post1
-#test that import: run_test.py, test_cpp_extensions_aot.py,test_determination.py
-
-numba==0.49.0 ; python_version < "3.9"
-numba==0.55.2 ; python_version == "3.9"
-numba==0.55.2 ; python_version == "3.10"
-#Description: Just-In-Time Compiler for Numerical Functions
-#Pinned versions: 0.54.1, 0.49.0, <=0.49.1
-#test that import: test_numba_integration.py
-#For numba issue see https://github.com/pytorch/pytorch/issues/51511
-
-#numpy
-#Description: Provides N-dimensional arrays and linear algebra
-#Pinned versions: 1.20
-#test that import: test_view_ops.py, test_unary_ufuncs.py, test_type_promotion.py,
-#test_type_info.py, test_torch.py, test_tensorexpr_pybind.py, test_tensorexpr.py,
-#test_tensorboard.py, test_tensor_creation_ops.py, test_static_runtime.py,
-#test_spectral_ops.py, test_sort_and_select.py, test_shape_ops.py,
-#test_segment_reductions.py, test_reductions.py, test_pruning_op.py,
-#test_overrides.py, test_numpy_interop.py, test_numba_integration.py
-#test_nn.py, test_namedtensor.py, test_linalg.py, test_jit_cuda_fuser.py,
-#test_jit.py, test_indexing.py, test_datapipe.py, test_dataloader.py,
-#test_binary_ufuncs.py
-
-#onnxruntime
-#Description: scoring engine for Open Neural Network Exchange (ONNX) models
-#Pinned versions: 1.9.0
-#test that import:
-
-opt-einsum==3.3
-#Description: Python library to optimize tensor contraction order, used in einsum
-#Pinned versions: 3.3
-#test that import: test_linalg.py
-
-optree==0.12.1
-#Description: A library for tree manipulation
-#Pinned versions: 0.12.1
-#test that import: test_vmap.py, test_aotdispatch.py, test_dynamic_shapes.py,
-#test_pytree.py, test_ops.py, test_control_flow.py, test_modules.py,
-#common_utils.py, test_eager_transforms.py, test_python_dispatch.py,
-#test_expanded_weights.py, test_decomp.py, test_overrides.py, test_masked.py,
-#test_ops.py, test_prims.py, test_subclass.py, test_functionalization.py,
-#test_schema_check.py, test_profiler_tree.py, test_meta.py, test_torchxla_num_output.py,
-#test_utils.py, test_proxy_tensor.py, test_memory_profiler.py, test_view_ops.py,
-#test_pointwise_ops.py, test_dtensor_ops.py, test_torchinductor.py, test_fx.py,
-#test_fake_tensor.py, test_mps.py
-
-pillow==10.3.0
-#Description:  Python Imaging Library fork
-#Pinned versions: 10.3.0
-#test that import:
-
-protobuf==3.20.2
-#Description:  Google’s data interchange format
-#Pinned versions: 3.20.1
-#test that import: test_tensorboard.py
-
-psutil
-#Description: information on running processes and system utilization
-#Pinned versions:
-#test that import: test_profiler.py, test_openmp.py, test_dataloader.py
-
-pytest==7.3.2
-#Description: testing framework
-#Pinned versions:
-#test that import: test_typing.py, test_cpp_extensions_aot.py, run_test.py
-
-pytest-xdist==3.3.1
-#Description: plugin for running pytest in parallel
-#Pinned versions:
-#test that import:
-
-pytest-flakefinder==1.1.0
-#Description: plugin for rerunning tests a fixed number of times in pytest
-#Pinned versions: 1.1.0
-#test that import:
-
-pytest-rerunfailures>=10.3
-#Description: plugin for rerunning failure tests in pytest
-#Pinned versions:
-#test that import:
-
-#pytest-benchmark
-#Description: fixture for benchmarking code
-#Pinned versions: 3.2.3
-#test that import:
-
-#pytest-sugar
-#Description: shows failures and errors instantly
-#Pinned versions:
-#test that import:
-
-xdoctest==1.1.0
-#Description: runs doctests in pytest
-#Pinned versions: 1.1.0
-#test that import:
-
-pygments==2.15.0
-#Description: support doctest highlighting
-#Pinned versions: 2.12.0
-#test that import: the doctests
-
-#PyYAML
-#Description: data serialization format
-#Pinned versions:
-#test that import:
-
-#requests
-#Description: HTTP library
-#Pinned versions:
-#test that import: test_type_promotion.py
-
-#rich
-#Description: rich text and beautiful formatting in the terminal
-#Pinned versions: 10.9.0
-#test that import:
-
-scikit-image==0.19.3 ; python_version < "3.10"
-scikit-image==0.22.0 ; python_version >= "3.10"
-#Description: image processing routines
-#Pinned versions:
-#test that import: test_nn.py
-
-#scikit-learn
-#Description: machine learning package
-#Pinned versions: 0.20.3
-#test that import:
-
-scipy==1.10.1 ; python_version <= "3.11"
-scipy==1.12.0 ; python_version == "3.12"
-# Pin SciPy because of failing distribution tests (see #60347)
-#Description: scientific python
-#Pinned versions: 1.10.1
-#test that import: test_unary_ufuncs.py, test_torch.py,test_tensor_creation_ops.py
-#test_spectral_ops.py, test_sparse_csr.py, test_reductions.py,test_nn.py
-#test_linalg.py, test_binary_ufuncs.py
-
-#tabulate
-#Description: Pretty-print tabular data
-#Pinned versions:
-#test that import:
-
-tb-nightly==2.13.0a20230426
-#Description: TensorBoard
-#Pinned versions:
-#test that import:
-
-# needed by torchgen utils
-typing-extensions
-#Description: type hints for python
-#Pinned versions:
-#test that import:
-
-#virtualenv
-#Description: virtual environment for python
-#Pinned versions:
-#test that import:
-
-unittest-xml-reporting<=3.2.0,>=2.0.0
-#Description: saves unit test results to xml
-#Pinned versions:
-#test that import:
-
-#lintrunner is supported on aarch64-linux only from 0.12.4 version
-lintrunner==0.12.5
-#Description: all about linters!
-#Pinned versions: 0.12.5
-#test that import:
-
-redis>=4.0.0
-#Description: redis database
-#test that import: anything that tests OSS caching/mocking (inductor/test_codecache.py, inductor/test_max_autotune.py)
-
-rockset==1.0.3
-#Description: queries Rockset
-#Pinned versions: 1.0.3
-#test that import:
-
-ghstack==0.8.0
-#Description: ghstack tool
-#Pinned versions: 0.8.0
-#test that import:
-
-jinja2==3.1.4
-#Description: jinja2 template engine
-#Pinned versions: 3.1.4
-#test that import:
-
-pytest-cpp==2.3.0
-#Description: This is used by pytest to invoke C++ tests
-#Pinned versions: 2.3.0
-#test that import:
-
-z3-solver==4.12.2.0
-#Description: The Z3 Theorem Prover Project
-#Pinned versions:
-#test that import:
-
-tensorboard==2.13.0
-#Description: Also included in .ci/docker/requirements-docs.txt
-#Pinned versions:
-#test that import: test_tensorboard
-
-pywavelets==1.4.1 ; python_version < "3.12"
-pywavelets==1.5.0 ; python_version >= "3.12"
-#Description: This is a requirement of scikit-image, we need to pin
-# it here because 1.5.0 conflicts with numpy 1.21.2 used in CI
-#Pinned versions: 1.4.1
-#test that import:
-
-lxml==5.0.0
-#Description: This is a requirement of unittest-xml-reporting
-
-# Python-3.9 binaries
-
-PyGithub==2.3.0
-
-sympy==1.12.1 ; python_version == "3.8"
-sympy==1.13.1 ; python_version >= "3.9"
-#Description: Required by coremltools, also pinned in .github/requirements/pip-requirements-macOS.txt
-#Pinned versions:
-#test that import:
-
-onnx==1.16.1
-#Description: Required by mypy and test_public_bindings.py when checking torch.onnx._internal
-#Pinned versions:
-#test that import:
-
-onnxscript==0.1.0.dev20240817
-#Description: Required by mypy and test_public_bindings.py when checking torch.onnx._internal
-#Pinned versions:
-#test that import:
-
-parameterized==0.8.1
-#Description: Parameterizes unittests, both the tests themselves and the entire testing class
-#Pinned versions:
-#test that import:

.ci/docker/requirements-docs.txt

@@ -1,49 +0,0 @@
-sphinx==5.3.0
-#Description: This is used to generate PyTorch docs
-#Pinned versions: 5.3.0
--e git+https://github.com/pytorch/pytorch_sphinx_theme.git#egg=pytorch_sphinx_theme
-
-# TODO: sphinxcontrib.katex 0.9.0 adds a local KaTeX server to speed up pre-rendering
-# but it doesn't seem to work and hangs around idly. The initial thought is probably
-# something related to Docker setup. We can investigate this later
-sphinxcontrib.katex==0.8.6
-#Description: This is used to generate PyTorch docs
-#Pinned versions: 0.8.6
-
-matplotlib==3.5.3
-#Description: This is used to generate PyTorch docs
-#Pinned versions: 3.5.3
-
-tensorboard==2.13.0
-#Description: This is used to generate PyTorch docs
-#Pinned versions: 2.13.0
-
-breathe==4.34.0
-#Description: This is used to generate PyTorch C++ docs
-#Pinned versions: 4.34.0
-
-exhale==0.2.3
-#Description: This is used to generate PyTorch C++ docs
-#Pinned versions: 0.2.3
-
-docutils==0.16
-#Description: This is used to generate PyTorch C++ docs
-#Pinned versions: 0.16
-
-bs4==0.0.1
-#Description: This is used to generate PyTorch C++ docs
-#Pinned versions: 0.0.1
-
-IPython==8.12.0
-#Description: This is used to generate PyTorch functorch docs
-#Pinned versions: 8.12.0
-
-myst-nb==0.17.2
-#Description: This is used to generate PyTorch functorch docs
-#Pinned versions: 0.13.2
-
-# The following are required to build torch.distributed.elastic.rendezvous.etcd* docs
-python-etcd==0.4.5
-sphinx-copybutton==0.5.0
-sphinx-panels==0.4.1
-myst-parser==0.18.1

