Disable max-autotune for UT

TestSelectAlgorithmCPU.test_smooth_quant_with_int_mm_has_bias_True_bfloat16_per_channel_quant_True_dynamic_False_cpu_bfloat16 fails but passes in test_mkldnn_pattern_matcher.py

.ci/aarch64_linux/aarch64_ci_build.sh

@@ -3,11 +3,8 @@ 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
+# cuda arm build for Grace Hopper solely
+export TORCH_CUDA_ARCH_LIST="9.0"
 
 SCRIPTPATH="$( cd -- "$(dirname "$0")" >/dev/null 2>&1 ; pwd -P )"
 source $SCRIPTPATH/aarch64_ci_setup.sh
@@ -20,7 +17,7 @@ cd /
 # on the mounted pytorch repo
 git config --global --add safe.directory /pytorch
 pip install -r /pytorch/requirements.txt
-pip install auditwheel==6.2.0
+pip install auditwheel
 if [ "$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

.ci/aarch64_linux/aarch64_ci_setup.sh

@@ -5,14 +5,16 @@ set -eux -o pipefail
 # 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
+PYGIT2_VERSION=1.15.1
+if [[ "$DESIRED_PYTHON"  == "3.13" ]]; then
     NUMPY_VERSION=2.1.2
+    PYGIT2_VERSION=1.16.0
 fi
 
 SCRIPTPATH="$( cd "$(dirname "$0")" ; pwd -P )"
 source $SCRIPTPATH/../manywheel/set_desired_python.sh
 
-pip install -q numpy==${NUMPY_VERSION} pyyaml==6.0.2 scons==4.7.0 ninja==1.11.1 patchelf==0.17.2
+pip install -q numpy==${NUMPY_VERSION} pyyaml==6.0.2 scons==4.7.0 ninja==1.11.1 patchelf==0.17.2 pygit2==${PYGIT2_VERSION}
 
 for tool in python python3 pip pip3 ninja scons patchelf; do
     ln -sf ${DESIRED_PYTHON_BIN_DIR}/${tool} /usr/local/bin;

.ci/aarch64_linux/aarch64_wheel_ci_build.py

@@ -4,9 +4,12 @@
 import os
 import shutil
 from subprocess import check_call, check_output
+from typing import List
+
+from pygit2 import Repository
 
 
-def list_dir(path: str) -> list[str]:
+def list_dir(path: str) -> List[str]:
     """'
     Helper for getting paths for Python
     """
@@ -39,7 +42,7 @@ def build_ArmComputeLibrary() -> None:
             "clone",
             "https://github.com/ARM-software/ComputeLibrary.git",
             "-b",
-            "v25.02",
+            "v24.09",
             "--depth",
             "1",
             "--shallow-submodules",
@@ -55,7 +58,7 @@ def build_ArmComputeLibrary() -> None:
         shutil.copytree(f"{acl_checkout_dir}/{d}", f"{acl_install_dir}/{d}")
 
 
-def update_wheel(wheel_path, desired_cuda) -> None:
+def update_wheel(wheel_path) -> None:
     """
     Update the cuda wheel libraries
     """
@@ -77,6 +80,7 @@ def update_wheel(wheel_path, desired_cuda) -> None:
         "/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/libnvrtc-builtins.so.12.6",
         "/usr/local/cuda/lib64/libcudnn_adv.so.9",
         "/usr/local/cuda/lib64/libcudnn_cnn.so.9",
         "/usr/local/cuda/lib64/libcudnn_graph.so.9",
@@ -96,18 +100,6 @@ def update_wheel(wheel_path, desired_cuda) -> None:
             "/usr/local/lib/libnvpl_lapack_core.so.0",
             "/usr/local/lib/libnvpl_blas_core.so.0",
         ]
-        if "126" in desired_cuda:
-            libs_to_copy += [
-                "/usr/local/cuda/lib64/libnvrtc-builtins.so.12.6",
-                "/usr/local/cuda/lib64/libcufile.so.0",
-                "/usr/local/cuda/lib64/libcufile_rdma.so.1",
-            ]
-        elif "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",
-            ]
     else:
         libs_to_copy += [
             "/opt/OpenBLAS/lib/libopenblas.so.0",
@@ -136,9 +128,6 @@ def complete_wheel(folder: str) -> str:
     """
     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)
@@ -150,14 +139,7 @@ def complete_wheel(folder: str) -> str:
             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}",
-        )
+        repaired_wheel_name = wheel_name
 
     print(f"Copying {repaired_wheel_name} to artifacts")
     shutil.copy2(
@@ -189,22 +171,22 @@ if __name__ == "__main__":
     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()
+    repo = Repository("/pytorch")
+    branch = repo.head.name
+    if branch == "HEAD":
+        branch = "master"
 
     print("Building PyTorch wheel")
     build_vars = "MAX_JOBS=5 CMAKE_SHARED_LINKER_FLAGS=-Wl,-z,max-page-size=0x10000 "
     os.system("cd /pytorch; python setup.py clean")
 
     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"]:
+    elif branch in ["nightly", "master"]:
         build_date = (
             check_output(["git", "log", "--pretty=format:%cs", "-1"], cwd="/pytorch")
             .decode()
@@ -214,11 +196,12 @@ if __name__ == "__main__":
             check_output(["cat", "version.txt"], cwd="/pytorch").decode().strip()[:-2]
         )
         if enable_cuda:
+            desired_cuda = os.getenv("DESIRED_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 "
+        build_vars += f"BUILD_TEST=0 PYTORCH_BUILD_VERSION={branch[1:branch.find('-')]} PYTORCH_BUILD_NUMBER=1 "
 
     if enable_mkldnn:
         build_ArmComputeLibrary()
@@ -242,6 +225,6 @@ if __name__ == "__main__":
         print("Updating Cuda Dependency")
         filename = os.listdir("/pytorch/dist/")
         wheel_path = f"/pytorch/dist/{filename[0]}"
-        update_wheel(wheel_path, desired_cuda)
+        update_wheel(wheel_path)
     pytorch_wheel_name = complete_wheel("/pytorch/")
     print(f"Build Complete. Created {pytorch_wheel_name}..")

.ci/aarch64_linux/build_aarch64_wheel.py

@@ -12,22 +12,22 @@ import os
 import subprocess
 import sys
 import time
-from typing import Optional, Union
+from typing import Dict, List, Optional, Tuple, Union
 
 import boto3
 
 
 # AMI images for us-east-1, change the following based on your ~/.aws/config
 os_amis = {
+    "ubuntu18_04": "ami-078eece1d8119409f",  # login_name: ubuntu
     "ubuntu20_04": "ami-052eac90edaa9d08f",  # login_name: ubuntu
     "ubuntu22_04": "ami-0c6c29c5125214c77",  # login_name: ubuntu
     "redhat8": "ami-0698b90665a2ddcf1",  # login_name: ec2-user
 }
-
-ubuntu20_04_ami = os_amis["ubuntu20_04"]
+ubuntu18_04_ami = os_amis["ubuntu18_04"]
 
 
-def compute_keyfile_path(key_name: Optional[str] = None) -> tuple[str, str]:
+def compute_keyfile_path(key_name: Optional[str] = None) -> Tuple[str, str]:
     if key_name is None:
         key_name = os.getenv("AWS_KEY_NAME")
         if key_name is None:
@@ -57,7 +57,7 @@ def ec2_instances_by_id(instance_id):
 
 
 def start_instance(
-    key_name, ami=ubuntu20_04_ami, instance_type="t4g.2xlarge", ebs_size: int = 50
+    key_name, ami=ubuntu18_04_ami, instance_type="t4g.2xlarge", ebs_size: int = 50
 ):
     inst = ec2.create_instances(
         ImageId=ami,
@@ -96,7 +96,7 @@ class RemoteHost:
         self.keyfile_path = keyfile_path
         self.login_name = login_name
 
-    def _gen_ssh_prefix(self) -> list[str]:
+    def _gen_ssh_prefix(self) -> List[str]:
         return [
             "ssh",
             "-o",
@@ -108,13 +108,13 @@ class RemoteHost:
         ]
 
     @staticmethod
-    def _split_cmd(args: Union[str, list[str]]) -> list[str]:
+    def _split_cmd(args: Union[str, List[str]]) -> List[str]:
         return args.split() if isinstance(args, str) else args
 
-    def run_ssh_cmd(self, args: Union[str, list[str]]) -> None:
+    def run_ssh_cmd(self, args: Union[str, List[str]]) -> None:
         subprocess.check_call(self._gen_ssh_prefix() + self._split_cmd(args))
 
-    def check_ssh_output(self, args: Union[str, list[str]]) -> str:
+    def check_ssh_output(self, args: Union[str, List[str]]) -> str:
         return subprocess.check_output(
             self._gen_ssh_prefix() + self._split_cmd(args)
         ).decode("utf-8")
@@ -157,7 +157,7 @@ class RemoteHost:
     def using_docker(self) -> bool:
         return self.container_id is not None
 
-    def run_cmd(self, args: Union[str, list[str]]) -> None:
+    def run_cmd(self, args: Union[str, List[str]]) -> None:
         if not self.using_docker():
             return self.run_ssh_cmd(args)
         assert self.container_id is not None
@@ -178,7 +178,7 @@ class RemoteHost:
         if rc != 0:
             raise subprocess.CalledProcessError(rc, docker_cmd)
 
-    def check_output(self, args: Union[str, list[str]]) -> str:
+    def check_output(self, args: Union[str, List[str]]) -> str:
         if not self.using_docker():
             return self.check_ssh_output(args)
         assert self.container_id is not None
@@ -230,7 +230,7 @@ class RemoteHost:
             )
         self.download_file(remote_file, local_file)
 
-    def list_dir(self, path: str) -> list[str]:
+    def list_dir(self, path: str) -> List[str]:
         return self.check_output(["ls", "-1", path]).split("\n")
 
 
@@ -327,7 +327,7 @@ def build_ArmComputeLibrary(host: RemoteHost, git_clone_flags: str = "") -> None
         ]
     )
     host.run_cmd(
-        f"git clone https://github.com/ARM-software/ComputeLibrary.git -b v25.02 {git_clone_flags}"
+        f"git clone https://github.com/ARM-software/ComputeLibrary.git -b v24.09 {git_clone_flags}"
     )
 
     host.run_cmd(f"cd ComputeLibrary && scons Werror=1 -j8 {acl_build_flags}")
@@ -358,7 +358,7 @@ def checkout_repo(
     branch: str = "main",
     url: str,
     git_clone_flags: str,
-    mapping: dict[str, tuple[str, str]],
+    mapping: Dict[str, Tuple[str, str]],
 ) -> Optional[str]:
     for prefix in mapping:
         if not branch.startswith(prefix):
@@ -657,6 +657,18 @@ def configure_system(
             "sudo apt-get install -y python3-dev python3-yaml python3-setuptools python3-wheel python3-pip"
         )
     host.run_cmd("pip3 install dataclasses typing-extensions")
+    # Install and switch to gcc-8 on Ubuntu-18.04
+    if not host.using_docker() and host.ami == ubuntu18_04_ami and compiler == "gcc-8":
+        host.run_cmd("sudo apt-get install -y g++-8 gfortran-8")
+        host.run_cmd(
+            "sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-8 100"
+        )
+        host.run_cmd(
+            "sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-8 100"
+        )
+        host.run_cmd(
+            "sudo update-alternatives --install /usr/bin/gfortran gfortran /usr/bin/gfortran-8 100"
+        )
     if not use_conda:
         print("Installing Cython + numpy from PyPy")
         host.run_cmd("sudo pip3 install Cython")
@@ -669,7 +681,7 @@ def build_domains(
     branch: str = "main",
     use_conda: bool = True,
     git_clone_flags: str = "",
-) -> tuple[str, str, str, str]:
+) -> Tuple[str, str, str, str]:
     vision_wheel_name = build_torchvision(
         host, branch=branch, use_conda=use_conda, git_clone_flags=git_clone_flags
     )
@@ -696,7 +708,7 @@ def start_build(
     pytorch_build_number: Optional[str] = None,
     shallow_clone: bool = True,
     enable_mkldnn: bool = False,
-) -> tuple[str, str, str, str, str]:
+) -> Tuple[str, str, str, str, str]:
     git_clone_flags = " --depth 1 --shallow-submodules" if shallow_clone else ""
     if host.using_docker() and not use_conda:
         print("Auto-selecting conda option for docker images")
@@ -747,7 +759,7 @@ def start_build(
         version = host.check_output("cat pytorch/version.txt").strip()[:-2]
         build_vars += f"BUILD_TEST=0 PYTORCH_BUILD_VERSION={version}.dev{build_date} PYTORCH_BUILD_NUMBER=1"
     if branch.startswith(("v1.", "v2.")):
-        build_vars += f"BUILD_TEST=0 PYTORCH_BUILD_VERSION={branch[1 : branch.find('-')]} PYTORCH_BUILD_NUMBER=1"
+        build_vars += f"BUILD_TEST=0 PYTORCH_BUILD_VERSION={branch[1:branch.find('-')]} PYTORCH_BUILD_NUMBER=1"
     if host.using_docker():
         build_vars += " CMAKE_SHARED_LINKER_FLAGS=-Wl,-z,max-page-size=0x10000"
     if enable_mkldnn:
@@ -920,9 +932,9 @@ def parse_arguments():
     parser.add_argument("--debug", action="store_true")
     parser.add_argument("--build-only", action="store_true")
     parser.add_argument("--test-only", type=str)
-    group = parser.add_mutually_exclusive_group()
-    group.add_argument("--os", type=str, choices=list(os_amis.keys()))
-    group.add_argument("--ami", type=str)
+    parser.add_argument(
+        "--os", type=str, choices=list(os_amis.keys()), default="ubuntu20_04"
+    )
     parser.add_argument(
         "--python-version",
         type=str,
@@ -952,13 +964,7 @@ def parse_arguments():
 
 if __name__ == "__main__":
     args = parse_arguments()
-    ami = (
-        args.ami
-        if args.ami is not None
-        else os_amis[args.os]
-        if args.os is not None
-        else ubuntu20_04_ami
-    )
+    ami = os_amis[args.os]
     keyfile_path, key_name = compute_keyfile_path(args.key_name)
 
     if args.list_instances:
@@ -1012,7 +1018,7 @@ if __name__ == "__main__":
         install_condaforge_python(host, args.python_version)
         sys.exit(0)
 
