Speed up fx graph iteration by implementing it in C++

ghstack-source-id: af7493f6f73baf00e30a6d5790a601729bd9c900
Pull Request resolved: https://github.com/pytorch/pytorch/pull/128288

.bazelversion

@@ -1 +1 @@
-6.5.0
+6.1.1

.buckconfig.oss

@@ -0,0 +1,26 @@
+[pt]
+  is_oss=1
+
+[buildfile]
+  name = BUCK.oss
+  includes = //tools/build_defs/select.bzl
+
+[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/aarch64_linux/README.md

@@ -1,19 +0,0 @@
-# Aarch64 (ARM/Graviton) Support Scripts
-Scripts for building aarch64 PyTorch PIP Wheels. These scripts build the following wheels:
-* torch
-* torchvision
-* torchaudio
-* torchtext
-* torchdata
-## Aarch64_ci_build.sh
-This script is design to support CD operations within PyPi manylinux aarch64 container, and be executed in the container. It prepares the container and then executes __aarch64_wheel_ci_build.py__ to build the wheels. The script "assumes" the PyTorch repo is located at: ```/pytorch``` and will put the wheels into ```/artifacts```.
-### Usage
-```DESIRED_PYTHON=<PythonVersion> aarch64_ci_build.sh```
-
-__NOTE:__ CI build is currently __EXPERMINTAL__
-
-## Build_aarch64_wheel.py
-This app allows a person to build using AWS EC3 resources and requires AWS-CLI and Boto3 with AWS credentials to support building EC2 instances for the wheel builds. Can be used in a codebuild CD or from a local system.
-
-### Usage
-```build_aarch64_wheel.py --key-name <YourPemKey> --use-docker --python 3.8 --branch <RCtag>```

.ci/aarch64_linux/aarch64_ci_build.sh

@@ -1,32 +0,0 @@
-#!/bin/bash
-set -eux -o pipefail
-
-GPU_ARCH_VERSION=${GPU_ARCH_VERSION:-}
-
-if [[ "$GPU_ARCH_VERSION" == *"12.6"* ]]; then
-    export TORCH_CUDA_ARCH_LIST="9.0"
-elif [[ "$GPU_ARCH_VERSION" == *"12.8"* ]]; then
-    export TORCH_CUDA_ARCH_LIST="9.0;10.0;12.0"
-fi
-
-SCRIPTPATH="$( cd -- "$(dirname "$0")" >/dev/null 2>&1 ; pwd -P )"
-source $SCRIPTPATH/aarch64_ci_setup.sh
-
-###############################################################################
-# Run aarch64 builder python
-###############################################################################
-cd /
-# adding safe directory for git as the permissions will be
-# on the mounted pytorch repo
-git config --global --add safe.directory /pytorch
-pip install -r /pytorch/requirements.txt
-pip install auditwheel==6.2.0
-if [ "$DESIRED_CUDA" = "cpu" ]; then
-    echo "BASE_CUDA_VERSION is not set. Building cpu wheel."
-    #USE_PRIORITIZED_TEXT_FOR_LD for enable linker script optimization https://github.com/pytorch/pytorch/pull/121975/files
-    USE_PRIORITIZED_TEXT_FOR_LD=1 python /pytorch/.ci/aarch64_linux/aarch64_wheel_ci_build.py --enable-mkldnn
-else
-    echo "BASE_CUDA_VERSION is set to: $DESIRED_CUDA"
-    #USE_PRIORITIZED_TEXT_FOR_LD for enable linker script optimization https://github.com/pytorch/pytorch/pull/121975/files
-    USE_PRIORITIZED_TEXT_FOR_LD=1 python /pytorch/.ci/aarch64_linux/aarch64_wheel_ci_build.py --enable-mkldnn --enable-cuda
-fi

.ci/aarch64_linux/aarch64_ci_setup.sh

@@ -1,21 +0,0 @@
-#!/bin/bash
-set -eux -o pipefail
-
-# This script is used to prepare the Docker container for aarch64_ci_wheel_build.py python script
-# By creating symlinks from desired /opt/python to /usr/local/bin/
-
-NUMPY_VERSION=2.0.2
-if [[ "$DESIRED_PYTHON"  == "3.13" || "$DESIRED_PYTHON" == "3.13t" ]]; then
-    NUMPY_VERSION=2.1.2
-fi
-
-SCRIPTPATH="$( cd "$(dirname "$0")" ; pwd -P )"
-source $SCRIPTPATH/../manywheel/set_desired_python.sh
-
-pip install -q numpy==${NUMPY_VERSION} pyyaml==6.0.2 scons==4.7.0 ninja==1.11.1 patchelf==0.17.2
-
-for tool in python python3 pip pip3 ninja scons patchelf; do
-    ln -sf ${DESIRED_PYTHON_BIN_DIR}/${tool} /usr/local/bin;
-done
-
-python --version

.ci/aarch64_linux/aarch64_wheel_ci_build.py

@@ -1,259 +0,0 @@
-#!/usr/bin/env python3
-# encoding: UTF-8
-
-import os
-import shutil
-from subprocess import check_call, check_output
-
-
-def list_dir(path: str) -> list[str]:
-    """'
-    Helper for getting paths for Python
-    """
-    return check_output(["ls", "-1", path]).decode().split("\n")
-
-
-def build_ArmComputeLibrary() -> None:
-    """
-    Using ArmComputeLibrary for aarch64 PyTorch
-    """
-    print("Building Arm Compute Library")
-    acl_build_flags = [
-        "debug=0",
-        "neon=1",
-        "opencl=0",
-        "os=linux",
-        "openmp=1",
-        "cppthreads=0",
-        "arch=armv8a",
-        "multi_isa=1",
-        "fixed_format_kernels=1",
-        "build=native",
-    ]
-    acl_install_dir = "/acl"
-    acl_checkout_dir = os.getenv("ACL_SOURCE_DIR", "ComputeLibrary")
-    if os.path.isdir(acl_install_dir):
-        shutil.rmtree(acl_install_dir)
-    if not os.path.isdir(acl_checkout_dir) or not len(os.listdir(acl_checkout_dir)):
-        check_call(
-            [
-                "git",
-                "clone",
-                "https://github.com/ARM-software/ComputeLibrary.git",
-                "-b",
-                "v25.02",
-                "--depth",
-                "1",
-                "--shallow-submodules",
-            ]
-        )
-
-    check_call(
-        ["scons", "Werror=1", f"-j{os.cpu_count()}"] + acl_build_flags,
-        cwd=acl_checkout_dir,
-    )
-    for d in ["arm_compute", "include", "utils", "support", "src", "build"]:
-        shutil.copytree(f"{acl_checkout_dir}/{d}", f"{acl_install_dir}/{d}")
-
-
-def replace_tag(filename) -> None:
-    with open(filename) as f:
-        lines = f.readlines()
-    for i, line in enumerate(lines):
-        if line.startswith("Tag:"):
-            lines[i] = line.replace("-linux_", "-manylinux_2_28_")
-            print(f"Updated tag from {line} to {lines[i]}")
-            break
-
-    with open(filename, "w") as f:
-        f.writelines(lines)
-
-
-def package_cuda_wheel(wheel_path, desired_cuda) -> None:
-    """
-    Package the cuda wheel libraries
-    """
-    folder = os.path.dirname(wheel_path)
-    wheelname = os.path.basename(wheel_path)
-    os.mkdir(f"{folder}/tmp")
-    os.system(f"unzip {wheel_path} -d {folder}/tmp")
-    libs_to_copy = [
-        "/usr/local/cuda/extras/CUPTI/lib64/libcupti.so.12",
-        "/usr/local/cuda/lib64/libcudnn.so.9",
-        "/usr/local/cuda/lib64/libcublas.so.12",
-        "/usr/local/cuda/lib64/libcublasLt.so.12",
-        "/usr/local/cuda/lib64/libcudart.so.12",
-        "/usr/local/cuda/lib64/libcufft.so.11",
-        "/usr/local/cuda/lib64/libcusparse.so.12",
-        "/usr/local/cuda/lib64/libcusparseLt.so.0",
-        "/usr/local/cuda/lib64/libcusolver.so.11",
-        "/usr/local/cuda/lib64/libcurand.so.10",
-        "/usr/local/cuda/lib64/libnvToolsExt.so.1",
-        "/usr/local/cuda/lib64/libnvJitLink.so.12",
-        "/usr/local/cuda/lib64/libnvrtc.so.12",
-        "/usr/local/cuda/lib64/libcudnn_adv.so.9",
-        "/usr/local/cuda/lib64/libcudnn_cnn.so.9",
-        "/usr/local/cuda/lib64/libcudnn_graph.so.9",
-        "/usr/local/cuda/lib64/libcudnn_ops.so.9",
-        "/usr/local/cuda/lib64/libcudnn_engines_runtime_compiled.so.9",
-        "/usr/local/cuda/lib64/libcudnn_engines_precompiled.so.9",
-        "/usr/local/cuda/lib64/libcudnn_heuristic.so.9",
-        "/lib64/libgomp.so.1",
-        "/usr/lib64/libgfortran.so.5",
-        "/acl/build/libarm_compute.so",
-        "/acl/build/libarm_compute_graph.so",
-        "/usr/local/lib/libnvpl_lapack_lp64_gomp.so.0",
-        "/usr/local/lib/libnvpl_blas_lp64_gomp.so.0",
-        "/usr/local/lib/libnvpl_lapack_core.so.0",
-        "/usr/local/lib/libnvpl_blas_core.so.0",
-    ]
-
-    if "128" in desired_cuda:
-        libs_to_copy += [
-            "/usr/local/cuda/lib64/libnvrtc-builtins.so.12.8",
-            "/usr/local/cuda/lib64/libcufile.so.0",
-            "/usr/local/cuda/lib64/libcufile_rdma.so.1",
-        ]
-
-    # Copy libraries to unzipped_folder/a/lib
-    for lib_path in libs_to_copy:
-        lib_name = os.path.basename(lib_path)
-        shutil.copy2(lib_path, f"{folder}/tmp/torch/lib/{lib_name}")
-        os.system(
-            f"cd {folder}/tmp/torch/lib/; "
-            f"patchelf --set-rpath '$ORIGIN' --force-rpath {folder}/tmp/torch/lib/{lib_name}"
-        )
-
-    # Make sure the wheel is tagged with manylinux_2_28
-    for f in os.scandir(f"{folder}/tmp/"):
-        if f.is_dir() and f.name.endswith(".dist-info"):
-            replace_tag(f"{f.path}/WHEEL")
-            break
-
-    os.mkdir(f"{folder}/cuda_wheel")
-    os.system(f"cd {folder}/tmp/; zip -r {folder}/cuda_wheel/{wheelname} *")
-    shutil.move(
-        f"{folder}/cuda_wheel/{wheelname}",
-        f"{folder}/{wheelname}",
-        copy_function=shutil.copy2,
-    )
-    os.system(f"rm -rf {folder}/tmp/ {folder}/cuda_wheel/")
-
-
-def complete_wheel(folder: str) -> str:
-    """
-    Complete wheel build and put in artifact location
-    """
-    wheel_name = list_dir(f"/{folder}/dist")[0]
-
-    # Please note for cuda we don't run auditwheel since we use custom script to package
-    # the cuda dependencies to the wheel file using update_wheel() method.
-    # However we need to make sure filename reflects the correct Manylinux platform.
-    if "pytorch" in folder and not enable_cuda:
-        print("Repairing Wheel with AuditWheel")
-        check_call(["auditwheel", "repair", f"dist/{wheel_name}"], cwd=folder)
-        repaired_wheel_name = list_dir(f"/{folder}/wheelhouse")[0]
-
-        print(f"Moving {repaired_wheel_name} wheel to /{folder}/dist")
-        os.rename(
-            f"/{folder}/wheelhouse/{repaired_wheel_name}",
-            f"/{folder}/dist/{repaired_wheel_name}",
-        )
-    else:
-        repaired_wheel_name = wheel_name.replace(
-            "linux_aarch64", "manylinux_2_28_aarch64"
-        )
-        print(f"Renaming {wheel_name} wheel to {repaired_wheel_name}")
-        os.rename(
-            f"/{folder}/dist/{wheel_name}",
-            f"/{folder}/dist/{repaired_wheel_name}",
-        )
-
-    print(f"Copying {repaired_wheel_name} to artifacts")
-    shutil.copy2(
-        f"/{folder}/dist/{repaired_wheel_name}", f"/artifacts/{repaired_wheel_name}"
-    )
-
-    return repaired_wheel_name
-
-
-def parse_arguments():
-    """
-    Parse inline arguments
-    """
-    from argparse import ArgumentParser
-
-    parser = ArgumentParser("AARCH64 wheels python CD")
-    parser.add_argument("--debug", action="store_true")
-    parser.add_argument("--build-only", action="store_true")
-    parser.add_argument("--test-only", type=str)
-    parser.add_argument("--enable-mkldnn", action="store_true")
-    parser.add_argument("--enable-cuda", action="store_true")
-    return parser.parse_args()
-
-
-if __name__ == "__main__":
-    """
-    Entry Point
-    """
-    args = parse_arguments()
-    enable_mkldnn = args.enable_mkldnn
-    enable_cuda = args.enable_cuda
-    branch = check_output(
-        ["git", "rev-parse", "--abbrev-ref", "HEAD"], cwd="/pytorch"
-    ).decode()
-
-    print("Building PyTorch wheel")
-    build_vars = "CMAKE_SHARED_LINKER_FLAGS=-Wl,-z,max-page-size=0x10000 "
-    # MAX_JOB=5 is not required for CPU backend (see commit 465d98b)
-    if enable_cuda:
-        build_vars = "MAX_JOBS=5 " + build_vars
-
-    override_package_version = os.getenv("OVERRIDE_PACKAGE_VERSION")
-    desired_cuda = os.getenv("DESIRED_CUDA")
-    if override_package_version is not None:
-        version = override_package_version
-        build_vars += (
-            f"BUILD_TEST=0 PYTORCH_BUILD_VERSION={version} PYTORCH_BUILD_NUMBER=1 "
-        )
-    elif branch in ["nightly", "main"]:
-        build_date = (
-            check_output(["git", "log", "--pretty=format:%cs", "-1"], cwd="/pytorch")
-            .decode()
-            .replace("-", "")
-        )
-        version = (
-            check_output(["cat", "version.txt"], cwd="/pytorch").decode().strip()[:-2]
-        )
-        if enable_cuda:
-            build_vars += f"BUILD_TEST=0 PYTORCH_BUILD_VERSION={version}.dev{build_date}+{desired_cuda} PYTORCH_BUILD_NUMBER=1 "
-        else:
-            build_vars += f"BUILD_TEST=0 PYTORCH_BUILD_VERSION={version}.dev{build_date} PYTORCH_BUILD_NUMBER=1 "
-    elif branch.startswith(("v1.", "v2.")):
-        build_vars += f"BUILD_TEST=0 PYTORCH_BUILD_VERSION={branch[1 : branch.find('-')]} PYTORCH_BUILD_NUMBER=1 "
-
-    if enable_mkldnn:
-        build_ArmComputeLibrary()
-        print("build pytorch with mkldnn+acl backend")
-        build_vars += (
-            "USE_MKLDNN=ON USE_MKLDNN_ACL=ON "
-            "ACL_ROOT_DIR=/acl "
-            "LD_LIBRARY_PATH=/pytorch/build/lib:/acl/build:$LD_LIBRARY_PATH "
-            "ACL_INCLUDE_DIR=/acl/build "
-            "ACL_LIBRARY=/acl/build "
-        )
-        if enable_cuda:
-            build_vars += "BLAS=NVPL "
-        else:
-            build_vars += "BLAS=OpenBLAS OpenBLAS_HOME=/OpenBLAS "
-    else:
-        print("build pytorch without mkldnn backend")
-
-    os.system(f"cd /pytorch; {build_vars} python3 setup.py bdist_wheel")
-    if enable_cuda:
-        print("Updating Cuda Dependency")
-        filename = os.listdir("/pytorch/dist/")
-        wheel_path = f"/pytorch/dist/{filename[0]}"
-        package_cuda_wheel(wheel_path, desired_cuda)
-    pytorch_wheel_name = complete_wheel("/pytorch/")
-    print(f"Build Complete. Created {pytorch_wheel_name}..")

.ci/aarch64_linux/embed_library.py

@@ -1,87 +0,0 @@
-#!/usr/bin/env python3
-
-import os
-import shutil
-import sys
-from subprocess import check_call
-from tempfile import TemporaryDirectory
-
-from auditwheel.elfutils import elf_file_filter
-from auditwheel.lddtree import lddtree
-from auditwheel.patcher import Patchelf
-from auditwheel.repair import copylib
-from auditwheel.wheeltools import InWheelCtx
-
-
-def replace_tag(filename):
-    with open(filename) as f:
-        lines = f.read().split("\\n")
-    for i, line in enumerate(lines):
-        if not line.startswith("Tag: "):
-            continue
-        lines[i] = line.replace("-linux_", "-manylinux2014_")
-        print(f"Updated tag from {line} to {lines[i]}")
-
-    with open(filename, "w") as f:
-        f.write("\\n".join(lines))
-
-
-class AlignedPatchelf(Patchelf):
-    def set_soname(self, file_name: str, new_soname: str) -> None:
-        check_call(
-            ["patchelf", "--page-size", "65536", "--set-soname", new_soname, file_name]
-        )
-
-    def replace_needed(self, file_name: str, soname: str, new_soname: str) -> None:
-        check_call(
-            [
-                "patchelf",
-                "--page-size",
-                "65536",
-                "--replace-needed",
-                soname,
-                new_soname,
-                file_name,
-            ]
-        )
-
-
-def embed_library(whl_path, lib_soname, update_tag=False):
-    patcher = AlignedPatchelf()
-    out_dir = TemporaryDirectory()
-    whl_name = os.path.basename(whl_path)
-    tmp_whl_name = os.path.join(out_dir.name, whl_name)
-    with InWheelCtx(whl_path) as ctx:
-        torchlib_path = os.path.join(ctx._tmpdir.name, "torch", "lib")
-        ctx.out_wheel = tmp_whl_name
-        new_lib_path, new_lib_soname = None, None
-        for filename, _ in elf_file_filter(ctx.iter_files()):
-            if not filename.startswith("torch/lib"):
-                continue
-            libtree = lddtree(filename)
-            if lib_soname not in libtree["needed"]:
-                continue
-            lib_path = libtree["libs"][lib_soname]["path"]
-            if lib_path is None:
-                print(f"Can't embed {lib_soname} as it could not be found")
-                break
-            if lib_path.startswith(torchlib_path):
-                continue
-
-            if new_lib_path is None:
-                new_lib_soname, new_lib_path = copylib(lib_path, torchlib_path, patcher)
-            patcher.replace_needed(filename, lib_soname, new_lib_soname)
-            print(f"Replacing {lib_soname} with {new_lib_soname} for {filename}")
-        if update_tag:
-            # Add manylinux2014 tag
-            for filename in ctx.iter_files():
-                if os.path.basename(filename) != "WHEEL":
-                    continue
-                replace_tag(filename)
-    shutil.move(tmp_whl_name, whl_path)
-
-
-if __name__ == "__main__":
-    embed_library(
-        sys.argv[1], "libgomp.so.1", len(sys.argv) > 2 and sys.argv[2] == "--update-tag"
-    )

.ci/caffe2/README.md

@@ -10,3 +10,5 @@ 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/caffe2/test.sh

@@ -13,6 +13,10 @@ 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

.ci/docker/README.md

@@ -1,4 +1,4 @@
-# Docker images for GitHub CI and CD
+# Docker images for GitHub CI
 
 This directory contains everything needed to build the Docker images
 that are used in our CI.
@@ -12,7 +12,7 @@ each image as the `BUILD_ENVIRONMENT` environment variable.
 