.ci/docker/triton_version.txt

@@ -1 +0,0 @@
-3.1.0

.ci/docker/ubuntu-cuda/Dockerfile

@@ -1,172 +0,0 @@
-ARG UBUNTU_VERSION
-ARG CUDA_VERSION
-ARG IMAGE_NAME
-
-FROM ${IMAGE_NAME}
-
-ARG UBUNTU_VERSION
-ARG CUDA_VERSION
-
-ENV DEBIAN_FRONTEND noninteractive
-
-# Install common dependencies (so that this step can be cached separately)
-COPY ./common/install_base.sh install_base.sh
-RUN bash ./install_base.sh && rm install_base.sh
-
-# Install user
-COPY ./common/install_user.sh install_user.sh
-RUN bash ./install_user.sh && rm install_user.sh
-
-# Install katex
-ARG KATEX
-COPY ./common/install_docs_reqs.sh install_docs_reqs.sh
-RUN bash ./install_docs_reqs.sh && rm install_docs_reqs.sh
-
-# Install conda and other packages (e.g., numpy, pytest)
-ARG ANACONDA_PYTHON_VERSION
-ENV ANACONDA_PYTHON_VERSION=$ANACONDA_PYTHON_VERSION
-ENV PATH /opt/conda/envs/py_$ANACONDA_PYTHON_VERSION/bin:/opt/conda/bin:$PATH
-ARG CONDA_CMAKE
-COPY requirements-ci.txt /opt/conda/requirements-ci.txt
-COPY ./common/install_conda.sh install_conda.sh
-COPY ./common/common_utils.sh common_utils.sh
-RUN bash ./install_conda.sh && rm install_conda.sh common_utils.sh /opt/conda/requirements-ci.txt
-
-# Install gcc
-ARG GCC_VERSION
-COPY ./common/install_gcc.sh install_gcc.sh
-RUN bash ./install_gcc.sh && rm install_gcc.sh
-
-# Install clang
-ARG CLANG_VERSION
-COPY ./common/install_clang.sh install_clang.sh
-RUN bash ./install_clang.sh && rm install_clang.sh
-
-# (optional) Install protobuf for ONNX
-ARG PROTOBUF
-COPY ./common/install_protobuf.sh install_protobuf.sh
-RUN if [ -n "${PROTOBUF}" ]; then bash ./install_protobuf.sh; fi
-RUN rm install_protobuf.sh
-ENV INSTALLED_PROTOBUF ${PROTOBUF}
-
-# (optional) Install database packages like LMDB and LevelDB
-ARG DB
-COPY ./common/install_db.sh install_db.sh
-RUN if [ -n "${DB}" ]; then bash ./install_db.sh; fi
-RUN rm install_db.sh
-ENV INSTALLED_DB ${DB}
-
-# (optional) Install vision packages like OpenCV
-ARG VISION
-COPY ./common/install_vision.sh ./common/cache_vision_models.sh ./common/common_utils.sh ./
-RUN if [ -n "${VISION}" ]; then bash ./install_vision.sh; fi
-RUN rm install_vision.sh cache_vision_models.sh common_utils.sh
-ENV INSTALLED_VISION ${VISION}
-
-# (optional) Install UCC
-ARG UCX_COMMIT
-ARG UCC_COMMIT
-ENV UCX_COMMIT $UCX_COMMIT
-ENV UCC_COMMIT $UCC_COMMIT
-ENV UCX_HOME /usr
-ENV UCC_HOME /usr
-ADD ./common/install_ucc.sh install_ucc.sh
-RUN if [ -n "${UCX_COMMIT}" ] && [ -n "${UCC_COMMIT}" ]; then bash ./install_ucc.sh; fi
-RUN rm install_ucc.sh
-
-COPY ./common/install_openssl.sh install_openssl.sh
-ENV OPENSSL_ROOT_DIR /opt/openssl
-RUN bash ./install_openssl.sh
-ENV OPENSSL_DIR /opt/openssl
-
-ARG INDUCTOR_BENCHMARKS
-COPY ./common/install_inductor_benchmark_deps.sh install_inductor_benchmark_deps.sh
-COPY ./common/common_utils.sh common_utils.sh
-COPY ci_commit_pins/huggingface.txt huggingface.txt
-COPY ci_commit_pins/timm.txt timm.txt
-RUN if [ -n "${INDUCTOR_BENCHMARKS}" ]; then bash ./install_inductor_benchmark_deps.sh; fi
-RUN rm install_inductor_benchmark_deps.sh common_utils.sh timm.txt huggingface.txt
-
-# (optional) Install non-default CMake version
-ARG CMAKE_VERSION
-COPY ./common/install_cmake.sh install_cmake.sh
-RUN if [ -n "${CMAKE_VERSION}" ]; then bash ./install_cmake.sh; fi
-RUN rm install_cmake.sh
-
-ARG TRITON
-# Install triton, this needs to be done before sccache because the latter will
-# try to reach out to S3, which docker build runners don't have access
-COPY ./common/install_triton.sh install_triton.sh
-COPY ./common/common_utils.sh common_utils.sh
-COPY ci_commit_pins/triton.txt triton.txt
-COPY triton_version.txt triton_version.txt
-RUN if [ -n "${TRITON}" ]; then bash ./install_triton.sh; fi
-RUN rm install_triton.sh common_utils.sh triton.txt triton_version.txt
-
-ARG HALIDE
-# Build and install halide
-COPY ./common/install_halide.sh install_halide.sh
-COPY ./common/common_utils.sh common_utils.sh
-COPY ci_commit_pins/halide.txt halide.txt
-RUN if [ -n "${HALIDE}" ]; then bash ./install_halide.sh; fi
-RUN rm install_halide.sh common_utils.sh halide.txt
-
-# Install ccache/sccache (do this last, so we get priority in PATH)
-COPY ./common/install_cache.sh install_cache.sh
-ENV PATH /opt/cache/bin:$PATH
-# See https://github.com/pytorch/pytorch/issues/82174
-# TODO(sdym@fb.com):
-# check if this is needed after full off Xenial migration
-ENV CARGO_NET_GIT_FETCH_WITH_CLI true
-RUN bash ./install_cache.sh && rm install_cache.sh
-ENV CMAKE_CUDA_COMPILER_LAUNCHER=/opt/cache/bin/sccache
-
-# Add jni.h for java host build
-COPY ./common/install_jni.sh install_jni.sh
-COPY ./java/jni.h jni.h
-RUN bash ./install_jni.sh && rm install_jni.sh
-
-# Install Open MPI for CUDA
-COPY ./common/install_openmpi.sh install_openmpi.sh
-RUN if [ -n "${CUDA_VERSION}" ]; then bash install_openmpi.sh; fi
-RUN rm install_openmpi.sh
-
-# Include BUILD_ENVIRONMENT environment variable in image
-ARG BUILD_ENVIRONMENT
-ENV BUILD_ENVIRONMENT ${BUILD_ENVIRONMENT}
-
-# AWS specific CUDA build guidance
-ENV TORCH_CUDA_ARCH_LIST Maxwell
-ENV TORCH_NVCC_FLAGS "-Xfatbin -compress-all"
-ENV CUDA_PATH /usr/local/cuda
-
-# Install LLVM dev version (Defined in the pytorch/builder github repository)
-COPY --from=pytorch/llvm:9.0.1 /opt/llvm /opt/llvm
-
-# Install CUDNN
-ARG CUDNN_VERSION
-ARG CUDA_VERSION
-COPY ./common/install_cudnn.sh install_cudnn.sh
-RUN if [ -n "${CUDNN_VERSION}" ]; then bash install_cudnn.sh; fi
-RUN rm install_cudnn.sh
-
-# Install CUSPARSELT
-ARG CUDA_VERSION
-COPY ./common/install_cusparselt.sh install_cusparselt.sh
-RUN bash install_cusparselt.sh
-RUN rm install_cusparselt.sh
-
-# Install CUDSS
-ARG CUDA_VERSION
-COPY ./common/install_cudss.sh install_cudss.sh
-RUN bash install_cudss.sh
-RUN rm install_cudss.sh
-
-# Delete /usr/local/cuda-11.X/cuda-11.X symlinks
-RUN if [ -h /usr/local/cuda-11.6/cuda-11.6 ]; then rm /usr/local/cuda-11.6/cuda-11.6; fi
-RUN if [ -h /usr/local/cuda-11.7/cuda-11.7 ]; then rm /usr/local/cuda-11.7/cuda-11.7; fi
-RUN if [ -h /usr/local/cuda-12.1/cuda-12.1 ]; then rm /usr/local/cuda-12.1/cuda-12.1; fi
-RUN if [ -h /usr/local/cuda-12.4/cuda-12.4 ]; then rm /usr/local/cuda-12.4/cuda-12.4; fi
-
-USER jenkins
-CMD ["bash"]

.ci/docker/ubuntu-rocm/Dockerfile

@@ -1,130 +0,0 @@
-ARG UBUNTU_VERSION
-
-FROM ubuntu:${UBUNTU_VERSION}
-
-ARG UBUNTU_VERSION
-
-ENV DEBIAN_FRONTEND noninteractive
-
-# Set AMD gpu targets to build for
-ARG PYTORCH_ROCM_ARCH
-ENV PYTORCH_ROCM_ARCH ${PYTORCH_ROCM_ARCH}
-
-# Install common dependencies (so that this step can be cached separately)
-COPY ./common/install_base.sh install_base.sh
-RUN bash ./install_base.sh && rm install_base.sh
-
-# Install clang
-ARG LLVMDEV
-ARG CLANG_VERSION
-COPY ./common/install_clang.sh install_clang.sh
-RUN bash ./install_clang.sh && rm install_clang.sh
-
-# Install user
-COPY ./common/install_user.sh install_user.sh
-RUN bash ./install_user.sh && rm install_user.sh
-
-# Install conda and other packages (e.g., numpy, pytest)
-ARG ANACONDA_PYTHON_VERSION
-ARG CONDA_CMAKE
-ENV ANACONDA_PYTHON_VERSION=$ANACONDA_PYTHON_VERSION
-ENV PATH /opt/conda/envs/py_$ANACONDA_PYTHON_VERSION/bin:/opt/conda/bin:$PATH
-COPY requirements-ci.txt /opt/conda/requirements-ci.txt
-COPY ./common/install_conda.sh install_conda.sh
-COPY ./common/common_utils.sh common_utils.sh
-RUN bash ./install_conda.sh && rm install_conda.sh common_utils.sh /opt/conda/requirements-ci.txt
-
-# Install gcc
-ARG GCC_VERSION
-COPY ./common/install_gcc.sh install_gcc.sh
-RUN bash ./install_gcc.sh && rm install_gcc.sh
-
-# (optional) Install protobuf for ONNX
-ARG PROTOBUF
-COPY ./common/install_protobuf.sh install_protobuf.sh
-RUN if [ -n "${PROTOBUF}" ]; then bash ./install_protobuf.sh; fi
-RUN rm install_protobuf.sh
-ENV INSTALLED_PROTOBUF ${PROTOBUF}
-
-# (optional) Install database packages like LMDB and LevelDB
-ARG DB
-COPY ./common/install_db.sh install_db.sh
-RUN if [ -n "${DB}" ]; then bash ./install_db.sh; fi
-RUN rm install_db.sh
-ENV INSTALLED_DB ${DB}
-
-# (optional) Install vision packages like OpenCV
-ARG VISION
-COPY ./common/install_vision.sh ./common/cache_vision_models.sh ./common/common_utils.sh ./
-RUN if [ -n "${VISION}" ]; then bash ./install_vision.sh; fi
-RUN rm install_vision.sh cache_vision_models.sh common_utils.sh
-ENV INSTALLED_VISION ${VISION}
-
-# Install rocm
-ARG ROCM_VERSION
-COPY ./common/install_rocm.sh install_rocm.sh
-RUN bash ./install_rocm.sh
-RUN rm install_rocm.sh
-COPY ./common/install_rocm_magma.sh install_rocm_magma.sh
-RUN bash ./install_rocm_magma.sh
-RUN rm install_rocm_magma.sh
-ADD ./common/install_miopen.sh install_miopen.sh
-RUN bash ./install_miopen.sh ${ROCM_VERSION} && rm install_miopen.sh
-ENV ROCM_PATH /opt/rocm
-ENV PATH /opt/rocm/bin:$PATH
-ENV PATH /opt/rocm/hcc/bin:$PATH
-ENV PATH /opt/rocm/hip/bin:$PATH
-ENV PATH /opt/rocm/opencl/bin:$PATH
-ENV PATH /opt/rocm/llvm/bin:$PATH
-ENV MAGMA_HOME /opt/rocm/magma
-ENV LANG C.UTF-8
-ENV LC_ALL C.UTF-8
-
-# Install amdsmi
-COPY ./common/install_amdsmi.sh install_amdsmi.sh
-RUN bash ./install_amdsmi.sh
-RUN rm install_amdsmi.sh
-
-# (optional) Install non-default CMake version
-ARG CMAKE_VERSION
-COPY ./common/install_cmake.sh install_cmake.sh
-RUN if [ -n "${CMAKE_VERSION}" ]; then bash ./install_cmake.sh; fi
-RUN rm install_cmake.sh
-
-# (optional) Install non-default Ninja version
-ARG NINJA_VERSION
-COPY ./common/install_ninja.sh install_ninja.sh
-RUN if [ -n "${NINJA_VERSION}" ]; then bash ./install_ninja.sh; fi
-RUN rm install_ninja.sh
-
-ARG TRITON
-# Install triton, this needs to be done before sccache because the latter will
-# try to reach out to S3, which docker build runners don't have access
-COPY ./common/install_triton.sh install_triton.sh
-COPY ./common/common_utils.sh common_utils.sh
-COPY ci_commit_pins/triton.txt triton.txt
-COPY triton_version.txt triton_version.txt
-RUN if [ -n "${TRITON}" ]; then bash ./install_triton.sh; fi
-RUN rm install_triton.sh common_utils.sh triton.txt triton_version.txt
-
-# Install AOTriton
-COPY ./aotriton_version.txt aotriton_version.txt
-COPY ./common/common_utils.sh common_utils.sh
-COPY ./common/install_aotriton.sh install_aotriton.sh
-RUN ["/bin/bash", "-c", "./install_aotriton.sh /opt/rocm && rm -rf install_aotriton.sh aotriton_version.txt common_utils.sh"]
-ENV AOTRITON_INSTALLED_PREFIX /opt/rocm/aotriton
-
-# Install ccache/sccache (do this last, so we get priority in PATH)
-COPY ./common/install_cache.sh install_cache.sh
-ENV PATH /opt/cache/bin:$PATH
-RUN bash ./install_cache.sh && rm install_cache.sh
-
-# Include BUILD_ENVIRONMENT environment variable in image
-ARG BUILD_ENVIRONMENT
-ENV BUILD_ENVIRONMENT ${BUILD_ENVIRONMENT}
-
-# Install LLVM dev version (Defined in the pytorch/builder github repository)
-COPY --from=pytorch/llvm:9.0.1 /opt/llvm /opt/llvm
-
-USER jenkins
-CMD ["bash"]