-    python_version = args.python_version if args.python_version is not None else "3.9"
+    python_version = args.python_version if args.python_version is not None else "3.8"
 
     if args.use_torch_from_pypi:
         configure_system(host, compiler=args.compiler, python_version=python_version)

.ci/docker/almalinux/Dockerfile

@@ -44,8 +44,6 @@ FROM base as cuda
 ARG CUDA_VERSION=12.4
 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/
 ENV CUDA_HOME=/usr/local/cuda-${CUDA_VERSION}
 # Preserve CUDA_VERSION for the builds
 ENV CUDA_VERSION=${CUDA_VERSION}

.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
 
@@ -90,21 +86,32 @@ CMAKE_VERSION=3.18.5
 
 _UCX_COMMIT=7bb2722ff2187a0cad557ae4a6afa090569f83fb
 _UCC_COMMIT=20eae37090a4ce1b32bcce6144ccad0b49943e0b
-if [[ "$image" == *rocm* ]]; then
-  _UCX_COMMIT=cc312eaa4655c0cc5c2bcd796db938f90563bcf6
-  _UCC_COMMIT=0c0fc21559835044ab107199e334f7157d6a0d3d
-fi
 
 # It's annoying to rename jobs every time you want to rewrite a
 # configuration, so we hardcode everything here rather than do it
 # from scratch
 case "$image" in
-  pytorch-linux-focal-cuda12.6-cudnn9-py3-gcc11)
-    CUDA_VERSION=12.6.3
+  pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9)
+    CUDA_VERSION=12.4.1
     CUDNN_VERSION=9
     ANACONDA_PYTHON_VERSION=3.10
-    GCC_VERSION=11
+    GCC_VERSION=9
     PROTOBUF=yes
+    DB=yes
+    VISION=yes
+    KATEX=yes
+    UCX_COMMIT=${_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}
@@ -118,6 +125,37 @@ case "$image" in
     ANACONDA_PYTHON_VERSION=3.10
     GCC_VERSION=9
     PROTOBUF=yes
+    DB=yes
+    VISION=yes
+    KATEX=yes
+    UCX_COMMIT=${_UCX_COMMIT}
+    UCC_COMMIT=${_UCC_COMMIT}
+    CONDA_CMAKE=yes
+    TRITON=yes
+    INDUCTOR_BENCHMARKS=yes
+    ;;
+  pytorch-linux-focal-cuda12.1-cudnn9-py3-gcc9-inductor-benchmarks)
+    CUDA_VERSION=12.1.1
+    CUDNN_VERSION=9
+    ANACONDA_PYTHON_VERSION=3.10
+    GCC_VERSION=9
+    PROTOBUF=yes
+    DB=yes
+    VISION=yes
+    KATEX=yes
+    UCX_COMMIT=${_UCX_COMMIT}
+    UCC_COMMIT=${_UCC_COMMIT}
+    CONDA_CMAKE=yes
+    TRITON=yes
+    INDUCTOR_BENCHMARKS=yes
+    ;;
+  pytorch-linux-focal-cuda12.1-cudnn9-py3.12-gcc9-inductor-benchmarks)
+    CUDA_VERSION=12.1.1
+    CUDNN_VERSION=9
+    ANACONDA_PYTHON_VERSION=3.12
+    GCC_VERSION=9
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
     KATEX=yes
     UCX_COMMIT=${_UCX_COMMIT}
@@ -132,6 +170,7 @@ case "$image" in
     ANACONDA_PYTHON_VERSION=3.12
     GCC_VERSION=9
     PROTOBUF=yes
+    DB=yes
     VISION=yes
     KATEX=yes
     UCX_COMMIT=${_UCX_COMMIT}
@@ -146,61 +185,7 @@ case "$image" in
     ANACONDA_PYTHON_VERSION=3.13
     GCC_VERSION=9
     PROTOBUF=yes
-    VISION=yes
-    KATEX=yes
-    UCX_COMMIT=${_UCX_COMMIT}
-    UCC_COMMIT=${_UCC_COMMIT}
-    CONDA_CMAKE=yes
-    TRITON=yes
-    INDUCTOR_BENCHMARKS=yes
-    ;;
-  pytorch-linux-focal-cuda12.6-cudnn9-py3-gcc9)
-    CUDA_VERSION=12.6.3
-    CUDNN_VERSION=9
-    ANACONDA_PYTHON_VERSION=3.10
-    GCC_VERSION=9
-    PROTOBUF=yes
-    VISION=yes
-    KATEX=yes
-    UCX_COMMIT=${_UCX_COMMIT}
-    UCC_COMMIT=${_UCC_COMMIT}
-    CONDA_CMAKE=yes
-    TRITON=yes
-    ;;
-  pytorch-linux-focal-cuda12.6-cudnn9-py3-gcc9-inductor-benchmarks)
-    CUDA_VERSION=12.6.3
-    CUDNN_VERSION=9
-    ANACONDA_PYTHON_VERSION=3.10
-    GCC_VERSION=9
-    PROTOBUF=yes
-    VISION=yes
-    KATEX=yes
-    UCX_COMMIT=${_UCX_COMMIT}
-    UCC_COMMIT=${_UCC_COMMIT}
-    CONDA_CMAKE=yes
-    TRITON=yes
-    INDUCTOR_BENCHMARKS=yes
-    ;;
-  pytorch-linux-focal-cuda12.6-cudnn9-py3.12-gcc9-inductor-benchmarks)
-    CUDA_VERSION=12.6.3
-    CUDNN_VERSION=9
-    ANACONDA_PYTHON_VERSION=3.12
-    GCC_VERSION=9
-    PROTOBUF=yes
-    VISION=yes
-    KATEX=yes
-    UCX_COMMIT=${_UCX_COMMIT}
-    UCC_COMMIT=${_UCC_COMMIT}
-    CONDA_CMAKE=yes
-    TRITON=yes
-    INDUCTOR_BENCHMARKS=yes
-    ;;
-  pytorch-linux-focal-cuda12.6-cudnn9-py3.13-gcc9-inductor-benchmarks)
-    CUDA_VERSION=12.6.3
-    CUDNN_VERSION=9
-    ANACONDA_PYTHON_VERSION=3.13
-    GCC_VERSION=9
-    PROTOBUF=yes
+    DB=yes
     VISION=yes
     KATEX=yes
     UCX_COMMIT=${_UCX_COMMIT}
@@ -215,6 +200,21 @@ case "$image" in
     ANACONDA_PYTHON_VERSION=3.10
     GCC_VERSION=9
     PROTOBUF=yes
+    DB=yes
+    VISION=yes
+    KATEX=yes
+    UCX_COMMIT=${_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}
@@ -226,6 +226,7 @@ case "$image" in
     ANACONDA_PYTHON_VERSION=3.9
     CLANG_VERSION=10
     PROTOBUF=yes
+    DB=yes
     VISION=yes
     CONDA_CMAKE=yes
     ONNX=yes
@@ -234,7 +235,10 @@ case "$image" in
     ANACONDA_PYTHON_VERSION=3.9
     CLANG_VERSION=10
     PROTOBUF=yes
+    DB=yes
     VISION=yes
+    VULKAN_SDK_VERSION=1.2.162.1
+    SWIFTSHADER=yes
     CONDA_CMAKE=yes
     TRITON=yes
     ;;
@@ -242,7 +246,10 @@ case "$image" in
     ANACONDA_PYTHON_VERSION=3.11
     CLANG_VERSION=10
     PROTOBUF=yes
+    DB=yes
     VISION=yes
+    VULKAN_SDK_VERSION=1.2.162.1
+    SWIFTSHADER=yes
     CONDA_CMAKE=yes
     TRITON=yes
     ;;
@@ -250,42 +257,38 @@ case "$image" in
     ANACONDA_PYTHON_VERSION=3.9
     GCC_VERSION=9
     PROTOBUF=yes
+    DB=yes
     VISION=yes
     CONDA_CMAKE=yes
     TRITON=yes
     ;;
   pytorch-linux-focal-rocm-n-1-py3)
     ANACONDA_PYTHON_VERSION=3.10
-    GCC_VERSION=11
+    GCC_VERSION=9
     PROTOBUF=yes
+    DB=yes
     VISION=yes
     ROCM_VERSION=6.2.4
     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-focal-rocm-n-py3)
     ANACONDA_PYTHON_VERSION=3.10
-    GCC_VERSION=11
+    GCC_VERSION=9
     PROTOBUF=yes
+    DB=yes
     VISION=yes
     ROCM_VERSION=6.3
     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-2024.0-py3)
     ANACONDA_PYTHON_VERSION=3.9
     GCC_VERSION=11
     PROTOBUF=yes
+    DB=yes
     VISION=yes
     XPU_VERSION=0.5
     NINJA_VERSION=1.9.0
@@ -296,6 +299,7 @@ case "$image" in
     ANACONDA_PYTHON_VERSION=3.9
     GCC_VERSION=11
     PROTOBUF=yes
+    DB=yes
     VISION=yes
     XPU_VERSION=2025.0
     NINJA_VERSION=1.9.0
@@ -306,6 +310,7 @@ case "$image" in
     ANACONDA_PYTHON_VERSION=3.9
     GCC_VERSION=11
     PROTOBUF=yes
+    DB=yes
     VISION=yes
     KATEX=yes
     CONDA_CMAKE=yes
@@ -319,6 +324,7 @@ case "$image" in
     CUDNN_VERSION=9
     CLANG_VERSION=12
     PROTOBUF=yes
+    DB=yes
     VISION=yes
     TRITON=yes
     ;;
@@ -326,6 +332,7 @@ case "$image" in
     ANACONDA_PYTHON_VERSION=3.9
     CLANG_VERSION=12
     PROTOBUF=yes
+    DB=yes
     VISION=yes
     CONDA_CMAKE=yes
     TRITON=yes
@@ -346,6 +353,7 @@ case "$image" in
     ANACONDA_PYTHON_VERSION=3.9
     GCC_VERSION=11
     PROTOBUF=yes
+    DB=yes
     VISION=yes
     KATEX=yes
     CONDA_CMAKE=yes
@@ -360,7 +368,7 @@ case "$image" in
     EXECUTORCH=yes
     ;;
   pytorch-linux-jammy-py3.12-halide)
-    CUDA_VERSION=12.6
+    CUDA_VERSION=12.4
     ANACONDA_PYTHON_VERSION=3.12
     GCC_VERSION=11
     CONDA_CMAKE=yes
@@ -368,7 +376,7 @@ case "$image" in
     TRITON=yes
     ;;
   pytorch-linux-jammy-py3.12-triton-cpu)
-    CUDA_VERSION=12.6
+    CUDA_VERSION=12.4
     ANACONDA_PYTHON_VERSION=3.12
     GCC_VERSION=11
     CONDA_CMAKE=yes
@@ -378,19 +386,20 @@ case "$image" in
     # 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
-    PIP_CMAKE=yes
+    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
-    PIP_CMAKE=yes
+    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 llvm src build install because the current version
@@ -402,6 +411,7 @@ case "$image" in
     GCC_VERSION=11
     ACL=yes
     PROTOBUF=yes
+    DB=yes
     VISION=yes
     CONDA_CMAKE=yes
     # snadampal: skipping llvm src build install because the current version
@@ -412,6 +422,7 @@ case "$image" in
   *)
     # 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
@@ -460,21 +471,14 @@ 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}" \
@@ -482,12 +486,13 @@ 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 "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:-}" \
@@ -497,7 +502,6 @@ docker build \
        --build-arg "UCX_COMMIT=${UCX_COMMIT}" \
        --build-arg "UCC_COMMIT=${UCC_COMMIT}" \
        --build-arg "CONDA_CMAKE=${CONDA_CMAKE}" \
-       --build-arg "PIP_CMAKE=${PIP_CMAKE}" \
        --build-arg "TRITON=${TRITON}" \
        --build-arg "TRITON_CPU=${TRITON_CPU}" \
        --build-arg "ONNX=${ONNX}" \
@@ -523,7 +527,7 @@ docker build \
 UBUNTU_VERSION=$(echo ${UBUNTU_VERSION} | sed 's/-rc$//')
 
 function drun() {
-  docker run --rm "$tmp_tag" "$@"
+  docker run --rm "$tmp_tag" $*
 }
 
 if [[ "$OS" == "ubuntu" ]]; then
@@ -571,14 +575,3 @@ if [ -n "$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

.ci/docker/centos-rocm/Dockerfile

@@ -55,6 +55,13 @@ 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 ./
@@ -68,7 +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

.ci/docker/ci_commit_pins/executorch.txt

@@ -1 +1 @@
-7e487c24e1c20c3f4606c2d8aca2778873b00b4c
+a29b208a06ab378bb29ab1aa68932e412f8e09f1

.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 @@
-v2.26.2-1

.ci/docker/ci_commit_pins/timm.txt

@@ -1 +1 @@
-5d535d7a2d4b435b1b5c1177fd8f04a12b942b9a
+ac3470188b914c5d7a5058a7e28b9eb685a62427

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

@@ -1 +1 @@
-0bcc8265e677e5321606a3311bf71470f14456a8
+e98b6fcb8df5b44eb0d0addb6767c573d37ba024

.ci/docker/ci_commit_pins/triton.txt

@@ -1 +1 @@
-96316ce50fade7e209553aba4898cd9b82aab83b
+0d4682f073ded4d1a8260dd4208a43d735ae3a2b

.ci/docker/common/install_acl.sh

@@ -1,6 +1,6 @@
 set -euo pipefail
 
-readonly version=v25.02
+readonly version=v24.04
 readonly src_host=https://github.com/ARM-software
 readonly src_repo=ComputeLibrary
 

.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

.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 v0.9.1
+  git clone https://github.com/mozilla/sccache -b v0.9.0
   cd sccache
   echo "Building sccache"
   cargo build --release

.ci/docker/common/install_clang.sh

@@ -4,10 +4,16 @@ 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 -
+    wget --no-check-certificate -O - https://apt.llvm.org/llvm-snapshot.gpg.key | sudo apt-key add  -
     if [[ $CLANG_VERSION == 18 ]]; then
       apt-add-repository "deb http://apt.llvm.org/jammy/ llvm-toolchain-jammy-18 main"
     fi
@@ -35,7 +41,7 @@ if [ -n "$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_conda.sh

@@ -62,11 +62,11 @@ 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_install "openblas==0.3.28=*openmp*"
   else
     conda_install "mkl=2021.4.0 mkl-include=2021.4.0"
   fi