 See `build.sh` for valid build environments (it's the giant switch).
 
-## Docker CI builds
+## Contents
 
 * `build.sh` -- dispatch script to launch all builds
 * `common` -- scripts used to execute individual Docker build stages
@@ -21,12 +21,6 @@ See `build.sh` for valid build environments (it's the giant switch).
 * `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
@@ -34,5 +28,5 @@ See `build.sh` for valid build environments (it's the giant switch).
 ./build.sh pytorch-linux-bionic-py3.8-gcc9 -t myimage:latest
 
 # Set flags (see build.sh) and build image
-sudo bash -c 'TRITON=1 ./build.sh pytorch-linux-bionic-py3.8-gcc9 -t myimage:latest
+sudo bash -c 'PROTOBUF=1 ./build.sh pytorch-linux-bionic-py3.8-gcc9 -t myimage:latest
 ```

.ci/docker/almalinux/Dockerfile

@@ -1,101 +0,0 @@
-ARG CUDA_VERSION=12.4
-ARG BASE_TARGET=cuda${CUDA_VERSION}
-ARG ROCM_IMAGE=rocm/dev-almalinux-8:6.3-complete
-FROM amd64/almalinux:8.10-20250519 as base
-
-ENV LC_ALL en_US.UTF-8
-ENV LANG en_US.UTF-8
-ENV LANGUAGE en_US.UTF-8
-
-ARG DEVTOOLSET_VERSION=11
-
-RUN yum -y update
-RUN yum -y install epel-release
-# install glibc-langpack-en make sure en_US.UTF-8 locale is available
-RUN yum -y install glibc-langpack-en
-RUN yum install -y sudo wget curl perl util-linux xz bzip2 git patch which perl zlib-devel openssl-devel yum-utils autoconf automake make gcc-toolset-${DEVTOOLSET_VERSION}-toolchain
-# 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 '*'
-ENV PATH=/opt/rh/gcc-toolset-${DEVTOOLSET_VERSION}/root/usr/bin:$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
-RUN rm -rf /usr/local/cuda-*
-
-FROM base as openssl
-ADD ./common/install_openssl.sh install_openssl.sh
-RUN bash ./install_openssl.sh && rm install_openssl.sh
-
-FROM base as patchelf
-# Install patchelf
-ADD ./common/install_patchelf.sh install_patchelf.sh
-RUN bash ./install_patchelf.sh && rm install_patchelf.sh && cp $(which patchelf) /patchelf
-
-FROM base as conda
-# Install Anaconda
-ADD ./common/install_conda_docker.sh install_conda.sh
-RUN bash ./install_conda.sh && rm install_conda.sh
-
-# Install CUDA
-FROM base as cuda
-ARG CUDA_VERSION=12.6
-RUN rm -rf /usr/local/cuda-*
-ADD ./common/install_cuda.sh install_cuda.sh
-COPY ./common/install_nccl.sh install_nccl.sh
-COPY ./ci_commit_pins/nccl-cu* /ci_commit_pins/
-COPY ./common/install_cusparselt.sh install_cusparselt.sh
-ENV CUDA_HOME=/usr/local/cuda-${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 cuda12.6
-RUN bash ./install_cuda.sh 12.6
-ENV DESIRED_CUDA=12.6
-
-FROM cuda as cuda12.8
-RUN bash ./install_cuda.sh 12.8
-ENV DESIRED_CUDA=12.8
-
-FROM ${ROCM_IMAGE} as rocm
-ENV PYTORCH_ROCM_ARCH="gfx900;gfx906;gfx908;gfx90a;gfx942;gfx1030;gfx1100;gfx1101;gfx1102;gfx1200;gfx1201"
-ADD ./common/install_mkl.sh install_mkl.sh
-RUN bash ./install_mkl.sh && rm install_mkl.sh
-ENV MKLROOT /opt/intel
-
-# 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=cuda12.6  /usr/local/cuda-12.6 /usr/local/cuda-12.6
-COPY --from=cuda12.4  /usr/local/cuda-12.8 /usr/local/cuda-12.8
-
-# 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
-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
-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/almalinux/build.sh

@@ -1,70 +0,0 @@
-#!/usr/bin/env bash
-# Script used only in CD pipeline
-
-set -exou pipefail
-
-image="$1"
-shift
-
-if [ -z "${image}" ]; then
-  echo "Usage: $0 IMAGENAME:ARCHTAG"
-  exit 1
-fi
-
-# Go from imagename:tag to tag
-DOCKER_TAG_PREFIX=$(echo "${image}" | awk -F':' '{print $2}')
-
-CUDA_VERSION=""
-ROCM_VERSION=""
-EXTRA_BUILD_ARGS=""
-if [[ "${DOCKER_TAG_PREFIX}" == cuda* ]]; then
-    # extract cuda version from image name and tag.  e.g. manylinux2_28-builder:cuda12.8 returns 12.8
-    CUDA_VERSION=$(echo "${DOCKER_TAG_PREFIX}" | awk -F'cuda' '{print $2}')
-    EXTRA_BUILD_ARGS="--build-arg CUDA_VERSION=${CUDA_VERSION}"
-elif [[ "${DOCKER_TAG_PREFIX}" == rocm* ]]; then
-    # extract rocm version from image name and tag.  e.g. manylinux2_28-builder:rocm6.2.4 returns 6.2.4
-    ROCM_VERSION=$(echo "${DOCKER_TAG_PREFIX}" | awk -F'rocm' '{print $2}')
-    EXTRA_BUILD_ARGS="--build-arg ROCM_IMAGE=rocm/dev-almalinux-8:${ROCM_VERSION}-complete"
-fi
-
-case ${DOCKER_TAG_PREFIX} in
-  cpu)
-    BASE_TARGET=base
-    ;;
-  cuda*)
-    BASE_TARGET=cuda${CUDA_VERSION}
-    ;;
-  rocm*)
-    BASE_TARGET=rocm
-    ;;
-  *)
-    echo "ERROR: Unknown docker tag ${DOCKER_TAG_PREFIX}"
-    exit 1
-    ;;
-esac
-
-# TODO: Remove LimitNOFILE=1048576 patch once https://github.com/pytorch/test-infra/issues/5712
-# is resolved. This patch is required in order to fix timing out of Docker build on Amazon Linux 2023.
-sudo sed -i s/LimitNOFILE=infinity/LimitNOFILE=1048576/ /usr/lib/systemd/system/docker.service
-sudo systemctl daemon-reload
-sudo systemctl restart docker
-
-export DOCKER_BUILDKIT=1
-TOPDIR=$(git rev-parse --show-toplevel)
-tmp_tag=$(basename "$(mktemp -u)" | tr '[:upper:]' '[:lower:]')
-
-docker build \
-  --target final \
-  --progress plain \
-  --build-arg "BASE_TARGET=${BASE_TARGET}" \
-  --build-arg "DEVTOOLSET_VERSION=11" \
-  ${EXTRA_BUILD_ARGS} \
-  -t ${tmp_tag} \
-  $@ \
-  -f "${TOPDIR}/.ci/docker/almalinux/Dockerfile" \
-  ${TOPDIR}/.ci/docker/
-
-if [ -n "${CUDA_VERSION}" ]; then
-  # Test that we're using the right CUDA compiler
-  docker run --rm "${tmp_tag}" nvcc --version | grep "cuda_${CUDA_VERSION}"
-fi

.ci/docker/android/AndroidManifest.xml

@@ -0,0 +1 @@
+<manifest package="org.pytorch.deps" />

.ci/docker/android/build.gradle

@@ -0,0 +1,66 @@
+buildscript {
+    ext {
+        minSdkVersion = 21
+        targetSdkVersion = 28
+        compileSdkVersion = 28
+        buildToolsVersion = '28.0.3'
+
+        coreVersion = "1.2.0"
+        extJUnitVersion = "1.1.1"
+        runnerVersion = "1.2.0"
+        rulesVersion = "1.2.0"
+        junitVersion = "4.12"
+    }
+
+    repositories {
+        google()
+        mavenLocal()
+        mavenCentral()
+        jcenter()
+    }
+
+    dependencies {
+        classpath 'com.android.tools.build:gradle:4.1.2'
+        classpath 'com.vanniktech:gradle-maven-publish-plugin:0.14.2'
+    }
+}
+
+repositories {
+    google()
+    jcenter()
+}
+
+apply plugin: 'com.android.library'
+
+android {
+    compileSdkVersion rootProject.compileSdkVersion
+    buildToolsVersion rootProject.buildToolsVersion
+
+    defaultConfig {
+        minSdkVersion minSdkVersion
+        targetSdkVersion targetSdkVersion
+    }
+
+    sourceSets {
+        main {
+            manifest.srcFile 'AndroidManifest.xml'
+        }
+    }
+}
+
+dependencies {
+    implementation 'com.android.support:appcompat-v7:28.0.0'
+    implementation 'androidx.appcompat:appcompat:1.0.0'
+    implementation 'com.facebook.fbjni:fbjni-java-only:0.2.2'
+    implementation 'com.google.code.findbugs:jsr305:3.0.1'
+    implementation 'com.facebook.soloader:nativeloader:0.10.5'
+
+    implementation 'junit:junit:' + rootProject.junitVersion
+    implementation 'androidx.test:core:' + rootProject.coreVersion
+
+    implementation 'junit:junit:' + rootProject.junitVersion
+    implementation 'androidx.test:core:' + rootProject.coreVersion
+    implementation 'androidx.test.ext:junit:' + rootProject.extJUnitVersion
+    implementation 'androidx.test:rules:' + rootProject.rulesVersion
+    implementation 'androidx.test:runner:' + rootProject.runnerVersion
+}

.ci/docker/build.sh

@@ -1,8 +1,4 @@
 #!/bin/bash
-# The purpose of this script is to:
-# 1. Extract the set of parameters to be used for a docker build based on the provided image name.
-# 2. Run docker build with the parameters found in step 1.
-# 3. Run the built image and print out the expected and actual versions of packages installed.
 
 set -ex
 
@@ -85,86 +81,101 @@ elif [[ "$image" == *linter* ]]; then
   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
-if [[ "$image" == *rocm* ]]; then
-  _UCX_COMMIT=cc312eaa4655c0cc5c2bcd796db938f90563bcf6
-  _UCC_COMMIT=0c0fc21559835044ab107199e334f7157d6a0d3d
-fi
-
-tag=$(echo $image | awk -F':' '{print $2}')
 
 # 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 "$tag" in
-  pytorch-linux-focal-cuda12.6-cudnn9-py3-gcc11)
-    CUDA_VERSION=12.6.3
-    CUDNN_VERSION=9
-    ANACONDA_PYTHON_VERSION=3.10
-    GCC_VERSION=11
-    VISION=yes
-    KATEX=yes
-    UCX_COMMIT=${_UCX_COMMIT}
-    UCC_COMMIT=${_UCC_COMMIT}
-    TRITON=yes
-    ;;
-  pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks)
-    CUDA_VERSION=12.8
+case "$image" in
+  pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9)
+    CUDA_VERSION=12.4.0
     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-cuda12.1-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=12.4.0
+    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
     INDUCTOR_BENCHMARKS=yes
     ;;
-  pytorch-linux-focal-cuda12.6-cudnn9-py3-gcc9)
-    CUDA_VERSION=12.6.3
-    CUDNN_VERSION=9
-    ANACONDA_PYTHON_VERSION=3.10
-    GCC_VERSION=9
-    VISION=yes
-    KATEX=yes
-    UCX_COMMIT=${_UCX_COMMIT}
-    UCC_COMMIT=${_UCC_COMMIT}
-    TRITON=yes
-    ;;
-  pytorch-linux-jammy-cuda12.6-cudnn9-py3-gcc9-inductor-benchmarks)
-    CUDA_VERSION=12.6
+  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-jammy-cuda12.6-cudnn9-py3.12-gcc9-inductor-benchmarks)
-    CUDA_VERSION=12.6
+  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-jammy-cuda12.6-cudnn9-py3.13-gcc9-inductor-benchmarks)
-    CUDA_VERSION=12.6
+  pytorch-linux-focal-cuda12.4-cudnn9-py3.12-gcc9-inductor-benchmarks)
+    CUDA_VERSION=12.4.0
     CUDNN_VERSION=9
-    ANACONDA_PYTHON_VERSION=3.13
+    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
     ;;
@@ -173,114 +184,185 @@ case "$tag" in
     CUDNN_VERSION=9
     ANACONDA_PYTHON_VERSION=3.10
     GCC_VERSION=9
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
     KATEX=yes
     UCX_COMMIT=${_UCX_COMMIT}
     UCC_COMMIT=${_UCC_COMMIT}
+    CONDA_CMAKE=yes
+    TRITON=yes
+    ;;
+  pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9)
+    CUDA_VERSION=12.4.0
+    CUDNN_VERSION=9
+    ANACONDA_PYTHON_VERSION=3.10
+    GCC_VERSION=9
+    PROTOBUF=yes
+    DB=yes
+    VISION=yes
+    KATEX=yes
+    UCX_COMMIT=${_UCX_COMMIT}
+    UCC_COMMIT=${_UCC_COMMIT}
+    CONDA_CMAKE=yes
+    TRITON=yes
+    ;;
+  pytorch-linux-focal-cuda12.1-cudnn9-py3-gcc9)
+    CUDA_VERSION=12.1.1
+    CUDNN_VERSION=9
+    ANACONDA_PYTHON_VERSION=3.10
+    GCC_VERSION=9
+    PROTOBUF=yes
+    DB=yes
+    VISION=yes
+    KATEX=yes
+    UCX_COMMIT=${_UCX_COMMIT}
+    UCC_COMMIT=${_UCC_COMMIT}
+    CONDA_CMAKE=yes
+    TRITON=yes
+    ;;
+  pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9)
+    CUDA_VERSION=12.4.0
+    CUDNN_VERSION=9
+    ANACONDA_PYTHON_VERSION=3.10
+    GCC_VERSION=9
+    PROTOBUF=yes
+    DB=yes
+    VISION=yes
+    KATEX=yes
+    UCX_COMMIT=${_UCX_COMMIT}
+    UCC_COMMIT=${_UCC_COMMIT}
+    CONDA_CMAKE=yes
     TRITON=yes
     ;;
   pytorch-linux-focal-py3-clang10-onnx)
-    ANACONDA_PYTHON_VERSION=3.9
+    ANACONDA_PYTHON_VERSION=3.8
     CLANG_VERSION=10
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
+    CONDA_CMAKE=yes
     ONNX=yes
     ;;
-  pytorch-linux-focal-py3.9-clang10)
-    ANACONDA_PYTHON_VERSION=3.9
+  pytorch-linux-focal-py3-clang9-android-ndk-r21e)
+    ANACONDA_PYTHON_VERSION=3.8
+    CLANG_VERSION=9
+    LLVMDEV=yes
+    PROTOBUF=yes
+    ANDROID=yes
+    ANDROID_NDK_VERSION=r21e
+    GRADLE_VERSION=6.8.3
+    NINJA_VERSION=1.9.0
+    ;;
+  pytorch-linux-focal-py3.8-clang10)
+    ANACONDA_PYTHON_VERSION=3.8
     CLANG_VERSION=10
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
+    VULKAN_SDK_VERSION=1.2.162.1
+    SWIFTSHADER=yes
+    CONDA_CMAKE=yes
     TRITON=yes
     ;;
   pytorch-linux-focal-py3.11-clang10)
     ANACONDA_PYTHON_VERSION=3.11
     CLANG_VERSION=10
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
+    VULKAN_SDK_VERSION=1.2.162.1
+    SWIFTSHADER=yes
+    CONDA_CMAKE=yes
     TRITON=yes
     ;;
-  pytorch-linux-focal-py3.9-gcc9)
-    ANACONDA_PYTHON_VERSION=3.9
+  pytorch-linux-focal-py3.8-gcc9)
+    ANACONDA_PYTHON_VERSION=3.8
     GCC_VERSION=9
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
+    CONDA_CMAKE=yes
     TRITON=yes
     ;;
-  pytorch-linux-jammy-rocm-n-1-py3)
-    ANACONDA_PYTHON_VERSION=3.10
-    GCC_VERSION=11
+  pytorch-linux-focal-rocm-n-1-py3)
+    ANACONDA_PYTHON_VERSION=3.8
+    GCC_VERSION=9
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
-    ROCM_VERSION=6.3
+    ROCM_VERSION=6.0
     NINJA_VERSION=1.9.0
+    CONDA_CMAKE=yes
     TRITON=yes
-    KATEX=yes
-    UCX_COMMIT=${_UCX_COMMIT}
-    UCC_COMMIT=${_UCC_COMMIT}
-    INDUCTOR_BENCHMARKS=yes
     ;;
-  pytorch-linux-jammy-rocm-n-py3)
-    ANACONDA_PYTHON_VERSION=3.10
-    GCC_VERSION=11
+  pytorch-linux-focal-rocm-n-py3)
+    ANACONDA_PYTHON_VERSION=3.8
+    GCC_VERSION=9
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
-    ROCM_VERSION=6.4
+    ROCM_VERSION=6.1
     NINJA_VERSION=1.9.0
+    CONDA_CMAKE=yes
     TRITON=yes
-    KATEX=yes
-    UCX_COMMIT=${_UCX_COMMIT}
-    UCC_COMMIT=${_UCC_COMMIT}
-    INDUCTOR_BENCHMARKS=yes
     ;;
-  pytorch-linux-jammy-xpu-2025.0-py3)
-    ANACONDA_PYTHON_VERSION=3.9
+  pytorch-linux-jammy-xpu-2024.0-py3)
+    ANACONDA_PYTHON_VERSION=3.8
     GCC_VERSION=11
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
-    XPU_VERSION=2025.0
+    XPU_VERSION=0.5
     NINJA_VERSION=1.9.0
+    CONDA_CMAKE=yes
     TRITON=yes
     ;;
-  pytorch-linux-jammy-xpu-2025.1-py3)
-    ANACONDA_PYTHON_VERSION=3.9
-    GCC_VERSION=11
-    VISION=yes
-    XPU_VERSION=2025.1
-    NINJA_VERSION=1.9.0
-    TRITON=yes
-    ;;
-    pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks)
-    ANACONDA_PYTHON_VERSION=3.9
+    pytorch-linux-jammy-py3.8-gcc11-inductor-benchmarks)
+    ANACONDA_PYTHON_VERSION=3.8
     GCC_VERSION=11
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
     KATEX=yes
+    CONDA_CMAKE=yes
     TRITON=yes
     DOCS=yes
     INDUCTOR_BENCHMARKS=yes
     ;;
-  pytorch-linux-jammy-cuda11.8-cudnn9-py3.9-clang12)
-    ANACONDA_PYTHON_VERSION=3.9
+  pytorch-linux-jammy-cuda11.8-cudnn9-py3.8-clang12)
+    ANACONDA_PYTHON_VERSION=3.8
     CUDA_VERSION=11.8
     CUDNN_VERSION=9
     CLANG_VERSION=12
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
     TRITON=yes
     ;;
   pytorch-linux-jammy-py3-clang12-asan)
     ANACONDA_PYTHON_VERSION=3.9
     CLANG_VERSION=12
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
+    CONDA_CMAKE=yes
     TRITON=yes
     ;;
   pytorch-linux-jammy-py3-clang15-asan)
     ANACONDA_PYTHON_VERSION=3.10
     CLANG_VERSION=15
+    CONDA_CMAKE=yes
     VISION=yes
     ;;
-  pytorch-linux-jammy-py3-clang18-asan)
-    ANACONDA_PYTHON_VERSION=3.10
-    CLANG_VERSION=18
-    VISION=yes
-    ;;
-  pytorch-linux-jammy-py3.9-gcc11)
-    ANACONDA_PYTHON_VERSION=3.9
+  pytorch-linux-jammy-py3.8-gcc11)
+    ANACONDA_PYTHON_VERSION=3.8
     GCC_VERSION=11
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
     KATEX=yes
+    CONDA_CMAKE=yes
     TRITON=yes
     DOCS=yes
     UNINSTALL_DILL=yes
@@ -288,52 +370,40 @@ case "$tag" in
   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=12.6
-    ANACONDA_PYTHON_VERSION=3.12
-    GCC_VERSION=11
-    HALIDE=yes
-    TRITON=yes
-    ;;
-  pytorch-linux-jammy-py3.12-triton-cpu)
-    CUDA_VERSION=12.6
-    ANACONDA_PYTHON_VERSION=3.12
-    GCC_VERSION=11
-    TRITON_CPU=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
-    PYTHON_VERSION=3.9
+    ANACONDA_PYTHON_VERSION=3.9
+    CONDA_CMAKE=yes
     ;;
   pytorch-linux-jammy-cuda11.8-cudnn9-py3.9-linter)
-    PYTHON_VERSION=3.9
+    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
-    VISION=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
@@ -349,7 +419,8 @@ case "$tag" in
       TRITON=yes
       # To ensure that any ROCm config will build using conda cmake