.ci/docker/ubuntu-xpu/Dockerfile

@@ -1,119 +0,0 @@
-ARG UBUNTU_VERSION
-
-FROM ubuntu:${UBUNTU_VERSION}
-
-ARG UBUNTU_VERSION
-
-ENV DEBIAN_FRONTEND noninteractive
-
-ARG CLANG_VERSION
-
-# Install common dependencies (so that this step can be cached separately)
-COPY ./common/install_base.sh install_base.sh
-RUN bash ./install_base.sh && rm install_base.sh
-
-# Install clang
-ARG LLVMDEV
-COPY ./common/install_clang.sh install_clang.sh
-RUN bash ./install_clang.sh && rm install_clang.sh
-
-# Install user
-COPY ./common/install_user.sh install_user.sh
-RUN bash ./install_user.sh && rm install_user.sh
-
-# Install katex
-ARG KATEX
-COPY ./common/install_docs_reqs.sh install_docs_reqs.sh
-RUN bash ./install_docs_reqs.sh && rm install_docs_reqs.sh
-
-# Install conda and other packages (e.g., numpy, pytest)
-ARG ANACONDA_PYTHON_VERSION
-ARG CONDA_CMAKE
-ARG DOCS
-ARG BUILD_ENVIRONMENT
-ENV ANACONDA_PYTHON_VERSION=$ANACONDA_PYTHON_VERSION
-ENV PATH /opt/conda/envs/py_$ANACONDA_PYTHON_VERSION/bin:/opt/conda/bin:$PATH
-ENV DOCS=$DOCS
-COPY requirements-ci.txt requirements-docs.txt /opt/conda/
-COPY ./common/install_conda.sh install_conda.sh
-COPY ./common/common_utils.sh common_utils.sh
-RUN bash ./install_conda.sh && rm install_conda.sh common_utils.sh /opt/conda/requirements-ci.txt /opt/conda/requirements-docs.txt
-
-# Install gcc
-ARG GCC_VERSION
-COPY ./common/install_gcc.sh install_gcc.sh
-RUN bash ./install_gcc.sh && rm install_gcc.sh
-
-# Install lcov for C++ code coverage
-COPY ./common/install_lcov.sh install_lcov.sh
-RUN  bash ./install_lcov.sh && rm install_lcov.sh
-
-COPY ./common/install_openssl.sh install_openssl.sh
-RUN bash ./install_openssl.sh
-ENV OPENSSL_ROOT_DIR /opt/openssl
-ENV OPENSSL_DIR /opt/openssl
-RUN rm install_openssl.sh
-
-ARG INDUCTOR_BENCHMARKS
-COPY ./common/install_inductor_benchmark_deps.sh install_inductor_benchmark_deps.sh
-COPY ./common/common_utils.sh common_utils.sh
-COPY ci_commit_pins/huggingface.txt huggingface.txt
-COPY ci_commit_pins/timm.txt timm.txt
-RUN if [ -n "${INDUCTOR_BENCHMARKS}" ]; then bash ./install_inductor_benchmark_deps.sh; fi
-RUN rm install_inductor_benchmark_deps.sh common_utils.sh timm.txt huggingface.txt
-
-# Install XPU Dependencies
-ARG XPU_VERSION
-COPY ./common/install_xpu.sh install_xpu.sh
-RUN bash ./install_xpu.sh && rm install_xpu.sh
-
-ARG TRITON
-# Install triton, this needs to be done before sccache because the latter will
-# try to reach out to S3, which docker build runners don't have access
-COPY ./common/install_triton.sh install_triton.sh
-COPY ./common/common_utils.sh common_utils.sh
-COPY ci_commit_pins/triton-xpu.txt triton-xpu.txt
-COPY triton_version.txt triton_version.txt
-RUN if [ -n "${TRITON}" ]; then bash ./install_triton.sh; fi
-RUN rm install_triton.sh common_utils.sh triton-xpu.txt triton_version.txt
-
-# (optional) Install database packages like LMDB and LevelDB
-ARG DB
-COPY ./common/install_db.sh install_db.sh
-RUN if [ -n "${DB}" ]; then bash ./install_db.sh; fi
-RUN rm install_db.sh
-ENV INSTALLED_DB ${DB}
-
-# (optional) Install vision packages like OpenCV
-ARG VISION
-COPY ./common/install_vision.sh ./common/cache_vision_models.sh ./common/common_utils.sh ./
-RUN if [ -n "${VISION}" ]; then bash ./install_vision.sh; fi
-RUN rm install_vision.sh cache_vision_models.sh common_utils.sh
-ENV INSTALLED_VISION ${VISION}
-
-# (optional) Install non-default CMake version
-ARG CMAKE_VERSION
-COPY ./common/install_cmake.sh install_cmake.sh
-RUN if [ -n "${CMAKE_VERSION}" ]; then bash ./install_cmake.sh; fi
-RUN rm install_cmake.sh
-
-# (optional) Install non-default Ninja version
-ARG NINJA_VERSION
-COPY ./common/install_ninja.sh install_ninja.sh
-RUN if [ -n "${NINJA_VERSION}" ]; then bash ./install_ninja.sh; fi
-RUN rm install_ninja.sh
-
-# Install ccache/sccache (do this last, so we get priority in PATH)
-COPY ./common/install_cache.sh install_cache.sh
-ENV PATH /opt/cache/bin:$PATH
-RUN bash ./install_cache.sh && rm install_cache.sh
-
-# Include BUILD_ENVIRONMENT environment variable in image
-ARG BUILD_ENVIRONMENT
-ENV BUILD_ENVIRONMENT ${BUILD_ENVIRONMENT}
-
-# Install LLVM dev version (Defined in the pytorch/builder github repository)
-COPY --from=pytorch/llvm:9.0.1 /opt/llvm /opt/llvm
-
-USER jenkins
-CMD ["bash"]

.ci/docker/ubuntu/Dockerfile

@@ -1,211 +0,0 @@
-ARG UBUNTU_VERSION
-
-FROM ubuntu:${UBUNTU_VERSION}
-
-ARG UBUNTU_VERSION
-
-ENV DEBIAN_FRONTEND noninteractive
-
-ARG CLANG_VERSION
-
-# Install common dependencies (so that this step can be cached separately)
-COPY ./common/install_base.sh install_base.sh
-RUN bash ./install_base.sh && rm install_base.sh
-
-# Install clang
-ARG LLVMDEV
-COPY ./common/install_clang.sh install_clang.sh
-RUN bash ./install_clang.sh && rm install_clang.sh
-
-# Install user
-COPY ./common/install_user.sh install_user.sh
-RUN bash ./install_user.sh && rm install_user.sh
-
-# Install katex
-ARG KATEX
-COPY ./common/install_docs_reqs.sh install_docs_reqs.sh
-RUN bash ./install_docs_reqs.sh && rm install_docs_reqs.sh
-
-# Install conda and other packages (e.g., numpy, pytest)
-ARG ANACONDA_PYTHON_VERSION
-ARG CONDA_CMAKE
-ARG DOCS
-ENV ANACONDA_PYTHON_VERSION=$ANACONDA_PYTHON_VERSION
-ENV PATH /opt/conda/envs/py_$ANACONDA_PYTHON_VERSION/bin:/opt/conda/bin:$PATH
-ENV DOCS=$DOCS
-COPY requirements-ci.txt requirements-docs.txt /opt/conda/
-COPY ./common/install_conda.sh install_conda.sh
-COPY ./common/common_utils.sh common_utils.sh
-RUN bash ./install_conda.sh && rm install_conda.sh common_utils.sh /opt/conda/requirements-ci.txt /opt/conda/requirements-docs.txt
-RUN if [ -n "${UNINSTALL_DILL}" ]; then pip uninstall -y dill; fi
-
-# Install gcc
-ARG GCC_VERSION
-COPY ./common/install_gcc.sh install_gcc.sh
-RUN bash ./install_gcc.sh && rm install_gcc.sh
-
-# Install lcov for C++ code coverage
-COPY ./common/install_lcov.sh install_lcov.sh
-RUN  bash ./install_lcov.sh && rm install_lcov.sh
-
-# Install cuda and cudnn
-ARG CUDA_VERSION
-COPY ./common/install_cuda.sh install_cuda.sh
-RUN bash ./install_cuda.sh ${CUDA_VERSION} && rm install_cuda.sh
-ENV DESIRED_CUDA ${CUDA_VERSION}
-ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:$PATH
-
-# (optional) Install UCC
-ARG UCX_COMMIT
-ARG UCC_COMMIT
-ENV UCX_COMMIT $UCX_COMMIT
-ENV UCC_COMMIT $UCC_COMMIT
-ENV UCX_HOME /usr
-ENV UCC_HOME /usr
-ADD ./common/install_ucc.sh install_ucc.sh
-RUN if [ -n "${UCX_COMMIT}" ] && [ -n "${UCC_COMMIT}" ]; then bash ./install_ucc.sh; fi
-RUN rm install_ucc.sh
-
-# (optional) Install protobuf for ONNX
-ARG PROTOBUF
-COPY ./common/install_protobuf.sh install_protobuf.sh
-RUN if [ -n "${PROTOBUF}" ]; then bash ./install_protobuf.sh; fi
-RUN rm install_protobuf.sh
-ENV INSTALLED_PROTOBUF ${PROTOBUF}
-
-# (optional) Install database packages like LMDB and LevelDB
-ARG DB
-COPY ./common/install_db.sh install_db.sh
-RUN if [ -n "${DB}" ]; then bash ./install_db.sh; fi
-RUN rm install_db.sh
-ENV INSTALLED_DB ${DB}
-
-# (optional) Install vision packages like OpenCV
-ARG VISION
-COPY ./common/install_vision.sh ./common/cache_vision_models.sh ./common/common_utils.sh ./
-RUN if [ -n "${VISION}" ]; then bash ./install_vision.sh; fi
-RUN rm install_vision.sh cache_vision_models.sh common_utils.sh
-ENV INSTALLED_VISION ${VISION}
-
-# (optional) Install Android NDK
-ARG ANDROID
-ARG ANDROID_NDK
-ARG GRADLE_VERSION
-COPY ./common/install_android.sh ./common/cache_vision_models.sh ./common/common_utils.sh ./
-COPY ./android/AndroidManifest.xml AndroidManifest.xml
-COPY ./android/build.gradle build.gradle
-RUN if [ -n "${ANDROID}" ]; then bash ./install_android.sh; fi
-RUN rm install_android.sh cache_vision_models.sh common_utils.sh
-RUN rm AndroidManifest.xml
-RUN rm build.gradle
-ENV INSTALLED_ANDROID ${ANDROID}
-
-# (optional) Install Vulkan SDK
-ARG VULKAN_SDK_VERSION
-COPY ./common/install_vulkan_sdk.sh install_vulkan_sdk.sh
-RUN if [ -n "${VULKAN_SDK_VERSION}" ]; then bash ./install_vulkan_sdk.sh; fi
-RUN rm install_vulkan_sdk.sh
-
-# (optional) Install swiftshader
-ARG SWIFTSHADER
-COPY ./common/install_swiftshader.sh install_swiftshader.sh
-RUN if [ -n "${SWIFTSHADER}" ]; then bash ./install_swiftshader.sh; fi
-RUN rm install_swiftshader.sh
-
-# (optional) Install non-default CMake version
-ARG CMAKE_VERSION
-COPY ./common/install_cmake.sh install_cmake.sh
-RUN if [ -n "${CMAKE_VERSION}" ]; then bash ./install_cmake.sh; fi
-RUN rm install_cmake.sh
-
-# (optional) Install non-default Ninja version
-ARG NINJA_VERSION
-COPY ./common/install_ninja.sh install_ninja.sh
-RUN if [ -n "${NINJA_VERSION}" ]; then bash ./install_ninja.sh; fi
-RUN rm install_ninja.sh
-
-COPY ./common/install_openssl.sh install_openssl.sh
-RUN bash ./install_openssl.sh
-ENV OPENSSL_ROOT_DIR /opt/openssl
-ENV OPENSSL_DIR /opt/openssl
-RUN rm install_openssl.sh
-
-ARG INDUCTOR_BENCHMARKS
-COPY ./common/install_inductor_benchmark_deps.sh install_inductor_benchmark_deps.sh
-COPY ./common/common_utils.sh common_utils.sh
-COPY ci_commit_pins/huggingface.txt huggingface.txt
-COPY ci_commit_pins/timm.txt timm.txt
-RUN if [ -n "${INDUCTOR_BENCHMARKS}" ]; then bash ./install_inductor_benchmark_deps.sh; fi
-RUN rm install_inductor_benchmark_deps.sh common_utils.sh timm.txt huggingface.txt
-
-ARG TRITON
-# Install triton, this needs to be done before sccache because the latter will
-# try to reach out to S3, which docker build runners don't have access
-COPY ./common/install_triton.sh install_triton.sh
-COPY ./common/common_utils.sh common_utils.sh
-COPY ci_commit_pins/triton.txt triton.txt
-RUN if [ -n "${TRITON}" ]; then bash ./install_triton.sh; fi
-RUN rm install_triton.sh common_utils.sh triton.txt
-
-ARG EXECUTORCH
-# Build and install executorch
-COPY ./common/install_executorch.sh install_executorch.sh
-COPY ./common/common_utils.sh common_utils.sh
-COPY ci_commit_pins/executorch.txt executorch.txt
-RUN if [ -n "${EXECUTORCH}" ]; then bash ./install_executorch.sh; fi
-RUN rm install_executorch.sh common_utils.sh executorch.txt
-
-ARG HALIDE
-# Build and install halide
-COPY ./common/install_halide.sh install_halide.sh
-COPY ./common/common_utils.sh common_utils.sh
-COPY ci_commit_pins/halide.txt halide.txt
-RUN if [ -n "${HALIDE}" ]; then bash ./install_halide.sh; fi
-RUN rm install_halide.sh common_utils.sh halide.txt
-
-ARG ONNX
-# Install ONNX dependencies
-COPY ./common/install_onnx.sh ./common/common_utils.sh ./
-RUN if [ -n "${ONNX}" ]; then bash ./install_onnx.sh; fi
-RUN rm install_onnx.sh common_utils.sh
-
-# (optional) Build ACL
-ARG ACL
-COPY ./common/install_acl.sh install_acl.sh
-RUN if [ -n "${ACL}" ]; then bash ./install_acl.sh; fi
-RUN rm install_acl.sh
-ENV INSTALLED_ACL ${ACL}
-
-# Install ccache/sccache (do this last, so we get priority in PATH)
-ARG SKIP_SCCACHE_INSTALL
-COPY ./common/install_cache.sh install_cache.sh
-ENV PATH /opt/cache/bin:$PATH
-RUN if [ -z "${SKIP_SCCACHE_INSTALL}" ]; then bash ./install_cache.sh; fi
-RUN rm install_cache.sh
-
-# Add jni.h for java host build
-COPY ./common/install_jni.sh install_jni.sh
-COPY ./java/jni.h jni.h
-RUN bash ./install_jni.sh && rm install_jni.sh
-
-# Install Open MPI for CUDA
-COPY ./common/install_openmpi.sh install_openmpi.sh
-RUN if [ -n "${CUDA_VERSION}" ]; then bash install_openmpi.sh; fi
-RUN rm install_openmpi.sh
-
-# Include BUILD_ENVIRONMENT environment variable in image
-ARG BUILD_ENVIRONMENT
-ENV BUILD_ENVIRONMENT ${BUILD_ENVIRONMENT}
-
-# Install LLVM dev version (Defined in the pytorch/builder github repository)
-ARG SKIP_LLVM_SRC_BUILD_INSTALL
-COPY --from=pytorch/llvm:9.0.1 /opt/llvm /opt/llvm
-RUN if [ -n "${SKIP_LLVM_SRC_BUILD_INSTALL}" ]; then set -eu; rm -rf /opt/llvm; fi
-
-# AWS specific CUDA build guidance
-ENV TORCH_CUDA_ARCH_LIST Maxwell
-ENV TORCH_NVCC_FLAGS "-Xfatbin -compress-all"
-ENV CUDA_PATH /usr/local/cuda
-
-USER jenkins
-CMD ["bash"]