.ci/docker/common/install_cpython.sh

@@ -7,7 +7,7 @@ PYTHON_DOWNLOAD_GITHUB_BRANCH=https://github.com/python/cpython/archive/refs/hea
 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"}
+CPYTHON_VERSIONS=${CPYTHON_VERSIONS:-"3.8.1 3.9.0 3.10.1 3.11.0 3.12.0 3.13.0 3.13.0t"}
 
 function check_var {
     if [ -z "$1" ]; then

.ci/docker/common/install_cuda.sh

@@ -2,6 +2,7 @@
 
 set -ex
 
+NCCL_VERSION=v2.21.5-1
 CUDNN_VERSION=9.5.1.17
 
 function install_cusparselt_040 {
@@ -15,6 +16,17 @@ function install_cusparselt_040 {
     rm -rf tmp_cusparselt
 }
 
+function install_cusparselt_052 {
+    # cuSparseLt license: https://docs.nvidia.com/cuda/cusparselt/license.html
+    mkdir tmp_cusparselt && pushd tmp_cusparselt
+    wget -q https://developer.download.nvidia.com/compute/cusparselt/redist/libcusparse_lt/linux-x86_64/libcusparse_lt-linux-x86_64-0.5.2.1-archive.tar.xz
+    tar xf libcusparse_lt-linux-x86_64-0.5.2.1-archive.tar.xz
+    cp -a libcusparse_lt-linux-x86_64-0.5.2.1-archive/include/* /usr/local/cuda/include/
+    cp -a libcusparse_lt-linux-x86_64-0.5.2.1-archive/lib/* /usr/local/cuda/lib64/
+    popd
+    rm -rf tmp_cusparselt
+}
+
 function install_cusparselt_062 {
     # cuSparseLt license: https://docs.nvidia.com/cuda/cusparselt/license.html
     mkdir tmp_cusparselt && pushd tmp_cusparselt
@@ -39,7 +51,7 @@ function install_cusparselt_063 {
 
 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"
+    echo "Installing CUDA 11.8 and cuDNN ${CUDNN_VERSION} and NCCL ${NCCL_VERSION} and cuSparseLt-0.4.0"
     rm -rf /usr/local/cuda-11.8 /usr/local/cuda
     # install CUDA 11.8.0 in the same container
     wget -q https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run
@@ -57,16 +69,56 @@ function install_118 {
     cd ..
     rm -rf tmp_cudnn
 
-    CUDA_VERSION=11.8 bash install_nccl.sh
+    # NCCL license: https://docs.nvidia.com/deeplearning/nccl/#licenses
+    # Follow build: https://github.com/NVIDIA/nccl/tree/master?tab=readme-ov-file#build
+    git clone -b $NCCL_VERSION --depth 1 https://github.com/NVIDIA/nccl.git
+    cd nccl && make -j src.build
+    cp -a build/include/* /usr/local/cuda/include/
+    cp -a build/lib/* /usr/local/cuda/lib64/
+    cd ..
+    rm -rf nccl
 
     install_cusparselt_040
 
     ldconfig
 }
 
+function install_121 {
+    echo "Installing CUDA 12.1 and cuDNN ${CUDNN_VERSION} and NCCL ${NCCL_VERSION} and cuSparseLt-0.5.2"
+    rm -rf /usr/local/cuda-12.1 /usr/local/cuda
+    # install CUDA 12.1.0 in the same container
+    wget -q https://developer.download.nvidia.com/compute/cuda/12.1.1/local_installers/cuda_12.1.1_530.30.02_linux.run
+    chmod +x cuda_12.1.1_530.30.02_linux.run
+    ./cuda_12.1.1_530.30.02_linux.run --toolkit --silent
+    rm -f cuda_12.1.1_530.30.02_linux.run
+    rm -f /usr/local/cuda && ln -s /usr/local/cuda-12.1 /usr/local/cuda
+
+    # cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
+    mkdir tmp_cudnn && cd tmp_cudnn
+    wget -q https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz -O cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz
+    tar xf cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz
+    cp -a cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive/include/* /usr/local/cuda/include/
+    cp -a cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive/lib/* /usr/local/cuda/lib64/
+    cd ..
+    rm -rf tmp_cudnn
+
+    # NCCL license: https://docs.nvidia.com/deeplearning/nccl/#licenses
+    # Follow build: https://github.com/NVIDIA/nccl/tree/master?tab=readme-ov-file#build
+    git clone -b $NCCL_VERSION --depth 1 https://github.com/NVIDIA/nccl.git
+    cd nccl && make -j src.build
+    cp -a build/include/* /usr/local/cuda/include/
+    cp -a build/lib/* /usr/local/cuda/lib64/
+    cd ..
+    rm -rf nccl
+
+    install_cusparselt_052
+
+    ldconfig
+}
+
 function install_124 {
   CUDNN_VERSION=9.1.0.70
-  echo "Installing CUDA 12.4.1 and cuDNN ${CUDNN_VERSION} and NCCL and cuSparseLt-0.6.2"
+  echo "Installing CUDA 12.4.1 and cuDNN ${CUDNN_VERSION} and NCCL ${NCCL_VERSION} and cuSparseLt-0.6.2"
   rm -rf /usr/local/cuda-12.4 /usr/local/cuda
   # install CUDA 12.4.1 in the same container
   wget -q https://developer.download.nvidia.com/compute/cuda/12.4.1/local_installers/cuda_12.4.1_550.54.15_linux.run
@@ -84,7 +136,14 @@ function install_124 {
   cd ..
   rm -rf tmp_cudnn
 
-  CUDA_VERSION=12.4 bash install_nccl.sh
+  # NCCL license: https://docs.nvidia.com/deeplearning/nccl/#licenses
+  # Follow build: https://github.com/NVIDIA/nccl/tree/master?tab=readme-ov-file#build
+  git clone -b $NCCL_VERSION --depth 1 https://github.com/NVIDIA/nccl.git
+  cd nccl && make -j src.build
+  cp -a build/include/* /usr/local/cuda/include/
+  cp -a build/lib/* /usr/local/cuda/lib64/
+  cd ..
+  rm -rf nccl
 
   install_cusparselt_062
 
@@ -92,7 +151,7 @@ function install_124 {
 }
 
 function install_126 {
-  echo "Installing CUDA 12.6.3 and cuDNN ${CUDNN_VERSION} and NCCL and cuSparseLt-0.6.3"
+  echo "Installing CUDA 12.6.3 and cuDNN ${CUDNN_VERSION} and NCCL ${NCCL_VERSION} and cuSparseLt-0.6.3"
   rm -rf /usr/local/cuda-12.6 /usr/local/cuda
   # install CUDA 12.6.3 in the same container
   wget -q https://developer.download.nvidia.com/compute/cuda/12.6.3/local_installers/cuda_12.6.3_560.35.05_linux.run
@@ -110,7 +169,14 @@ function install_126 {
   cd ..
   rm -rf tmp_cudnn
 
-  CUDA_VERSION=12.6 bash install_nccl.sh
+  # NCCL license: https://docs.nvidia.com/deeplearning/nccl/#licenses
+  # Follow build: https://github.com/NVIDIA/nccl/tree/master?tab=readme-ov-file#build
+  git clone -b $NCCL_VERSION --depth 1 https://github.com/NVIDIA/nccl.git
+  cd nccl && make -j src.build
+  cp -a build/include/* /usr/local/cuda/include/
+  cp -a build/lib/* /usr/local/cuda/lib64/
+  cd ..
+  rm -rf nccl
 
   install_cusparselt_063
 
@@ -148,6 +214,37 @@ function prune_118 {
     rm -rf $CUDA_BASE/libnvvp $CUDA_BASE/nsightee_plugins $CUDA_BASE/nsight-compute-2022.3.0 $CUDA_BASE/nsight-systems-2022.4.2/
 }
 
+function prune_121 {
+  echo "Pruning CUDA 12.1"
+  #####################################################################################
+  # CUDA 12.1 prune static libs
+  #####################################################################################
+    export NVPRUNE="/usr/local/cuda-12.1/bin/nvprune"
+    export CUDA_LIB_DIR="/usr/local/cuda-12.1/lib64"
+
+    export GENCODE="-gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90"
+    export GENCODE_CUDNN="-gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90"
+
+    if [[ -n "$OVERRIDE_GENCODE" ]]; then
+        export GENCODE=$OVERRIDE_GENCODE
+    fi
+
+    # all CUDA libs except CuDNN and CuBLAS
+    ls $CUDA_LIB_DIR/ | grep "\.a" | grep -v "culibos" | grep -v "cudart" | grep -v "cudnn" | grep -v "cublas" | grep -v "metis"  \
+      | xargs -I {} bash -c \
+                "echo {} && $NVPRUNE $GENCODE $CUDA_LIB_DIR/{} -o $CUDA_LIB_DIR/{}"
+
+    # prune CuDNN and CuBLAS
+    $NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublas_static.a -o $CUDA_LIB_DIR/libcublas_static.a
+    $NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublasLt_static.a -o $CUDA_LIB_DIR/libcublasLt_static.a
+
+    #####################################################################################
+    # CUDA 12.1 prune visual tools
+    #####################################################################################
+    export CUDA_BASE="/usr/local/cuda-12.1/"
+    rm -rf $CUDA_BASE/libnvvp $CUDA_BASE/nsightee_plugins $CUDA_BASE/nsight-compute-2023.1.0 $CUDA_BASE/nsight-systems-2023.1.2/
+}
+
 function prune_124 {
   echo "Pruning CUDA 12.4"
   #####################################################################################
@@ -216,45 +313,18 @@ function prune_126 {
   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 12.8.0 and cuDNN ${CUDNN_VERSION} and NCCL and cuSparseLt-0.6.3"
-  rm -rf /usr/local/cuda-12.8 /usr/local/cuda
-  # install CUDA 12.8.0 in the same container
-  wget -q https://developer.download.nvidia.com/compute/cuda/12.8.0/local_installers/cuda_12.8.0_570.86.10_linux.run
-  chmod +x cuda_12.8.0_570.86.10_linux.run
-  ./cuda_12.8.0_570.86.10_linux.run --toolkit --silent
-  rm -f cuda_12.8.0_570.86.10_linux.run
-  rm -f /usr/local/cuda && ln -s /usr/local/cuda-12.8 /usr/local/cuda
-
-  # cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
-  mkdir tmp_cudnn && cd tmp_cudnn
-  wget -q https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz -O cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz
-  tar xf cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz
-  cp -a cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive/include/* /usr/local/cuda/include/
-  cp -a cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive/lib/* /usr/local/cuda/lib64/
-  cd ..
-  rm -rf tmp_cudnn
-
-  CUDA_VERSION=12.8 bash install_nccl.sh
-
-  install_cusparselt_063
-
-  ldconfig
-}
-
 # idiomatic parameter and option handling in sh
 while test $# -gt 0
 do
     case "$1" in
     11.8) install_118; prune_118
         ;;
+    12.1) install_121; prune_121
+        ;;
     12.4) install_124; prune_124
         ;;
     12.6) install_126; prune_126
         ;;
-    12.8) install_128;
-        ;;
     *) echo "bad argument $1"; exit 1
         ;;
     esac

.ci/docker/common/install_cuda_aarch64.sh

@@ -3,7 +3,19 @@
 
 set -ex
 
-CUDNN_VERSION=9.8.0.87
+NCCL_VERSION=v2.21.5-1
+CUDNN_VERSION=9.5.1.17
+
+function install_cusparselt_062 {
+    # cuSparseLt license: https://docs.nvidia.com/cuda/cusparselt/license.html
+    mkdir tmp_cusparselt && pushd tmp_cusparselt
+    wget -q https://developer.download.nvidia.com/compute/cusparselt/redist/libcusparse_lt/linux-sbsa/libcusparse_lt-linux-sbsa-0.6.2.3-archive.tar.xz
+    tar xf libcusparse_lt-linux-sbsa-0.6.2.3-archive.tar.xz
+    cp -a libcusparse_lt-linux-sbsa-0.6.2.3-archive/include/* /usr/local/cuda/include/
+    cp -a libcusparse_lt-linux-sbsa-0.6.2.3-archive/lib/* /usr/local/cuda/lib64/
+    popd
+    rm -rf tmp_cusparselt
+}
 
 function install_cusparselt_063 {
     # cuSparseLt license: https://docs.nvidia.com/cuda/cusparselt/license.html
@@ -16,15 +28,16 @@ function install_cusparselt_063 {
     rm -rf tmp_cusparselt
 }
 
-function install_128 {
-  echo "Installing CUDA 12.8.0 and cuDNN ${CUDNN_VERSION} and NCCL and cuSparseLt-0.6.3"
-  rm -rf /usr/local/cuda-12.8 /usr/local/cuda
-  # install CUDA 12.8.0 in the same container
-  wget -q https://developer.download.nvidia.com/compute/cuda/12.8.0/local_installers/cuda_12.8.0_570.86.10_linux_sbsa.run
-  chmod +x cuda_12.8.0_570.86.10_linux_sbsa.run
-  ./cuda_12.8.0_570.86.10_linux_sbsa.run --toolkit --silent
-  rm -f cuda_12.8.0_570.86.10_linux_sbsa.run
-  rm -f /usr/local/cuda && ln -s /usr/local/cuda-12.8 /usr/local/cuda
+function install_124 {
+  CUDNN_VERSION=9.1.0.70
+  echo "Installing CUDA 12.4.1 and cuDNN ${CUDNN_VERSION} and NCCL ${NCCL_VERSION} and cuSparseLt-0.6.2"
+  rm -rf /usr/local/cuda-12.4 /usr/local/cuda
+  # install CUDA 12.4.1 in the same container
+  wget -q https://developer.download.nvidia.com/compute/cuda/12.4.1/local_installers/cuda_12.4.1_550.54.15_linux_sbsa.run
+  chmod +x cuda_12.4.1_550.54.15_linux_sbsa.run
+  ./cuda_12.4.1_550.54.15_linux_sbsa.run --toolkit --silent
+  rm -f cuda_12.4.1_550.54.15_linux_sbsa.run
+  rm -f /usr/local/cuda && ln -s /usr/local/cuda-12.4 /usr/local/cuda
 
   # cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
   mkdir tmp_cudnn && cd tmp_cudnn
@@ -35,18 +48,125 @@ function install_128 {
   cd ..
   rm -rf tmp_cudnn
 