       # and thus have LAPACK/MKL enabled
-      fi
+      CONDA_CMAKE=yes
+    fi
     if [[ "$image" == *centos7* ]]; then
       NINJA_VERSION=1.10.2
     fi
@@ -365,6 +436,9 @@ case "$tag" in
     if [[ "$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
 
@@ -378,20 +452,14 @@ if [[ "$image" == *cuda*  && ${OS} == "ubuntu" ]]; then
   fi
 fi
 
-no_cache_flag=""
-progress_flag=""
-# Do not use cache and progress=plain when in CI
-if [[ -n "${CI:-}" ]]; then
-  no_cache_flag="--no-cache"
-  progress_flag="--progress=plain"
-fi
-
 # Build image
 docker build \
-       ${no_cache_flag} \
-       ${progress_flag} \
+       --no-cache \
+       --progress=plain \
        --build-arg "BUILD_ENVIRONMENT=${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}" \
@@ -399,28 +467,30 @@ docker build \
        --build-arg "GLIBC_VERSION=${GLIBC_VERSION}" \
        --build-arg "CLANG_VERSION=${CLANG_VERSION}" \
        --build-arg "ANACONDA_PYTHON_VERSION=${ANACONDA_PYTHON_VERSION}" \
-       --build-arg "PYTHON_VERSION=${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:-gfx90a;gfx942}" \
+       --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 "TRITON_CPU=${TRITON_CPU}" \
        --build-arg "ONNX=${ONNX}" \
        --build-arg "DOCS=${DOCS}" \
        --build-arg "INDUCTOR_BENCHMARKS=${INDUCTOR_BENCHMARKS}" \
        --build-arg "EXECUTORCH=${EXECUTORCH}" \
-       --build-arg "HALIDE=${HALIDE}" \
        --build-arg "XPU_VERSION=${XPU_VERSION}" \
-       --build-arg "UNINSTALL_DILL=${UNINSTALL_DILL}" \
        --build-arg "ACL=${ACL:-}" \
        --build-arg "SKIP_SCCACHE_INSTALL=${SKIP_SCCACHE_INSTALL:-}" \
        --build-arg "SKIP_LLVM_SRC_BUILD_INSTALL=${SKIP_LLVM_SRC_BUILD_INSTALL:-}" \
@@ -438,7 +508,7 @@ docker build \
 UBUNTU_VERSION=$(echo ${UBUNTU_VERSION} | sed 's/-rc$//')
 
 function drun() {
-  docker run --rm "$tmp_tag" "$@"
+  docker run --rm "$tmp_tag" $*
 }
 
 if [[ "$OS" == "ubuntu" ]]; then
@@ -486,23 +556,3 @@ if [ -n "$KATEX" ]; then
     exit 1
   fi
 fi
-
-HAS_TRITON=$(drun python -c "import triton" > /dev/null 2>&1 && echo "yes" || echo "no")
-if [[ -n "$TRITON" || -n "$TRITON_CPU" ]]; then
-  if [ "$HAS_TRITON" = "no" ]; then
-    echo "expecting triton to be installed, but it is not"
-    exit 1
-  fi
-elif [ "$HAS_TRITON" = "yes" ]; then
-  echo "expecting triton to not be installed, but it is"
-  exit 1
-fi
-
-# Sanity check cmake version.  Executorch reinstalls cmake and I'm not sure if
-# they support 4.0.0 yet, so exclude them from this check.
-CMAKE_VERSION=$(drun cmake --version)
-if [[ "$EXECUTORCH" != *yes* && "$CMAKE_VERSION" != *4.* ]]; then
-  echo "CMake version is not 4.0.0:"
-  drun cmake --version
-  exit 1
-fi

.ci/docker/centos-rocm/Dockerfile

@@ -17,8 +17,9 @@ 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.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 -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
@@ -39,6 +40,7 @@ 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
@@ -46,6 +48,20 @@ 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 ./
@@ -59,7 +75,7 @@ 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 ${ROCM_VERSION}
+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
@@ -73,6 +89,12 @@ 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 "${CMAKE_VERSION}" ]; then bash ./install_cmake.sh; fi
+RUN rm install_cmake.sh
+
 # (optional) Install non-default Ninja version
 ARG NINJA_VERSION
 COPY ./common/install_ninja.sh install_ninja.sh
@@ -86,16 +108,23 @@ ENV CMAKE_C_COMPILER cc
 ENV CMAKE_CXX_COMPILER c++
 COPY ./common/install_triton.sh install_triton.sh
 COPY ./common/common_utils.sh common_utils.sh
-COPY ci_commit_pins/triton.txt triton.txt
+COPY ci_commit_pins/triton-rocm.txt triton-rocm.txt
 COPY triton_version.txt triton_version.txt
 RUN if [ -n "${TRITON}" ]; then bash ./install_triton.sh; fi
-RUN rm install_triton.sh common_utils.sh triton.txt triton_version.txt
+RUN rm install_triton.sh common_utils.sh triton-rocm.txt triton_version.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
 RUN bash ./install_cache.sh && rm install_cache.sh
 
+# Install AOTriton
+COPY ci_commit_pins/aotriton.txt aotriton.txt
+COPY ./common/common_utils.sh common_utils.sh
+COPY ./common/install_aotriton.sh install_aotriton.sh
+RUN bash ./install_aotriton.sh /opt/rocm/aotriton && rm -rf install_aotriton.sh aotriton aotriton.txt common_utils.sh
+ENV AOTRITON_INSTALLED_PREFIX /opt/rocm/aotriton
+
 # Include BUILD_ENVIRONMENT environment variable in image
 ARG BUILD_ENVIRONMENT
 ENV BUILD_ENVIRONMENT ${BUILD_ENVIRONMENT}

.ci/docker/ci_commit_pins/aotriton.txt

@@ -0,0 +1 @@
+24a3fe9cb57e5cda3c923df29743f9767194cc27

.ci/docker/ci_commit_pins/executorch.txt

@@ -1 +1 @@
-b173722085b3f555d6ba4533d6bbaddfd7c71144
+d4b3e5cc607e97afdba79dc90f8ef968142f347c

.ci/docker/ci_commit_pins/halide.txt

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

.ci/docker/ci_commit_pins/nccl-cu11.txt

@@ -1 +0,0 @@
-v2.21.5-1

.ci/docker/ci_commit_pins/nccl-cu12.txt

@@ -1 +0,0 @@
-v2.26.5-1

.ci/docker/ci_commit_pins/timm.txt

@@ -1 +1 @@
-5d535d7a2d4b435b1b5c1177fd8f04a12b942b9a
+730b907b4d45a4713cbc425cbf224c46089fd514

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

@@ -1 +0,0 @@
-c7711371cace304afe265c1ffa906415ab82fc66

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

@@ -0,0 +1 @@
+01cbe5045a6898c9a925f01435c8277b2fe6afcc

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

@@ -1 +1 @@
-b0e26b7359c147b8aa0af686c20510fb9b15990a
+b8c64f64c18d8cac598b3adb355c21e7439c21de

.ci/docker/ci_commit_pins/triton.txt

@@ -1 +1 @@
-c8757738a7418249896224430ce84888e8ecdd79
+45fff310c891f5a92d55445adf8cc9d29df5841e

.ci/docker/common/install_acl.sh

@@ -1,7 +1,7 @@
 set -euo pipefail
 
-readonly version=v25.02
-readonly src_host=https://github.com/ARM-software
+readonly version=v24.04
+readonly src_host=https://review.mlplatform.org/ml
 readonly src_repo=ComputeLibrary
 
 # Clone ACL

.ci/docker/common/install_android.sh

@@ -0,0 +1,112 @@
+#!/bin/bash
+
+set -ex
+
+[ -n "${ANDROID_NDK}" ]
+
+_https_amazon_aws=https://ossci-android.s3.amazonaws.com
+
+apt-get update
+apt-get install -y --no-install-recommends autotools-dev autoconf unzip
+apt-get autoclean && apt-get clean
+rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
+
+pushd /tmp
+curl -Os --retry 3 $_https_amazon_aws/android-ndk-${ANDROID_NDK}-linux-x86_64.zip
+popd
+_ndk_dir=/opt/ndk
+mkdir -p "$_ndk_dir"
+unzip -qo /tmp/android*.zip -d "$_ndk_dir"
+_versioned_dir=$(find "$_ndk_dir/" -mindepth 1 -maxdepth 1 -type d)
+mv "$_versioned_dir"/* "$_ndk_dir"/
+rmdir "$_versioned_dir"
+rm -rf /tmp/*
+
+# Install OpenJDK
+# https://hub.docker.com/r/picoded/ubuntu-openjdk-8-jdk/dockerfile/
+
+sudo apt-get update && \
+    apt-get install -y openjdk-8-jdk && \
+    apt-get install -y ant && \
+    apt-get clean && \
+    rm -rf /var/lib/apt/lists/* && \
+    rm -rf /var/cache/oracle-jdk8-installer;
+
+# Fix certificate issues, found as of
+# https://bugs.launchpad.net/ubuntu/+source/ca-certificates-java/+bug/983302
+
+sudo apt-get update && \
+    apt-get install -y ca-certificates-java && \
+    apt-get clean && \
+    update-ca-certificates -f && \
+    rm -rf /var/lib/apt/lists/* && \
+    rm -rf /var/cache/oracle-jdk8-installer;
+
+export JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64/
+
+# Installing android sdk
+# https://github.com/circleci/circleci-images/blob/staging/android/Dockerfile.m4
+
+_tmp_sdk_zip=/tmp/android-sdk-linux.zip
+_android_home=/opt/android/sdk
+
+rm -rf $_android_home
+sudo mkdir -p $_android_home
+curl --silent --show-error --location --fail --retry 3 --output /tmp/android-sdk-linux.zip $_https_amazon_aws/android-sdk-linux-tools3859397-build-tools2803-2902-platforms28-29.zip
+sudo unzip -q $_tmp_sdk_zip -d $_android_home
+rm $_tmp_sdk_zip
+
+sudo chmod -R 777 $_android_home
+
+export ANDROID_HOME=$_android_home
+export ADB_INSTALL_TIMEOUT=120
+
+export PATH="${ANDROID_HOME}/tools:${ANDROID_HOME}/tools/bin:${ANDROID_HOME}/platform-tools:${PATH}"
+echo "PATH:${PATH}"
+
+# Installing Gradle
+echo "GRADLE_VERSION:${GRADLE_VERSION}"
+_gradle_home=/opt/gradle
+sudo rm -rf $gradle_home
+sudo mkdir -p $_gradle_home
+
+curl --silent --output /tmp/gradle.zip --retry 3 $_https_amazon_aws/gradle-${GRADLE_VERSION}-bin.zip
+
+sudo unzip -q /tmp/gradle.zip -d $_gradle_home
+rm /tmp/gradle.zip
+
+sudo chmod -R 777 $_gradle_home
+
+export GRADLE_HOME=$_gradle_home/gradle-$GRADLE_VERSION
+alias gradle="${GRADLE_HOME}/bin/gradle"
+
+export PATH="${GRADLE_HOME}/bin/:${PATH}"
+echo "PATH:${PATH}"
+
+gradle --version
+
+mkdir /var/lib/jenkins/gradledeps
+cp build.gradle /var/lib/jenkins/gradledeps
+cp AndroidManifest.xml /var/lib/jenkins/gradledeps
+
+pushd /var/lib/jenkins
+
+export GRADLE_LOCAL_PROPERTIES=gradledeps/local.properties
+rm -f $GRADLE_LOCAL_PROPERTIES
+echo "sdk.dir=/opt/android/sdk" >> $GRADLE_LOCAL_PROPERTIES
+echo "ndk.dir=/opt/ndk" >> $GRADLE_LOCAL_PROPERTIES
+
+chown -R jenkins /var/lib/jenkins/gradledeps
+chgrp -R jenkins /var/lib/jenkins/gradledeps
+
+sudo -H -u jenkins $GRADLE_HOME/bin/gradle -Pandroid.useAndroidX=true -p /var/lib/jenkins/gradledeps -g /var/lib/jenkins/.gradle --refresh-dependencies --debug --stacktrace assemble
+
+chown -R jenkins /var/lib/jenkins/.gradle
+chgrp -R jenkins /var/lib/jenkins/.gradle
+
+popd
+
+rm -rf /var/lib/jenkins/.gradle/daemon
+
+# Cache vision models used by the test
+source "$(dirname "${BASH_SOURCE[0]}")/cache_vision_models.sh"

.ci/docker/common/install_aotriton.sh

@@ -0,0 +1,24 @@
+#!/bin/bash
+
+set -ex
+
+source "$(dirname "${BASH_SOURCE[0]}")/common_utils.sh"
+
+AOTRITON_DIR="aotriton"
+AOTRITON_PINNED_NAME="aotriton" # No .txt extension
+AOTRITON_PINNED_COMMIT=$(get_pinned_commit ${AOTRITON_PINNED_NAME})
+AOTRITON_INSTALL_PREFIX="$1"
+
+git clone https://github.com/ROCm/aotriton.git "${AOTRITON_DIR}"
+cd "${AOTRITON_DIR}"
+git checkout "${AOTRITON_PINNED_COMMIT}"
+git submodule sync --recursive
+git submodule update --init --recursive --force --depth 1
+mkdir build
+cd build
+cmake .. -G Ninja -DCMAKE_INSTALL_PREFIX=./install_dir -DCMAKE_BUILD_TYPE=Release -DAOTRITON_COMPRESS_KERNEL=OFF -DAOTRITON_NO_PYTHON=ON -DAOTRITON_NO_SHARED=ON
+ninja install
+mkdir -p "${AOTRITON_INSTALL_PREFIX}"
+cp -r install_dir/* "${AOTRITON_INSTALL_PREFIX}"
+find /tmp/ -mindepth 1 -delete
+rm -rf ~/.triton

.ci/docker/common/install_base.sh

@@ -32,12 +32,8 @@ install_ubuntu() {
 
   # 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
-  # TODO: Eliminate this hack, we should not relay on apt-get installation
-  # See https://github.com/pytorch/pytorch/issues/144768
   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"
-  elif [[ "$UBUNTU_VERSION" == "20.04"* && "$CUDA_VERSION" == "12.4"* ]]; then
-    maybe_libnccl_dev="libnccl2=2.26.2-1+cuda12.4 libnccl-dev=2.26.2-1+cuda12.4 --allow-downgrades --allow-change-held-packages"
   else
     maybe_libnccl_dev=""
   fi
@@ -80,8 +76,7 @@ install_ubuntu() {
     vim \
     unzip \
     gpg-agent \
-    gdb \
-    bc
+    gdb
 
   # Should resolve issues related to various apt package repository cert issues
   # see: https://github.com/pytorch/pytorch/issues/65931
@@ -99,6 +94,9 @@ install_centos() {
 
   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 \

.ci/docker/common/install_cache.sh

@@ -9,7 +9,7 @@ install_ubuntu() {
   # Instead use lib and headers from OpenSSL1.1 installed in `install_openssl.sh``
   apt-get install -y cargo
   echo "Checking out sccache repo"
-  git clone https://github.com/mozilla/sccache -b v0.10.0
+  git clone https://github.com/pytorch/sccache
   cd sccache
   echo "Building sccache"
   cargo build --release
@@ -19,10 +19,6 @@ install_ubuntu() {
   rm -rf sccache
   apt-get remove -y cargo rustc
   apt-get autoclean && apt-get clean
-
-  echo "Downloading old sccache binary from S3 repo for PCH builds"
-  curl --retry 3 https://s3.amazonaws.com/ossci-linux/sccache -o /opt/cache/bin/sccache-0.2.14a
-  chmod 755 /opt/cache/bin/sccache-0.2.14a
 }
 
 install_binary() {
@@ -36,42 +32,22 @@ sed -e 's|PATH="\(.*\)"|PATH="/opt/cache/bin:\1"|g' -i /etc/environment
 export PATH="/opt/cache/bin:$PATH"
 
 # Setup compiler cache
-install_ubuntu
+if [ -n "$ROCM_VERSION" ]; then
+  curl --retry 3 http://repo.radeon.com/misc/.sccache_amd/sccache -o /opt/cache/bin/sccache
+else
+  ID=$(grep -oP '(?<=^ID=).+' /etc/os-release | tr -d '"')
+  # TODO: Install the pre-built binary from S3 as building from source
+  # https://github.com/pytorch/sccache has started failing mysteriously
+  # in which sccache server couldn't start with the following error:
+  #   sccache: error: Invalid argument (os error 22)
+  install_binary
+fi
 chmod a+x /opt/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
-  if [ $1 == "gcc" ]; then
-    # Do not call sccache recursively when dumping preprocessor argument
-    # For some reason it's very important for the first cached nvcc invocation
-    cat >"/opt/cache/bin/$1" <<EOF
-#!/bin/sh
-
-# sccache does not support -E flag, so we need to call the original compiler directly in order to avoid calling this wrapper recursively
-for arg in "\$@"; do
-  if [ "\$arg" = "-E" ]; then
-    exec $(which $1) "\$@"
-  fi
-done
-
-if [ \$(env -u LD_PRELOAD ps -p \$PPID -o comm=) != sccache ]; then
-  exec sccache $(which $1) "\$@"
-else
-  exec $(which $1) "\$@"
-fi
-EOF
-  else
-    cat >"/opt/cache/bin/$1" <<EOF
-#!/bin/sh
-
-if [ \$(env -u LD_PRELOAD ps -p \$PPID -o comm=) != sccache ]; then
-  exec sccache $(which $1) "\$@"
-else
-  exec $(which $1) "\$@"
-fi
-EOF
-  fi
+  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" > "/opt/cache/bin/$1"
   chmod a+x "/opt/cache/bin/$1"
 }
 
@@ -112,7 +88,7 @@ if [ -n "$ROCM_VERSION" ]; then
     TOPDIR=$(dirname $OLDCOMP)
     WRAPPED="$TOPDIR/original/$COMPNAME"
     mv "$OLDCOMP" "$WRAPPED"
-    printf "#!/bin/sh\nexec sccache $WRAPPED \"\$@\"" >"$OLDCOMP"
+    printf "#!/bin/sh\nexec sccache $WRAPPED \"\$@\"" > "$OLDCOMP"
     chmod a+x "$OLDCOMP"
   }
 

.ci/docker/common/install_clang.sh

@@ -4,21 +4,20 @@ set -ex
 
 if [ -n "$CLANG_VERSION" ]; then
 
-  if [[ $UBUNTU_VERSION == 22.04 ]]; 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
-    wget --no-check-certificate -O - https://apt.llvm.org/llvm-snapshot.gpg.key | sudo apt-key add -
-    if [[ $CLANG_VERSION == 18 ]]; then
-      apt-add-repository "deb http://apt.llvm.org/jammy/ llvm-toolchain-jammy-18 main"
-    fi
   fi
 
   sudo apt-get update
-  if [[ $CLANG_VERSION -ge 18 ]]; then
-    apt-get install -y libomp-${CLANG_VERSION}-dev libclang-rt-${CLANG_VERSION}-dev clang-"$CLANG_VERSION" llvm-"$CLANG_VERSION"
-  else
-    apt-get install -y --no-install-recommends clang-"$CLANG_VERSION" llvm-"$CLANG_VERSION"
-  fi
+  apt-get install -y --no-install-recommends clang-"$CLANG_VERSION"
+  apt-get install -y --no-install-recommends llvm-"$CLANG_VERSION"
 
   # Install dev version of LLVM.
   if [ -n "$LLVMDEV" ]; then
@@ -35,7 +34,7 @@ if [ -n "$CLANG_VERSION" ]; then
   # 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
+  echo "$clang_lib" > /etc/ld.so.conf.d/clang.conf
   ldconfig
 
   # Cleanup package manager

.ci/docker/common/install_cmake.sh

@@ -0,0 +1,31 @@
+#!/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

@@ -5,28 +5,37 @@ 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"  # @lint-ignore
-    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)
 
+if [[ $(uname -m) == "aarch64" ]]; then
+  BASE_URL="https://github.com/conda-forge/miniforge/releases/latest/download"
   case "$MAJOR_PYTHON_VERSION" in
-    3);;
+    3)
+      CONDA_FILE="Miniforge3-Linux-aarch64.sh"
+    ;;
     *)
       echo "Unsupported ANACONDA_PYTHON_VERSION: $ANACONDA_PYTHON_VERSION"
       exit 1
       ;;
   esac
+else