.ci/onnx/README.md

@@ -1,14 +0,0 @@
-# Jenkins
-
-The scripts in this directory are the entrypoint for testing ONNX exporter.
-
-The environment variable `BUILD_ENVIRONMENT` is expected to be set to
-the build environment you intend to test. It is a hint for the build
-and test scripts to configure Caffe2 a certain way and include/exclude
-tests. Docker images, they equal the name of the image itself. For
-example: `py2-cuda9.0-cudnn7-ubuntu16.04`. The Docker images that are
-built on Jenkins and are used in triggered builds already have this
-environment variable set in their manifest. Also see
-`./docker/jenkins/*/Dockerfile` and search for `BUILD_ENVIRONMENT`.
-
-Our Jenkins installation is located at https://ci.pytorch.org/jenkins/.

.ci/onnx/common.sh

@@ -1,23 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-source "$(dirname "${BASH_SOURCE[0]}")/../pytorch/common_utils.sh"
-
-LOCAL_DIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)
-ROOT_DIR=$(cd "$LOCAL_DIR"/../.. && pwd)
-TEST_DIR="$ROOT_DIR/test"
-pytest_reports_dir="${TEST_DIR}/test-reports/python"
-
-# Figure out which Python to use
-PYTHON="$(which python)"
-if [[ "${BUILD_ENVIRONMENT}" =~ py((2|3)\.?[0-9]?\.?[0-9]?) ]]; then
-  PYTHON=$(which "python${BASH_REMATCH[1]}")
-fi
-
-if [[ "${BUILD_ENVIRONMENT}" == *rocm* ]]; then
-    # HIP_PLATFORM is auto-detected by hipcc; unset to avoid build errors
-    unset HIP_PLATFORM
-fi
-
-mkdir -p "$pytest_reports_dir" || true

.ci/onnx/test.sh

@@ -1,29 +0,0 @@
-#!/bin/bash
-
-# shellcheck source=./common.sh
-source "$(dirname "${BASH_SOURCE[0]}")/common.sh"
-
-# Workaround for dind-rootless userid mapping (https://github.com/pytorch/ci-infra/issues/96)
-WORKSPACE_ORIGINAL_OWNER_ID=$(stat -c '%u' "/var/lib/jenkins/workspace")
-cleanup_workspace() {
-  echo "sudo may print the following warning message that can be ignored. The chown command will still run."
-  echo "    sudo: setrlimit(RLIMIT_STACK): Operation not permitted"
-  echo "For more details refer to https://github.com/sudo-project/sudo/issues/42"
-  sudo chown -R "$WORKSPACE_ORIGINAL_OWNER_ID" /var/lib/jenkins/workspace
-}
-# Disable shellcheck SC2064 as we want to parse the original owner immediately.
-# shellcheck disable=SC2064
-trap_add cleanup_workspace EXIT
-sudo chown -R jenkins /var/lib/jenkins/workspace
-git config --global --add safe.directory /var/lib/jenkins/workspace
-
-if [[ "$BUILD_ENVIRONMENT" == *onnx* ]]; then
-  # TODO: This can be removed later once vision is also part of the Docker image
-  pip install -q --user --no-use-pep517 "git+https://github.com/pytorch/vision.git@$(cat .github/ci_commit_pins/vision.txt)"
-  # JIT C++ extensions require ninja, so put it into PATH.
-  export PATH="/var/lib/jenkins/.local/bin:$PATH"
-  # NB: ONNX test is fast (~15m) so it's ok to retry it few more times to avoid any flaky issue, we
-  # need to bring this to the standard PyTorch run_test eventually. The issue will be tracked in
-  # https://github.com/pytorch/pytorch/issues/98626
-  "$ROOT_DIR/scripts/onnx/test.sh"
-fi

.ci/pytorch/README.md

@@ -1 +0,0 @@
-This directory contains scripts for our continuous integration.