-  CUDA_VERSION=12.8 bash install_nccl.sh
+  # NCCL license: https://docs.nvidia.com/deeplearning/nccl/#licenses
+  # Follow build: https://github.com/NVIDIA/nccl/tree/master?tab=readme-ov-file#build
+  git clone -b ${NCCL_VERSION} --depth 1 https://github.com/NVIDIA/nccl.git
+  cd nccl && make -j src.build
+  cp -a build/include/* /usr/local/cuda/include/
+  cp -a build/lib/* /usr/local/cuda/lib64/
+  cd ..
+  rm -rf nccl
+
+  install_cusparselt_062
+
+  ldconfig
+}
+
+function prune_124 {
+  echo "Pruning CUDA 12.4"
+  #####################################################################################
+  # CUDA 12.4 prune static libs
+  #####################################################################################
+  export NVPRUNE="/usr/local/cuda-12.4/bin/nvprune"
+  export CUDA_LIB_DIR="/usr/local/cuda-12.4/lib64"
+
+  export GENCODE="-gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90"
+  export GENCODE_CUDNN="-gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90"
+
+  if [[ -n "$OVERRIDE_GENCODE" ]]; then
+      export GENCODE=$OVERRIDE_GENCODE
+  fi
+
+  # all CUDA libs except CuDNN and CuBLAS
+  ls $CUDA_LIB_DIR/ | grep "\.a" | grep -v "culibos" | grep -v "cudart" | grep -v "cudnn" | grep -v "cublas" | grep -v "metis"  \
+      | xargs -I {} bash -c \
+                "echo {} && $NVPRUNE $GENCODE $CUDA_LIB_DIR/{} -o $CUDA_LIB_DIR/{}"
+
+  # prune CuDNN and CuBLAS
+  $NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublas_static.a -o $CUDA_LIB_DIR/libcublas_static.a
+  $NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublasLt_static.a -o $CUDA_LIB_DIR/libcublasLt_static.a
+
+  #####################################################################################
+  # CUDA 12.4 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 install_126 {
+  echo "Installing CUDA 12.6.3 and cuDNN ${CUDNN_VERSION} and NCCL ${NCCL_VERSION} and cuSparseLt-0.6.3"
+  rm -rf /usr/local/cuda-12.6 /usr/local/cuda
+  # install CUDA 12.6.3 in the same container
+  wget -q https://developer.download.nvidia.com/compute/cuda/12.6.3/local_installers/cuda_12.6.3_560.35.05_linux_sbsa.run
+  chmod +x cuda_12.6.3_560.35.05_linux_sbsa.run
+  ./cuda_12.6.3_560.35.05_linux_sbsa.run --toolkit --silent
+  rm -f cuda_12.6.3_560.35.05_linux_sbsa.run
+  rm -f /usr/local/cuda && ln -s /usr/local/cuda-12.6 /usr/local/cuda
+
+  # cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
+  mkdir tmp_cudnn && cd tmp_cudnn
+  wget -q https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-sbsa/cudnn-linux-sbsa-${CUDNN_VERSION}_cuda12-archive.tar.xz -O cudnn-linux-sbsa-${CUDNN_VERSION}_cuda12-archive.tar.xz
+  tar xf cudnn-linux-sbsa-${CUDNN_VERSION}_cuda12-archive.tar.xz
+  cp -a cudnn-linux-sbsa-${CUDNN_VERSION}_cuda12-archive/include/* /usr/local/cuda/include/
+  cp -a cudnn-linux-sbsa-${CUDNN_VERSION}_cuda12-archive/lib/* /usr/local/cuda/lib64/
+  cd ..
+  rm -rf tmp_cudnn
+
+  # NCCL license: https://docs.nvidia.com/deeplearning/nccl/#licenses
+  # Follow build: https://github.com/NVIDIA/nccl/tree/master?tab=readme-ov-file#build
+  git clone -b ${NCCL_VERSION} --depth 1 https://github.com/NVIDIA/nccl.git
+  cd nccl && make -j src.build
+  cp -a build/include/* /usr/local/cuda/include/
+  cp -a build/lib/* /usr/local/cuda/lib64/
+  cd ..
+  rm -rf nccl
 
   install_cusparselt_063
 
   ldconfig
 }
 
+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/
+}
+
 # idiomatic parameter and option handling in sh
 while test $# -gt 0
 do
     case "$1" in
-    12.8) install_128;
+    12.4) install_124; prune_124
+        ;;
+    12.6) install_126; prune_126
         ;;
     *) echo "bad argument $1"; exit 1
         ;;

.ci/docker/common/install_cudnn.sh

@@ -4,9 +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
+    if [[ ${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
         CUDNN_NAME="cudnn-linux-x86_64-9.1.0.70_cuda12-archive"

.ci/docker/common/install_cusparselt.sh

@@ -5,15 +5,7 @@ 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
-    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
+if [[ ${CUDA_VERSION:0:4} =~ ^12\.[2-6]$ ]]; then
     arch_path='sbsa'
     export TARGETARCH=${TARGETARCH:-$(uname -m)}
     if [ ${TARGETARCH} = 'amd64' ] || [ "${TARGETARCH}" = 'x86_64' ]; then
@@ -21,11 +13,17 @@ elif [[ ${CUDA_VERSION:0:4} == "12.4" ]]; then
     fi
     CUSPARSELT_NAME="libcusparse_lt-linux-${arch_path}-0.6.2.3-archive"
     curl --retry 3 -OLs https://developer.download.nvidia.com/compute/cusparselt/redist/libcusparse_lt/linux-${arch_path}/${CUSPARSELT_NAME}.tar.xz
+elif [[ ${CUDA_VERSION:0:4} == "12.1" ]]; then
+    arch_path='sbsa'
+    export TARGETARCH=${TARGETARCH:-$(uname -m)}
+    if [ ${TARGETARCH} = 'amd64' ] || [ "${TARGETARCH}" = 'x86_64' ]; then
+        arch_path='x86_64'
+    fi
+    CUSPARSELT_NAME="libcusparse_lt-linux-${arch_path}-0.5.2.1-archive"
+    curl --retry 3 -OLs https://developer.download.nvidia.com/compute/cusparselt/redist/libcusparse_lt/linux-${arch_path}/${CUSPARSELT_NAME}.tar.xz
 elif [[ ${CUDA_VERSION:0:4} == "11.8" ]]; then
     CUSPARSELT_NAME="libcusparse_lt-linux-x86_64-0.4.0.7-archive"
     curl --retry 3 -OLs https://developer.download.nvidia.com/compute/cusparselt/redist/libcusparse_lt/linux-x86_64/${CUSPARSELT_NAME}.tar.xz
-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

@@ -37,12 +37,7 @@ 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
-
+  as_jenkins bash install_requirements.sh --pybind xnnpack
   popd
 }
 
@@ -50,9 +45,10 @@ setup_executorch() {
   pushd executorch
 
   export PYTHON_EXECUTABLE=python
-  export CMAKE_ARGS="-DEXECUTORCH_BUILD_PYBIND=ON -DEXECUTORCH_BUILD_XNNPACK=ON -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON"
+  export EXECUTORCH_BUILD_PYBIND=ON
+  export CMAKE_ARGS="-DEXECUTORCH_BUILD_XNNPACK=ON -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON"
 
-  as_jenkins .ci/scripts/setup-linux.sh --build-tool cmake || true
+  as_jenkins .ci/scripts/setup-linux.sh cmake || true
   popd
 }
 

.ci/docker/common/install_halide.sh

@@ -35,9 +35,7 @@ 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 -G Ninja -DCMAKE_BUILD_TYPE=Release -S . -B build
 cmake --build build
 test -e ${CONDA_PREFIX}/lib/python3 || ln -s python${ANACONDA_PYTHON_VERSION} ${CONDA_PREFIX}/lib/python3
 cmake --install build --prefix ${CONDA_PREFIX}

.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_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_onnx.sh

@@ -31,15 +31,15 @@ pip_install \
 pip_install coloredlogs packaging
 
 pip_install onnxruntime==1.18.1
-pip_install onnx==1.17.0
-pip_install onnxscript==0.2.2 --no-deps
+pip_install onnx==1.16.2
+pip_install onnxscript==0.1.0.dev20241124 --no-deps
 # required by onnxscript
 pip_install ml_dtypes
 
 # Cache the transformers model to be used later by ONNX tests. We need to run the transformers
 # package to download the model. By default, the model is cached at ~/.cache/huggingface/hub/
 IMPORT_SCRIPT_FILENAME="/tmp/onnx_import_script.py"
-as_jenkins echo 'import transformers; transformers.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

@@ -4,7 +4,7 @@
 set -ex
 
 cd /
-git clone https://github.com/OpenMathLib/OpenBLAS.git -b v0.3.29 --depth 1 --shallow-submodules
+git clone https://github.com/OpenMathLib/OpenBLAS.git -b v0.3.28 --depth 1 --shallow-submodules
 
 
 OPENBLAS_BUILD_FLAGS="

.ci/docker/common/install_python.sh

@@ -1,18 +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
-if [ -n "${PIP_CMAKE}" ]; then
-  python -mpip install cmake==3.31.6
-fi

.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

.ci/docker/common/install_rocm_drm.sh

@@ -25,9 +25,7 @@ python3 -m pip install meson ninja
 ###########################
 ### clone repo
 ###########################
-# TEMPORARY FIX: https://gitlab.freedesktop.org/mesa/drm.git is down until 2025/03/22
-# GIT_SSL_NO_VERIFY=true git clone https://gitlab.freedesktop.org/mesa/drm.git
-GIT_SSL_NO_VERIFY=true git clone git://anongit.freedesktop.org/mesa/drm
+GIT_SSL_NO_VERIFY=true git clone https://gitlab.freedesktop.org/mesa/drm.git
 pushd drm
 
 ###########################
@@ -117,7 +115,7 @@ index a5007ffc..13fa07fc 100644
  	if (!fp) {
 -		fprintf(stderr, "%s: %s\n", AMDGPU_ASIC_ID_TABLE,
 -			strerror(errno));
-+		//fprintf(stderr, "amdgpu.ids: No such file or directory\n");
++		fprintf(stderr, "amdgpu.ids: No such file or directory\n");
  		return;
  	}
 

.ci/docker/common/install_rocm_magma.sh

@@ -1,28 +1,50 @@
-#!/usr/bin/env bash
-# Script used only in CD pipeline
+#!/bin/bash
+# Script used in CI and CD pipeline
 
-set -eou pipefail
+set -ex
 
-function do_install() {
-    rocm_version=$1
-    rocm_version_nodot=${1//./}
+# Magma build scripts need `python`
+ln -sf /usr/bin/python3 /usr/bin/python
 
-    # Version 2.7.2 + ROCm related updates
-    MAGMA_VERSION=a1625ff4d9bc362906bd01f805dbbe12612953f6
-    magma_archive="magma-rocm${rocm_version_nodot}-${MAGMA_VERSION}-1.tar.bz2"
+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
 
-    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}
-        tar -xvf "${magma_archive}"
-        mkdir -p "${rocm_dir}/magma"
-        mv include "${rocm_dir}/magma/include"
-        mv lib "${rocm_dir}/magma/lib"
-        popd
-    )
-}
+MKLROOT=${MKLROOT:-/opt/conda/envs/py_$ANACONDA_PYTHON_VERSION}
 
-do_install $1
+# "install" hipMAGMA into /opt/rocm/magma by copying after build
+git clone https://bitbucket.org/icl/magma.git
+pushd magma
+
+# Version 2.7.2 + ROCm related updates
+git checkout a1625ff4d9bc362906bd01f805dbbe12612953f6
+
+cp make.inc-examples/make.inc.hip-gcc-mkl make.inc
+echo 'LIBDIR += -L$(MKLROOT)/lib' >> make.inc
+if [[ -f "${MKLROOT}/lib/libmkl_core.a" ]]; then
+    echo 'LIB = -Wl,--start-group -lmkl_gf_lp64 -lmkl_gnu_thread -lmkl_core -Wl,--end-group -lpthread -lstdc++ -lm -lgomp -lhipblas -lhipsparse' >> make.inc
+fi
+echo 'LIB += -Wl,--enable-new-dtags -Wl,--rpath,/opt/rocm/lib -Wl,--rpath,$(MKLROOT)/lib -Wl,--rpath,/opt/rocm/magma/lib -ldl' >> make.inc
+echo 'DEVCCFLAGS += --gpu-max-threads-per-block=256' >> make.inc
+export PATH="${PATH}:/opt/rocm/bin"
+if [[ -n "$PYTORCH_ROCM_ARCH" ]]; then
+  amdgpu_targets=`echo $PYTORCH_ROCM_ARCH | sed 's/;/ /g'`
+else
+  amdgpu_targets=`rocm_agent_enumerator | grep -v gfx000 | sort -u | xargs`
+fi
+for arch in $amdgpu_targets; do
+  echo "DEVCCFLAGS += --offload-arch=$arch" >> make.inc
+done
+# hipcc with openmp flag may cause isnan() on __device__ not to be found; depending on context, compiler may attempt to match with host definition
+sed -i 's/^FOPENMP/#FOPENMP/g' make.inc
+make -f make.gen.hipMAGMA -j $(nproc)
+LANG=C.UTF-8 make lib/libmagma.so -j $(nproc) MKLROOT="${MKLROOT}"
+make testing/testing_dgemm -j $(nproc) MKLROOT="${MKLROOT}"
+popd
+mv magma /opt/rocm

.ci/docker/common/install_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

@@ -2,12 +2,6 @@
 
 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_conda_version() {
@@ -58,7 +52,6 @@ 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
@@ -67,22 +60,17 @@ if [ -n "${UBUNTU_VERSION}" ] && [ -n "${GCC_VERSION}" ] && [[ "${GCC_VERSION}"
   # 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 -e .
 elif [ -n "${UBUNTU_VERSION}" ] && [ -n "${CLANG_VERSION}" ]; then
   # Triton needs <filesystem> which surprisingly is not available with clang-9 toolchain
   add-apt-repository -y ppa:ubuntu-toolchain-r/test
   apt-get install -y g++-9
 
-  CXX=g++-9 conda_run python setup.py bdist_wheel
+  CXX=g++-9 pip_install -e .
 else
-  conda_run python setup.py bdist_wheel
+  pip_install -e .
 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
-
 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

.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_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/libtorch/Dockerfile

@@ -49,8 +49,6 @@ 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/
 ENV CUDA_HOME /usr/local/cuda
 
 FROM cuda as cuda11.8
@@ -58,6 +56,11 @@ RUN bash ./install_cuda.sh 11.8
 RUN bash ./install_magma.sh 11.8
 RUN ln -sf /usr/local/cuda-11.8 /usr/local/cuda
 