+  case "$MAJOR_PYTHON_VERSION" in
+    3)
+      CONDA_FILE="Miniconda3-latest-Linux-x86_64.sh"
+    ;;
+    *)
+      echo "Unsupported ANACONDA_PYTHON_VERSION: $ANACONDA_PYTHON_VERSION"
+      exit 1
+      ;;
+  esac
+fi
 
   mkdir -p /opt/conda
   chown jenkins:jenkins /opt/conda
 
-  SCRIPT_FOLDER="$( cd "$(dirname "$0")" ; pwd -P )"
-  source "${SCRIPT_FOLDER}/common_utils.sh"
+  source "$(dirname "${BASH_SOURCE[0]}")/common_utils.sh"
 
   pushd /tmp
   wget -q "${BASE_URL}/${CONDA_FILE}"
@@ -62,29 +71,50 @@ if [ -n "$ANACONDA_PYTHON_VERSION" ]; then
 
   # 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 --update-deps -c conda-forge
+  conda_install libstdcxx-ng=12.3.0 -c conda-forge
 
   # Install PyTorch conda deps, as per https://github.com/pytorch/pytorch README
   if [[ $(uname -m) == "aarch64" ]]; then
-    conda_install "openblas==0.3.29=*openmp*"
+    CONDA_COMMON_DEPS="astunparse pyyaml setuptools openblas==0.3.25=*openmp* ninja==1.11.1 scons==4.5.2"
+
+    if [ "$ANACONDA_PYTHON_VERSION" = "3.8" ]; then
+      conda_install numpy=1.24.4 ${CONDA_COMMON_DEPS}
+    else
+      conda_install numpy=1.26.2 ${CONDA_COMMON_DEPS}
+    fi
   else
-    conda_install "mkl=2021.4.0 mkl-include=2021.4.0"
+    CONDA_COMMON_DEPS="astunparse pyyaml mkl=2021.4.0 mkl-include=2021.4.0 setuptools"
+
+    if [ "$ANACONDA_PYTHON_VERSION" = "3.11" ] || [ "$ANACONDA_PYTHON_VERSION" = "3.12" ]; then
+      conda_install numpy=1.26.0 ${CONDA_COMMON_DEPS}
+    else
+      conda_install numpy=1.21.2 ${CONDA_COMMON_DEPS}
+    fi
   fi
 
   # 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 "${CONDA_CMAKE}" ]; then
+    conda_install cmake
+  fi
+
   # Magma package names are concatenation of CUDA major and minor ignoring revision
   # I.e. magma-cuda102 package corresponds to CUDA_VERSION=10.2 and CUDA_VERSION=10.2.89
-  # Magma is installed from a tarball in the ossci-linux bucket into the conda env
   if [ -n "$CUDA_VERSION" ]; then
-    conda_run ${SCRIPT_FOLDER}/install_magma_conda.sh $(cut -f1-2 -d'.' <<< ${CUDA_VERSION})
+    conda_install magma-cuda$(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 -U scikit-learn
+
   if [ -n "$DOCS" ]; then
     apt-get update
     apt-get -y install expect-dev

.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  # @lint-ignore
-GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py
-
-# Python versions to be installed in /opt/$VERSION_NO
-CPYTHON_VERSIONS=${CPYTHON_VERSIONS:-"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 -sf ${prefix} /opt/python/${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

@@ -1,216 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-arch_path=''
-targetarch=${TARGETARCH:-$(uname -m)}
-if [ ${targetarch} = 'amd64' ] || [ "${targetarch}" = 'x86_64' ]; then
-  arch_path='x86_64'
-else
-  arch_path='sbsa'
-fi
-
-function install_cuda {
-  version=$1
-  runfile=$2
-  major_minor=${version%.*}
-  rm -rf /usr/local/cuda-${major_minor} /usr/local/cuda
-  if [[ ${arch_path} == 'sbsa' ]]; then
-      runfile="${runfile}_sbsa"
-  fi
-  runfile="${runfile}.run"
-  wget -q https://developer.download.nvidia.com/compute/cuda/${version}/local_installers/${runfile} -O ${runfile}
-  chmod +x ${runfile}
-  ./${runfile} --toolkit --silent
-  rm -f ${runfile}
-  rm -f /usr/local/cuda && ln -s /usr/local/cuda-${major_minor} /usr/local/cuda
-}
-
-function install_cudnn {
-  cuda_major_version=$1
-  cudnn_version=$2
-  mkdir tmp_cudnn && cd tmp_cudnn
-  # cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
-  filepath="cudnn-linux-${arch_path}-${cudnn_version}_cuda${cuda_major_version}-archive"
-  wget -q https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-${arch_path}/${filepath}.tar.xz
-  tar xf ${filepath}.tar.xz
-  cp -a ${filepath}/include/* /usr/local/cuda/include/
-  cp -a ${filepath}/lib/* /usr/local/cuda/lib64/
-  cd ..
-  rm -rf tmp_cudnn
-}
-
-function install_118 {
-    CUDNN_VERSION=9.1.0.70
-    echo "Installing CUDA 11.8 and cuDNN ${CUDNN_VERSION} and NCCL and cuSparseLt-0.4.0"
-    install_cuda 11.8.0 cuda_11.8.0_520.61.05_linux
-
-    install_cudnn 11 $CUDNN_VERSION
-
-    CUDA_VERSION=11.8 bash install_nccl.sh
-
-    CUDA_VERSION=11.8 bash install_cusparselt.sh
-
-    ldconfig
-}
-
-function install_124 {
-  CUDNN_VERSION=9.1.0.70
-  echo "Installing CUDA 12.4.1 and cuDNN ${CUDNN_VERSION} and NCCL and cuSparseLt-0.6.2"
-  install_cuda 12.4.1 cuda_12.4.1_550.54.15_linux
-
-  install_cudnn 12 $CUDNN_VERSION
-
-  CUDA_VERSION=12.4 bash install_nccl.sh
-
-  CUDA_VERSION=12.4 bash install_cusparselt.sh
-
-  ldconfig
-}
-
-function install_126 {
-  CUDNN_VERSION=9.5.1.17
-  echo "Installing CUDA 12.6.3 and cuDNN ${CUDNN_VERSION} and NCCL and cuSparseLt-0.6.3"
-  install_cuda 12.6.3 cuda_12.6.3_560.35.05_linux
-
-  install_cudnn 12 $CUDNN_VERSION
-
-  CUDA_VERSION=12.6 bash install_nccl.sh
-
-  CUDA_VERSION=12.6 bash install_cusparselt.sh
-
-  ldconfig
-}
-
-function prune_118 {
-    echo "Pruning CUDA 11.8 and cuDNN"
-    #####################################################################################
-    # CUDA 11.8 prune static libs
-    #####################################################################################
-    export NVPRUNE="/usr/local/cuda-11.8/bin/nvprune"
-    export CUDA_LIB_DIR="/usr/local/cuda-11.8/lib64"
-
-    export GENCODE="-gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90"
-    export GENCODE_CUDNN="-gencode arch=compute_35,code=sm_35 -gencode arch=compute_37,code=sm_37 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90"
-
-    if [[ -n "$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 $CUDA_BASE/nsight-systems-2022.4.2/
-}
-
-function prune_124 {
-  echo "Pruning CUDA 12.4"
-  #####################################################################################
-  # CUDA 12.4 prune static libs
-  #####################################################################################
-  export NVPRUNE="/usr/local/cuda-12.4/bin/nvprune"
-  export CUDA_LIB_DIR="/usr/local/cuda-12.4/lib64"
-
-  export GENCODE="-gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90"
-  export GENCODE_CUDNN="-gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90"
-
-  if [[ -n "$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 12.4 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 $CUDA_BASE/nsight-systems-2023.4.4/
-}
-
-function prune_126 {
-  echo "Pruning CUDA 12.6"
-  #####################################################################################
-  # CUDA 12.6 prune static libs
-  #####################################################################################
-  export NVPRUNE="/usr/local/cuda-12.6/bin/nvprune"
-  export CUDA_LIB_DIR="/usr/local/cuda-12.6/lib64"
-
-  export GENCODE="-gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90"
-  export GENCODE_CUDNN="-gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90"
-
-  if [[ -n "$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 12.6 prune visual tools
-  #####################################################################################
-  export CUDA_BASE="/usr/local/cuda-12.6/"
-  rm -rf $CUDA_BASE/libnvvp $CUDA_BASE/nsightee_plugins $CUDA_BASE/nsight-compute-2024.3.2 $CUDA_BASE/nsight-systems-2024.5.1/
-}
-
-function install_128 {
-  CUDNN_VERSION=9.8.0.87
-  echo "Installing CUDA 12.8.1 and cuDNN ${CUDNN_VERSION} and NCCL and cuSparseLt-0.6.3"
-  # install CUDA 12.8.1 in the same container
-  install_cuda 12.8.1 cuda_12.8.1_570.124.06_linux
-
-  # cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
-  install_cudnn 12 $CUDNN_VERSION
-
-  CUDA_VERSION=12.8 bash install_nccl.sh
-
-  CUDA_VERSION=12.8 bash install_cusparselt.sh
-
-  ldconfig
-}
-
-# idiomatic parameter and option handling in sh
-while test $# -gt 0
-do
-    case "$1" in
-    11.8) install_118; prune_118
-        ;;
-    12.4) install_124; prune_124
-        ;;
-    12.6) install_126; prune_126
-        ;;
-    12.8) install_128;
-        ;;
-    *) echo "bad argument $1"; exit 1
-        ;;
-    esac
-    shift
-done

.ci/docker/common/install_cudnn.sh

@@ -4,11 +4,7 @@ if [[ -n "${CUDNN_VERSION}" ]]; then
     # cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
     mkdir tmp_cudnn
     pushd tmp_cudnn
-    if [[ ${CUDA_VERSION:0:4} == "12.8" ]]; then
-        CUDNN_NAME="cudnn-linux-x86_64-9.8.0.87_cuda12-archive"
-    elif [[ ${CUDA_VERSION:0:4} == "12.6" ]]; then
-        CUDNN_NAME="cudnn-linux-x86_64-9.5.1.17_cuda12-archive"
-    elif [[ ${CUDA_VERSION:0:2} == "12" ]]; then
+    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"

.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

@@ -5,27 +5,17 @@ set -ex
 # cuSPARSELt license: https://docs.nvidia.com/cuda/cusparselt/license.html
 mkdir tmp_cusparselt && cd tmp_cusparselt
 
-if [[ ${CUDA_VERSION:0:4} =~ ^12\.[5-8]$ ]]; then
+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
-    CUSPARSELT_NAME="libcusparse_lt-linux-${arch_path}-0.6.3.2-archive"
-    curl --retry 3 -OLs https://developer.download.nvidia.com/compute/cusparselt/redist/libcusparse_lt/linux-${arch_path}/${CUSPARSELT_NAME}.tar.xz
-elif [[ ${CUDA_VERSION:0:4} == "12.4" ]]; then
-    arch_path='sbsa'
-    export TARGETARCH=${TARGETARCH:-$(uname -m)}
-    if [ ${TARGETARCH} = 'amd64' ] || [ "${TARGETARCH}" = 'x86_64' ]; then
-        arch_path='x86_64'
-    fi
-    CUSPARSELT_NAME="libcusparse_lt-linux-${arch_path}-0.6.2.3-archive"
+    CUSPARSELT_NAME="libcusparse_lt-linux-${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
-else
-    echo "Not sure which libcusparselt version to install for this ${CUDA_VERSION}"
 fi
 
 tar xf ${CUSPARSELT_NAME}.tar.xz

.ci/docker/common/install_db.sh

@@ -0,0 +1,38 @@
+#!/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_executorch.sh

@@ -13,7 +13,7 @@ clone_executorch() {
   # and fetch the target commit
   pushd executorch
   git checkout "${EXECUTORCH_PINNED_COMMIT}"
-  git submodule update --init --recursive
+  git submodule update --init
   popd
 
   chown -R jenkins executorch
@@ -36,23 +36,21 @@ install_conda_dependencies() {
 }
 
 install_pip_dependencies() {
-  pushd executorch
-  as_jenkins bash install_executorch.sh
-
-  # A workaround, ExecuTorch has moved to numpy 2.0 which is not compatible with the current
-  # numba and scipy version used in PyTorch CI
-  conda_run pip uninstall -y numba scipy
-
+  pushd executorch/.ci/docker
+  # Install all Python dependencies
+  pip_install -r requirements-ci.txt
   popd
 }
 
 setup_executorch() {
   pushd executorch
+  source .ci/scripts/utils.sh
 
-  export PYTHON_EXECUTABLE=python
-  export CMAKE_ARGS="-DEXECUTORCH_BUILD_PYBIND=ON -DEXECUTORCH_BUILD_XNNPACK=ON -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON"
+  install_flatc_from_source
+  pip_install .
 
-  as_jenkins .ci/scripts/setup-linux.sh --build-tool cmake || true
+  # Make sure that all the newly generate files are owned by Jenkins
+  chown -R jenkins .
   popd
 }
 

.ci/docker/common/install_halide.sh

@@ -1,48 +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
-
-pip_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
-# NOTE: pybind has a requirement for cmake > 3.5 so set the minimum cmake version here with a flag
-#       Context: https://github.com/pytorch/pytorch/issues/150420
-cmake -G Ninja -DCMAKE_POLICY_VERSION_MINIMUM=3.5 -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

@@ -7,16 +7,17 @@ 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 torch torchvision triton
+  conda_run pip uninstall -y cmake torch torchvision triton
 }
 
 # Pango is needed for weasyprint which is needed for doctr

.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

@@ -2,6 +2,8 @@
 
 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
@@ -13,8 +15,8 @@ chown -R jenkins pytorch
 
 pushd pytorch
 # Install all linter dependencies
-pip install -r requirements.txt
-lintrunner init
+pip_install -r requirements.txt
+conda_run lintrunner init
 
 # Cache .lintbin directory as part of the Docker image
 cp -r .lintbin /tmp

.ci/docker/common/install_magma.sh

@@ -1,27 +0,0 @@
-#!/usr/bin/env bash
-# Script used only in CD pipeline
-
-set -eou pipefail
-
-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 ${tmp_dir}
-        curl -OLs https://ossci-linux.s3.us-east-1.amazonaws.com/${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_magma_conda.sh

@@ -1,23 +0,0 @@
-#!/usr/bin/env bash
-# Script that installs magma from tarball inside conda environment.
-# It replaces anaconda magma-cuda package which is no longer published.
-# Execute it inside active conda environment.
-# See issue: https://github.com/pytorch/pytorch/issues/138506
-
-set -eou pipefail
-
-cuda_version_nodot=${1/./}
-anaconda_dir=${CONDA_PREFIX:-"$(dirname $(which conda))/../"}
-
-MAGMA_VERSION="2.6.1"
-magma_archive="magma-cuda${cuda_version_nodot}-${MAGMA_VERSION}-1.tar.bz2"
-(
-    set -x
-    tmp_dir=$(mktemp -d)
-    pushd ${tmp_dir}
-    curl -OLs https://ossci-linux.s3.us-east-1.amazonaws.com/${magma_archive}
-    tar -xvf "${magma_archive}"
-    mv include/* "${anaconda_dir}/include/"
-    mv lib/* "${anaconda_dir}/lib"
-    popd
-)

.ci/docker/common/install_miopen.sh

@@ -1,129 +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 "$ID" in
-  ubuntu)
-    IS_UBUNTU=1
-    ;;
-  centos|almalinux)
-    IS_UBUNTU=0
-    ;;
-  *)
-    echo "Unable to determine OS..."
-    exit 1
-    ;;
-esac
-
-# To make version comparison easier, create an integer representation.
-save_IFS="$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))
-
-# 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_CMAKE_COMMON_FLAGS="
--DMIOPEN_USE_COMGR=ON
--DMIOPEN_BUILD_DRIVER=OFF
-"
-if [[ $ROCM_INT -ge 60200 ]] && [[ $ROCM_INT -lt 60204 ]]; then
-    MIOPEN_BRANCH="release/rocm-rel-6.2-staging"
-else
-    echo "ROCm ${ROCM_VERSION} does not need any patches, do not build from source"
-    exit 0
-fi
-
-
-if [[ ${IS_UBUNTU} == 1 ]]; then
-  apt-get remove -y miopen-hip
-else
-  # Workaround since almalinux manylinux image already has this and cget doesn't like that
-  rm -rf /usr/local/lib/pkgconfig/sqlite3.pc
-
-  # Versioned package name needs regex match
-  # Use --noautoremove to prevent other rocm packages from being uninstalled
-  yum remove -y miopen-hip* --noautoremove
-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
-sed -i '/composable_kernel/d' requirements.txt
-## 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}"
-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_nccl.sh

@@ -1,26 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-NCCL_VERSION=""
-if [[ ${CUDA_VERSION:0:2} == "11" ]]; then
-  NCCL_VERSION=$(cat ci_commit_pins/nccl-cu11.txt)
-elif [[ ${CUDA_VERSION:0:2} == "12" ]]; then
-  NCCL_VERSION=$(cat ci_commit_pins/nccl-cu12.txt)
-else
-  echo "Unexpected CUDA_VERSION ${CUDA_VERSION}"
-  exit 1
-fi
-
-if [[ -n "${NCCL_VERSION}" ]]; then
-  # 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
-  pushd nccl
-  make -j src.build
-  cp -a build/include/* /usr/local/cuda/include/
-  cp -a build/lib/* /usr/local/cuda/lib64/
-  popd
-  rm -rf nccl
-  ldconfig
-fi

.ci/docker/common/install_ninja.sh

@@ -4,15 +4,10 @@ set -ex
 
 [ -n "$NINJA_VERSION" ]
 
-arch=$(uname -m)
-if [ "$arch" == "aarch64" ]; then
-    url="https://github.com/ninja-build/ninja/releases/download/v${NINJA_VERSION}/ninja-linux-aarch64.zip"
-else
-    url="https://github.com/ninja-build/ninja/releases/download/v${NINJA_VERSION}/ninja-linux.zip"
-fi
+url="https://github.com/ninja-build/ninja/releases/download/v${NINJA_VERSION}/ninja-linux.zip"
 
 pushd /tmp
 wget --no-verbose --output-document=ninja-linux.zip "$url"
 unzip ninja-linux.zip -d /usr/local/bin
 rm -f ninja-linux.zip
-popd
+popd

.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

@@ -15,7 +15,7 @@ pip_install \
   flatbuffers==2.0 \