.ci/pytorch/build.sh

@@ -1,408 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-# Required environment variable: $BUILD_ENVIRONMENT
-# (This is set by default in the Docker images we build, so you don't
-# need to set it yourself.
-
-# shellcheck source=./common.sh
-source "$(dirname "${BASH_SOURCE[0]}")/common.sh"
-# shellcheck source=./common-build.sh
-source "$(dirname "${BASH_SOURCE[0]}")/common-build.sh"
-
-if [[ "$BUILD_ENVIRONMENT" == *-mobile-*build* ]]; then
-  exec "$(dirname "${BASH_SOURCE[0]}")/build-mobile.sh" "$@"
-fi
-
-echo "Python version:"
-python --version
-
-echo "GCC version:"
-gcc --version
-
-echo "CMake version:"
-cmake --version
-
-echo "Environment variables:"
-env
-
-if [[ "$BUILD_ENVIRONMENT" == *cuda* ]]; then
-  # Use jemalloc during compilation to mitigate https://github.com/pytorch/pytorch/issues/116289
-  export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2
-  echo "NVCC version:"
-  nvcc --version
-fi
-
-if [[ "$BUILD_ENVIRONMENT" == *cuda11* ]]; then
-  if [[ "$BUILD_ENVIRONMENT" != *cuda11.3* && "$BUILD_ENVIRONMENT" != *clang* ]]; then
-    # TODO: there is a linking issue when building with UCC using clang,
-    # disable it for now and to be fix later.
-    # TODO: disable UCC temporarily to enable CUDA 12.1 in CI
-    export USE_UCC=1
-    export USE_SYSTEM_UCC=1
-  fi
-fi
-
-if [[ ${BUILD_ENVIRONMENT} == *"parallelnative"* ]]; then
-  export ATEN_THREADING=NATIVE
-fi
-
-# Enable LLVM dependency for TensorExpr testing
-export USE_LLVM=/opt/llvm
-export LLVM_DIR=/opt/llvm/lib/cmake/llvm
-
-if [[ "$BUILD_ENVIRONMENT" == *executorch* ]]; then
-  # To build test_edge_op_registration
-  export BUILD_EXECUTORCH=ON
-  export USE_CUDA=0
-fi
-
-if ! which conda; then
-  # In ROCm CIs, we are doing cross compilation on build machines with
-  # intel cpu and later run tests on machines with amd cpu.
-  # Also leave out two builds to make sure non-mkldnn builds still work.
-  if [[ "$BUILD_ENVIRONMENT" != *rocm* ]]; then
-    export USE_MKLDNN=1
-  else
-    export USE_MKLDNN=0
-  fi
-else
-  # CMAKE_PREFIX_PATH precedences
-  # 1. $CONDA_PREFIX, if defined. This follows the pytorch official build instructions.
-  # 2. /opt/conda/envs/py_${ANACONDA_PYTHON_VERSION}, if ANACONDA_PYTHON_VERSION defined.
-  #    This is for CI, which defines ANACONDA_PYTHON_VERSION but not CONDA_PREFIX.
-  # 3. $(conda info --base). The fallback value of pytorch official build
-  #    instructions actually refers to this.
-  #    Commonly this is /opt/conda/
-  if [[ -v CONDA_PREFIX ]]; then
-    export CMAKE_PREFIX_PATH=${CONDA_PREFIX}
-  elif [[ -v ANACONDA_PYTHON_VERSION ]]; then
-    export CMAKE_PREFIX_PATH="/opt/conda/envs/py_${ANACONDA_PYTHON_VERSION}"
-  else
-    # already checked by `! which conda`
-    CMAKE_PREFIX_PATH="$(conda info --base)"
-    export CMAKE_PREFIX_PATH
-  fi
-
-  # Workaround required for MKL library linkage
-  # https://github.com/pytorch/pytorch/issues/119557
-  if [ "$ANACONDA_PYTHON_VERSION" = "3.12" ]; then
-    export CMAKE_LIBRARY_PATH="/opt/conda/envs/py_$ANACONDA_PYTHON_VERSION/lib/"
-    export CMAKE_INCLUDE_PATH="/opt/conda/envs/py_$ANACONDA_PYTHON_VERSION/include/"
-  fi
-fi
-
-if [[ "$BUILD_ENVIRONMENT" == *aarch64* ]]; then
-  export USE_MKLDNN=1
-  export USE_MKLDNN_ACL=1
-  export ACL_ROOT_DIR=/ComputeLibrary
-fi
-
-if [[ "$BUILD_ENVIRONMENT" == *libtorch* ]]; then
-  POSSIBLE_JAVA_HOMES=()
-  POSSIBLE_JAVA_HOMES+=(/usr/local)
-  POSSIBLE_JAVA_HOMES+=(/usr/lib/jvm/java-8-openjdk-amd64)
-  POSSIBLE_JAVA_HOMES+=(/Library/Java/JavaVirtualMachines/*.jdk/Contents/Home)
-  # Add the Windows-specific JNI
-  POSSIBLE_JAVA_HOMES+=("$PWD/.circleci/windows-jni/")
-  for JH in "${POSSIBLE_JAVA_HOMES[@]}" ; do
-    if [[ -e "$JH/include/jni.h" ]] ; then
-      # Skip if we're not on Windows but haven't found a JAVA_HOME
-      if [[ "$JH" == "$PWD/.circleci/windows-jni/" && "$OSTYPE" != "msys" ]] ; then
-        break
-      fi
-      echo "Found jni.h under $JH"
-      export JAVA_HOME="$JH"
-      export BUILD_JNI=ON
-      break
-    fi
-  done
-  if [ -z "$JAVA_HOME" ]; then
-    echo "Did not find jni.h"
-  fi
-fi
-
-# Use special scripts for Android builds
-if [[ "${BUILD_ENVIRONMENT}" == *-android* ]]; then
-  export ANDROID_NDK=/opt/ndk
-  build_args=()
-  if [[ "${BUILD_ENVIRONMENT}" == *-arm-v7a* ]]; then
-    build_args+=("-DANDROID_ABI=armeabi-v7a")
-  elif [[ "${BUILD_ENVIRONMENT}" == *-arm-v8a* ]]; then
-    build_args+=("-DANDROID_ABI=arm64-v8a")
-  elif [[ "${BUILD_ENVIRONMENT}" == *-x86_32* ]]; then
-    build_args+=("-DANDROID_ABI=x86")
-  elif [[ "${BUILD_ENVIRONMENT}" == *-x86_64* ]]; then
-    build_args+=("-DANDROID_ABI=x86_64")
-  fi
-  if [[ "${BUILD_ENVIRONMENT}" == *vulkan* ]]; then
-    build_args+=("-DUSE_VULKAN=ON")
-  fi
-  build_args+=("-DUSE_LITE_INTERPRETER_PROFILER=OFF")
-  exec ./scripts/build_android.sh "${build_args[@]}" "$@"
-fi
-
-if [[ "$BUILD_ENVIRONMENT" != *android* && "$BUILD_ENVIRONMENT" == *vulkan* ]]; then
-  export USE_VULKAN=1
-  # shellcheck disable=SC1091
-  source /var/lib/jenkins/vulkansdk/setup-env.sh
-fi
-
-if [[ "$BUILD_ENVIRONMENT" == *rocm* ]]; then
-  # hcc used to run out of memory, silently exiting without stopping
-  # the build process, leaving undefined symbols in the shared lib,
-  # causing undefined symbol errors when later running tests.
-  # We used to set MAX_JOBS to 4 to avoid, but this is no longer an issue.
-  if [ -z "$MAX_JOBS" ]; then
-    export MAX_JOBS=$(($(nproc) - 1))
-  fi
-
-  if [[ -n "$CI" && -z "$PYTORCH_ROCM_ARCH" ]]; then
-      # Set ROCM_ARCH to gfx906 for CI builds, if user doesn't override.
-      echo "Limiting PYTORCH_ROCM_ARCH to gfx906 for CI builds"
-      export PYTORCH_ROCM_ARCH="gfx906"
-  fi
-
-  # hipify sources
-  python tools/amd_build/build_amd.py
-fi
-
-if [[ "$BUILD_ENVIRONMENT" == *xpu* ]]; then
-  # shellcheck disable=SC1091
-  source /opt/intel/oneapi/compiler/latest/env/vars.sh
-  # XPU kineto feature dependencies are not fully ready, disable kineto build as temp WA
-  export USE_KINETO=0
-fi
-
-# sccache will fail for CUDA builds if all cores are used for compiling
-# gcc 7 with sccache seems to have intermittent OOM issue if all cores are used
-if [ -z "$MAX_JOBS" ]; then
-  if { [[ "$BUILD_ENVIRONMENT" == *cuda* ]] || [[ "$BUILD_ENVIRONMENT" == *gcc7* ]]; } && which sccache > /dev/null; then
-    export MAX_JOBS=$(($(nproc) - 1))
-  fi
-fi
-
-# TORCH_CUDA_ARCH_LIST must be passed from an environment variable
-if [[ "$BUILD_ENVIRONMENT" == *cuda* && -z "$TORCH_CUDA_ARCH_LIST" ]]; then
-  echo "TORCH_CUDA_ARCH_LIST must be defined"
-  exit 1
-fi
-
-# We only build FlashAttention files for CUDA 8.0+, and they require large amounts of
-# memory to build and will OOM
-if [[ "$BUILD_ENVIRONMENT" == *cuda* ]] && [[ "$TORCH_CUDA_ARCH_LIST" == *"8.6"* || "$TORCH_CUDA_ARCH_LIST" == *"8.0"* ]]; then
-  echo "WARNING: FlashAttention files require large amounts of memory to build and will OOM"
-  echo "Setting MAX_JOBS=(nproc-2)/3 to reduce memory usage"
-  export MAX_JOBS="$(( $(nproc --ignore=2) / 3 ))"
-fi
-
-if [[ "${BUILD_ENVIRONMENT}" == *clang* ]]; then
-  export CC=clang
-  export CXX=clang++
-fi
-
-if [[ "$BUILD_ENVIRONMENT" == *-clang*-asan* ]]; then
-  export LDSHARED="clang --shared"
-  export USE_CUDA=0
-  export USE_ASAN=1
-  export UBSAN_FLAGS="-fno-sanitize-recover=all;-fno-sanitize=float-divide-by-zero;-fno-sanitize=float-cast-overflow"
-  unset USE_LLVM
-fi
-
-if [[ "${BUILD_ENVIRONMENT}" == *no-ops* ]]; then
-  export USE_PER_OPERATOR_HEADERS=0
-fi
-
-if [[ "${BUILD_ENVIRONMENT}" == *-pch* ]]; then
-    export USE_PRECOMPILED_HEADERS=1
-fi
-
-if [[ "${BUILD_ENVIRONMENT}" == *linux-focal-py3.7-gcc7-build*  ]]; then
-  export USE_GLOO_WITH_OPENSSL=ON
-fi
-
-if [[ "${BUILD_ENVIRONMENT}" != *android* && "${BUILD_ENVIRONMENT}" != *cuda* ]]; then
-  export BUILD_STATIC_RUNTIME_BENCHMARK=ON
-fi
-
-if [[ "$BUILD_ENVIRONMENT" == *-debug* ]]; then
-  export CMAKE_BUILD_TYPE=RelWithAssert
-fi
-
-# Do not change workspace permissions for ROCm CI jobs
-# as it can leave workspace with bad permissions for cancelled jobs
-if [[ "$BUILD_ENVIRONMENT" != *rocm* && "$BUILD_ENVIRONMENT" != *s390x* ]]; then
-  # Workaround for dind-rootless userid mapping (https://github.com/pytorch/ci-infra/issues/96)
-  WORKSPACE_ORIGINAL_OWNER_ID=$(stat -c '%u' "/var/lib/jenkins/workspace")
-  cleanup_workspace() {
-    echo "sudo may print the following warning message that can be ignored. The chown command will still run."
-    echo "    sudo: setrlimit(RLIMIT_STACK): Operation not permitted"
-    echo "For more details refer to https://github.com/sudo-project/sudo/issues/42"
-    sudo chown -R "$WORKSPACE_ORIGINAL_OWNER_ID" /var/lib/jenkins/workspace
-  }
-  # Disable shellcheck SC2064 as we want to parse the original owner immediately.
-  # shellcheck disable=SC2064
-  trap_add cleanup_workspace EXIT
-  sudo chown -R jenkins /var/lib/jenkins/workspace
-  git config --global --add safe.directory /var/lib/jenkins/workspace
-fi
-
-if [[ "$BUILD_ENVIRONMENT" == *-bazel-* ]]; then
-  set -e
-
-  get_bazel
-  install_sccache_nvcc_for_bazel
-
-  # Leave 1 CPU free and use only up to 80% of memory to reduce the change of crashing
-  # the runner
-  BAZEL_MEM_LIMIT="--local_ram_resources=HOST_RAM*.8"
-  BAZEL_CPU_LIMIT="--local_cpu_resources=HOST_CPUS-1"
-
-  if [[ "$CUDA_VERSION" == "cpu" ]]; then
-    # Build torch, the Python module, and tests for CPU-only
-    tools/bazel build --config=no-tty "${BAZEL_MEM_LIMIT}" "${BAZEL_CPU_LIMIT}" --config=cpu-only :torch :torch/_C.so :all_tests
-  else
-    tools/bazel build --config=no-tty "${BAZEL_MEM_LIMIT}" "${BAZEL_CPU_LIMIT}" //...
-  fi
-else
-  # check that setup.py would fail with bad arguments
-  echo "The next three invocations are expected to fail with invalid command error messages."
-  ( ! get_exit_code python setup.py bad_argument )
-  ( ! get_exit_code python setup.py clean] )
-  ( ! get_exit_code python setup.py clean bad_argument )
-
-  if [[ "$BUILD_ENVIRONMENT" != *libtorch* ]]; then
-    # rocm builds fail when WERROR=1
-    # XLA test build fails when WERROR=1
-    # set only when building other architectures
-    # or building non-XLA tests.
-    if [[ "$BUILD_ENVIRONMENT" != *rocm*  &&
-          "$BUILD_ENVIRONMENT" != *s390x*   &&
-          "$BUILD_ENVIRONMENT" != *xla* ]]; then
-      if [[ "$BUILD_ENVIRONMENT" != *py3.8* ]]; then
-        # Install numpy-2.0.2 for builds which are backward compatible with 1.X
-        python -mpip install --pre numpy==2.0.2
-      fi
-
-      WERROR=1 python setup.py clean
-
-      if [[ "$USE_SPLIT_BUILD" == "true" ]]; then
-        BUILD_LIBTORCH_WHL=1 BUILD_PYTHON_ONLY=0 python setup.py bdist_wheel
-        BUILD_LIBTORCH_WHL=0 BUILD_PYTHON_ONLY=1 python setup.py bdist_wheel --cmake
-      else
-        WERROR=1 python setup.py bdist_wheel
-      fi
-    else
-      python setup.py clean
-      if [[ "$BUILD_ENVIRONMENT" == *xla* ]]; then
-        source .ci/pytorch/install_cache_xla.sh
-      fi
-      if [[ "$USE_SPLIT_BUILD" == "true" ]]; then
-        echo "USE_SPLIT_BUILD cannot be used with xla or rocm"
-        exit 1
-      else
-        python setup.py bdist_wheel
-      fi
-    fi
-    pip_install_whl "$(echo dist/*.whl)"
-
-    # TODO: I'm not sure why, but somehow we lose verbose commands
-    set -x
-
-    assert_git_not_dirty
-    # Copy ninja build logs to dist folder
-    mkdir -p dist
-    if [ -f build/.ninja_log ]; then
-      cp build/.ninja_log dist
-    fi
-
-    if [[ "$BUILD_ENVIRONMENT" == *rocm* ]]; then
-      # remove sccache wrappers post-build; runtime compilation of MIOpen kernels does not yet fully support them
-      sudo rm -f /opt/cache/bin/cc
-      sudo rm -f /opt/cache/bin/c++
-      sudo rm -f /opt/cache/bin/gcc
-      sudo rm -f /opt/cache/bin/g++
-      pushd /opt/rocm/llvm/bin
-      if [[ -d original ]]; then
-        sudo mv original/clang .
-        sudo mv original/clang++ .
-      fi
-      sudo rm -rf original
-      popd
-    fi
-
-    CUSTOM_TEST_ARTIFACT_BUILD_DIR=${CUSTOM_TEST_ARTIFACT_BUILD_DIR:-"build/custom_test_artifacts"}
-    CUSTOM_TEST_USE_ROCM=$([[ "$BUILD_ENVIRONMENT" == *rocm* ]] && echo "ON" || echo "OFF")
-    CUSTOM_TEST_MODULE_PATH="${PWD}/cmake/public"
-    mkdir -pv "${CUSTOM_TEST_ARTIFACT_BUILD_DIR}"
-
-    # Build custom operator tests.
-    CUSTOM_OP_BUILD="${CUSTOM_TEST_ARTIFACT_BUILD_DIR}/custom-op-build"
-    CUSTOM_OP_TEST="$PWD/test/custom_operator"
-    python --version
-    SITE_PACKAGES="$(python -c 'import site; print(";".join([x for x in site.getsitepackages()] + [x + "/torch" for x in site.getsitepackages()]))')"
-
-    mkdir -p "$CUSTOM_OP_BUILD"
-    pushd "$CUSTOM_OP_BUILD"
-    cmake "$CUSTOM_OP_TEST" -DCMAKE_PREFIX_PATH="$SITE_PACKAGES" -DPython_EXECUTABLE="$(which python)" \
-          -DCMAKE_MODULE_PATH="$CUSTOM_TEST_MODULE_PATH" -DUSE_ROCM="$CUSTOM_TEST_USE_ROCM"
-    make VERBOSE=1
-    popd
-    assert_git_not_dirty
-
-    # Build jit hook tests
-    JIT_HOOK_BUILD="${CUSTOM_TEST_ARTIFACT_BUILD_DIR}/jit-hook-build"
-    JIT_HOOK_TEST="$PWD/test/jit_hooks"
-    python --version
-    SITE_PACKAGES="$(python -c 'import site; print(";".join([x for x in site.getsitepackages()] + [x + "/torch" for x in site.getsitepackages()]))')"
-    mkdir -p "$JIT_HOOK_BUILD"
-    pushd "$JIT_HOOK_BUILD"
-    cmake "$JIT_HOOK_TEST" -DCMAKE_PREFIX_PATH="$SITE_PACKAGES" -DPython_EXECUTABLE="$(which python)" \
-          -DCMAKE_MODULE_PATH="$CUSTOM_TEST_MODULE_PATH" -DUSE_ROCM="$CUSTOM_TEST_USE_ROCM"
-    make VERBOSE=1
-    popd
-    assert_git_not_dirty
-
-    # Build custom backend tests.
-    CUSTOM_BACKEND_BUILD="${CUSTOM_TEST_ARTIFACT_BUILD_DIR}/custom-backend-build"
-    CUSTOM_BACKEND_TEST="$PWD/test/custom_backend"
-    python --version
-    mkdir -p "$CUSTOM_BACKEND_BUILD"
-    pushd "$CUSTOM_BACKEND_BUILD"
-    cmake "$CUSTOM_BACKEND_TEST" -DCMAKE_PREFIX_PATH="$SITE_PACKAGES" -DPython_EXECUTABLE="$(which python)" \
-          -DCMAKE_MODULE_PATH="$CUSTOM_TEST_MODULE_PATH" -DUSE_ROCM="$CUSTOM_TEST_USE_ROCM"
-    make VERBOSE=1
-    popd
-    assert_git_not_dirty
-  else
-    # Test no-Python build
-    echo "Building libtorch"
-
-    # This is an attempt to mitigate flaky libtorch build OOM error. By default, the build parallelization
-    # is set to be the number of CPU minus 2. So, let's try a more conservative value here. A 4xlarge has
-    # 16 CPUs
-    MAX_JOBS=$(nproc --ignore=4)
-    export MAX_JOBS
-
-    # NB: Install outside of source directory (at the same level as the root
-    # pytorch folder) so that it doesn't get cleaned away prior to docker push.
-    BUILD_LIBTORCH_PY=$PWD/tools/build_libtorch.py
-    mkdir -p ../cpp-build/caffe2
-    pushd ../cpp-build/caffe2
-    WERROR=1 VERBOSE=1 DEBUG=1 python "$BUILD_LIBTORCH_PY"
-    popd
-  fi
-fi
-
-if [[ "$BUILD_ENVIRONMENT" != *libtorch* && "$BUILD_ENVIRONMENT" != *bazel* ]]; then
-  # export test times so that potential sharded tests that'll branch off this build will use consistent data
-  # don't do this for libtorch as libtorch is C++ only and thus won't have python tests run on its build
-  python tools/stats/export_test_times.py
-fi
-
-# snadampal: skipping it till sccache support added for aarch64
-# https://github.com/pytorch/pytorch/issues/121559
-if [[ "$BUILD_ENVIRONMENT" != *aarch64* &&  "$BUILD_ENVIRONMENT" != *s390x* ]]; then
-  print_sccache_stats
-fi