+FROM cuda as cuda12.1
+RUN bash ./install_cuda.sh 12.1
+RUN bash ./install_magma.sh 12.1
+RUN ln -sf /usr/local/cuda-12.1 /usr/local/cuda
+
 FROM cuda as cuda12.4
 RUN bash ./install_cuda.sh 12.4
 RUN bash ./install_magma.sh 12.4
@@ -68,13 +71,7 @@ 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
@@ -93,7 +90,7 @@ RUN apt-get update -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
+RUN bash ./install_rocm_magma.sh && rm install_rocm_magma.sh
 
 FROM ${BASE_TARGET} as final
 COPY --from=openssl            /opt/openssl           /opt/openssl

.ci/docker/libtorch/build.sh

@@ -39,8 +39,8 @@ case ${GPU_ARCH_TYPE} in
         BASE_TARGET=rocm
         DOCKER_TAG=rocm${GPU_ARCH_VERSION}
         GPU_IMAGE=rocm/dev-ubuntu-20.04:${GPU_ARCH_VERSION}-complete
-        PYTORCH_ROCM_ARCH="gfx900;gfx906;gfx908;gfx90a;gfx942;gfx1030;gfx1100;gfx1101;gfx1102;gfx1200;gfx1201"
-        DOCKER_GPU_BUILD_ARG="--build-arg PYTORCH_ROCM_ARCH=${PYTORCH_ROCM_ARCH} --build-arg ROCM_VERSION=${GPU_ARCH_VERSION}"
+        PYTORCH_ROCM_ARCH="gfx900;gfx906;gfx908;gfx90a;gfx1030;gfx1100;gfx1101;gfx942"
+        DOCKER_GPU_BUILD_ARG="--build-arg PYTORCH_ROCM_ARCH=${PYTORCH_ROCM_ARCH}"
         ;;
     *)
         echo "ERROR: Unrecognized GPU_ARCH_TYPE: ${GPU_ARCH_TYPE}"

.ci/docker/linter-cuda/Dockerfile

@@ -18,30 +18,28 @@ 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
+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
 
 # 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/
-RUN bash ./install_cuda.sh ${CUDA_VERSION} && rm install_cuda.sh install_nccl.sh /ci_commit_pins/nccl-cu*
+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

@@ -15,18 +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
-ARG PIP_CMAKE
-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

@@ -64,9 +64,7 @@ FROM base as cuda
 ARG BASE_CUDA_VERSION=10.2
 # 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/
-RUN bash ./install_cuda.sh ${BASE_CUDA_VERSION} && rm install_cuda.sh install_nccl.sh /ci_commit_pins/nccl-cu*
+RUN bash ./install_cuda.sh ${BASE_CUDA_VERSION} && rm install_cuda.sh
 
 FROM base as intel
 # MKL
@@ -197,6 +195,6 @@ RUN bash ./install_rocm_drm.sh && rm install_rocm_drm.sh
 # cmake3 is needed for the MIOpen build
 RUN ln -sf /usr/local/bin/cmake /usr/bin/cmake3
 ADD ./common/install_rocm_magma.sh install_rocm_magma.sh
-RUN bash ./install_rocm_magma.sh ${ROCM_VERSION} && rm install_rocm_magma.sh
+RUN bash ./install_rocm_magma.sh && rm install_rocm_magma.sh
 ADD ./common/install_miopen.sh install_miopen.sh
 RUN bash ./install_miopen.sh ${ROCM_VERSION} && rm install_miopen.sh

.ci/docker/manywheel/Dockerfile_2014

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

.ci/docker/manywheel/Dockerfile_2_28

@@ -36,9 +36,7 @@ FROM base as cuda
 ARG BASE_CUDA_VERSION=11.8
 # 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/
-RUN bash ./install_cuda.sh ${BASE_CUDA_VERSION} && rm install_cuda.sh install_nccl.sh ci_commit_pins/nccl-cu*
+RUN bash ./install_cuda.sh ${BASE_CUDA_VERSION} && rm install_cuda.sh
 
 FROM base as intel
 # MKL
@@ -160,7 +158,7 @@ ADD ./common/install_rocm_drm.sh install_rocm_drm.sh
 RUN bash ./install_rocm_drm.sh && rm install_rocm_drm.sh
 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
+RUN bash ./install_rocm_magma.sh && rm install_rocm_magma.sh
 ADD ./common/install_miopen.sh install_miopen.sh
 RUN bash ./install_miopen.sh ${ROCM_VERSION} && rm install_miopen.sh
 

.ci/docker/manywheel/Dockerfile_2_28_aarch64

@@ -38,12 +38,6 @@ RUN yum install -y \
   sudo \
   gcc-toolset-${GCCTOOLSET_VERSION}-toolchain
 
-# (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

.ci/docker/manywheel/Dockerfile_cuda_aarch64

@@ -67,9 +67,7 @@ FROM base as cuda
 ARG BASE_CUDA_VERSION
 # Install CUDA
 ADD ./common/install_cuda_aarch64.sh install_cuda_aarch64.sh
-COPY ./common/install_nccl.sh install_nccl.sh
-COPY ./ci_commit_pins/nccl-cu* /ci_commit_pins/
-RUN bash ./install_cuda_aarch64.sh ${BASE_CUDA_VERSION} && rm install_cuda_aarch64.sh install_nccl.sh ci_commit_pins/nccl-cu*
+RUN bash ./install_cuda_aarch64.sh ${BASE_CUDA_VERSION} && rm install_cuda_aarch64.sh
 
 FROM base as magma
 ARG BASE_CUDA_VERSION

.ci/docker/manywheel/Dockerfile_s390x

@@ -42,7 +42,6 @@ RUN yum install -y \
   llvm-devel \
   libzstd-devel \
   python3.12-devel \
-  python3.12-test \
   python3.12-setuptools \
   python3.12-pip \
   python3-virtualenv \
@@ -102,33 +101,24 @@ CMD ["/bin/bash"]
 
 # install test dependencies:
 # - grpcio requires system openssl, bundled crypto fails to build
+# - ml_dtypes 0.4.0 requires some fixes provided in later commits to build
 RUN dnf install -y \
   protobuf-devel \
   protobuf-c-devel \
   protobuf-lite-devel \
-  hdf5-devel \
-  python3-h5py \
-  git
+  wget \
+  patch
 
-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 && \
+RUN env GRPC_PYTHON_BUILD_SYSTEM_OPENSSL=True pip3 install grpcio==1.65.4
+RUN cd ~ && \
+  git clone https://github.com/jax-ml/ml_dtypes && \
+  cd ml_dtypes && \
+  git checkout v0.4.0 && \
   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 && \
-  pip3 install ./build/Linux/Release/dist/onnxruntime_training-*.whl && \
-  cd .. && /bin/rm -rf ./onnxruntime
+  wget https://github.com/jax-ml/ml_dtypes/commit/b969f76914d6b30676721bc92bf0f6021a0d1321.patch && \
+  wget https://github.com/jax-ml/ml_dtypes/commit/d4e6d035ecda073eab8bcf60f4eef572ee7087e6.patch && \
+  patch -p1 < b969f76914d6b30676721bc92bf0f6021a0d1321.patch && \
+  patch -p1 < d4e6d035ecda073eab8bcf60f4eef572ee7087e6.patch && \
+  python3 setup.py bdist_wheel && \
+  pip3 install dist/*.whl && \
+  rm -rf ml_dtypes

.ci/docker/manywheel/build.sh

@@ -48,7 +48,7 @@ case ${GPU_ARCH_TYPE} in
         TARGET=final
         DOCKER_TAG=cpu-aarch64
         GPU_IMAGE=arm64v8/almalinux:8
-        DOCKER_GPU_BUILD_ARG=" --build-arg DEVTOOLSET_VERSION=11 --build-arg NINJA_VERSION=1.12.1"
+        DOCKER_GPU_BUILD_ARG=" --build-arg DEVTOOLSET_VERSION=11"
         MANY_LINUX_VERSION="2_28_aarch64"
         ;;
     cpu-cxx11-abi)
@@ -97,7 +97,7 @@ case ${GPU_ARCH_TYPE} in
             DEVTOOLSET_VERSION="11"
             GPU_IMAGE=rocm/dev-almalinux-8:${GPU_ARCH_VERSION}-complete
         fi
-        PYTORCH_ROCM_ARCH="gfx900;gfx906;gfx908;gfx90a;gfx942;gfx1030;gfx1100;gfx1101;gfx1102;gfx1200;gfx1201"
+        PYTORCH_ROCM_ARCH="gfx900;gfx906;gfx908;gfx90a;gfx942;gfx1030;gfx1100;gfx1101"
         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}"
         ;;
     xpu)
@@ -121,8 +121,7 @@ fi
 (
     set -x
 
-    # Only activate this if in CI
-    if [ "$(uname -m)" != "s390x" ] && [ -v CI ]; then
+    if [ "$(uname -m)" != "s390x" ]; 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
@@ -140,7 +139,7 @@ fi
         "${TOPDIR}/.ci/docker/"
 )
 
-GITHUB_REF=${GITHUB_REF:-"dev")}
+GITHUB_REF=${GITHUB_REF:-$(git symbolic-ref -q HEAD || git describe --tags --exact-match)}
 GIT_BRANCH_NAME=${GITHUB_REF##*/}
 GIT_COMMIT_SHA=${GITHUB_SHA:-$(git rev-parse HEAD)}
 DOCKER_IMAGE_BRANCH_TAG=${DOCKER_IMAGE}-${GIT_BRANCH_NAME}

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

@@ -3,7 +3,7 @@
 # Script used only in CD pipeline
 
 OPENSSL_DOWNLOAD_URL=https://www.openssl.org/source/old/1.1.1/
-CURL_DOWNLOAD_URL=https://curl.se/download
+CURL_DOWNLOAD_URL=https://curl.askapache.com/download
 
 AUTOCONF_DOWNLOAD_URL=https://ftp.gnu.org/gnu/autoconf
 

.ci/docker/requirements-ci.txt

@@ -41,14 +41,11 @@ fbscribelogger==0.1.7
 #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 +90,10 @@ librosa>=0.6.2 ; python_version < "3.11"
 #Pinned versions:
 #test that import:
 
-mypy==1.14.0
+mypy==1.13.0
 # Pin MyPy version because new errors are likely to appear with each release
 #Description: linter
-#Pinned versions: 1.14.0
+#Pinned versions: 1.10.0
 #test that import: test_typing.py, test_type_hints.py
 
 networkx==2.8.8
@@ -105,10 +102,10 @@ 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"
@@ -297,7 +294,7 @@ ghstack==0.8.0
 #Pinned versions: 0.8.0
 #test that import:
 
-jinja2==3.1.6
+jinja2==3.1.5
 #Description: jinja2 template engine
 #Pinned versions: 3.1.4
 #test that import:
@@ -332,7 +329,7 @@ lxml==5.3.0
 
 PyGithub==2.3.0
 
-sympy==1.13.3
+sympy==1.13.1 ; python_version >= "3.9"
 #Description: Required by coremltools, also pinned in .github/requirements/pip-requirements-macOS.txt
 #Pinned versions:
 #test that import:
@@ -342,7 +339,7 @@ onnx==1.17.0
 #Pinned versions:
 #test that import:
 
-onnxscript==0.2.2
+onnxscript==0.1.0.dev20240817
 #Description: Required by mypy and test_public_bindings.py when checking torch.onnx._internal
 #Pinned versions:
 #test that import:
@@ -356,7 +353,7 @@ parameterized==0.8.1
 #Pinned versions: 1.24.0
 #test that import: test_sac_estimator.py
 
-pwlf==2.2.1
+pwlf==2.2.1 ; python_version >= "3.8"
 #Description: required for testing torch/distributed/_tools/sac_estimator.py
 #Pinned versions: 2.2.1
 #test that import: test_sac_estimator.py
@@ -365,17 +362,12 @@ pwlf==2.2.1
 # To build PyTorch itself
 astunparse
 PyYAML
-pyzstd
 setuptools
 
+ninja==1.11.1 ; platform_machine == "aarch64"
 scons==4.5.2 ; platform_machine == "aarch64"
 
-pulp==2.9.0
+pulp==2.9.0 ; python_version >= "3.8"
 #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:

.ci/docker/triton_version.txt

@@ -1 +1 @@
-3.3.0
+3.2.0

.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
@@ -50,6 +50,13 @@ 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 ${DB}
+
 # (optional) Install vision packages like OpenCV
 ARG VISION
 COPY ./common/install_vision.sh ./common/cache_vision_models.sh ./common/common_utils.sh ./
@@ -90,20 +97,14 @@ RUN if [ -n "${CMAKE_VERSION}" ]; then bash ./install_cmake.sh; fi
 RUN rm install_cmake.sh
 
 ARG TRITON
-
-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 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 "${TRITON}" ]; then pip install /opt/triton/*.whl; chown -R jenkins:jenkins /opt/conda; fi
-RUN rm -rf /opt/triton
+RUN if [ -n "${TRITON}" ]; then bash ./install_triton.sh; fi
+RUN rm install_triton.sh common_utils.sh triton.txt triton_version.txt
 
 ARG HALIDE
 # Build and install halide
@@ -158,16 +159,6 @@ 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

.ci/docker/ubuntu-rocm/Dockerfile

@@ -14,20 +14,21 @@ 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
-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
@@ -38,11 +39,6 @@ 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
@@ -50,6 +46,13 @@ 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 ./
@@ -63,7 +66,7 @@ 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
 ADD ./common/install_miopen.sh install_miopen.sh
 RUN bash ./install_miopen.sh ${ROCM_VERSION} && rm install_miopen.sh
@@ -82,32 +85,6 @@ 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 "${INDUCTOR_BENCHMARKS}" ]; then bash ./install_inductor_benchmark_deps.sh; fi
-RUN rm install_inductor_benchmark_deps.sh common_utils.sh timm.txt huggingface.txt
-
 # (optional) Install non-default CMake version
 ARG CMAKE_VERSION
 COPY ./common/install_cmake.sh install_cmake.sh
@@ -130,17 +107,17 @@ COPY triton_version.txt triton_version.txt
 RUN if [ -n "${TRITON}" ]; then bash ./install_triton.sh; fi
 RUN rm install_triton.sh common_utils.sh triton.txt triton_version.txt
 
+# This is needed by sccache
+COPY ./common/install_openssl.sh install_openssl.sh
+ENV OPENSSL_ROOT_DIR /opt/openssl
+RUN bash ./install_openssl.sh
+ENV OPENSSL_DIR /opt/openssl
 