   mock==5.0.1 \
   ninja==1.10.2 \
-  networkx==2.5 \
+  networkx==2.0 \
   numpy==1.24.2
 
 # ONNXRuntime should be installed before installing
@@ -30,15 +30,15 @@ pip_install \
 
 pip_install coloredlogs packaging
 
-pip_install onnxruntime==1.18.1
-pip_install onnxscript==0.2.6 --no-deps
-# required by onnxscript
-pip_install ml_dtypes
+pip_install onnxruntime==1.18
+pip_install onnx==1.16.0
+# pip_install "onnxscript@git+https://github.com/microsoft/onnxscript@3e869ef8ccf19b5ebd21c10d3e9c267c9a9fa729" --no-deps
+pip_install onnxscript==0.1.0.dev20240523 --no-deps
 
 # 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.GPTJForCausalLM.from_pretrained("hf-internal-testing/tiny-random-gptj");' > "${IMPORT_SCRIPT_FILENAME}"
+as_jenkins echo 'import transformers; transformers.AutoModel.from_pretrained("sshleifer/tiny-gpt2"); transformers.AutoTokenizer.from_pretrained("sshleifer/tiny-gpt2"); transformers.AutoModelForSpeechSeq2Seq.from_pretrained("openai/whisper-large-v3");' > "${IMPORT_SCRIPT_FILENAME}"
 
 # Need a PyTorch version for transformers to work
 pip_install --pre torch --index-url https://download.pytorch.org/whl/nightly/cpu

.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 v0.3.29 --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_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

@@ -0,0 +1,19 @@
+#!/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_python.sh

@@ -1,15 +0,0 @@
-#!/bin/bash
-set -ex
-
-apt-get update
-# Use deadsnakes in case we need an older python version
-sudo add-apt-repository ppa:deadsnakes/ppa
-apt-get install -y python${PYTHON_VERSION} python${PYTHON_VERSION}-dev python3-pip python${PYTHON_VERSION}-venv
-
-# Use a venv because uv and some other package managers don't support --user install
-ln -s /usr/bin/python${PYTHON_VERSION} /usr/bin/python
-python -m venv /var/lib/jenkins/ci_env
-source /var/lib/jenkins/ci_env/bin/activate
-
-python -mpip install --upgrade pip
-python -mpip install -r /opt/requirements-ci.txt

.ci/docker/common/install_rocm.sh

@@ -8,6 +8,10 @@ ver() {
 
 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
@@ -19,13 +23,6 @@ install_ubuntu() {
     apt-get install -y libc++1
     apt-get install -y libc++abi1
 
-    # Make sure rocm packages from repo.radeon.com have highest priority
-    cat << EOF > /etc/apt/preferences.d/rocm-pin-600
-Package: *
-Pin: release o=repo.radeon.com
-Pin-Priority: 600
-EOF
-
     # 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
@@ -65,30 +62,6 @@ EOF
         sqlite3 $kdb "PRAGMA journal_mode=off; PRAGMA VACUUM;"
     done
 
-    # ROCm 6.3 had a regression where initializing static code objects had significant overhead
-    # ROCm 6.4 did not yet fix the regression, also HIP branch names are different
-    if [[ $(ver $ROCM_VERSION) -eq $(ver 6.3) ]] || [[ $(ver $ROCM_VERSION) -eq $(ver 6.4) ]]; then
-        if [[ $(ver $ROCM_VERSION) -eq $(ver 6.3) ]]; then
-            HIP_BRANCH=rocm-6.3.x
-            VER_STR=6.3
-        elif [[ $(ver $ROCM_VERSION) -eq $(ver 6.4) ]]; then
-            HIP_BRANCH=release/rocm-rel-6.4
-            VER_STR=6.4
-        fi
-        # clr build needs CppHeaderParser but can only find it using conda's python
-        /opt/conda/bin/python -m pip install CppHeaderParser
-        git clone https://github.com/ROCm/HIP -b $HIP_BRANCH
-        HIP_COMMON_DIR=$(readlink -f HIP)
-        git clone https://github.com/jeffdaily/clr -b release/rocm-rel-${VER_STR}-statco-hotfix
-        mkdir -p clr/build
-        pushd clr/build
-        cmake .. -DCLR_BUILD_HIP=ON -DHIP_COMMON_DIR=$HIP_COMMON_DIR
-        make -j
-        cp hipamd/lib/libamdhip64.so.${VER_STR}.* /opt/rocm/lib/libamdhip64.so.${VER_STR}.*
-        popd
-        rm -rf HIP clr
-    fi
-
     # Cleanup
     apt-get autoclean && apt-get clean
     rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*

.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|almalinux)
-    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

@@ -1,32 +1,31 @@
-#!/usr/bin/env bash
-# Script used only in CD pipeline
+#!/bin/bash
 
-set -eou pipefail
+set -ex
 
-function do_install() {
-    rocm_version=$1
-    rocm_version_nodot=${1//./}
+# "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
-    MAGMA_VERSION=a1625ff4d9bc362906bd01f805dbbe12612953f6
-    magma_archive="magma-rocm${rocm_version_nodot}-${MAGMA_VERSION}-1.tar.bz2"
+# Version 2.7.2 + ROCm related updates
+git checkout a1625ff4d9bc362906bd01f805dbbe12612953f6
 
-    rocm_dir="/opt/rocm"
-    (
-        set -x
-        tmp_dir=$(mktemp -d)
-        pushd ${tmp_dir}
-        curl -OLs https://ossci-linux.s3.us-east-1.amazonaws.com/${magma_archive}
-        if tar -xvf "${magma_archive}"
-        then
-            mkdir -p "${rocm_dir}/magma"
-            mv include "${rocm_dir}/magma/include"
-            mv lib "${rocm_dir}/magma/lib"
-        else
-            echo "${magma_archive} not found, skipping magma install"
-        fi
-        popd
-    )
-}
-
-do_install $1
+cp make.inc-examples/make.inc.hip-gcc-mkl make.inc
+echo 'LIBDIR += -L$(MKLROOT)/lib' >> make.inc
+echo 'LIB += -Wl,--enable-new-dtags -Wl,--rpath,/opt/rocm/lib -Wl,--rpath,$(MKLROOT)/lib -Wl,--rpath,/opt/rocm/magma/lib' >> make.inc
+echo 'DEVCCFLAGS += --gpu-max-threads-per-block=256' >> make.inc
+export PATH="${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 $(nproc) MKLROOT=/opt/conda/envs/py_$ANACONDA_PYTHON_VERSION
+make testing/testing_dgemm -j $(nproc) MKLROOT=/opt/conda/envs/py_$ANACONDA_PYTHON_VERSION
+popd
+mv magma /opt/rocm

.ci/docker/common/install_swiftshader.sh

@@ -0,0 +1,24 @@
+#!/bin/bash
+
+set -ex
+
+[ -n "${SWIFTSHADER}" ]
+
+retry () {
+    $*  || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*)
+}
+
+_https_amazon_aws=https://ossci-android.s3.amazonaws.com
+
+# SwiftShader
+_swiftshader_dir=/var/lib/jenkins/swiftshader
+_swiftshader_file_targz=swiftshader-abe07b943-prebuilt.tar.gz
+mkdir -p $_swiftshader_dir
+_tmp_swiftshader_targz="/tmp/${_swiftshader_file_targz}"
+
+curl --silent --show-error --location --fail --retry 3 \
+  --output "${_tmp_swiftshader_targz}" "$_https_amazon_aws/${_swiftshader_file_targz}"
+
+tar -C "${_swiftshader_dir}" -xzf "${_tmp_swiftshader_targz}"
+
+export VK_ICD_FILENAMES="${_swiftshader_dir}/build/Linux/vk_swiftshader_icd.json"

.ci/docker/common/install_triton.sh

@@ -2,26 +2,24 @@
 
 set -ex
 
-mkdir -p /opt/triton
-if [ -z "${TRITON}" ] && [ -z "${TRITON_CPU}" ]; then
-  echo "TRITON and TRITON_CPU are not set. Exiting..."
-  exit 0
-fi
-
 source "$(dirname "${BASH_SOURCE[0]}")/common_utils.sh"
 
-get_pip_version() {
-  conda_run pip list | grep -w $* | head -n 1 | awk '{print $2}'
+get_conda_version() {
+  as_jenkins conda list -n py_$ANACONDA_PYTHON_VERSION | grep -w $* | head -n 1 | awk '{print $2}'
 }
 
-if [ -n "${XPU_VERSION}" ]; then
+conda_reinstall() {
+  as_jenkins conda install -q -n py_$ANACONDA_PYTHON_VERSION -y --force-reinstall $*
+}
+
+if [ -n "${ROCM_VERSION}" ]; then
+  TRITON_REPO="https://github.com/openai/triton"
+  TRITON_TEXT_FILE="triton-rocm"
+elif [ -n "${XPU_VERSION}" ]; then
   TRITON_REPO="https://github.com/intel/intel-xpu-backend-for-triton"
   TRITON_TEXT_FILE="triton-xpu"
-elif [ -n "${TRITON_CPU}" ]; then
-  TRITON_REPO="https://github.com/triton-lang/triton-cpu"
-  TRITON_TEXT_FILE="triton-cpu"
 else
-  TRITON_REPO="https://github.com/triton-lang/triton"
+  TRITON_REPO="https://github.com/openai/triton"
   TRITON_TEXT_FILE="triton"
 fi
 
@@ -33,63 +31,42 @@ if [ -n "${UBUNTU_VERSION}" ];then
     apt-get install -y gpg-agent
 fi
 
-# Keep the current cmake and numpy version here, so we can reinstall them later
-CMAKE_VERSION=$(get_pip_version cmake)
-NUMPY_VERSION=$(get_pip_version numpy)
+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 --recursive ${TRITON_REPO} triton
-cd triton
-as_jenkins git checkout ${TRITON_PINNED_COMMIT}
-as_jenkins git submodule update --init --recursive
-cd python
-pip_install pybind11==2.13.6
-
-# TODO: remove patch setup.py once we have a proper fix for https://github.com/triton-lang/triton/issues/4527
-as_jenkins sed -i -e 's/https:\/\/tritonlang.blob.core.windows.net\/llvm-builds/https:\/\/oaitriton.blob.core.windows.net\/public\/llvm-builds/g' setup.py
-
 if [ -n "${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 conda_run python setup.py bdist_wheel
+  CXX=g++-9 pip_install "git+${TRITON_REPO}@${TRITON_PINNED_COMMIT}#subdirectory=python"
 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 conda_run python setup.py bdist_wheel
+  CXX=g++-9 pip_install "git+${TRITON_REPO}@${TRITON_PINNED_COMMIT}#subdirectory=python"
 else
-  conda_run python setup.py bdist_wheel
+  pip_install "git+${TRITON_REPO}@${TRITON_PINNED_COMMIT}#subdirectory=python"
 fi
 
-# Copy the wheel to /opt for multi stage docker builds
-cp dist/*.whl /opt/triton
-# Install the wheel for docker builds that don't use multi stage
-pip_install dist/*.whl
-
-# 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.
-# Note that we install numpy with pip as conda might not have the version we want
-if [ -n "${CMAKE_VERSION}" ]; then
-  pip_install "cmake==${CMAKE_VERSION}"
-fi
-if [ -n "${NUMPY_VERSION}" ]; then
-  pip_install "numpy==${NUMPY_VERSION}"
+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

@@ -8,12 +8,6 @@ else
   with_cuda=no
 fi
 
-if [[ -d "/opt/rocm" ]]; then
-  with_rocm=/opt/rocm
-else
-  with_rocm=no
-fi
-
 function install_ucx() {
   set -ex
   git clone --recursive https://github.com/openucx/ucx.git
@@ -25,7 +19,6 @@ function install_ucx() {
   ./configure --prefix=$UCX_HOME      \
       --enable-mt                     \
       --with-cuda=$with_cuda          \
-      --with-rocm=$with_rocm          \
       --enable-profiling              \
       --enable-stats
   time make -j
@@ -43,29 +36,12 @@ function install_ucc() {
   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"
-
-  if [[ -n "$ROCM_VERSION" ]]; then
-    if [[ -n "$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 $amdgpu_targets; do
-      HIP_OFFLOAD="$HIP_OFFLOAD --offload-arch=$arch"
-    done
-  else
-    HIP_OFFLOAD="all-arch-no-native"
-  fi
-
   ./configure --prefix=$UCC_HOME          \
     --with-ucx=$UCX_HOME                  \
     --with-cuda=$with_cuda                \
-    --with-nvcc-gencode="${NVCC_GENCODE}" \
-    --with-rocm=$with_rocm                \
-    --with-rocm-arch="${HIP_OFFLOAD}"
+    --with-nvcc-gencode="${NVCC_GENCODE}"
   time make -j
   sudo make install
 

.ci/docker/common/install_user.sh

@@ -2,13 +2,6 @@
 
 set -ex
 
-# Since version 24 the system ships with user 'ubuntu' that has id 1000
-# We need a work-around to enable id 1000 usage for this script
-if [[ $UBUNTU_VERSION == 24.04 ]]; then
-    # touch is used to disable harmless error message
-    touch /var/mail/ubuntu && chown ubuntu /var/mail/ubuntu && userdel -r ubuntu
-fi
-
 # Mirror jenkins user in container
 # jenkins user as ec2-user should have the same user-id
 echo "jenkins:x:1000:1000::/var/lib/jenkins:" >> /etc/passwd

.ci/docker/common/install_vulkan_sdk.sh

@@ -0,0 +1,24 @@
+#!/bin/bash
+
+set -ex
+
+[ -n "${VULKAN_SDK_VERSION}" ]
+
+retry () {
+    $*  || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*)
+}
+
+_vulkansdk_dir=/var/lib/jenkins/vulkansdk
+_tmp_vulkansdk_targz=/tmp/vulkansdk.tar.gz
+
+curl \
+  --silent \
+  --show-error \
+  --location \
+  --fail \
+  --retry 3 \
+  --output "${_tmp_vulkansdk_targz}" "https://ossci-android.s3.amazonaws.com/vulkansdk-linux-x86_64-${VULKAN_SDK_VERSION}.tar.gz"
+
+mkdir -p "${_vulkansdk_dir}"
+tar -C "${_vulkansdk_dir}" -xzf "${_tmp_vulkansdk_targz}" --strip-components 1
+rm -rf "${_tmp_vulkansdk_targz}"

.ci/docker/common/install_xpu.sh

@@ -1,6 +1,6 @@
 #!/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
@@ -8,26 +8,22 @@ set -xe
 # 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
+
+    # Set up the repository. To do this, download the key to the system keyring
     wget -qO - https://repositories.intel.com/gpu/intel-graphics.key \
-        | gpg --yes --dearmor --output /usr/share/keyrings/intel-graphics.gpg
+        | gpg --dearmor --output /usr/share/keyrings/intel-graphics.gpg
+    wget -qO - https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB \
+        | gpg --dearmor --output /usr/share/keyrings/intel-for-pytorch-gpu-dev-keyring.gpg
+
+    # Add the signed entry to APT sources and configure the APT client to use the Intel repository
     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/oneapi-archive-keyring.gpg.gpg
-    echo "deb [signed-by=/usr/share/keyrings/oneapi-archive-keyring.gpg.gpg] \
-        https://apt.repos.intel.com/oneapi all main" \
-        | tee /etc/apt/sources.list.d/oneAPI.list
+        https://repositories.intel.com/gpu/ubuntu jammy/lts/2350 unified" \
+        | tee /etc/apt/sources.list.d/intel-gpu-jammy.list
+    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
@@ -41,39 +37,32 @@ function install_ubuntu() {
         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
-    if [[ "${XPU_DRIVER_TYPE,,}" == "rolling" ]]; then
-        apt-get install -y intel-ocloc
-    fi
     # Development Packages
     apt-get install -y libigc-dev intel-igc-cm libigdfcl-dev libigfxcmrt-dev level-zero-dev
     # Install Intel Support Packages
-    apt-get install -y ${XPU_PACKAGES}
+    if [ -n "$XPU_VERSION" ]; then
+        apt-get install -y intel-for-pytorch-gpu-dev-${XPU_VERSION}
+    else
+        apt-get install -y intel-for-pytorch-gpu-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 [[ ! " 8.8 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="8.8"
-    fi
-
+function install_centos() {
     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/oneAPI.repo << EOF
+        https://repositories.intel.com/gpu/rhel/8.6/production/2328/unified/intel-gpu-8.6.repo
+    # To add the EPEL repository needed for DKMS
+    dnf -y install https://dl.fedoraproject.org/pub/epel/epel-release-latest-8.noarch.rpm
+        # https://dl.fedoraproject.org/pub/epel/epel-release-latest-9.noarch.rpm
+
+    # Create the YUM repository file in the /temp directory as a normal user
+    tee > /tmp/oneAPI.repo << EOF
 [oneAPI]
-name=Intel for Pytorch GPU dev repository
+name=Intel® oneAPI repository
 baseurl=https://yum.repos.intel.com/oneapi
 enabled=1
 gpgcheck=1
@@ -81,22 +70,25 @@ repo_gpgcheck=1
 gpgkey=https://yum.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
 EOF
 
-    # Install Intel Support Packages
-    yum install -y ${XPU_PACKAGES}
+    # Move the newly created oneAPI.repo file to the YUM configuration directory /etc/yum.repos.d
+    mv /tmp/oneAPI.repo /etc/yum.repos.d
+
     # The xpu-smi packages
-    dnf install -y xpu-smi
+    dnf install -y flex bison xpu-smi
     # Compute and Media Runtimes
-    dnf install --skip-broken -y \
+    dnf install -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
+        libva libva-utils intel-gmmlib libmetee intel-gsc intel-ocloc hwinfo clinfo
     # Development packages
     dnf install -y --refresh \
         intel-igc-opencl-devel level-zero-devel intel-gsc-devel libmetee-devel \
         level-zero-devel
+    # Install Intel® oneAPI Base Toolkit
+    dnf install intel-basekit -y
 
     # Cleanup
     dnf clean all
@@ -105,48 +97,6 @@ EOF
     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/oneapi oneAPI
-    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 ${XPU_PACKAGES}
-
-}
-
-# Default use GPU driver LTS releases
-XPU_DRIVER_VERSION="/lts/2350"
-if [[ "${XPU_DRIVER_TYPE,,}" == "rolling" ]]; then
-    # Use GPU driver rolling releases
-    XPU_DRIVER_VERSION=""
-fi
-
-# Default use Intel® oneAPI Deep Learning Essentials 2025.0
-if [[ "$XPU_VERSION" == "2025.1" ]]; then
-    XPU_PACKAGES="intel-deep-learning-essentials-2025.1"