.ci/pytorch/common-build.sh

@@ -1,59 +0,0 @@
-#!/bin/bash
-# Required environment variables:
-#   $BUILD_ENVIRONMENT (should be set by your Docker image)
-
-if [[ "$BUILD_ENVIRONMENT" != *win-* ]]; then
-    # Save the absolute path in case later we chdir (as occurs in the gpu perf test)
-    script_dir="$( cd "$(dirname "${BASH_SOURCE[0]}")" || exit ; pwd -P )"
-
-    if which sccache > /dev/null; then
-        # Save sccache logs to file
-        sccache --stop-server > /dev/null  2>&1 || true
-        rm -f ~/sccache_error.log || true
-
-        function sccache_epilogue() {
-            echo "::group::Sccache Compilation Log"
-            echo '=================== sccache compilation log ==================='
-            python "$script_dir/print_sccache_log.py" ~/sccache_error.log 2>/dev/null || true
-            echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
-            sccache --show-stats
-            sccache --stop-server || true
-            echo "::endgroup::"
-        }
-
-        # Register the function here so that the error log can be printed even when
-        # sccache fails to start, i.e. timeout error
-        trap_add sccache_epilogue EXIT
-
-        if [[ -n "${SKIP_SCCACHE_INITIALIZATION:-}" ]]; then
-            # sccache --start-server seems to hang forever on self hosted runners for GHA
-            # so let's just go ahead and skip the --start-server altogether since it seems
-            # as though sccache still gets used even when the sscache server isn't started
-            # explicitly
-            echo "Skipping sccache server initialization, setting environment variables"
-            export SCCACHE_IDLE_TIMEOUT=0
-            export SCCACHE_ERROR_LOG=~/sccache_error.log
-            export RUST_LOG=sccache::server=error
-        elif [[ "${BUILD_ENVIRONMENT}" == *rocm* ]]; then
-            SCCACHE_ERROR_LOG=~/sccache_error.log SCCACHE_IDLE_TIMEOUT=0 sccache --start-server
-        else
-            # increasing SCCACHE_IDLE_TIMEOUT so that extension_backend_test.cpp can build after this PR:
-            # https://github.com/pytorch/pytorch/pull/16645
-            SCCACHE_ERROR_LOG=~/sccache_error.log SCCACHE_IDLE_TIMEOUT=0 RUST_LOG=sccache::server=error sccache --start-server
-        fi
-
-        # Report sccache stats for easier debugging. It's ok if this commands
-        # timeouts and fails on MacOS
-        sccache --zero-stats || true
-    fi
-
-    if which ccache > /dev/null; then
-        # Report ccache stats for easier debugging
-        ccache --zero-stats
-        ccache --show-stats
-        function ccache_epilogue() {
-            ccache --show-stats
-        }
-        trap_add ccache_epilogue EXIT
-    fi
-fi

.ci/pytorch/common.sh

@@ -1,24 +0,0 @@
-#!/bin/bash
-
-# Common setup for all Jenkins scripts
-# shellcheck source=./common_utils.sh
-source "$(dirname "${BASH_SOURCE[0]}")/common_utils.sh"
-set -ex
-
-# Required environment variables:
-#   $BUILD_ENVIRONMENT (should be set by your Docker image)
-
-# Figure out which Python to use for ROCm
-if [[ "${BUILD_ENVIRONMENT}" == *rocm* ]]; then
-  # HIP_PLATFORM is auto-detected by hipcc; unset to avoid build errors
-  unset HIP_PLATFORM
-  export PYTORCH_TEST_WITH_ROCM=1
-  # temporary to locate some kernel issues on the CI nodes
-  export HSAKMT_DEBUG_LEVEL=4
-  # improve rccl performance for distributed tests
-  export HSA_FORCE_FINE_GRAIN_PCIE=1
-fi
-
-# TODO: Renable libtorch testing for MacOS, see https://github.com/pytorch/pytorch/issues/62598
-# shellcheck disable=SC2034
-BUILD_TEST_LIBTORCH=0

.ci/pytorch/common_utils.sh

@@ -1,240 +0,0 @@
-#!/bin/bash
-
-# Common util **functions** that can be sourced in other scripts.
-
-# note: printf is used instead of echo to avoid backslash
-# processing and to properly handle values that begin with a '-'.
-
-log() { printf '%s\n' "$*"; }
-error() { log "ERROR: $*" >&2; }
-fatal() { error "$@"; exit 1; }
-
-retry () {
-    "$@" || (sleep 10 && "$@") || (sleep 20 && "$@") || (sleep 40 && "$@")
-}
-
-# compositional trap taken from https://stackoverflow.com/a/7287873/23845
-# appends a command to a trap
-#
-# - 1st arg:  code to add
-# - remaining args:  names of traps to modify
-#
-trap_add() {
-    trap_add_cmd=$1; shift || fatal "${FUNCNAME[0]} usage error"
-    for trap_add_name in "$@"; do
-        trap -- "$(
-            # helper fn to get existing trap command from output
-            # of trap -p
-            extract_trap_cmd() { printf '%s\n' "$3"; }
-            # print existing trap command with newline
-            eval "extract_trap_cmd $(trap -p "${trap_add_name}")"
-            # print the new trap command
-            printf '%s\n' "${trap_add_cmd}"
-        )" "${trap_add_name}" \
-            || fatal "unable to add to trap ${trap_add_name}"
-    done
-}
-# set the trace attribute for the above function.  this is
-# required to modify DEBUG or RETURN traps because functions don't
-# inherit them unless the trace attribute is set
-declare -f -t trap_add
-
-function assert_git_not_dirty() {
-    # TODO: we should add an option to `build_amd.py` that reverts the repo to
-    #       an unmodified state.
-    if [[ "$BUILD_ENVIRONMENT" != *rocm* ]] && [[ "$BUILD_ENVIRONMENT" != *xla* ]] ; then
-        git_status=$(git status --porcelain | grep -v '?? third_party' || true)
-        if [[ $git_status ]]; then
-            echo "Build left local git repository checkout dirty"
-            echo "git status --porcelain:"
-            echo "${git_status}"
-            exit 1
-        fi
-    fi
-}
-
-function pip_install_whl() {
-  # This is used to install PyTorch and other build artifacts wheel locally
-  # without using any network connection
-
-  # Convert the input arguments into an array
-  local args=("$@")
-
-  # Check if the first argument contains multiple paths separated by spaces
-  if [[ "${args[0]}" == *" "* ]]; then
-    # Split the string by spaces into an array
-    IFS=' ' read -r -a paths <<< "${args[0]}"
-    # Loop through each path and install individually
-    for path in "${paths[@]}"; do
-      echo "Installing $path"
-      python3 -mpip install --no-index --no-deps "$path"
-    done
-  else
-    # Loop through each argument and install individually
-    for path in "${args[@]}"; do
-      echo "Installing $path"
-      python3 -mpip install --no-index --no-deps "$path"
-    done
-  fi
-}
-
-
-function pip_install() {
-  # retry 3 times
-  # old versions of pip don't have the "--progress-bar" flag
-  pip install --progress-bar off "$@" || pip install --progress-bar off "$@" || pip install --progress-bar off "$@" ||\
-  pip install "$@" || pip install "$@" || pip install "$@"
-}
-
-function pip_uninstall() {
-  # uninstall 2 times
-  pip uninstall -y "$@" || pip uninstall -y "$@"
-}
-
-function get_exit_code() {
-  set +e
-  "$@"
-  retcode=$?
-  set -e
-  return $retcode
-}
-
-function get_bazel() {
-  # Download and use the cross-platform, dependency-free Python
-  # version of Bazelisk to fetch the platform specific version of
-  # Bazel to use from .bazelversion.
-  retry curl --location --output tools/bazel \
-    https://raw.githubusercontent.com/bazelbuild/bazelisk/v1.16.0/bazelisk.py
-  shasum --algorithm=1 --check \
-    <(echo 'd4369c3d293814d3188019c9f7527a948972d9f8  tools/bazel')
-  chmod u+x tools/bazel
-}
-
-# This function is bazel specific because of the bug
-# in the bazel that requires some special paths massaging
-# as a workaround. See
-# https://github.com/bazelbuild/bazel/issues/10167
-function install_sccache_nvcc_for_bazel() {
-  sudo mv /usr/local/cuda/bin/nvcc /usr/local/cuda/bin/nvcc-real
-
-  # Write the `/usr/local/cuda/bin/nvcc`
-  cat << EOF | sudo tee /usr/local/cuda/bin/nvcc
-#!/bin/sh
-if [ \$(env -u LD_PRELOAD ps -p \$PPID -o comm=) != sccache ]; then
-  exec sccache /usr/local/cuda/bin/nvcc "\$@"
-else
-  exec external/local_cuda/cuda/bin/nvcc-real "\$@"
-fi
-EOF
-
-  sudo chmod +x /usr/local/cuda/bin/nvcc
-}
-
-function install_monkeytype {
-  # Install MonkeyType
-  pip_install MonkeyType
-}
-
-
-function get_pinned_commit() {
-  cat .github/ci_commit_pins/"${1}".txt
-}
-
-function install_torchaudio() {
-  local commit
-  commit=$(get_pinned_commit audio)
-  if [[ "$1" == "cuda" ]]; then
-    # TODO: This is better to be passed as a parameter from _linux-test workflow
-    # so that it can be consistent with what is set in build
-    TORCH_CUDA_ARCH_LIST="8.0;8.6" pip_install --no-use-pep517 --user "git+https://github.com/pytorch/audio.git@${commit}"
-  else
-    pip_install --no-use-pep517 --user "git+https://github.com/pytorch/audio.git@${commit}"
-  fi
-
-}
-
-function install_torchtext() {
-  local data_commit
-  local text_commit
-  data_commit=$(get_pinned_commit data)
-  text_commit=$(get_pinned_commit text)
-  pip_install --no-use-pep517 --user "git+https://github.com/pytorch/data.git@${data_commit}"
-  pip_install --no-use-pep517 --user "git+https://github.com/pytorch/text.git@${text_commit}"
-}
-
-function install_torchvision() {
-  local orig_preload
-  local commit
-  commit=$(get_pinned_commit vision)
-  orig_preload=${LD_PRELOAD}
-  if [ -n "${LD_PRELOAD}" ]; then
-    # Silence dlerror to work-around glibc ASAN bug, see https://sourceware.org/bugzilla/show_bug.cgi?id=27653#c9
-    echo 'char* dlerror(void) { return "";}'|gcc -fpic -shared -o "${HOME}/dlerror.so" -x c -
-    LD_PRELOAD=${orig_preload}:${HOME}/dlerror.so
-  fi
-  pip_install --no-use-pep517 --user "git+https://github.com/pytorch/vision.git@${commit}"
-  if [ -n "${LD_PRELOAD}" ]; then
-    LD_PRELOAD=${orig_preload}
-  fi
-}
-
-function install_tlparse() {
-  pip_install --user "tlparse==0.3.25"
-  PATH="$(python -m site --user-base)/bin:$PATH"
-}
-
-function install_torchrec_and_fbgemm() {
-  local torchrec_commit
-  torchrec_commit=$(get_pinned_commit torchrec)
-  local fbgemm_commit
-  fbgemm_commit=$(get_pinned_commit fbgemm)
-  pip_uninstall torchrec-nightly
-  pip_uninstall fbgemm-gpu-nightly
-  pip_install setuptools-git-versioning scikit-build pyre-extensions
-  # See https://github.com/pytorch/pytorch/issues/106971
-  CUDA_PATH=/usr/local/cuda-12.1 pip_install --no-use-pep517 --user "git+https://github.com/pytorch/FBGEMM.git@${fbgemm_commit}#egg=fbgemm-gpu&subdirectory=fbgemm_gpu"
-  pip_install --no-use-pep517 --user "git+https://github.com/pytorch/torchrec.git@${torchrec_commit}"
-}
-
-function clone_pytorch_xla() {
-  if [[ ! -d ./xla ]]; then
-    git clone --recursive --quiet https://github.com/pytorch/xla.git
-    pushd xla
-    # pin the xla hash so that we don't get broken by changes to xla
-    git checkout "$(cat ../.github/ci_commit_pins/xla.txt)"
-    git submodule sync
-    git submodule update --init --recursive
-    popd
-  fi
-}
-
-function checkout_install_torchbench() {
-  local commit
-  commit=$(get_pinned_commit torchbench)
-  git clone https://github.com/pytorch/benchmark torchbench
-  pushd torchbench
-  git checkout "$commit"
-
-  if [ "$1" ]; then
-    python install.py --continue_on_fail models "$@"
-  else
-    # Occasionally the installation may fail on one model but it is ok to continue
-    # to install and test other models
-    python install.py --continue_on_fail
-  fi
-  echo "Print all dependencies after TorchBench is installed"
-  python -mpip freeze
-  popd
-}
-
-function print_sccache_stats() {
-  echo 'PyTorch Build Statistics'
-  sccache --show-stats
-
-  if [[ -n "${OUR_GITHUB_JOB_ID}" ]]; then
-    sccache --show-stats --stats-format json | jq .stats \
-      > "sccache-stats-${BUILD_ENVIRONMENT}-${OUR_GITHUB_JOB_ID}.json"
-  else
-    echo "env var OUR_GITHUB_JOB_ID not set, will not write sccache stats to json"
-  fi
-}