 # 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
-
 # Include BUILD_ENVIRONMENT environment variable in image
 ARG BUILD_ENVIRONMENT
 ENV BUILD_ENVIRONMENT ${BUILD_ENVIRONMENT}

.ci/docker/ubuntu-xpu/Dockerfile

@@ -77,6 +77,13 @@ 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 ./

.ci/docker/ubuntu/Dockerfile

@@ -1,6 +1,6 @@
 ARG UBUNTU_VERSION
 
-FROM ubuntu:${UBUNTU_VERSION} as base
+FROM ubuntu:${UBUNTU_VERSION}
 
 ARG UBUNTU_VERSION
 
@@ -52,16 +52,9 @@ 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/
-RUN bash ./install_cuda.sh ${CUDA_VERSION} && rm install_cuda.sh install_nccl.sh /ci_commit_pins/nccl-cu*
+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
@@ -81,6 +74,13 @@ 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 ${DB}
+
 # (optional) Install vision packages like OpenCV
 ARG VISION
 COPY ./common/install_vision.sh ./common/cache_vision_models.sh ./common/common_utils.sh ./
@@ -88,6 +88,18 @@ RUN if [ -n "${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 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
@@ -115,21 +127,20 @@ 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
+RUN if [ -n "${TRITON}" ]; then bash ./install_triton.sh; fi
+RUN rm install_triton.sh common_utils.sh triton.txt
 
-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
+ARG TRITON_CPU
+COPY ./common/install_triton.sh install_triton.sh
+COPY ./common/common_utils.sh common_utils.sh
+COPY ci_commit_pins/triton-cpu.txt triton-cpu.txt
+RUN if [ -n "${TRITON_CPU}" ]; then bash ./install_triton.sh; fi
+RUN rm install_triton.sh common_utils.sh triton-cpu.txt
 
 ARG EXECUTORCH
 # Build and install executorch

.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 ?= 6.3
-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/manylinux2_28-builder:rocm${DESIRED_ROCM}-main" \
-	magma-rocm/build_magma.sh
-
-.PHONY: all
-all: magma-rocm63
-all: magma-rocm624
-
-.PHONY:
-clean:
-	$(RM) -r magma-*
-	$(RM) -r output
-
-.PHONY: magma-rocm63
-magma-rocm63: DESIRED_ROCM := 6.3
-magma-rocm63:
-	$(DOCKER_RUN)
-
-.PHONY: magma-rocm624
-magma-rocm624: DESIRED_ROCM := 6.2.4
-magma-rocm624:
-	$(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/Makefile

@@ -12,13 +12,13 @@ DOCKER_RUN = set -eou pipefail; ${DOCKER_CMD} run --rm -i \
 	-e PACKAGE_NAME=${PACKAGE_NAME}${DESIRED_CUDA_SHORT} \
 	-e DESIRED_CUDA=${DESIRED_CUDA} \
 	-e CUDA_ARCH_LIST="${CUDA_ARCH_LIST}" \
-	"pytorch/manylinux2_28-builder:cuda${DESIRED_CUDA}-main" \
+	"pytorch/manylinux-builder:cuda${DESIRED_CUDA}-main" \
 	magma/build_magma.sh
 
 .PHONY: all
-all: magma-cuda128
 all: magma-cuda126
 all: magma-cuda124
+all: magma-cuda121
 all: magma-cuda118
 
 .PHONY:
@@ -26,12 +26,6 @@ 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:
@@ -42,6 +36,11 @@ magma-cuda124: DESIRED_CUDA := 12.4
 magma-cuda124:
 	$(DOCKER_RUN)
 
+.PHONY: magma-cuda121
+magma-cuda121: DESIRED_CUDA := 12.1
+magma-cuda121:
+	$(DOCKER_RUN)
+
 .PHONY: magma-cuda118
 magma-cuda118: DESIRED_CUDA := 11.8
 magma-cuda118: CUDA_ARCH_LIST += -gencode arch=compute_37,code=sm_37

.ci/manywheel/build_common.sh

@@ -111,6 +111,12 @@ case ${DESIRED_PYTHON} in
     ;;
 esac
 
+if [[ "$DESIRED_DEVTOOLSET" == *"cxx11-abi"* ]]; then
+    export _GLIBCXX_USE_CXX11_ABI=1
+else
+    export _GLIBCXX_USE_CXX11_ABI=0
+fi
+
 if [[ "$DESIRED_CUDA" == *"rocm"* ]]; then
     echo "Calling build_amd.py at $(date)"
     python tools/amd_build/build_amd.py
@@ -203,6 +209,12 @@ if [[ -n "$BUILD_PYTHONLESS" ]]; then
 
     mkdir -p /tmp/$LIBTORCH_HOUSE_DIR
 
+    if [[ "$DESIRED_DEVTOOLSET" == *"cxx11-abi"* ]]; then
+        LIBTORCH_ABI="cxx11-abi-"
+    else
+        LIBTORCH_ABI=
+    fi
+
     zip -rq /tmp/$LIBTORCH_HOUSE_DIR/libtorch-$LIBTORCH_ABI$LIBTORCH_VARIANT-$PYTORCH_BUILD_VERSION.zip libtorch
     cp /tmp/$LIBTORCH_HOUSE_DIR/libtorch-$LIBTORCH_ABI$LIBTORCH_VARIANT-$PYTORCH_BUILD_VERSION.zip \
        /tmp/$LIBTORCH_HOUSE_DIR/libtorch-$LIBTORCH_ABI$LIBTORCH_VARIANT-latest.zip

.ci/manywheel/build_cuda.sh

@@ -14,7 +14,6 @@ export USE_CUDA_STATIC_LINK=1
 export INSTALL_TEST=0 # dont install test binaries into site-packages
 export USE_CUPTI_SO=0
 export USE_CUSPARSELT=${USE_CUSPARSELT:-1} # Enable if not disabled by libtorch build
-export USE_CUFILE=${USE_CUFILE:-1}
 
 # Keep an array of cmake variables to add to
 if [[ -z "$CMAKE_ARGS" ]]; then
@@ -53,12 +52,8 @@ cuda_version_nodot=$(echo $CUDA_VERSION | tr -d '.')
 
 TORCH_CUDA_ARCH_LIST="5.0;6.0;7.0;7.5;8.0;8.6"
 case ${CUDA_VERSION} in
-    12.8)
-        TORCH_CUDA_ARCH_LIST="7.5;8.0;8.6;9.0;10.0;12.0+PTX" #removing sm_50-sm_70 as these architectures are deprecated in CUDA 12.8 and will be removed in future releases
-        EXTRA_CAFFE2_CMAKE_FLAGS+=("-DATEN_NO_TEST=ON")
-        ;;
     12.6)
-        TORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST};9.0"
+        TORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST};9.0+PTX"
         EXTRA_CAFFE2_CMAKE_FLAGS+=("-DATEN_NO_TEST=ON")
         ;;
     12.4)
@@ -119,16 +114,7 @@ if [[ $USE_CUSPARSELT == "1" && $CUDA_VERSION == "11.8" ]]; then
         )
 fi
 
-
-# Turn USE_CUFILE off for CUDA 11.8, 12.4 since nvidia-cufile-cu11 and 1.9.0.20 are
-# not available in PYPI
-if [[ $CUDA_VERSION == "11.8" || $CUDA_VERSION == "12.4" ]]; then
-    export USE_CUFILE=0
-fi
-
-
-# CUDA_VERSION 12.4, 12.6, 12.8
-if [[ $CUDA_VERSION == 12* ]]; then
+if [[ $CUDA_VERSION == "12.4" || $CUDA_VERSION == "12.6" ]]; then
     export USE_STATIC_CUDNN=0
     # Try parallelizing nvcc as well
     export TORCH_NVCC_FLAGS="-Xfatbin -compress-all --threads 2"
@@ -169,16 +155,6 @@ if [[ $CUDA_VERSION == 12* ]]; then
             "libnvrtc.so.12"
             "libnvrtc-builtins.so"
         )
-        if [[ $USE_CUFILE == 1 ]]; then
-            DEPS_LIST+=(
-                "/usr/local/cuda/lib64/libcufile.so.0"
-                "/usr/local/cuda/lib64/libcufile_rdma.so.1"
-            )
-            DEPS_SONAME+=(
-                "libcufile.so.0"
-                "libcufile_rdma.so.1"
-            )
-        fi
     else
         echo "Using nvidia libs from pypi."
         CUDA_RPATHS=(
@@ -195,11 +171,6 @@ if [[ $CUDA_VERSION == 12* ]]; then
             '$ORIGIN/../../nvidia/nccl/lib'
             '$ORIGIN/../../nvidia/nvtx/lib'
         )
-        if [[ $USE_CUFILE == 1 ]]; then
-            CUDA_RPATHS+=(
-                '$ORIGIN/../../nvidia/cufile/lib'
-            )
-        fi
         CUDA_RPATHS=$(IFS=: ; echo "${CUDA_RPATHS[*]}")
         export C_SO_RPATH=$CUDA_RPATHS':$ORIGIN:$ORIGIN/lib'
         export LIB_SO_RPATH=$CUDA_RPATHS':$ORIGIN'

.ci/manywheel/build_libtorch.sh

@@ -95,6 +95,12 @@ python setup.py clean
 retry pip install -qr requirements.txt
 retry pip install -q numpy==2.0.1
 
+if [[ "$DESIRED_DEVTOOLSET" == *"cxx11-abi"* ]]; then
+    export _GLIBCXX_USE_CXX11_ABI=1
+else
+    export _GLIBCXX_USE_CXX11_ABI=0
+fi
+
 if [[ "$DESIRED_CUDA" == *"rocm"* ]]; then
     echo "Calling build_amd.py at $(date)"
     python tools/amd_build/build_amd.py
@@ -163,6 +169,12 @@ fi
 
 )
 
+if [[ "$DESIRED_DEVTOOLSET" == *"cxx11-abi"* ]]; then
+    LIBTORCH_ABI="cxx11-abi-"
+else
+    LIBTORCH_ABI=
+fi
+
 (
     set -x
 

.ci/pytorch/build.sh

@@ -35,7 +35,7 @@ if [[ "$BUILD_ENVIRONMENT" == *cuda* ]]; then
 fi
 
 if [[ "$BUILD_ENVIRONMENT" == *cuda11* ]]; then
-  if [[ "$BUILD_ENVIRONMENT" != *clang* ]]; then
+  if [[ "$BUILD_ENVIRONMENT" != *cuda11.3* && "$BUILD_ENVIRONMENT" != *clang* ]]; then
     # TODO: there is a linking issue when building with UCC using clang,
     # disable it for now and to be fix later.
     # TODO: disable UCC temporarily to enable CUDA 12.1 in CI
@@ -173,7 +173,6 @@ if [[ "$BUILD_ENVIRONMENT" == *xpu* ]]; then
   source /opt/intel/oneapi/compiler/latest/env/vars.sh
   # XPU kineto feature dependencies are not fully ready, disable kineto build as temp WA
   export USE_KINETO=0
-  export TORCH_XPU_ARCH_LIST=pvc
 fi
 
 # sccache will fail for CUDA builds if all cores are used for compiling
@@ -192,7 +191,7 @@ fi
 
 # We only build FlashAttention files for CUDA 8.0+, and they require large amounts of
 # memory to build and will OOM
-if [[ "$BUILD_ENVIRONMENT" == *cuda* ]] && [[ 1 -eq $(echo "${TORCH_CUDA_ARCH_LIST} >= 8.0" | bc) ]] && [ -z "$MAX_JOBS_OVERRIDE" ]; then
+if [[ "$BUILD_ENVIRONMENT" == *cuda* ]] && [[ 1 -eq $(echo "${TORCH_CUDA_ARCH_LIST} >= 8.0" | bc) ]]; then
   echo "WARNING: FlashAttention files require large amounts of memory to build and will OOM"
   echo "Setting MAX_JOBS=(nproc-2)/3 to reduce memory usage"
   export MAX_JOBS="$(( $(nproc --ignore=2) / 3 ))"
@@ -277,8 +276,10 @@ else
     # or building non-XLA tests.
     if [[ "$BUILD_ENVIRONMENT" != *rocm*  &&
           "$BUILD_ENVIRONMENT" != *xla* ]]; then
-      # Install numpy-2.0.2 for builds which are backward compatible with 1.X
-      python -mpip install numpy==2.0.2
+      if [[ "$BUILD_ENVIRONMENT" != *py3.8* ]]; then
+        # Install numpy-2.0.2 for builds which are backward compatible with 1.X
+        python -mpip install numpy==2.0.2
+      fi
 
       WERROR=1 python setup.py clean
 
@@ -301,18 +302,6 @@ else
     fi
     pip_install_whl "$(echo dist/*.whl)"
 
-    if [[ "$BUILD_ENVIRONMENT" == *xpu* ]]; then
-      echo "Checking that xpu is compiled"
-      pushd dist/
-      if python -c 'import torch; exit(0 if torch.xpu._is_compiled() else 1)'; then
-        echo "XPU support is compiled in."
-      else
-        echo "XPU support is NOT compiled in."
-        exit 1
-      fi
-      popd
-    fi
-
     # TODO: I'm not sure why, but somehow we lose verbose commands
     set -x
 
@@ -388,10 +377,8 @@ else
     # This is an attempt to mitigate flaky libtorch build OOM error. By default, the build parallelization
     # is set to be the number of CPU minus 2. So, let's try a more conservative value here. A 4xlarge has
     # 16 CPUs
-    if [ -z "$MAX_JOBS_OVERRIDE" ]; then
-      MAX_JOBS=$(nproc --ignore=4)
-      export MAX_JOBS
-    fi
+    MAX_JOBS=$(nproc --ignore=4)
+    export MAX_JOBS
 
     # NB: Install outside of source directory (at the same level as the root
     # pytorch folder) so that it doesn't get cleaned away prior to docker push.