-else
-    XPU_PACKAGES="intel-deep-learning-essentials-2025.0"
-fi
 
 # The installation depends on the base OS
 ID=$(grep -oP '(?<=^ID=).+' /etc/os-release | tr -d '"')
@@ -154,11 +104,8 @@ case "$ID" in
     ubuntu)
         install_ubuntu
     ;;
-    rhel|almalinux)
-        install_rhel
-    ;;
-    sles)
-        install_sles
+    centos)
+        install_centos
     ;;
     *)
         echo "Unable to determine OS..."

.ci/docker/libtorch/Dockerfile

@@ -1,109 +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
-COPY ./common/install_nccl.sh install_nccl.sh
-COPY ./ci_commit_pins/nccl-cu* /ci_commit_pins/
-COPY ./common/install_cusparselt.sh install_cusparselt.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 cuda12.4
-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 cuda as cuda12.6
-RUN bash ./install_cuda.sh 12.6
-RUN bash ./install_magma.sh 12.6
-RUN ln -sf /usr/local/cuda-12.6 /usr/local/cuda
-
-FROM cuda as cuda12.8
-RUN bash ./install_cuda.sh 12.8
-RUN bash ./install_magma.sh 12.8
-RUN ln -sf /usr/local/cuda-12.8 /usr/local/cuda
-
-FROM cpu as rocm
-ARG ROCM_VERSION
-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 python3 python-is-python3 -y && \
-    apt-get clean
-
-RUN bash ./install_rocm_drm.sh && rm install_rocm_drm.sh
-RUN bash ./install_rocm_magma.sh ${ROCM_VERSION} && rm install_rocm_magma.sh
-
-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

@@ -1,63 +0,0 @@
-#!/usr/bin/env bash
-# Script used only in CD pipeline
-
-set -eoux pipefail
-
-image="$1"
-shift
-
-if [ -z "${image}" ]; then
-  echo "Usage: $0 IMAGENAME:ARCHTAG"
-  exit 1
-fi
-
-TOPDIR=$(git rev-parse --show-toplevel)
-
-DOCKER=${DOCKER:-docker}
-
-# Go from imagename:tag to tag
-DOCKER_TAG_PREFIX=$(echo "${image}" | awk -F':' '{print $2}')
-
-GPU_ARCH_VERSION=""
-if [[ "${DOCKER_TAG_PREFIX}" == cuda* ]]; then
-    # extract cuda version from image name.  e.g. manylinux2_28-builder:cuda12.8 returns 12.8
-    GPU_ARCH_VERSION=$(echo "${DOCKER_TAG_PREFIX}" | awk -F'cuda' '{print $2}')
-elif [[ "${DOCKER_TAG_PREFIX}" == rocm* ]]; then
-    # extract rocm version from image name.  e.g. manylinux2_28-builder:rocm6.2.4 returns 6.2.4
-    GPU_ARCH_VERSION=$(echo "${DOCKER_TAG_PREFIX}" | awk -F'rocm' '{print $2}')
-fi
-
-case ${DOCKER_TAG_PREFIX} in
-    cpu)
-        BASE_TARGET=cpu
-        GPU_IMAGE=ubuntu:20.04
-        DOCKER_GPU_BUILD_ARG=""
-        ;;
-    cuda*)
-        BASE_TARGET=cuda${GPU_ARCH_VERSION}
-        GPU_IMAGE=ubuntu:20.04
-        DOCKER_GPU_BUILD_ARG=""
-        ;;
-    rocm*)
-        BASE_TARGET=rocm
-        GPU_IMAGE=rocm/dev-ubuntu-22.04:${GPU_ARCH_VERSION}-complete
-        PYTORCH_ROCM_ARCH="gfx900;gfx906;gfx908;gfx90a;gfx942;gfx1030;gfx1100;gfx1101;gfx1102;gfx1200;gfx1201"
-        DOCKER_GPU_BUILD_ARG="--build-arg PYTORCH_ROCM_ARCH=${PYTORCH_ROCM_ARCH} --build-arg ROCM_VERSION=${GPU_ARCH_VERSION}"
-        ;;
-    *)
-        echo "ERROR: Unrecognized DOCKER_TAG_PREFIX: ${DOCKER_TAG_PREFIX}"
-        exit 1
-        ;;
-esac
-
-tmp_tag=$(basename "$(mktemp -u)" | tr '[:upper:]' '[:lower:]')
-
-DOCKER_BUILDKIT=1 ${DOCKER} build \
-    --target final \
-    ${DOCKER_GPU_BUILD_ARG} \
-    --build-arg "GPU_IMAGE=${GPU_IMAGE}" \
-    --build-arg "BASE_TARGET=${BASE_TARGET}" \
-    -t "${tmp_tag}" \
-    $@ \
-    -f "${TOPDIR}/.ci/docker/libtorch/Dockerfile" \
-    "${TOPDIR}/.ci/docker/"

.ci/docker/linter-cuda/Dockerfile

@@ -18,31 +18,27 @@ 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 PYTHON_VERSION
-ARG PIP_CMAKE
-# Put venv into the env vars so users don't need to activate it
-ENV PATH /var/lib/jenkins/ci_env/bin:$PATH
-ENV VIRTUAL_ENV /var/lib/jenkins/ci_env
-COPY requirements-ci.txt /opt/requirements-ci.txt
-COPY ./common/install_python.sh install_python.sh
-RUN bash ./install_python.sh && rm install_python.sh /opt/requirements-ci.txt
+ARG ANACONDA_PYTHON_VERSION
+ARG CONDA_CMAKE
+ENV ANACONDA_PYTHON_VERSION=$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
-COPY ./common/install_nccl.sh install_nccl.sh
-COPY ./ci_commit_pins/nccl-cu* /ci_commit_pins/
-COPY ./common/install_cusparselt.sh install_cusparselt.sh
-RUN bash ./install_cuda.sh ${CUDA_VERSION} && rm install_cuda.sh install_nccl.sh /ci_commit_pins/nccl-cu* install_cusparselt.sh
+RUN wget -q https://raw.githubusercontent.com/pytorch/builder/main/common/install_cuda.sh -O 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
-
-RUN chown -R jenkins:jenkins /var/lib/jenkins/ci_env
+RUN rm install_linter.sh common_utils.sh
 
 USER jenkins
 CMD ["bash"]

.ci/docker/linter/Dockerfile

@@ -15,17 +15,20 @@ 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 PYTHON_VERSION
-ENV PATH /var/lib/jenkins/ci_env/bin:$PATH
-ENV VIRTUAL_ENV /var/lib/jenkins/ci_env
-COPY requirements-ci.txt /opt/requirements-ci.txt
-COPY ./common/install_python.sh install_python.sh
-RUN bash ./install_python.sh && rm install_python.sh /opt/requirements-ci.txt
+ARG ANACONDA_PYTHON_VERSION
+ARG CONDA_CMAKE
+ENV ANACONDA_PYTHON_VERSION=$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
+RUN rm install_linter.sh common_utils.sh
 
 USER jenkins
 CMD ["bash"]

.ci/docker/manywheel/Dockerfile_2_28

@@ -1,179 +0,0 @@
-# syntax = docker/dockerfile:experimental
-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=13
-RUN yum install -y sudo wget curl perl util-linux xz bzip2 git patch which perl zlib-devel yum-utils gcc-toolset-${DEVTOOLSET_VERSION}-gcc gcc-toolset-${DEVTOOLSET_VERSION}-gcc-c++ gcc-toolset-${DEVTOOLSET_VERSION}-gcc-gfortran gcc-toolset-${DEVTOOLSET_VERSION}-gdb
-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=12.6
-# Install CUDA
-ADD ./common/install_cuda.sh install_cuda.sh
-COPY ./common/install_nccl.sh install_nccl.sh
-COPY ./ci_commit_pins/nccl-cu* /ci_commit_pins/
-COPY ./common/install_cusparselt.sh install_cusparselt.sh
-RUN bash ./install_cuda.sh ${BASE_CUDA_VERSION} && rm install_cuda.sh install_nccl.sh ci_commit_pins/nccl-cu* install_cusparselt.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=12.6
-# 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 ${GPU_IMAGE} as common
-ARG DEVTOOLSET_VERSION=13
-ENV LC_ALL en_US.UTF-8
-ENV LANG en_US.UTF-8
-ENV LANGUAGE en_US.UTF-8
-RUN yum -y install epel-release
-RUN yum -y update
-RUN yum install -y \
-        autoconf \
-        automake \
-        bison \
-        bzip2 \
-        curl \
-        diffutils \
-        file \
-        git \
-        make \
-        patch \
-        perl \
-        unzip \
-        util-linux \
-        wget \
-        which \
-        xz \
-        glibc-langpack-en \
-        gcc-toolset-${DEVTOOLSET_VERSION}-gcc \
-        gcc-toolset-${DEVTOOLSET_VERSION}-gcc-c++ \
-        gcc-toolset-${DEVTOOLSET_VERSION}-gcc-gfortran \
-        gcc-toolset-${DEVTOOLSET_VERSION}-gdb
-
-# git236+ would refuse to run git commands in repos owned by other users
-# Which causes version check to fail, as pytorch repo is bind-mounted into the image
-# Override this behaviour by treating every folder as safe
-# For more details see https://github.com/pytorch/pytorch/issues/78659#issuecomment-1144107327
-RUN git config --global --add safe.directory "*"
-
-ENV SSL_CERT_FILE=/opt/_internal/certs.pem
-# Install LLVM version
-COPY --from=openssl            /opt/openssl                          /opt/openssl
-COPY --from=base               /opt/python                           /opt/python
-COPY --from=base               /opt/_internal                        /opt/_internal
-COPY --from=base               /usr/local/bin/auditwheel             /usr/local/bin/auditwheel
-COPY --from=intel              /opt/intel                            /opt/intel
-COPY --from=base               /usr/local/bin/patchelf               /usr/local/bin/patchelf
-COPY --from=libpng             /usr/local/bin/png*                   /usr/local/bin/
-COPY --from=libpng             /usr/local/bin/libpng*                /usr/local/bin/
-COPY --from=libpng             /usr/local/include/png*               /usr/local/include/
-COPY --from=libpng             /usr/local/include/libpng*            /usr/local/include/
-COPY --from=libpng             /usr/local/lib/libpng*                /usr/local/lib/
-COPY --from=libpng             /usr/local/lib/pkgconfig              /usr/local/lib/pkgconfig
-COPY --from=jni                /usr/local/include/jni.h              /usr/local/include/jni.h
-
-FROM common as cpu_final
-ARG BASE_CUDA_VERSION=12.6
-ARG DEVTOOLSET_VERSION=13
-# Install Anaconda
-ADD ./common/install_conda_docker.sh install_conda.sh
-RUN bash ./install_conda.sh && rm install_conda.sh
-ENV PATH /opt/conda/bin:$PATH
-# 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:$LD_LIBRARY_PATH
-# Install setuptools and wheel for python 3.12/3.13
-RUN for cpython_version in "cp312-cp312" "cp313-cp313" "cp313-cp313t"; do \
-    /opt/python/${cpython_version}/bin/python -m pip install setuptools wheel; \
-    done;
-
-
-# cmake-3.18.4 from pip; force in case cmake3 already exists
-RUN yum install -y python3-pip && \
-    python3 -mpip install cmake==3.18.4 && \
-    ln -sf /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-${BASE_CUDA_VERSION}
-RUN ln -sf /usr/local/cuda-${BASE_CUDA_VERSION} /usr/local/cuda
-ENV PATH=/usr/local/cuda/bin:$PATH
-
-FROM cpu_final as rocm_final
-ARG ROCM_VERSION=6.0
-ARG PYTORCH_ROCM_ARCH
-ENV PYTORCH_ROCM_ARCH ${PYTORCH_ROCM_ARCH}
-ARG DEVTOOLSET_VERSION=11
-ENV LDFLAGS="-Wl,-rpath=/opt/rh/gcc-toolset-${DEVTOOLSET_VERSION}/root/usr/lib64 -Wl,-rpath=/opt/rh/gcc-toolset-${DEVTOOLSET_VERSION}/root/usr/lib"
-# Somewhere in ROCm stack, we still use non-existing /opt/rocm/hip path,
-# below workaround helps avoid error
-ENV ROCM_PATH /opt/rocm
-# cmake-3.28.4 from pip to get enable_language(HIP)
-# and avoid 3.21.0 cmake+ninja issues with ninja inserting "-Wl,--no-as-needed" in LINK_FLAGS for static linker
-RUN python3 -m pip install --upgrade pip && \
-    python3 -mpip install cmake==3.28.4
-# replace the libdrm in /opt/amdgpu with custom amdgpu.ids lookup path
-ADD ./common/install_rocm_drm.sh install_rocm_drm.sh
-RUN bash ./install_rocm_drm.sh && rm install_rocm_drm.sh
-# ROCm 6.4 rocm-smi depends on system drm.h header
-RUN yum install -y libdrm-devel
-ENV MKLROOT /opt/intel
-ADD ./common/install_rocm_magma.sh install_rocm_magma.sh
-RUN bash ./install_rocm_magma.sh ${ROCM_VERSION} && rm install_rocm_magma.sh
-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
-ADD ./common/install_xpu.sh install_xpu.sh
-ENV XPU_VERSION 2025.1
-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

@@ -1,72 +0,0 @@
-FROM quay.io/pypa/manylinux_2_28_aarch64 as base
-
-ARG GCCTOOLSET_VERSION=13
-
-# 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-${GCCTOOLSET_VERSION}-gcc \
-  gcc-toolset-${GCCTOOLSET_VERSION}-gcc-c++ \
-  gcc-toolset-${GCCTOOLSET_VERSION}-gcc-gfortran \
-  gcc-toolset-${GCCTOOLSET_VERSION}-gdb
-
-# (optional) Install non-default Ninja version
-ARG NINJA_VERSION
-COPY ./common/install_ninja.sh install_ninja.sh
-RUN if [ -n "${NINJA_VERSION}" ]; then bash ./install_ninja.sh; fi
-RUN rm install_ninja.sh
-
-# Ensure the expected devtoolset is used
-ENV PATH=/opt/rh/gcc-toolset-${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 openblas
-# Install openblas
-ADD ./common/install_openblas.sh install_openblas.sh
-RUN bash ./install_openblas.sh && rm install_openblas.sh
-
-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
-COPY --from=openblas     /opt/OpenBLAS/  /opt/OpenBLAS/
-ENV LD_LIBRARY_PATH=/opt/OpenBLAS/lib:$LD_LIBRARY_PATH

.ci/docker/manywheel/Dockerfile_cuda_aarch64

@@ -1,97 +0,0 @@
-FROM quay.io/pypa/manylinux_2_28_aarch64 as base
-
-# Cuda ARM build needs gcc 11
-ARG DEVTOOLSET_VERSION=13
-
-# 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-${DEVTOOLSET_VERSION}-gcc \
-  gcc-toolset-${DEVTOOLSET_VERSION}-gcc-c++ \
-  gcc-toolset-${DEVTOOLSET_VERSION}-gcc-gfortran \
-  gcc-toolset-${DEVTOOLSET_VERSION}-gdb
-
-# 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.sh install_cuda.sh
-COPY ./common/install_nccl.sh install_nccl.sh
-COPY ./common/install_cusparselt.sh install_cusparselt.sh
-COPY ./ci_commit_pins/nccl-cu* /ci_commit_pins/
-RUN bash ./install_cuda.sh ${BASE_CUDA_VERSION} && rm install_cuda.sh install_nccl.sh ci_commit_pins/nccl-cu* install_cusparselt.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

@@ -1,137 +0,0 @@
-FROM quay.io/pypa/manylinux_2_28_s390x as base
-
-# Language variables
-ENV LC_ALL=C.UTF-8
-ENV LANG=C.UTF-8
-ENV LANGUAGE=C.UTF-8
-
-# there is a bugfix in gcc >= 14 for precompiled headers and s390x vectorization interaction.
-# with earlier gcc versions test/inductor/test_cpu_cpp_wrapper.py will fail.
-ARG DEVTOOLSET_VERSION=14
-# 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 \
-  sudo \
-  autoconf \
-  automake \
-  bison \
-  bzip2 \
-  curl \
-  diffutils \
-  file \
-  git \
-  make \
-  patch \
-  perl \
-  unzip \
-  util-linux \
-  wget \
-  which \
-  xz \
-  yasm \
-  less \
-  zstd \
-  libgomp \
-  gcc-toolset-${DEVTOOLSET_VERSION}-gcc \
-  gcc-toolset-${DEVTOOLSET_VERSION}-gcc-c++ \
-  gcc-toolset-${DEVTOOLSET_VERSION}-binutils \
-  gcc-toolset-${DEVTOOLSET_VERSION}-gcc-gfortran \
-  cmake \
-  rust \
-  cargo \
-  llvm-devel \
-  libzstd-devel \
-  python3.12-devel \
-  python3.12-test \
-  python3.12-setuptools \
-  python3.12-pip \
-  python3-virtualenv \
-  python3.12-pyyaml \
-  python3.12-numpy \
-  python3.12-wheel \
-  python3.12-cryptography \
-  blas-devel \
-  openblas-devel \
-  lapack-devel \
-  atlas-devel \
-  libjpeg-devel \
-  libxslt-devel \
-  libxml2-devel \
-  openssl-devel \
-  valgrind \
-  ninja-build
-
-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 "*"
-
-# installed python doesn't have development parts. Rebuild it from scratch
-RUN /bin/rm -rf /opt/_internal /opt/python /usr/local/*/*
-
-# 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
-ENV SSL_CERT_FILE=
-RUN bash build_scripts/build.sh && rm -r build_scripts
-
-FROM base 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
-
-RUN alternatives --set python /usr/bin/python3.12
-RUN alternatives --set python3 /usr/bin/python3.12
-
-RUN pip-3.12 install typing_extensions
-
-ENTRYPOINT []
-CMD ["/bin/bash"]
-
-# install test dependencies:
-# - grpcio requires system openssl, bundled crypto fails to build
-RUN dnf install -y \
-  hdf5-devel \
-  python3-h5py \
-  git
-
-RUN env GRPC_PYTHON_BUILD_SYSTEM_OPENSSL=True pip3 install grpcio
-
-# cmake-3.28.0 from pip for onnxruntime
-RUN python3 -mpip install cmake==3.28.0
-
-# build onnxruntime 1.21.0 from sources.
-# it is not possible to build it from sources using pip,
-# so just build it from upstream repository.
-# h5py is dependency of onnxruntime_training.
-# h5py==3.11.0 builds with hdf5-devel 1.10.5 from repository.
-# install newest flatbuffers version first:
-# for some reason old version is getting pulled in otherwise.
-# packaging package is required for onnxruntime wheel build.
-RUN pip3 install flatbuffers && \
-  pip3 install h5py==3.11.0 && \
-  pip3 install packaging && \
-  git clone https://github.com/microsoft/onnxruntime && \
-  cd onnxruntime && git checkout v1.21.0 && \
-  git submodule update --init --recursive && \
-  ./build.sh --config Release --parallel 0 --enable_pybind \
-  --build_wheel --enable_training --enable_training_apis \
-  --enable_training_ops --skip_tests --allow_running_as_root \
-  --compile_no_warning_as_error && \
-  pip3 install ./build/Linux/Release/dist/onnxruntime_training-*.whl && \
-  cd .. && /bin/rm -rf ./onnxruntime

.ci/docker/manywheel/build.sh

@@ -1,116 +0,0 @@
-#!/usr/bin/env bash
-# Script used only in CD pipeline
-
-set -exou pipefail
-
-TOPDIR=$(git rev-parse --show-toplevel)
-
-image="$1"
-shift
-
-if [ -z "${image}" ]; then
-  echo "Usage: $0 IMAGE:ARCHTAG"
-  exit 1
-fi
-
-# Go from imagename:tag to tag