.ci/pytorch/create_test_cert.py

@@ -1,125 +0,0 @@
-from datetime import datetime, timedelta, timezone
-from tempfile import mkdtemp
-
-from cryptography import x509
-from cryptography.hazmat.primitives import hashes, serialization
-from cryptography.hazmat.primitives.asymmetric import rsa
-from cryptography.x509.oid import NameOID
-
-
-temp_dir = mkdtemp()
-print(temp_dir)
-
-
-def genrsa(path):
-    key = rsa.generate_private_key(
-        public_exponent=65537,
-        key_size=2048,
-    )
-    with open(path, "wb") as f:
-        f.write(
-            key.private_bytes(
-                encoding=serialization.Encoding.PEM,
-                format=serialization.PrivateFormat.TraditionalOpenSSL,
-                encryption_algorithm=serialization.NoEncryption(),
-            )
-        )
-    return key
-
-
-def create_cert(path, C, ST, L, O, key):
-    subject = issuer = x509.Name(
-        [
-            x509.NameAttribute(NameOID.COUNTRY_NAME, C),
-            x509.NameAttribute(NameOID.STATE_OR_PROVINCE_NAME, ST),
-            x509.NameAttribute(NameOID.LOCALITY_NAME, L),
-            x509.NameAttribute(NameOID.ORGANIZATION_NAME, O),
-        ]
-    )
-    cert = (
-        x509.CertificateBuilder()
-        .subject_name(subject)
-        .issuer_name(issuer)
-        .public_key(key.public_key())
-        .serial_number(x509.random_serial_number())
-        .not_valid_before(datetime.now(timezone.utc))
-        .not_valid_after(
-            # Our certificate will be valid for 10 days
-            datetime.now(timezone.utc)
-            + timedelta(days=10)
-        )
-        .add_extension(
-            x509.BasicConstraints(ca=True, path_length=None),
-            critical=True,
-        )
-        .sign(key, hashes.SHA256())
-    )
-    # Write our certificate out to disk.
-    with open(path, "wb") as f:
-        f.write(cert.public_bytes(serialization.Encoding.PEM))
-    return cert
-
-
-def create_req(path, C, ST, L, O, key):
-    csr = (
-        x509.CertificateSigningRequestBuilder()
-        .subject_name(
-            x509.Name(
-                [
-                    # Provide various details about who we are.
-                    x509.NameAttribute(NameOID.COUNTRY_NAME, C),
-                    x509.NameAttribute(NameOID.STATE_OR_PROVINCE_NAME, ST),
-                    x509.NameAttribute(NameOID.LOCALITY_NAME, L),
-                    x509.NameAttribute(NameOID.ORGANIZATION_NAME, O),
-                ]
-            )
-        )
-        .sign(key, hashes.SHA256())
-    )
-    with open(path, "wb") as f:
-        f.write(csr.public_bytes(serialization.Encoding.PEM))
-    return csr
-
-
-def sign_certificate_request(path, csr_cert, ca_cert, private_ca_key):
-    cert = (
-        x509.CertificateBuilder()
-        .subject_name(csr_cert.subject)
-        .issuer_name(ca_cert.subject)
-        .public_key(csr_cert.public_key())
-        .serial_number(x509.random_serial_number())
-        .not_valid_before(datetime.now(timezone.utc))
-        .not_valid_after(
-            # Our certificate will be valid for 10 days
-            datetime.now(timezone.utc)
-            + timedelta(days=10)
-            # Sign our certificate with our private key
-        )
-        .sign(private_ca_key, hashes.SHA256())
-    )
-    with open(path, "wb") as f:
-        f.write(cert.public_bytes(serialization.Encoding.PEM))
-    return cert
-
-
-ca_key = genrsa(temp_dir + "/ca.key")
-ca_cert = create_cert(
-    temp_dir + "/ca.pem",
-    "US",
-    "New York",
-    "New York",
-    "Gloo Certificate Authority",
-    ca_key,
-)
-
-pkey = genrsa(temp_dir + "/pkey.key")
-csr = create_req(
-    temp_dir + "/csr.csr",
-    "US",
-    "California",
-    "San Francisco",
-    "Gloo Testing Company",
-    pkey,
-)
-
-cert = sign_certificate_request(temp_dir + "/cert.pem", csr, ca_cert, ca_key)

.ci/pytorch/docker-build-test.sh

@@ -1,6 +0,0 @@
-#!/bin/bash
-
-# shellcheck source=./common.sh
-source "$(dirname "${BASH_SOURCE[0]}")/common.sh"
-
-docker build -t pytorch .

.ci/pytorch/docs-test.sh

@@ -1,9 +0,0 @@
-#!/bin/bash
-
-# shellcheck source=./common.sh
-source "$(dirname "${BASH_SOURCE[0]}")/common.sh"
-
-echo "Testing pytorch docs"
-
-cd docs
-TERM=vt100 make doctest

.ci/pytorch/functorch_doc_push_script.sh

@@ -1,40 +0,0 @@
-#!/bin/bash
-
-# This is where the local pytorch install in the docker image is located
-pt_checkout="/var/lib/jenkins/workspace"
-source "$pt_checkout/.ci/pytorch/common_utils.sh"
-echo "functorch_doc_push_script.sh: Invoked with $*"
-
-set -ex
-
-version=${DOCS_VERSION:-nightly}
-echo "version: $version"
-
-# Build functorch docs
-pushd $pt_checkout/functorch/docs
-make html
-popd
-
-git clone https://github.com/pytorch/functorch -b gh-pages --depth 1 functorch_ghpages
-pushd functorch_ghpages
-
-if [ "$version" == "main" ]; then
-  version=nightly
-fi
-
-git rm -rf "$version" || true
-mv "$pt_checkout/functorch/docs/build/html" "$version"
-
-git add "$version" || true
-git status
-git config user.email "soumith+bot@pytorch.org"
-git config user.name "pytorchbot"
-# If there aren't changes, don't make a commit; push is no-op
-git commit -m "Generate Python docs from pytorch/pytorch@${GITHUB_SHA}" || true
-git status
-
-if [[ "${WITH_PUSH:-}" == true ]]; then
-  git push -u origin gh-pages
-fi
-
-popd

.ci/pytorch/install_cache_xla.sh

@@ -1,37 +0,0 @@
-#!/bin/bash
-
-# Script for installing sccache on the xla build job, which uses xla's docker
-# image and doesn't have sccache installed on it.  This is mostly copied from
-# .ci/docker/install_cache.sh.  Changes are: removing checks that will always
-# return the same thing, ex checks for for rocm, CUDA, and changing the path
-# where sccache is installed, and not changing /etc/environment.
-
-set -ex
-
-install_binary() {
-  echo "Downloading sccache binary from S3 repo"
-  curl --retry 3 https://s3.amazonaws.com/ossci-linux/sccache -o /tmp/cache/bin/sccache
-}
-
-mkdir -p /tmp/cache/bin
-mkdir -p /tmp/cache/lib
-export PATH="/tmp/cache/bin:$PATH"
-
-install_binary
-chmod a+x /tmp/cache/bin/sccache
-
-function write_sccache_stub() {
-  # Unset LD_PRELOAD for ps because of asan + ps issues
-  # https://gcc.gnu.org/bugzilla/show_bug.cgi?id=90589
-  # shellcheck disable=SC2086
-  # shellcheck disable=SC2059
-  printf "#!/bin/sh\nif [ \$(env -u LD_PRELOAD ps -p \$PPID -o comm=) != sccache ]; then\n  exec sccache $(which $1) \"\$@\"\nelse\n  exec $(which $1) \"\$@\"\nfi" > "/tmp/cache/bin/$1"
-  chmod a+x "/tmp/cache/bin/$1"
-}
-
-write_sccache_stub cc
-write_sccache_stub c++
-write_sccache_stub gcc
-write_sccache_stub g++
-write_sccache_stub clang
-write_sccache_stub clang++

.ci/pytorch/macos-build.sh

@@ -1,92 +0,0 @@
-#!/bin/bash
-
-# shellcheck disable=SC2034
-# shellcheck source=./macos-common.sh
-source "$(dirname "${BASH_SOURCE[0]}")/macos-common.sh"
-# shellcheck source=./common-build.sh
-source "$(dirname "${BASH_SOURCE[0]}")/common-build.sh"
-
-# Build PyTorch
-if [ -z "${CI}" ]; then
-  export DEVELOPER_DIR=/Applications/Xcode9.app/Contents/Developer
-fi
-
-# This helper function wraps calls to binaries with sccache, but only if they're not already wrapped with sccache.
-# For example, `clang` will be `sccache clang`, but `sccache clang` will not become `sccache sccache clang`.
-# The way this is done is by detecting the command of the parent pid of the current process and checking whether
-# that is sccache, and wrapping sccache around the process if its parent were not already sccache.
-function write_sccache_stub() {
-  output=$1
-  binary=$(basename "${output}")
-
-  printf "#!/bin/sh\nif [ \$(ps auxc \$(ps auxc -o ppid \$\$ | grep \$\$ | rev | cut -d' ' -f1 | rev) | tr '\\\\n' ' ' | rev | cut -d' ' -f2 | rev) != sccache ]; then\n  exec sccache %s \"\$@\"\nelse\n  exec %s \"\$@\"\nfi" "$(which "${binary}")" "$(which "${binary}")" > "${output}"
-  chmod a+x "${output}"
-}
-
-if which sccache > /dev/null; then
-  # Create temp directory for sccache shims
-  tmp_dir=$(mktemp -d)
-  trap 'rm -rfv ${tmp_dir}' EXIT
-  write_sccache_stub "${tmp_dir}/clang++"
-  write_sccache_stub "${tmp_dir}/clang"
-
-  export PATH="${tmp_dir}:$PATH"
-fi
-
-cross_compile_arm64() {
-  # Cross compilation for arm64
-  # Explicitly set USE_DISTRIBUTED=0 to align with the default build config on mac. This also serves as the sole CI config that tests
-  # that building with USE_DISTRIBUTED=0 works at all. See https://github.com/pytorch/pytorch/issues/86448
-  USE_DISTRIBUTED=0 CMAKE_OSX_ARCHITECTURES=arm64 MACOSX_DEPLOYMENT_TARGET=11.0 USE_MKLDNN=OFF USE_QNNPACK=OFF WERROR=1 BUILD_TEST=OFF USE_PYTORCH_METAL=1 python setup.py bdist_wheel
-}
-
-compile_arm64() {
-  # Compilation for arm64
-  # TODO: Compile with OpenMP support (but this causes CI regressions as cross-compilation were done with OpenMP disabled)
-  USE_DISTRIBUTED=0 USE_OPENMP=1 MACOSX_DEPLOYMENT_TARGET=11.0 WERROR=1 BUILD_TEST=OFF USE_PYTORCH_METAL=1 python setup.py bdist_wheel
-}
-
-compile_x86_64() {
-  USE_DISTRIBUTED=0 WERROR=1 python setup.py bdist_wheel --plat-name=macosx_10_9_x86_64
-}
-
-build_lite_interpreter() {
-    echo "Testing libtorch (lite interpreter)."
-
-    CPP_BUILD="$(pwd)/../cpp_build"
-    # Ensure the removal of the tmp directory
-    trap 'rm -rfv ${CPP_BUILD}' EXIT
-    rm -rf "${CPP_BUILD}"
-    mkdir -p "${CPP_BUILD}/caffe2"
-
-    # It looks libtorch need to be built in "${CPP_BUILD}/caffe2 folder.
-    BUILD_LIBTORCH_PY=$PWD/tools/build_libtorch.py
-    pushd "${CPP_BUILD}/caffe2" || exit
-    VERBOSE=1 DEBUG=1 python "${BUILD_LIBTORCH_PY}"
-    popd || exit
-
-    "${CPP_BUILD}/caffe2/build/bin/test_lite_interpreter_runtime"
-}
-
-print_cmake_info
-
-if [[ ${BUILD_ENVIRONMENT} = *arm64* ]]; then
-  if [[ $(uname -m) == "arm64" ]]; then
-    compile_arm64
-  else
-    cross_compile_arm64
-  fi
-elif [[ ${BUILD_ENVIRONMENT} = *lite-interpreter* ]]; then
-  export BUILD_LITE_INTERPRETER=1
-  build_lite_interpreter
-else
-  compile_x86_64
-fi
-
-if which sccache > /dev/null; then
-  print_sccache_stats
-fi
-
-python tools/stats/export_test_times.py
-
-assert_git_not_dirty

.ci/pytorch/macos-common.sh

@@ -1,33 +0,0 @@
-#!/bin/bash
-
-# Common prelude for macos-build.sh and macos-test.sh
-
-# shellcheck source=./common.sh
-source "$(dirname "${BASH_SOURCE[0]}")/common.sh"
-
-sysctl -a | grep machdep.cpu
-
-# These are required for both the build job and the test job.
-# In the latter to test cpp extensions.
-export MACOSX_DEPLOYMENT_TARGET=11.1
-export CXX=clang++
-export CC=clang
-
-print_cmake_info() {
-  CMAKE_EXEC=$(which cmake)
-  echo "$CMAKE_EXEC"
-
-  CONDA_INSTALLATION_DIR=$(dirname "$CMAKE_EXEC")
-  # Print all libraries under cmake rpath for debugging
-  ls -la "$CONDA_INSTALLATION_DIR/../lib"
-
-  export CMAKE_EXEC
-  # Explicitly add conda env lib folder to cmake rpath to address the flaky issue
-  # where cmake dependencies couldn't be found. This seems to point to how conda
-  # links $CMAKE_EXEC to its package cache when cloning a new environment
-  install_name_tool -add_rpath @executable_path/../lib "${CMAKE_EXEC}" || true
-  # Adding the rpath will invalidate cmake signature, so signing it again here
-  # to trust the executable. EXC_BAD_ACCESS (SIGKILL (Code Signature Invalid))
-  # with an exit code 137 otherwise
-  codesign -f -s - "${CMAKE_EXEC}" || true
-}