.ci/pytorch/check_binary.sh

@@ -59,16 +59,78 @@ else
   export install_root="$(dirname $(which python))/../lib/python${py_dot}/site-packages/torch/"
 fi
 
+###############################################################################
+# Setup XPU ENV
+###############################################################################
+if [[ "$DESIRED_CUDA" == 'xpu' ]]; then
+  set +u
+  # Refer https://www.intel.com/content/www/us/en/developer/articles/tool/pytorch-prerequisites-for-intel-gpus.html
+  source /opt/intel/oneapi/compiler/latest/env/vars.sh
+  source /opt/intel/oneapi/pti/latest/env/vars.sh
+fi
+
 ###############################################################################
 # Check GCC ABI
 ###############################################################################
 
-# NOTE: As of https://github.com/pytorch/pytorch/issues/126551 we only produce
-#       wheels with cxx11-abi
+# NOTE [ Building libtorch with old vs. new gcc ABI ]
+#
+# Packages built with one version of ABI could not be linked against by client
+# C++ libraries that were compiled using the other version of ABI. Since both
+# gcc ABIs are still common in the wild, we need to support both ABIs. Currently:
+#
+# - All the nightlies built on CentOS 7 + devtoolset7 use the old gcc ABI.
+# - All the nightlies built on Ubuntu 16.04 + gcc 5.4 use the new gcc ABI.
 
 echo "Checking that the gcc ABI is what we expect"
 if [[ "$(uname)" != 'Darwin' ]]; then
-  # We also check that there are cxx11 symbols in libtorch
+  function is_expected() {
+    if [[ "$DESIRED_DEVTOOLSET" == *"cxx11-abi"* || "$DESIRED_CUDA" == *"rocm"* ]]; then
+      if [[ "$1" -gt 0 || "$1" == "ON " ]]; then
+        echo 1
+      fi
+    else
+      if [[ -z "$1" || "$1" == 0 || "$1" == "OFF" ]]; then
+        echo 1
+      fi
+    fi
+  }
+
+  # First we check that the env var in TorchConfig.cmake is correct
+
+  # We search for D_GLIBCXX_USE_CXX11_ABI=1 in torch/TorchConfig.cmake
+  torch_config="${install_root}/share/cmake/Torch/TorchConfig.cmake"
+  if [[ ! -f "$torch_config" ]]; then
+    echo "No TorchConfig.cmake found!"
+    ls -lah "$install_root/share/cmake/Torch"
+    exit 1
+  fi
+  echo "Checking the TorchConfig.cmake"
+  cat "$torch_config"
+
+  # The sed call below is
+  #   don't print lines by default (only print the line we want)
+  # -n
+  #   execute the following expression
+  # e
+  #   replace lines that match with the first capture group and print
+  # s/.*D_GLIBCXX_USE_CXX11_ABI=\(.\)".*/\1/p
+  #   any characters, D_GLIBCXX_USE_CXX11_ABI=, exactly one any character, a
+  #   quote, any characters
+  #   Note the exactly one single character after the '='. In the case that the
+  #     variable is not set the '=' will be followed by a '"' immediately and the
+  #     line will fail the match and nothing will be printed; this is what we
+  #     want.  Otherwise it will capture the 0 or 1 after the '='.
+  # /.*D_GLIBCXX_USE_CXX11_ABI=\(.\)".*/
+  #   replace the matched line with the capture group and print
+  # /\1/p
+  actual_gcc_abi="$(sed -ne 's/.*D_GLIBCXX_USE_CXX11_ABI=\(.\)".*/\1/p' < "$torch_config")"
+  if [[ "$(is_expected "$actual_gcc_abi")" != 1 ]]; then
+    echo "gcc ABI $actual_gcc_abi not as expected."
+    exit 1
+  fi
+
+  # We also check that there are [not] cxx11 symbols in libtorch
   #
   echo "Checking that symbols in libtorch.so have the right gcc abi"
   python3 "$(dirname ${BASH_SOURCE[0]})/smoke_test/check_binary_symbols.py"
@@ -146,11 +208,35 @@ setup_link_flags () {
 
 TEST_CODE_DIR="$(dirname $(realpath ${BASH_SOURCE[0]}))/test_example_code"
 build_and_run_example_cpp () {
+  if [[ "$DESIRED_DEVTOOLSET" == *"cxx11-abi"* ]]; then
+    GLIBCXX_USE_CXX11_ABI=1
+  else
+    GLIBCXX_USE_CXX11_ABI=0
+  fi
   setup_link_flags
-  g++ ${TEST_CODE_DIR}/$1.cpp -I${install_root}/include -I${install_root}/include/torch/csrc/api/include -std=gnu++17 -L${install_root}/lib ${REF_LIB} ${ADDITIONAL_LINKER_FLAGS} -ltorch $TORCH_CPU_LINK_FLAGS $TORCH_CUDA_LINK_FLAGS $C10_LINK_FLAGS -o $1
+  g++ ${TEST_CODE_DIR}/$1.cpp -I${install_root}/include -I${install_root}/include/torch/csrc/api/include -D_GLIBCXX_USE_CXX11_ABI=$GLIBCXX_USE_CXX11_ABI -std=gnu++17 -L${install_root}/lib ${REF_LIB} ${ADDITIONAL_LINKER_FLAGS} -ltorch $TORCH_CPU_LINK_FLAGS $TORCH_CUDA_LINK_FLAGS $C10_LINK_FLAGS -o $1
   ./$1
 }
 
+build_example_cpp_with_incorrect_abi () {
+  if [[ "$DESIRED_DEVTOOLSET" == *"cxx11-abi"* ]]; then
+    GLIBCXX_USE_CXX11_ABI=0
+  else
+    GLIBCXX_USE_CXX11_ABI=1
+  fi
+  set +e
+  setup_link_flags
+  g++ ${TEST_CODE_DIR}/$1.cpp -I${install_root}/include -I${install_root}/include/torch/csrc/api/include -D_GLIBCXX_USE_CXX11_ABI=$GLIBCXX_USE_CXX11_ABI -std=gnu++17 -L${install_root}/lib ${REF_LIB} ${ADDITIONAL_LINKER_FLAGS} -ltorch $TORCH_CPU_LINK_FLAGS $TORCH_CUDA_LINK_FLAGS $C10_LINK_FLAGS -o $1
+  ERRCODE=$?
+  set -e
+  if [ "$ERRCODE" -eq "0" ]; then
+    echo "Building example with incorrect ABI didn't throw error. Aborting."
+    exit 1
+  else
+    echo "Building example with incorrect ABI throws expected error. Proceeding."
+  fi
+}
+
 ###############################################################################
 # Check simple Python/C++ calls
 ###############################################################################
@@ -160,6 +246,11 @@ if [[ "$PACKAGE_TYPE" == 'libtorch' ]]; then
     export LD_LIBRARY_PATH=/usr/local/cuda/lib64
   fi
   build_and_run_example_cpp simple-torch-test
+  # `_GLIBCXX_USE_CXX11_ABI` is always ignored by gcc in devtoolset7, so we test
+  # the expected failure case for Ubuntu 16.04 + gcc 5.4 only.
+  if [[ "$DESIRED_DEVTOOLSET" == *"cxx11-abi"* ]]; then
+    build_example_cpp_with_incorrect_abi simple-torch-test
+  fi
 else
   pushd /tmp
   python -c 'import torch'
@@ -216,14 +307,6 @@ else
   fi
 fi
 
-###############################################################################
-# Check XPU configured correctly
-###############################################################################
-if [[ "$DESIRED_CUDA" == 'xpu' && "$PACKAGE_TYPE" != 'libtorch' ]]; then
-  echo "Checking that xpu is compiled"
-  python -c 'import torch; exit(0 if torch.xpu._is_compiled() else 1)'
-fi
-
 ###############################################################################
 # Check CUDA configured correctly
 ###############################################################################
@@ -302,19 +385,10 @@ except RuntimeError as e:
 fi
 
 ###############################################################################
-# Check for C++ ABI compatibility to GCC-11
+# Check for C++ ABI compatibility between gcc7 and gcc9 compiled binaries
 ###############################################################################
-if [[ "$(uname)" == 'Linux' &&  "$PACKAGE_TYPE" == 'manywheel' ]]; then
+if [[ "$(uname)" == 'Linux' && ("$PACKAGE_TYPE" == 'conda' || "$PACKAGE_TYPE" == 'manywheel')]]; then
   pushd /tmp
-  # Per https://gcc.gnu.org/onlinedocs/gcc/C_002b_002b-Dialect-Options.html gcc-11 is ABI16
-  # Though manylinux_2.28 should have been build with gcc-14, per
-  # https://github.com/pypa/manylinux?tab=readme-ov-file#manylinux_2_28-almalinux-8-based
-  # On s390x gcc 14 is used because it contains fix for interaction
-  # between precompiled headers and vectorization builtins.
-  # This fix is not available in earlier gcc versions.
-  # gcc-14 uses ABI19.
-  if [[ "$(uname -m)" != "s390x" ]]; then
-    python -c "import torch; exit(0 if torch._C._PYBIND11_BUILD_ABI == '_cxxabi1016' else 1)"
-  fi
+  python -c "import torch; exit(0 if torch.compiled_with_cxx11_abi() else (0 if torch._C._PYBIND11_BUILD_ABI == '_cxxabi1011' else 1))"
   popd
 fi

.ci/pytorch/common_utils.sh

@@ -169,34 +169,24 @@ function install_torchrec_and_fbgemm() {
   torchrec_commit=$(get_pinned_commit torchrec)
   local fbgemm_commit
   fbgemm_commit=$(get_pinned_commit fbgemm)
-  if [[ "$BUILD_ENVIRONMENT" == *rocm* ]] ; then
-    fbgemm_commit=$(get_pinned_commit fbgemm_rocm)
-  fi
   pip_uninstall torchrec-nightly
   pip_uninstall fbgemm-gpu-nightly
   pip_install setuptools-git-versioning scikit-build pyre-extensions
 
-  if [[ "$BUILD_ENVIRONMENT" == *rocm* ]] ; then
-    # install torchrec first because it installs fbgemm nightly on top of rocm fbgemm
-    pip_install --no-use-pep517 --user "git+https://github.com/pytorch/torchrec.git@${torchrec_commit}"
-    pip_uninstall fbgemm-gpu-nightly
+  # TODO (huydhn): I still have no clue on why sccache doesn't work with only fbgemm_gpu here, but it
+  # seems to be an sccache-related issue
+  if [[ "$IS_A100_RUNNER" == "1" ]]; then
+    unset CMAKE_CUDA_COMPILER_LAUNCHER
+    sudo mv /opt/cache/bin /opt/cache/bin-backup
+  fi
 
-    pip_install tabulate  # needed for newer fbgemm
-    pip_install patchelf  # needed for rocm fbgemm
-    git clone --recursive https://github.com/pytorch/fbgemm
-    pushd fbgemm/fbgemm_gpu
-    git checkout "${fbgemm_commit}"
-    python setup.py install \
-      --package_variant=rocm \
-      -DHIP_ROOT_DIR="${ROCM_PATH}" \
-      -DCMAKE_C_FLAGS="-DTORCH_USE_HIP_DSA" \
-      -DCMAKE_CXX_FLAGS="-DTORCH_USE_HIP_DSA"
-    popd
-    rm -rf fbgemm
-  else
-    # See https://github.com/pytorch/pytorch/issues/106971
-    CUDA_PATH=/usr/local/cuda-12.1 pip_install --no-use-pep517 --user "git+https://github.com/pytorch/FBGEMM.git@${fbgemm_commit}#egg=fbgemm-gpu&subdirectory=fbgemm_gpu"
-    pip_install --no-use-pep517 --user "git+https://github.com/pytorch/torchrec.git@${torchrec_commit}"
+  # See https://github.com/pytorch/pytorch/issues/106971
+  CUDA_PATH=/usr/local/cuda-12.1 pip_install --no-use-pep517 --user "git+https://github.com/pytorch/FBGEMM.git@${fbgemm_commit}#egg=fbgemm-gpu&subdirectory=fbgemm_gpu"
+  pip_install --no-use-pep517 --user "git+https://github.com/pytorch/torchrec.git@${torchrec_commit}"
+
+  if [[ "$IS_A100_RUNNER" == "1" ]]; then
+    export CMAKE_CUDA_COMPILER_LAUNCHER=/opt/cache/bin/sccache
+    sudo mv /opt/cache/bin-backup /opt/cache/bin
   fi
 }
 
@@ -226,11 +216,6 @@ function checkout_install_torchbench() {
     # to install and test other models
     python install.py --continue_on_fail
   fi
-
-  # TODO (huydhn): transformers-4.44.2 added by https://github.com/pytorch/benchmark/pull/2488
-  # is regressing speedup metric. This needs to be investigated further
-  pip install transformers==4.38.1
-
   echo "Print all dependencies after TorchBench is installed"
   python -mpip freeze
   popd

.ci/pytorch/macos-build.sh

@@ -33,11 +33,55 @@ if which sccache > /dev/null; then
   export PATH="${tmp_dir}:$PATH"
 fi
 
+cross_compile_arm64() {
+  # Cross compilation for arm64
+  # Explicitly set USE_DISTRIBUTED=0 to align with the default build config on mac. This also serves as the sole CI config that tests
+  # that building with USE_DISTRIBUTED=0 works at all. See https://github.com/pytorch/pytorch/issues/86448
+  USE_DISTRIBUTED=0 CMAKE_OSX_ARCHITECTURES=arm64 MACOSX_DEPLOYMENT_TARGET=11.0 USE_MKLDNN=OFF USE_QNNPACK=OFF WERROR=1 BUILD_TEST=OFF USE_PYTORCH_METAL=1 python setup.py bdist_wheel
+}
+
+compile_arm64() {
+  # Compilation for arm64
+  # TODO: Compile with OpenMP support (but this causes CI regressions as cross-compilation were done with OpenMP disabled)
+  USE_DISTRIBUTED=0 USE_OPENMP=1 MACOSX_DEPLOYMENT_TARGET=11.0 WERROR=1 BUILD_TEST=OFF USE_PYTORCH_METAL=1 python setup.py bdist_wheel
+}
+
+compile_x86_64() {
+  USE_DISTRIBUTED=0 WERROR=1 python setup.py bdist_wheel --plat-name=macosx_10_9_x86_64
+}
+
+build_lite_interpreter() {
+    echo "Testing libtorch (lite interpreter)."
+
+    CPP_BUILD="$(pwd)/../cpp_build"
+    # Ensure the removal of the tmp directory
+    trap 'rm -rfv ${CPP_BUILD}' EXIT
+    rm -rf "${CPP_BUILD}"
+    mkdir -p "${CPP_BUILD}/caffe2"
+
+    # It looks libtorch need to be built in "${CPP_BUILD}/caffe2 folder.
+    BUILD_LIBTORCH_PY=$PWD/tools/build_libtorch.py
+    pushd "${CPP_BUILD}/caffe2" || exit
+    VERBOSE=1 DEBUG=1 python "${BUILD_LIBTORCH_PY}"
+    popd || exit
+
+    "${CPP_BUILD}/caffe2/build/bin/test_lite_interpreter_runtime"
+}
+
 print_cmake_info
 