-DOCKER_TAG_PREFIX=$(echo "${image}" | awk -F':' '{print $2}')
-
-GPU_ARCH_VERSION=""
-if [[ "${DOCKER_TAG_PREFIX}" == cuda* ]]; then
-    # extract cuda version from image name.  e.g. manylinux2_28-builder:cuda12.8 returns 12.8
-    GPU_ARCH_VERSION=$(echo "${DOCKER_TAG_PREFIX}" | awk -F'cuda' '{print $2}')
-elif [[ "${DOCKER_TAG_PREFIX}" == rocm* ]]; then
-    # extract rocm version from image name.  e.g. manylinux2_28-builder:rocm6.2.4 returns 6.2.4
-    GPU_ARCH_VERSION=$(echo "${DOCKER_TAG_PREFIX}" | awk -F'rocm' '{print $2}')
-fi
-
-MANY_LINUX_VERSION=${MANY_LINUX_VERSION:-}
-DOCKERFILE_SUFFIX=${DOCKERFILE_SUFFIX:-}
-
-case ${image} in
-    manylinux2_28-builder:cpu)
-        TARGET=cpu_final
-        GPU_IMAGE=amd64/almalinux:8
-        DOCKER_GPU_BUILD_ARG=" --build-arg DEVTOOLSET_VERSION=13"
-        MANY_LINUX_VERSION="2_28"
-        ;;
-    manylinux2_28_aarch64-builder:cpu-aarch64)
-        TARGET=final
-        GPU_IMAGE=arm64v8/almalinux:8
-        DOCKER_GPU_BUILD_ARG=" --build-arg DEVTOOLSET_VERSION=13 --build-arg NINJA_VERSION=1.12.1"
-        MANY_LINUX_VERSION="2_28_aarch64"
-        ;;
-    manylinuxcxx11-abi-builder:cpu-cxx11-abi)
-        TARGET=final
-        GPU_IMAGE=""
-        DOCKER_GPU_BUILD_ARG=" --build-arg DEVTOOLSET_VERSION=9"
-        MANY_LINUX_VERSION="cxx11-abi"
-        ;;
-    manylinuxs390x-builder:cpu-s390x)
-        TARGET=final
-        GPU_IMAGE=s390x/almalinux:8
-        DOCKER_GPU_BUILD_ARG=""
-        MANY_LINUX_VERSION="s390x"
-        ;;
-    manylinux2_28-builder:cuda11*)
-        TARGET=cuda_final
-        GPU_IMAGE=amd64/almalinux:8
-        DOCKER_GPU_BUILD_ARG="--build-arg BASE_CUDA_VERSION=${GPU_ARCH_VERSION} --build-arg DEVTOOLSET_VERSION=11"
-        MANY_LINUX_VERSION="2_28"
-        ;;
-    manylinux2_28-builder:cuda12*)
-        TARGET=cuda_final
-        GPU_IMAGE=amd64/almalinux:8
-        DOCKER_GPU_BUILD_ARG="--build-arg BASE_CUDA_VERSION=${GPU_ARCH_VERSION} --build-arg DEVTOOLSET_VERSION=13"
-        MANY_LINUX_VERSION="2_28"
-        ;;
-    manylinuxaarch64-builder:cuda*)
-        TARGET=cuda_final
-        GPU_IMAGE=amd64/almalinux:8
-        DOCKER_GPU_BUILD_ARG="--build-arg BASE_CUDA_VERSION=${GPU_ARCH_VERSION} --build-arg DEVTOOLSET_VERSION=13"
-        MANY_LINUX_VERSION="aarch64"
-        DOCKERFILE_SUFFIX="_cuda_aarch64"
-        ;;
-    manylinux2_28-builder:rocm*)
-        TARGET=rocm_final
-        MANY_LINUX_VERSION="2_28"
-        DEVTOOLSET_VERSION="11"
-        GPU_IMAGE=rocm/dev-almalinux-8:${GPU_ARCH_VERSION}-complete
-        PYTORCH_ROCM_ARCH="gfx900;gfx906;gfx908;gfx90a;gfx942;gfx1030;gfx1100;gfx1101;gfx1102;gfx1200;gfx1201"
-        DOCKER_GPU_BUILD_ARG="--build-arg ROCM_VERSION=${GPU_ARCH_VERSION} --build-arg PYTORCH_ROCM_ARCH=${PYTORCH_ROCM_ARCH} --build-arg DEVTOOLSET_VERSION=${DEVTOOLSET_VERSION}"
-        ;;
-    manylinux2_28-builder:xpu)
-        TARGET=xpu_final
-        GPU_IMAGE=amd64/almalinux:8
-        DOCKER_GPU_BUILD_ARG=" --build-arg DEVTOOLSET_VERSION=11"
-        MANY_LINUX_VERSION="2_28"
-        ;;
-    *)
-        echo "ERROR: Unrecognized image name: ${image}"
-        exit 1
-        ;;
-esac
-
-if [[ -n ${MANY_LINUX_VERSION} && -z ${DOCKERFILE_SUFFIX} ]]; then
-    DOCKERFILE_SUFFIX=_${MANY_LINUX_VERSION}
-fi
-# Only activate this if in CI
-if [ "$(uname -m)" != "s390x" ] && [ -v CI ]; then
-    # TODO: Remove LimitNOFILE=1048576 patch once https://github.com/pytorch/test-infra/issues/5712
-    # is resolved. This patch is required in order to fix timing out of Docker build on Amazon Linux 2023.
-    sudo sed -i s/LimitNOFILE=infinity/LimitNOFILE=1048576/ /usr/lib/systemd/system/docker.service
-    sudo systemctl daemon-reload
-    sudo systemctl restart docker
-fi
-
-tmp_tag=$(basename "$(mktemp -u)" | tr '[:upper:]' '[:lower:]')
-
-DOCKER_BUILDKIT=1 docker build  \
-    ${DOCKER_GPU_BUILD_ARG} \
-    --build-arg "GPU_IMAGE=${GPU_IMAGE}" \
-    --target "${TARGET}" \
-    -t "${tmp_tag}" \
-    $@ \
-    -f "${TOPDIR}/.ci/docker/manywheel/Dockerfile${DOCKERFILE_SUFFIX}" \
-    "${TOPDIR}/.ci/docker/"

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

@@ -1,118 +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
-
-# 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 libpcap-devel xz-devel libffi-devel"
-
-if [ "$(uname -m)" != "s390x" ] ; then
-    PYTHON_COMPILE_DEPS="${PYTHON_COMPILE_DEPS} db4-devel"
-else
-    PYTHON_COMPILE_DEPS="${PYTHON_COMPILE_DEPS} libdb-devel"
-fi
-
-# Libraries that are allowed as part of the manylinux1 profile
-MANYLINUX1_DEPS="glibc-devel libstdc++-devel glib2-devel libX11-devel libXext-devel libXrender-devel  mesa-libGL-devel libICE-devel libSM-devel ncurses-devel"
-
-# Get build utilities
-MY_DIR=$(dirname "${BASH_SOURCE[0]}")
-source $MY_DIR/build_utils.sh
-
-# Development tools and libraries
-yum -y install bzip2 make git patch unzip bison yasm diffutils \
-    automake which file \
-    ${PYTHON_COMPILE_DEPS}
-
-# 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
-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
-
-# 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  # @lint-ignore
-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/  # @lint-ignore
-CURL_DOWNLOAD_URL=https://curl.se/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

@@ -1,31 +0,0 @@
-# cf. https://github.com/pypa/manylinux/issues/53
-
-import sys
-from urllib.request import urlopen
-
-
-GOOD_SSL = "https://google.com"
-BAD_SSL = "https://self-signed.badssl.com"
-
-
-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)
-
-
-EXC = OSError
-
-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

@@ -5,7 +5,7 @@
 #Pinned versions: 1.6
 #test that import:
 
-boto3==1.35.42
+boto3==1.19.12
 #Description: AWS SDK for python
 #Pinned versions: 1.19.12, 1.16.34
 #test that import:
@@ -30,25 +30,17 @@ dill==0.3.7
 #Pinned versions: 0.3.7
 #test that import: dynamo/test_replay_record.py test_dataloader.py test_datapipe.py test_serialization.py
 
-expecttest==0.3.0
+expecttest==0.1.6
 #Description: method for writing tests where test framework auto populates
 # the expected output based on previous runs
-#Pinned versions: 0.3.0
-#test that import:
-
-fbscribelogger==0.1.7
-#Description: write to scribe from authenticated jobs on CI
 #Pinned versions: 0.1.6
 #test that import:
 
-flatbuffers==2.0 ; platform_machine != "s390x"
+flatbuffers==2.0
 #Description: cross platform serialization library
 #Pinned versions: 2.0
 #test that import:
 
-flatbuffers ; platform_machine == "s390x"
-#Description: cross platform serialization library; Newer version is required on s390x for new python version
-
 hypothesis==5.35.1
 # Pin hypothesis to avoid flakiness: https://github.com/pytorch/pytorch/issues/31136
 #Description: advanced library for generating parametrized tests
@@ -93,10 +85,10 @@ librosa>=0.6.2 ; python_version < "3.11"
 #Pinned versions:
 #test that import:
 
-mypy==1.15.0
+mypy==1.9.0
 # Pin MyPy version because new errors are likely to appear with each release
 #Description: linter
-#Pinned versions: 1.14.0
+#Pinned versions: 1.9.0
 #test that import: test_typing.py, test_type_hints.py
 
 networkx==2.8.8
@@ -105,14 +97,14 @@ networkx==2.8.8
 #Pinned versions: 2.8.8
 #test that import: functorch
 
-ninja==1.11.1.3
-#Description: build system. Used in some tests. Used in build to generate build
-#time tracing information
-#Pinned versions: 1.11.1.3
+#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==0.54.1 ; 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
@@ -121,7 +113,7 @@ numba==0.55.2 ; python_version == "3.10"
 
 #numpy
 #Description: Provides N-dimensional arrays and linear algebra
-#Pinned versions: 1.26.2
+#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,
@@ -131,12 +123,6 @@ numba==0.55.2 ; python_version == "3.10"
 #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
-numpy==1.22.4; python_version == "3.9" or python_version == "3.10"
-numpy==1.26.2; python_version == "3.11" or python_version == "3.12"
-numpy==2.1.2; python_version >= "3.13"
-
-pandas==2.0.3; python_version < "3.13"
-pandas==2.2.3; python_version >= "3.13"
 
 #onnxruntime
 #Description: scoring engine for Open Neural Network Exchange (ONNX) models
@@ -148,9 +134,9 @@ opt-einsum==3.3
 #Pinned versions: 3.3
 #test that import: test_linalg.py
 
-optree==0.13.0
+optree==0.11.0
 #Description: A library for tree manipulation
-#Pinned versions: 0.13.0
+#Pinned versions: 0.11.0
 #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,
@@ -161,15 +147,15 @@ optree==0.13.0
 #test_pointwise_ops.py, test_dtensor_ops.py, test_torchinductor.py, test_fx.py,
 #test_fake_tensor.py, test_mps.py
 
-pillow==11.0.0
+pillow==10.3.0
 #Description:  Python Imaging Library fork
 #Pinned versions: 10.3.0
 #test that import:
 
-protobuf==5.29.4
-#Description:  Google's data interchange format
-#Pinned versions: 5.29.4
-#test that import: test_tensorboard.py, test/onnx/*
+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
@@ -196,11 +182,6 @@ pytest-rerunfailures>=10.3
 #Pinned versions:
 #test that import:
 
-pytest-subtests==0.13.1
-#Description: plugin for subtest support
-#Pinned versions:
-#test that import:
-
 #pytest-benchmark
 #Description: fixture for benchmarking code
 #Pinned versions: 3.2.3
@@ -237,7 +218,7 @@ pygments==2.15.0
 #test that import:
 
 scikit-image==0.19.3 ; python_version < "3.10"
-scikit-image==0.22.0 ; python_version >= "3.10"
+scikit-image==0.20.0 ; python_version >= "3.10"
 #Description: image processing routines
 #Pinned versions:
 #test that import: test_nn.py
@@ -248,7 +229,7 @@ scikit-image==0.22.0 ; python_version >= "3.10"
 #test that import:
 
 scipy==1.10.1 ; python_version <= "3.11"
-scipy==1.14.1 ; python_version >= "3.12"
+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
@@ -267,7 +248,7 @@ tb-nightly==2.13.0a20230426
 #test that import:
 
 # needed by torchgen utils
-typing-extensions>=4.10.0
+typing-extensions
 #Description: type hints for python
 #Pinned versions:
 #test that import:
@@ -283,21 +264,22 @@ unittest-xml-reporting<=3.2.0,>=2.0.0
 #test that import:
 
 #lintrunner is supported on aarch64-linux only from 0.12.4 version
-lintrunner==0.12.7
+lintrunner==0.12.5
 #Description: all about linters!
-#Pinned versions: 0.12.7
+#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==3.1.6
+jinja2==3.1.4
 #Description: jinja2 template engine
 #Pinned versions: 3.1.4
 #test that import:
@@ -307,78 +289,26 @@ pytest-cpp==2.3.0
 #Pinned versions: 2.3.0
 #test that import:
 
-z3-solver==4.12.6.0
+z3-solver==4.12.2.0
 #Description: The Z3 Theorem Prover Project
 #Pinned versions:
 #test that import:
 
-tensorboard==2.13.0 ; python_version < "3.13"
-tensorboard==2.18.0 ; python_version >= "3.13"
+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==1.7.0 ; 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==5.3.0
+lxml==5.0.0.
 #Description: This is a requirement of unittest-xml-reporting
 
 # Python-3.9 binaries
 
 PyGithub==2.3.0
-
-sympy==1.13.3
-#Description: Required by coremltools, also pinned in .github/requirements/pip-requirements-macOS.txt
-#Pinned versions:
-#test that import:
-
-onnx==1.18.0
-#Description: Required by onnx tests, and mypy and test_public_bindings.py when checking torch.onnx._internal
-#Pinned versions:
-#test that import:
-
-onnxscript==0.2.6
-#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:
-
-#Description: required for testing torch/distributed/_tools/sac_estimator.py
-#Pinned versions: 1.24.0
-#test that import: test_sac_estimator.py
-
-pwlf==2.2.1
-#Description: required for testing torch/distributed/_tools/sac_estimator.py
-#Pinned versions: 2.2.1
-#test that import: test_sac_estimator.py
-
-
-# To build PyTorch itself
-astunparse
-PyYAML
-pyzstd
-setuptools
-
-scons==4.5.2 ; platform_machine == "aarch64"
-
-pulp==2.9.0
-#Description: required for testing ilp formulaiton under torch/distributed/_tools
-#Pinned versions: 2.9.0
-#test that import: test_sac_ilp.py
-
-dataclasses_json==0.6.7
-#Description: required for data pipeline and scripts under tools/stats
-#Pinned versions: 0.6.7
-#test that import:
-
-cmake==4.0.0
-#Description: required for building

.ci/docker/requirements-docs.txt

@@ -1,30 +1,20 @@
 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@pytorch_sphinx_theme2#egg=pytorch_sphinx_theme2
+-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
 
-sphinxext-opengraph==0.9.1
-#Description: This is used to generate PyTorch docs
-#Pinned versions: 0.9.1
-
-sphinx_sitemap==2.6.0
-#Description: This is used to generate sitemap for PyTorch docs
-#Pinned versions: 2.6.0
-
 matplotlib==3.5.3
 #Description: This is used to generate PyTorch docs
 #Pinned versions: 3.5.3
 
-tensorboard==2.13.0 ; python_version < "3.13"
-tensorboard==2.18.0 ; python_version >= "3.13"
+tensorboard==2.13.0
 #Description: This is used to generate PyTorch docs
 #Pinned versions: 2.13.0
 
@@ -55,6 +45,5 @@ myst-nb==0.17.2
 # The following are required to build torch.distributed.elastic.rendezvous.etcd* docs
 python-etcd==0.4.5
 sphinx-copybutton==0.5.0
-sphinx-design==0.4.0
-sphinxcontrib-mermaid==1.0.0
+sphinx-panels==0.4.1
 myst-parser==0.18.1

.ci/docker/triton_version.txt

@@ -1 +1 @@
-3.3.1
+3.0.0

.ci/docker/ubuntu-cuda/Dockerfile

@@ -2,7 +2,7 @@ ARG UBUNTU_VERSION
 ARG CUDA_VERSION
 ARG IMAGE_NAME
 
-FROM ${IMAGE_NAME} as base
+FROM ${IMAGE_NAME}
 
 ARG UBUNTU_VERSION
 ARG CUDA_VERSION
@@ -26,11 +26,11 @@ RUN bash ./install_docs_reqs.sh && rm install_docs_reqs.sh
 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
-COPY ./common/install_magma_conda.sh install_magma_conda.sh
-RUN bash ./install_conda.sh && rm install_conda.sh install_magma_conda.sh common_utils.sh /opt/conda/requirements-ci.txt
+RUN bash ./install_conda.sh && rm install_conda.sh common_utils.sh /opt/conda/requirements-ci.txt
 
 # Install gcc
 ARG GCC_VERSION
@@ -42,6 +42,20 @@ 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 ./
@@ -66,8 +80,6 @@ RUN bash ./install_openssl.sh
 ENV OPENSSL_DIR /opt/openssl
 
 ARG INDUCTOR_BENCHMARKS
-ARG ANACONDA_PYTHON_VERSION
-ENV ANACONDA_PYTHON_VERSION=$ANACONDA_PYTHON_VERSION
 COPY ./common/install_inductor_benchmark_deps.sh install_inductor_benchmark_deps.sh
 COPY ./common/common_utils.sh common_utils.sh
 COPY ci_commit_pins/huggingface.txt huggingface.txt
@@ -75,29 +87,21 @@ COPY ci_commit_pins/timm.txt timm.txt
 RUN if [ -n "${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
+# (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
 
-FROM base as triton-builder
+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 bash ./install_triton.sh
-
-FROM base as final
-COPY --from=triton-builder /opt/triton /opt/triton
-RUN if [ -n "${TRITON}" ]; then pip install /opt/triton/*.whl; chown -R jenkins:jenkins /opt/conda; fi
-RUN rm -rf /opt/triton
-
-ARG HALIDE
-# Build and install halide
-COPY ./common/install_halide.sh install_halide.sh
-COPY ./common/common_utils.sh common_utils.sh
-COPY ci_commit_pins/halide.txt halide.txt
-RUN if [ -n "${HALIDE}" ]; then bash ./install_halide.sh; fi
-RUN rm install_halide.sh common_utils.sh halide.txt
+RUN if [ -n "${TRITON}" ]; then bash ./install_triton.sh; fi
+RUN rm install_triton.sh common_utils.sh triton.txt triton_version.txt
 
 # Install ccache/sccache (do this last, so we get priority in PATH)
 COPY ./common/install_cache.sh install_cache.sh
@@ -144,22 +148,6 @@ COPY ./common/install_cusparselt.sh install_cusparselt.sh
 RUN bash install_cusparselt.sh
 RUN rm install_cusparselt.sh
 
-# Install NCCL
-ARG CUDA_VERSION
-COPY ./common/install_nccl.sh install_nccl.sh
-COPY ./ci_commit_pins/nccl-cu* /ci_commit_pins/
-RUN bash install_nccl.sh
-RUN rm install_nccl.sh /ci_commit_pins/nccl-cu*
-ENV USE_SYSTEM_NCCL=1
-ENV NCCL_INCLUDE_DIR="/usr/local/cuda/include/"
-ENV NCCL_LIB_DIR="/usr/local/cuda/lib64/"