.ci/pytorch/macos-test.sh

@@ -1,168 +0,0 @@
-#!/bin/bash
-
-# shellcheck disable=SC2034
-# shellcheck source=./macos-common.sh
-source "$(dirname "${BASH_SOURCE[0]}")/macos-common.sh"
-
-if [[ -n "$CONDA_ENV" ]]; then
-  # Use binaries under conda environment
-  export PATH="$CONDA_ENV/bin":$PATH
-fi
-
-# Test that OpenMP is enabled
-pushd test
-if [[ ! $(python -c "import torch; print(int(torch.backends.openmp.is_available()))") == "1" ]]; then
-  echo "Build should have OpenMP enabled, but torch.backends.openmp.is_available() is False"
-  exit 1
-fi
-popd
-
-setup_test_python() {
-  # The CircleCI worker hostname doesn't resolve to an address.
-  # This environment variable makes ProcessGroupGloo default to
-  # using the address associated with the loopback interface.
-  export GLOO_SOCKET_IFNAME=lo0
-  echo "Ninja version: $(ninja --version)"
-  echo "Python version: $(which python) ($(python --version))"
-
-  # Set the limit on open file handles to 16384
-  # might help with intermittent compiler test failures
-  ulimit -n 16384
-}
-
-test_python_all() {
-  setup_test_python
-
-  time python test/run_test.py --verbose --exclude-jit-executor
-
-  assert_git_not_dirty
-}
-
-test_python_shard() {
-  if [[ -z "$NUM_TEST_SHARDS" ]]; then
-    echo "NUM_TEST_SHARDS must be defined to run a Python test shard"
-    exit 1
-  fi
-
-  setup_test_python
-
-  time python test/run_test.py --verbose --exclude-jit-executor --exclude-distributed-tests --shard "$1" "$NUM_TEST_SHARDS"
-
-  assert_git_not_dirty
-}
-
-test_libtorch() {
-  # C++ API
-
-  if [[ "$BUILD_TEST_LIBTORCH" == "1" ]]; then
-    # NB: Install outside of source directory (at the same level as the root
-    # pytorch folder) so that it doesn't get cleaned away prior to docker push.
-    # But still clean it before we perform our own build.
-
-    echo "Testing libtorch"
-
-    CPP_BUILD="$PWD/../cpp-build"
-    rm -rf "$CPP_BUILD"
-    mkdir -p "$CPP_BUILD"/caffe2
-
-    BUILD_LIBTORCH_PY=$PWD/tools/build_libtorch.py
-    pushd "$CPP_BUILD"/caffe2
-    VERBOSE=1 DEBUG=1 python "$BUILD_LIBTORCH_PY"
-    popd
-
-    MNIST_DIR="${PWD}/test/cpp/api/mnist"
-    python tools/download_mnist.py --quiet -d "${MNIST_DIR}"
-
-    # Unfortunately it seems like the test can't load from miniconda3
-    # without these paths being set
-    export DYLD_LIBRARY_PATH="$DYLD_LIBRARY_PATH:$PWD/miniconda3/lib"
-    export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$PWD/miniconda3/lib"
-    TORCH_CPP_TEST_MNIST_PATH="${MNIST_DIR}" CPP_TESTS_DIR="${CPP_BUILD}/caffe2/bin" python test/run_test.py --cpp --verbose -i cpp/test_api
-
-    assert_git_not_dirty
-  fi
-}
-
-test_custom_backend() {
-  print_cmake_info
-
-  echo "Testing custom backends"
-  pushd test/custom_backend
-  rm -rf build && mkdir build
-  pushd build
-  SITE_PACKAGES="$(python -c 'from distutils.sysconfig import get_python_lib; print(get_python_lib())')"
-  CMAKE_PREFIX_PATH="$SITE_PACKAGES/torch" "${CMAKE_EXEC}" ..
-  make VERBOSE=1
-  popd
-
-  # Run Python tests and export a lowered module.
-  python test_custom_backend.py -v
-  python backend.py --export-module-to=model.pt
-  # Run C++ tests using the exported module.
-  build/test_custom_backend ./model.pt
-  rm -f ./model.pt
-  popd
-  assert_git_not_dirty
-}
-
-test_custom_script_ops() {
-  print_cmake_info
-
-  echo "Testing custom script operators"
-  pushd test/custom_operator
-  # Build the custom operator library.
-  rm -rf build && mkdir build
-  pushd build
-  SITE_PACKAGES="$(python -c 'from distutils.sysconfig import get_python_lib; print(get_python_lib())')"
-  CMAKE_PREFIX_PATH="$SITE_PACKAGES/torch" "${CMAKE_EXEC}" ..
-  make VERBOSE=1
-  popd
-
-  # Run tests Python-side and export a script module.
-  python test_custom_ops.py -v
-  python model.py --export-script-module=model.pt
-  # Run tests C++-side and load the exported script module.
-  build/test_custom_ops ./model.pt
-  popd
-  assert_git_not_dirty
-}
-
-test_jit_hooks() {
-  print_cmake_info
-
-  echo "Testing jit hooks in cpp"
-  pushd test/jit_hooks
-  # Build the custom operator library.
-  rm -rf build && mkdir build
-  pushd build
-  SITE_PACKAGES="$(python -c 'from distutils.sysconfig import get_python_lib; print(get_python_lib())')"
-  CMAKE_PREFIX_PATH="$SITE_PACKAGES/torch" "${CMAKE_EXEC}" ..
-  make VERBOSE=1
-  popd
-
-  # Run tests Python-side and export a script module.
-  python model.py --export-script-module=model
-  # Run tests C++-side and load the exported script module.
-  build/test_jit_hooks ./model
-  popd
-  assert_git_not_dirty
-}
-
-install_tlparse
-
-if [[ $NUM_TEST_SHARDS -gt 1 ]]; then
-  test_python_shard "${SHARD_NUMBER}"
-  if [[ "${SHARD_NUMBER}" == 1 ]]; then
-    test_libtorch
-    test_custom_script_ops
-  elif [[ "${SHARD_NUMBER}" == 2 ]]; then
-    test_jit_hooks
-    test_custom_backend
-  fi
-else
-  test_python_all
-  test_libtorch
-  test_custom_script_ops
-  test_jit_hooks
-  test_custom_backend
-fi

.ci/pytorch/multigpu-test.sh

@@ -1,62 +0,0 @@
-#!/bin/bash
-
-# Required environment variable: $BUILD_ENVIRONMENT
-# (This is set by default in the Docker images we build, so you don't
-# need to set it yourself.
-
-# shellcheck source=./common.sh
-source "$(dirname "${BASH_SOURCE[0]}")/common.sh"
-
-echo "Testing pytorch"
-time python test/run_test.py --include test_cuda_multigpu test_cuda_primary_ctx --verbose
-
-# Disabling tests to see if they solve timeout issues; see https://github.com/pytorch/pytorch/issues/70015
-# python tools/download_mnist.py --quiet -d test/cpp/api/mnist
-# OMP_NUM_THREADS=2 TORCH_CPP_TEST_MNIST_PATH="test/cpp/api/mnist" build/bin/test_api
-time python test/run_test.py --verbose -i distributed/test_c10d_common
-time python test/run_test.py --verbose -i distributed/test_c10d_gloo
-time python test/run_test.py --verbose -i distributed/test_c10d_nccl
-time python test/run_test.py --verbose -i distributed/test_c10d_spawn_gloo
-time python test/run_test.py --verbose -i distributed/test_c10d_spawn_nccl
-time python test/run_test.py --verbose -i distributed/test_compute_comm_reordering
-time python test/run_test.py --verbose -i distributed/test_store
-time python test/run_test.py --verbose -i distributed/test_symmetric_memory
-time python test/run_test.py --verbose -i distributed/test_pg_wrapper
-time python test/run_test.py --verbose -i distributed/rpc/cuda/test_tensorpipe_agent
-# FSDP tests
-for f in test/distributed/fsdp/*.py ; do time python test/run_test.py --verbose -i "${f#*/}" ; done
-# ShardedTensor tests
-time python test/run_test.py --verbose -i distributed/checkpoint/test_checkpoint
-time python test/run_test.py --verbose -i distributed/checkpoint/test_file_system_checkpoint
-time python test/run_test.py --verbose -i distributed/_shard/sharding_spec/test_sharding_spec
-time python test/run_test.py --verbose -i distributed/_shard/sharding_plan/test_sharding_plan
-time python test/run_test.py --verbose -i distributed/_shard/sharded_tensor/test_sharded_tensor
-time python test/run_test.py --verbose -i distributed/_shard/sharded_tensor/test_sharded_tensor_reshard
-
-# functional collective tests
-time python test/run_test.py --verbose -i distributed/test_functional_api
-
-# DTensor tests
-time python test/run_test.py --verbose -i distributed/_tensor/test_random_ops
-time python test/run_test.py --verbose -i distributed/_tensor/test_dtensor_compile
-
-# DeviceMesh test
-time python test/run_test.py --verbose -i distributed/test_device_mesh
-
-# DTensor/TP tests
-time python test/run_test.py --verbose -i distributed/tensor/parallel/test_tp_examples
-time python test/run_test.py --verbose -i distributed/tensor/parallel/test_tp_random_state
-
-# FSDP2 tests
-time python test/run_test.py --verbose -i distributed/_composable/fsdp/test_fully_shard_training -- -k test_2d_mlp_with_nd_mesh
-
-# ND composability tests
-time python test/run_test.py --verbose -i distributed/_composable/test_composability/test_2d_composability
-time python test/run_test.py --verbose -i distributed/_composable/test_composability/test_pp_composability
-
-# Other tests
-time python test/run_test.py --verbose -i test_cuda_primary_ctx
-time python test/run_test.py --verbose -i test_optim -- -k test_forloop_goes_right_direction_multigpu
-time python test/run_test.py --verbose -i test_optim -- -k test_mixed_device_dtype
-time python test/run_test.py --verbose -i test_foreach -- -k test_tensors_grouping
-assert_git_not_dirty

.ci/pytorch/perf_test/compare_with_baseline.py

@@ -1,91 +0,0 @@
-import argparse
-import json
-import math
-import sys
-
-
-parser = argparse.ArgumentParser()
-parser.add_argument(
-    "--test-name", dest="test_name", action="store", required=True, help="test name"
-)
-parser.add_argument(
-    "--sample-stats",
-    dest="sample_stats",
-    action="store",
-    required=True,
-    help="stats from sample",
-)
-parser.add_argument(
-    "--update",
-    action="store_true",
-    help="whether to update baseline using stats from sample",
-)
-args = parser.parse_args()
-
-test_name = args.test_name
-
-if "cpu" in test_name:
-    backend = "cpu"
-elif "gpu" in test_name:
-    backend = "gpu"
-
-data_file_path = f"../{backend}_runtime.json"
-
-with open(data_file_path) as data_file:
-    data = json.load(data_file)
-
-if test_name in data:
-    mean = float(data[test_name]["mean"])
-    sigma = float(data[test_name]["sigma"])
-else:
-    # Let the test pass if baseline number doesn't exist
-    mean = sys.maxsize
-    sigma = 0.001
-
-print("population mean: ", mean)
-print("population sigma: ", sigma)
-
-# Let the test pass if baseline number is NaN (which happened in
-# the past when we didn't have logic for catching NaN numbers)
-if math.isnan(mean) or math.isnan(sigma):
-    mean = sys.maxsize
-    sigma = 0.001
-
-sample_stats_data = json.loads(args.sample_stats)
-
-sample_mean = float(sample_stats_data["mean"])
-sample_sigma = float(sample_stats_data["sigma"])
-
-print("sample mean: ", sample_mean)
-print("sample sigma: ", sample_sigma)
-
-if math.isnan(sample_mean):
-    raise Exception("""Error: sample mean is NaN""")  # noqa: TRY002
-elif math.isnan(sample_sigma):
-    raise Exception("""Error: sample sigma is NaN""")  # noqa: TRY002
-
-z_value = (sample_mean - mean) / sigma
-
-print("z-value: ", z_value)
-
-if z_value >= 3:
-    raise Exception(  # noqa: TRY002
-        f"""\n
-z-value >= 3, there is high chance of perf regression.\n
-To reproduce this regression, run
-`cd .ci/pytorch/perf_test/ && bash {test_name}.sh` on your local machine
-and compare the runtime before/after your code change.
-"""
-    )
-else:
-    print("z-value < 3, no perf regression detected.")
-    if args.update:
-        print("We will use these numbers as new baseline.")
-        new_data_file_path = f"../new_{backend}_runtime.json"
-        with open(new_data_file_path) as new_data_file:
-            new_data = json.load(new_data_file)
-        new_data[test_name] = {}
-        new_data[test_name]["mean"] = sample_mean
-        new_data[test_name]["sigma"] = max(sample_sigma, sample_mean * 0.1)
-        with open(new_data_file_path, "w") as new_data_file:
-            json.dump(new_data, new_data_file, indent=4)