-
-# 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

.ci/docker/ubuntu-rocm/Dockerfile

@@ -14,17 +14,19 @@ ENV PYTORCH_ROCM_ARCH ${PYTORCH_ROCM_ARCH}
 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 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
 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
@@ -37,10 +39,19 @@ 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
@@ -55,10 +66,8 @@ 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 ${ROCM_VERSION}
+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
@@ -74,31 +83,11 @@ COPY ./common/install_amdsmi.sh install_amdsmi.sh
 RUN bash ./install_amdsmi.sh
 RUN rm install_amdsmi.sh
 
-# (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 "${UCC_COMMIT}" ]; then bash ./install_ucc.sh; fi
-RUN rm install_ucc.sh
-
-COPY ./common/install_openssl.sh install_openssl.sh
-ENV OPENSSL_ROOT_DIR /opt/openssl
-RUN bash ./install_openssl.sh
-ENV OPENSSL_DIR /opt/openssl
-
-ARG INDUCTOR_BENCHMARKS
-ARG ANACONDA_PYTHON_VERSION
-ENV ANACONDA_PYTHON_VERSION=$ANACONDA_PYTHON_VERSION
-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
 
 # (optional) Install non-default Ninja version
 ARG NINJA_VERSION
@@ -111,28 +100,26 @@ ARG TRITON
 # 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 ci_commit_pins/triton-rocm.txt triton-rocm.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
-
+RUN rm install_triton.sh common_utils.sh triton-rocm.txt triton_version.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
 RUN bash ./install_cache.sh && rm install_cache.sh
 
-# Install Open MPI for ROCm
-COPY ./common/install_openmpi.sh install_openmpi.sh
-RUN if [ -n "${CUDA_VERSION}" ]; then bash install_openmpi.sh; fi
-RUN rm install_openmpi.sh
+# Install AOTriton
+COPY ci_commit_pins/aotriton.txt aotriton.txt
+COPY ./common/common_utils.sh common_utils.sh
+COPY ./common/install_aotriton.sh install_aotriton.sh
+RUN bash ./install_aotriton.sh /opt/rocm/aotriton && rm -rf install_aotriton.sh aotriton aotriton.txt common_utils.sh
+ENV AOTRITON_INSTALLED_PREFIX /opt/rocm/aotriton
 
 # 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

@@ -28,8 +28,8 @@ 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
@@ -76,6 +76,13 @@ 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 ${DB}
+
 # (optional) Install vision packages like OpenCV
 ARG VISION
 COPY ./common/install_vision.sh ./common/cache_vision_models.sh ./common/common_utils.sh ./
@@ -83,6 +90,12 @@ RUN if [ -n "${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

.ci/docker/ubuntu/Dockerfile

@@ -1,6 +1,6 @@
 ARG UBUNTU_VERSION
 
-FROM ubuntu:${UBUNTU_VERSION} as base
+FROM ubuntu:${UBUNTU_VERSION}
 
 ARG UBUNTU_VERSION
 
@@ -28,6 +28,7 @@ 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:$PATH
@@ -35,8 +36,7 @@ ENV DOCS=$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
-COPY ./common/install_magma_conda.sh install_magma_conda.sh
-RUN bash ./install_conda.sh && rm install_conda.sh install_magma_conda.sh common_utils.sh /opt/conda/requirements-ci.txt /opt/conda/requirements-docs.txt
+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
@@ -50,18 +50,10 @@ RUN  bash ./install_lcov.sh && rm install_lcov.sh
 
 # Install cuda and cudnn
 ARG CUDA_VERSION
-COPY ./common/install_cuda.sh install_cuda.sh
-COPY ./common/install_nccl.sh install_nccl.sh
-COPY ./ci_commit_pins/nccl-cu* /ci_commit_pins/
-COPY ./common/install_cusparselt.sh install_cusparselt.sh
-RUN bash ./install_cuda.sh ${CUDA_VERSION} && rm install_cuda.sh install_nccl.sh /ci_commit_pins/nccl-cu* install_cusparselt.sh
+RUN wget -q https://raw.githubusercontent.com/pytorch/builder/main/common/install_cuda.sh -O 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
-# No effect if cuda not installed
-ENV USE_SYSTEM_NCCL=1
-ENV NCCL_INCLUDE_DIR="/usr/local/cuda/include/"
-ENV NCCL_LIB_DIR="/usr/local/cuda/lib64/"
-
 
 # (optional) Install UCC
 ARG UCX_COMMIT
@@ -74,6 +66,20 @@ 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 ${DB}
+
 # (optional) Install vision packages like OpenCV
 ARG VISION
 COPY ./common/install_vision.sh ./common/cache_vision_models.sh ./common/common_utils.sh ./
@@ -81,6 +87,37 @@ RUN if [ -n "${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
@@ -102,21 +139,13 @@ RUN if [ -n "${INDUCTOR_BENCHMARKS}" ]; then bash ./install_inductor_benchmark_d
 RUN rm install_inductor_benchmark_deps.sh common_utils.sh timm.txt huggingface.txt
 
 ARG TRITON
-ARG TRITON_CPU
-
-# Create a separate stage for building Triton and Triton-CPU.  install_triton
-# will check for the presence of env vars
-FROM base as triton-builder
+# 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 ci_commit_pins/triton-cpu.txt triton-cpu.txt
-RUN bash ./install_triton.sh
-
-FROM base as final
-COPY --from=triton-builder /opt/triton /opt/triton
-RUN if [ -n "${TRITON}" ] || [ -n "${TRITON_CPU}" ]; then pip install /opt/triton/*.whl; chown -R jenkins:jenkins /opt/conda; fi
-RUN rm -rf /opt/triton
+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
@@ -126,14 +155,6 @@ 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 ./

.ci/libtorch/build.sh

@@ -1,10 +0,0 @@
-#!/usr/bin/env bash
-
-# This is mostly just a shim to manywheel/build.sh
-# TODO: Make this a dedicated script to build just libtorch
-
-set -ex
-
-SCRIPTPATH="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
-
-USE_CUSPARSELT=0 BUILD_PYTHONLESS=1 DESIRED_PYTHON="3.9" ${SCRIPTPATH}/../manywheel/build.sh

.ci/magma-rocm/.gitignore

@@ -1,2 +0,0 @@
-output/
-magma-rocm*/

.ci/magma-rocm/Makefile

@@ -1,35 +0,0 @@
-SHELL=/usr/bin/env bash
-
-DOCKER_CMD ?= docker
-DESIRED_ROCM ?= 6.4
-DESIRED_ROCM_SHORT = $(subst .,,$(DESIRED_ROCM))
-PACKAGE_NAME = magma-rocm
-# inherit this from underlying docker image, do not pass this env var to docker
-#PYTORCH_ROCM_ARCH ?= gfx900;gfx906;gfx908;gfx90a;gfx942;gfx1030;gfx1100;gfx1101;gfx1102;gfx1200;gfx1201
-
-DOCKER_RUN = set -eou pipefail; ${DOCKER_CMD} run --rm -i \
-	-v $(shell git rev-parse --show-toplevel)/.ci:/builder \
-	-w /builder \
-	-e PACKAGE_NAME=${PACKAGE_NAME}${DESIRED_ROCM_SHORT} \
-	-e DESIRED_ROCM=${DESIRED_ROCM} \
-	"pytorch/almalinux-builder:rocm${DESIRED_ROCM}" \
-	magma-rocm/build_magma.sh
-
-.PHONY: all
-all: magma-rocm64
-all: magma-rocm63
-
-.PHONY:
-clean:
-	$(RM) -r magma-*
-	$(RM) -r output
-
-.PHONY: magma-rocm64
-magma-rocm64: DESIRED_ROCM := 6.4
-magma-rocm64:
-	$(DOCKER_RUN)
-
-.PHONY: magma-rocm63
-magma-rocm63: DESIRED_ROCM := 6.3
-magma-rocm63:
-	$(DOCKER_RUN)

.ci/magma-rocm/README.md

@@ -1,48 +0,0 @@
-# Magma ROCm
-
-This folder contains the scripts and configurations to build libmagma.so, linked for various versions of ROCm.
-
-## Building
-
-Look in the `Makefile` for available targets to build. To build any target, for example `magma-rocm63`, run
-
-```
-# Using `docker`
-make magma-rocm63
-
-# Using `podman`
-DOCKER_CMD=podman make magma-rocm63
-```
-
-This spawns a `pytorch/manylinux-rocm<version>` docker image, which has the required `devtoolset` and ROCm versions installed.
-Within the docker image, it runs `build_magma.sh` with the correct environment variables set, which package the necessary files
-into a tarball, with the following structure:
-
-```
-.
-├── include       # header files
-├── lib           # libmagma.so
-├── info
-│   ├── licenses  # license file
-│   └── recipe    # build script
-```
-
-More specifically, `build_magma.sh` copies over the relevant files from the `package_files` directory depending on the ROCm version.
-Outputted binaries should be in the `output` folder.
-
-
-## Pushing
-
-Packages can be uploaded to an S3 bucket using:
-
-```
-aws s3 cp output/*/magma-cuda*.bz2 <bucket-with-path>
-```
-
-If you do not have upload permissions, please ping @seemethere or @soumith to gain access
-
-## New versions
-
-New ROCm versions can be added by creating a new make target with the next desired version. For ROCm version N.n, the target should be named `magma-rocmNn`.
-
-Make sure to edit the appropriate environment variables (e.g., DESIRED_ROCM) in the `Makefile` accordingly. Remember also to check `build_magma.sh` to ensure the logic for copying over the files remains correct.

.ci/magma-rocm/build_magma.sh

@@ -1,42 +0,0 @@
-#!/usr/bin/env bash
-
-set -eou pipefail
-
-# Environment variables
-# The script expects DESIRED_CUDA and PACKAGE_NAME to be set
-ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
-
-# Version 2.7.2 + ROCm related updates
-MAGMA_VERSION=a1625ff4d9bc362906bd01f805dbbe12612953f6
-
-# Folders for the build
-PACKAGE_FILES=${ROOT_DIR}/magma-rocm/package_files # metadata
-PACKAGE_DIR=${ROOT_DIR}/magma-rocm/${PACKAGE_NAME} # build workspace
-PACKAGE_OUTPUT=${ROOT_DIR}/magma-rocm/output # where tarballs are stored
-PACKAGE_BUILD=${PACKAGE_DIR} # where the content of the tarball is prepared
-PACKAGE_RECIPE=${PACKAGE_BUILD}/info/recipe
-PACKAGE_LICENSE=${PACKAGE_BUILD}/info/licenses
-mkdir -p ${PACKAGE_DIR} ${PACKAGE_OUTPUT}/linux-64 ${PACKAGE_BUILD} ${PACKAGE_RECIPE} ${PACKAGE_LICENSE}
-
-# Fetch magma sources and verify checksum
-pushd ${PACKAGE_DIR}
-git clone https://bitbucket.org/icl/magma.git
-pushd magma
-git checkout ${MAGMA_VERSION}
-popd
-popd
-
-# build
-pushd ${PACKAGE_DIR}/magma
-# The build.sh script expects to be executed from the sources root folder
-INSTALL_DIR=${PACKAGE_BUILD} ${PACKAGE_FILES}/build.sh
-popd
-
-# Package recipe, license and tarball
-# Folder and package name are backward compatible for the build workflow
-cp ${PACKAGE_FILES}/build.sh ${PACKAGE_RECIPE}/build.sh
-cp ${PACKAGE_DIR}/magma/COPYRIGHT ${PACKAGE_LICENSE}/COPYRIGHT
-pushd ${PACKAGE_BUILD}
-tar cjf ${PACKAGE_OUTPUT}/linux-64/${PACKAGE_NAME}-${MAGMA_VERSION}-1.tar.bz2 include lib info
-echo Built in ${PACKAGE_OUTPUT}/linux-64/${PACKAGE_NAME}-${MAGMA_VERSION}-1.tar.bz2
-popd

.ci/magma-rocm/package_files/build.sh

@@ -1,38 +0,0 @@
-# Magma build scripts need `python`
-ln -sf /usr/bin/python3 /usr/bin/python
-
-ID=$(grep -oP '(?<=^ID=).+' /etc/os-release | tr -d '"')
-case "$ID" in
-  almalinux)
-    yum install -y gcc-gfortran
-    ;;
-  *)
-    echo "No preinstalls to build magma..."
-    ;;
-esac
-
-MKLROOT=${MKLROOT:-/opt/conda/envs/py_$ANACONDA_PYTHON_VERSION}
-
-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}"
-cp -R lib ${INSTALL_DIR}
-cp -R include ${INSTALL_DIR}

.ci/magma/.gitignore

@@ -1,2 +0,0 @@
-output/
-magma-cuda*/

.ci/magma/Makefile

@@ -1,43 +0,0 @@
-SHELL=/usr/bin/env bash
-
-DOCKER_CMD ?= docker
-DESIRED_CUDA ?= 11.8
-DESIRED_CUDA_SHORT = $(subst .,,$(DESIRED_CUDA))
-PACKAGE_NAME = magma-cuda
-CUDA_ARCH_LIST ?= -gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90
-
-DOCKER_RUN = set -eou pipefail; ${DOCKER_CMD} run --rm -i \
-	-v $(shell git rev-parse --show-toplevel)/.ci:/builder \
-	-w /builder \
-	-e PACKAGE_NAME=${PACKAGE_NAME}${DESIRED_CUDA_SHORT} \
-	-e DESIRED_CUDA=${DESIRED_CUDA} \
-	-e CUDA_ARCH_LIST="${CUDA_ARCH_LIST}" \
-	"pytorch/almalinux-builder:cuda${DESIRED_CUDA}-main" \
-	magma/build_magma.sh
-
-.PHONY: all
-all: magma-cuda128
-all: magma-cuda126
-all: magma-cuda118
-
-.PHONY:
-clean:
-	$(RM) -r magma-*
-	$(RM) -r output
-
-.PHONY: magma-cuda128
-magma-cuda128: DESIRED_CUDA := 12.8
-magma-cuda128: CUDA_ARCH_LIST += -gencode arch=compute_100,code=sm_100 -gencode arch=compute_120,code=sm_120
-magma-cuda128:
-	$(DOCKER_RUN)
-
-.PHONY: magma-cuda126
-magma-cuda126: DESIRED_CUDA := 12.6
-magma-cuda126:
-	$(DOCKER_RUN)
-
-.PHONY: magma-cuda118
-magma-cuda118: DESIRED_CUDA := 11.8
-magma-cuda118: CUDA_ARCH_LIST += -gencode arch=compute_37,code=sm_37
-magma-cuda118:
-	$(DOCKER_RUN)

.ci/magma/README.md

@@ -1,50 +0,0 @@
-# Magma
-
-This folder contains the scripts and configurations to build magma, statically linked for various versions of CUDA.
-
-## Building
-
-Look in the `Makefile` for available targets to build. To build any target, for example `magma-cuda118`, run
-
-```
-# Using `docker`
-make magma-cuda118
-
-# Using `podman`
-DOCKER_CMD=podman make magma-cuda118
-```
-
-This spawns a `pytorch/manylinux-cuda<version>` docker image, which has the required `devtoolset` and CUDA versions installed.
-Within the docker image, it runs `build_magma.sh` with the correct environment variables set, which package the necessary files
-into a tarball, with the following structure:
-
-```
-.
-├── include       # header files
-├── lib           # libmagma.a
-├── info
-│   ├── licenses  # license file
-│   └── recipe    # build script and patches
-```
-
-More specifically, `build_magma.sh` copies over the relevant files from the `package_files` directory depending on the CUDA version.
-Outputted binaries should be in the `output` folder.
-
-
-## Pushing
-
-Packages can be uploaded to an S3 bucket using:
-
-```
-aws s3 cp output/*/magma-cuda*.bz2 <bucket-with-path>
-```
-
-If you do not have upload permissions, please ping @seemethere or @soumith to gain access
-
-## New versions
-
-New CUDA versions can be added by creating a new make target with the next desired version. For CUDA version NN.n, the target should be named `magma-cudaNNn`.
-
-Make sure to edit the appropriate environment variables (e.g., DESIRED_CUDA, CUDA_ARCH_LIST) in the `Makefile` accordingly. Remember also to check `build_magma.sh` to ensure the logic for copying over the files remains correct.
-
-New patches can be added by editing `Makefile` and`build_magma.sh` the same way `getrf_nbparam.patch` is implemented.

.ci/magma/build_magma.sh

@@ -1,50 +0,0 @@
-#!/usr/bin/env bash
-
-set -eou pipefail
-
-# Environment variables
-# The script expects DESIRED_CUDA and PACKAGE_NAME to be set
-ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
-MAGMA_VERSION=2.6.1
-
-# Folders for the build
-PACKAGE_FILES=${ROOT_DIR}/magma/package_files # source patches and metadata
-PACKAGE_DIR=${ROOT_DIR}/magma/${PACKAGE_NAME} # build workspace
-PACKAGE_OUTPUT=${ROOT_DIR}/magma/output # where tarballs are stored
-PACKAGE_BUILD=${PACKAGE_DIR}/build # where the content of the tarball is prepared
-PACKAGE_RECIPE=${PACKAGE_BUILD}/info/recipe
-PACKAGE_LICENSE=${PACKAGE_BUILD}/info/licenses
-mkdir -p ${PACKAGE_DIR} ${PACKAGE_OUTPUT}/linux-64 ${PACKAGE_BUILD} ${PACKAGE_RECIPE} ${PACKAGE_LICENSE}
-
-# Fetch magma sources and verify checksum
-pushd ${PACKAGE_DIR}
-curl -LO http://icl.utk.edu/projectsfiles/magma/downloads/magma-${MAGMA_VERSION}.tar.gz
-tar zxf magma-${MAGMA_VERSION}.tar.gz
-sha256sum --check < ${PACKAGE_FILES}/magma-${MAGMA_VERSION}.sha256
-popd
-
-# Apply patches and build
-pushd ${PACKAGE_DIR}/magma-${MAGMA_VERSION}
-patch < ${PACKAGE_FILES}/CMake.patch
-patch < ${PACKAGE_FILES}/cmakelists.patch
-patch -p0 < ${PACKAGE_FILES}/thread_queue.patch
-patch -p1 < ${PACKAGE_FILES}/getrf_shfl.patch
-patch -p1 < ${PACKAGE_FILES}/getrf_nbparam.patch
-# The build.sh script expects to be executed from the sources root folder
-INSTALL_DIR=${PACKAGE_BUILD} ${PACKAGE_FILES}/build.sh
-popd
-
-# Package recipe, license and tarball
-# Folder and package name are backward compatible for the build workflow
-cp ${PACKAGE_FILES}/build.sh ${PACKAGE_RECIPE}/build.sh
-cp ${PACKAGE_FILES}/thread_queue.patch ${PACKAGE_RECIPE}/thread_queue.patch
-cp ${PACKAGE_FILES}/cmakelists.patch ${PACKAGE_RECIPE}/cmakelists.patch
-cp ${PACKAGE_FILES}/getrf_shfl.patch ${PACKAGE_RECIPE}/getrf_shfl.patch
-cp ${PACKAGE_FILES}/getrf_nbparam.patch ${PACKAGE_RECIPE}/getrf_nbparam.patch
-cp ${PACKAGE_FILES}/CMake.patch ${PACKAGE_RECIPE}/CMake.patch
-cp ${PACKAGE_FILES}/magma-${MAGMA_VERSION}.sha256 ${PACKAGE_RECIPE}/magma-${MAGMA_VERSION}.sha256
-cp ${PACKAGE_DIR}/magma-${MAGMA_VERSION}/COPYRIGHT ${PACKAGE_LICENSE}/COPYRIGHT
-pushd ${PACKAGE_BUILD}
-tar cjf ${PACKAGE_OUTPUT}/linux-64/${PACKAGE_NAME}-${MAGMA_VERSION}-1.tar.bz2 include lib info
-echo Built in ${PACKAGE_OUTPUT}/linux-64/${PACKAGE_NAME}-${MAGMA_VERSION}-1.tar.bz2
-popd