-# Explicitly set USE_DISTRIBUTED=0 to align with the default build config on mac. This also serves as the sole CI config that tests
-# that building with USE_DISTRIBUTED=0 works at all. See https://github.com/pytorch/pytorch/issues/86448
-USE_DISTRIBUTED=0 USE_OPENMP=1 MACOSX_DEPLOYMENT_TARGET=11.0 WERROR=1 BUILD_TEST=OFF USE_PYTORCH_METAL=1 python setup.py bdist_wheel
+if [[ ${BUILD_ENVIRONMENT} = *arm64* ]]; then
+  if [[ $(uname -m) == "arm64" ]]; then
+    compile_arm64
+  else
+    cross_compile_arm64
+  fi
+elif [[ ${BUILD_ENVIRONMENT} = *lite-interpreter* ]]; then
+  export BUILD_LITE_INTERPRETER=1
+  build_lite_interpreter
+else
+  compile_x86_64
+fi
 
 if which sccache > /dev/null; then
   print_sccache_stats

.ci/pytorch/macos-test.sh

@@ -18,9 +18,6 @@ if [[ ! $(python -c "import torch; print(int(torch.backends.openmp.is_available(
 fi
 popd
 
-# enable debug asserts in serialization
-export TORCH_SERIALIZATION_DEBUG=1
-
 setup_test_python() {
   # The CircleCI worker hostname doesn't resolve to an address.
   # This environment variable makes ProcessGroupGloo default to

.ci/pytorch/run_tests.sh

@@ -40,7 +40,7 @@ retry () {
 if [[ "$#" != 3 ]]; then
   if [[ -z "${DESIRED_PYTHON:-}" || -z "${DESIRED_CUDA:-}" || -z "${PACKAGE_TYPE:-}" ]]; then
     echo "USAGE: run_tests.sh  PACKAGE_TYPE  DESIRED_PYTHON  DESIRED_CUDA"
-    echo "The env variable PACKAGE_TYPE must be set to 'manywheel' or 'libtorch'"
+    echo "The env variable PACKAGE_TYPE must be set to 'conda' or 'manywheel' or 'libtorch'"
     echo "The env variable DESIRED_PYTHON must be set like '2.7mu' or '3.6m' etc"
     echo "The env variable DESIRED_CUDA must be set like 'cpu' or 'cu80' etc"
     exit 1

.ci/pytorch/smoke_test/check_binary_symbols.py

@@ -6,7 +6,7 @@ import itertools
 import os
 import re
 from pathlib import Path
-from typing import Any
+from typing import Any, List, Tuple
 
 
 # We also check that there are [not] cxx11 symbols in libtorch
@@ -46,17 +46,17 @@ LIBTORCH_PRE_CXX11_PATTERNS = _apply_libtorch_symbols(PRE_CXX11_SYMBOLS)
 
 
 @functools.lru_cache(100)
-def get_symbols(lib: str) -> list[tuple[str, str, str]]:
+def get_symbols(lib: str) -> List[Tuple[str, str, str]]:
     from subprocess import check_output
 
     lines = check_output(f'nm "{lib}"|c++filt', shell=True)
     return [x.split(" ", 2) for x in lines.decode("latin1").split("\n")[:-1]]
 
 
-def grep_symbols(lib: str, patterns: list[Any]) -> list[str]:
+def grep_symbols(lib: str, patterns: List[Any]) -> List[str]:
     def _grep_symbols(
-        symbols: list[tuple[str, str, str]], patterns: list[Any]
-    ) -> list[str]:
+        symbols: List[Tuple[str, str, str]], patterns: List[Any]
+    ) -> List[str]:
         rc = []
         for _s_addr, _s_type, s_name in symbols:
             for pattern in patterns:
@@ -80,7 +80,7 @@ def grep_symbols(lib: str, patterns: list[Any]) -> list[str]:
         return functools.reduce(list.__add__, (x.result() for x in tasks), [])
 
 
-def check_lib_symbols_for_abi_correctness(lib: str) -> None:
+def check_lib_symbols_for_abi_correctness(lib: str, pre_cxx11_abi: bool = True) -> None:
     print(f"lib: {lib}")
     cxx11_symbols = grep_symbols(lib, LIBTORCH_CXX11_PATTERNS)
     pre_cxx11_symbols = grep_symbols(lib, LIBTORCH_PRE_CXX11_PATTERNS)
@@ -88,12 +88,28 @@ def check_lib_symbols_for_abi_correctness(lib: str) -> None:
     num_pre_cxx11_symbols = len(pre_cxx11_symbols)
     print(f"num_cxx11_symbols: {num_cxx11_symbols}")
     print(f"num_pre_cxx11_symbols: {num_pre_cxx11_symbols}")
-    if num_pre_cxx11_symbols > 0:
-        raise RuntimeError(
-            f"Found pre-cxx11 symbols, but there shouldn't be any, see: {pre_cxx11_symbols[:100]}"
+    if pre_cxx11_abi:
+        if num_cxx11_symbols > 0:
+            raise RuntimeError(
+                f"Found cxx11 symbols, but there shouldn't be any, see: {cxx11_symbols[:100]}"
+            )
+        if num_pre_cxx11_symbols < 1000:
+            raise RuntimeError("Didn't find enough pre-cxx11 symbols.")
+        # Check for no recursive iterators, regression test for https://github.com/pytorch/pytorch/issues/133437
+        rec_iter_symbols = grep_symbols(
+            lib, [re.compile("std::filesystem::recursive_directory_iterator.*")]
         )
-    if num_cxx11_symbols < 100:
-        raise RuntimeError("Didn't find enought cxx11 symbols")
+        if len(rec_iter_symbols) > 0:
+            raise RuntimeError(
+                f"recursive_directory_iterator in used pre-CXX11 binaries, see; {rec_iter_symbols}"
+            )
+    else:
+        if num_pre_cxx11_symbols > 0:
+            raise RuntimeError(
+                f"Found pre-cxx11 symbols, but there shouldn't be any, see: {pre_cxx11_symbols[:100]}"
+            )
+        if num_cxx11_symbols < 100:
+            raise RuntimeError("Didn't find enought cxx11 symbols")
 
 
 def main() -> None:
@@ -105,8 +121,9 @@ def main() -> None:
         else:
             install_root = Path(distutils.sysconfig.get_python_lib()) / "torch"
 
-    libtorch_cpu_path = str(install_root / "lib" / "libtorch_cpu.so")
-    check_lib_symbols_for_abi_correctness(libtorch_cpu_path)
+    libtorch_cpu_path = install_root / "lib" / "libtorch_cpu.so"
+    pre_cxx11_abi = "cxx11-abi" not in os.getenv("DESIRED_DEVTOOLSET", "")
+    check_lib_symbols_for_abi_correctness(libtorch_cpu_path, pre_cxx11_abi)
 
 
 if __name__ == "__main__":

.ci/pytorch/smoke_test/max_autotune.py

@@ -46,9 +46,7 @@ def train(args, model, device, train_loader, optimizer, epoch):
         optimizer.step()
         if batch_idx % args.log_interval == 0:
             print(
-                f"Train Epoch: {epoch} "
-                f"[{batch_idx * len(data)}/{len(train_loader.dataset)} "
-                f"({100.0 * batch_idx / len(train_loader):.0f}%)]\tLoss: {loss.item():.6f}"
+                f"Train Epoch: {epoch} [{batch_idx * len(data)}/{len(train_loader.dataset)} ({100. * batch_idx / len(train_loader):.0f}%)]\tLoss: {loss.item():.6f}"  # noqa: B950
             )
             if args.dry_run:
                 break
@@ -73,9 +71,7 @@ def test(model, device, test_loader):
     test_loss /= len(test_loader.dataset)
 
     print(
-        f"\nTest set: Average loss: {test_loss:.4f}, "
-        f"Accuracy: {correct}/{len(test_loader.dataset)} "
-        f"({100.0 * correct / len(test_loader.dataset):.0f}%)\n"
+        f"\nTest set: Average loss: {test_loss:.4f}, Accuracy: {correct}/{len(test_loader.dataset)} ({100. * correct / len(test_loader.dataset):.0f}%)\n"  # noqa: B950
     )
 
 

.ci/pytorch/smoke_test/smoke_test.py

@@ -6,8 +6,6 @@ import re
 import subprocess
 import sys
 from pathlib import Path
-from tempfile import NamedTemporaryFile
-from typing import Optional
 
 import torch
 import torch._dynamo
@@ -77,13 +75,10 @@ def read_release_matrix():
 
 
 def test_numpy():
-    try:
-        import numpy as np
+    import numpy as np
 
-        x = np.arange(5)
-        torch.tensor(x)
-    except ImportError:
-        print("Numpy check skipped. Numpy is not installed.")
+    x = np.arange(5)
+    torch.tensor(x)
 
 
 def check_version(package: str) -> None:
@@ -166,71 +161,8 @@ def test_cuda_runtime_errors_captured() -> None:
         raise RuntimeError("Expected CUDA RuntimeError but have not received!")
 
 
-def test_cuda_gds_errors_captured() -> None:
-    major_version = int(torch.version.cuda.split(".")[0])
-    minor_version = int(torch.version.cuda.split(".")[1])
-
-    if target_os == "windows":
-        print(f"{target_os} is not supported for GDS smoke test")
-        return
-
-    if major_version < 12 or (major_version == 12 and minor_version < 6):
-        print("CUDA version is not supported for GDS smoke test")
-        return
-
-    cuda_exception_missed = True
-    try:
-        print("Testing test_cuda_gds_errors_captured")
-        with NamedTemporaryFile() as f:
-            torch.cuda.gds.GdsFile(f.name, os.O_CREAT | os.O_RDWR)
-    except RuntimeError as e:
-        expected_error = "cuFileHandleRegister failed"
-        if re.search(expected_error, f"{e}"):
-            print(f"Caught CUDA exception with success: {e}")
-            cuda_exception_missed = False
-        else:
-            raise e
-    if cuda_exception_missed:
-        raise RuntimeError(
-            "Expected cuFileHandleRegister failed RuntimeError but have not received!"
-        )
-
-
-def find_pypi_package_version(package: str) -> Optional[str]:
-    from importlib import metadata
-
-    dists = metadata.distributions()
-    for dist in dists:
-        if dist.metadata["Name"].startswith(package):
-            return dist.version
-    return None
-
-
-def cudnn_to_version_str(cudnn_version: int) -> str:
-    patch = int(cudnn_version % 10)
-    minor = int((cudnn_version / 100) % 100)
-    major = int((cudnn_version / 10000) % 10000)
-    return f"{major}.{minor}.{patch}"
-
-
-def compare_pypi_to_torch_versions(
-    package: str, pypi_version: str, torch_version: str
-) -> None:
-    if pypi_version is None:
-        raise RuntimeError(f"Can't find {package} in PyPI for Torch: {torch_version}")
-    if pypi_version.startswith(torch_version):
-        print(f"Found matching {package}. Torch: {torch_version} PyPI {pypi_version}")
-    else:
-        raise RuntimeError(
-            f"Wrong {package} version. Torch: {torch_version} PyPI: {pypi_version}"
-        )
-
-
 def smoke_test_cuda(
-    package: str,
-    runtime_error_check: str,
-    torch_compile_check: str,
-    pypi_pkg_check: str,
+    package: str, runtime_error_check: str, torch_compile_check: str
 ) -> None:
     if not torch.cuda.is_available() and is_cuda_system:
         raise RuntimeError(f"Expected CUDA {gpu_arch_ver}. However CUDA is not loaded.")
@@ -260,30 +192,20 @@ def smoke_test_cuda(
             raise RuntimeError(
                 f"Wrong CUDA version. Loaded: {torch.version.cuda} Expected: {gpu_arch_ver}"
             )
-
         print(f"torch cuda: {torch.version.cuda}")
+        # todo add cudnn version validation
+        print(f"torch cudnn: {torch.backends.cudnn.version()}")
+        print(f"cuDNN enabled? {torch.backends.cudnn.enabled}")
+
         torch.cuda.init()
         print("CUDA initialized successfully")
         print(f"Number of CUDA devices: {torch.cuda.device_count()}")
         for i in range(torch.cuda.device_count()):
             print(f"Device {i}: {torch.cuda.get_device_name(i)}")
 
-        print(f"cuDNN enabled? {torch.backends.cudnn.enabled}")
-        torch_cudnn_version = cudnn_to_version_str(torch.backends.cudnn.version())
-        print(f"Torch cuDNN version: {torch_cudnn_version}")
-
+        # nccl is availbale only on Linux
         if sys.platform in ["linux", "linux2"]:
-            torch_nccl_version = ".".join(str(v) for v in torch.cuda.nccl.version())
-            print(f"Torch nccl; version: {torch_nccl_version}")
-
-        # Pypi dependencies are installed on linux ony and nccl is availbale only on Linux.
-        if pypi_pkg_check == "enabled" and sys.platform in ["linux", "linux2"]:
-            compare_pypi_to_torch_versions(
-                "cudnn", find_pypi_package_version("nvidia-cudnn"), torch_cudnn_version
-            )
-            compare_pypi_to_torch_versions(
-                "nccl", find_pypi_package_version("nvidia-nccl"), torch_nccl_version
-            )
+            print(f"torch nccl version: {torch.cuda.nccl.version()}")
 
         if runtime_error_check == "enabled":
             test_cuda_runtime_errors_captured()
@@ -442,13 +364,6 @@ def parse_args():
         choices=["enabled", "disabled"],
         default="enabled",
     )
-    parser.add_argument(
-        "--pypi-pkg-check",
-        help="Check pypi package versions cudnn and nccl",
-        type=str,
-        choices=["enabled", "disabled"],
-        default="enabled",
-    )
     return parser.parse_args()
 
 
@@ -464,19 +379,14 @@ def main() -> None:
     smoke_test_conv2d()
     test_linalg()
     test_numpy()
-
     if is_cuda_system:
         test_linalg("cuda")
-        test_cuda_gds_errors_captured()
 
     if options.package == "all":
         smoke_test_modules()
 
     smoke_test_cuda(
-        options.package,
-        options.runtime_error_check,
-        options.torch_compile_check,
-        options.pypi_pkg_check,
+        options.package, options.runtime_error_check, options.torch_compile_check
     )
 
 

.ci/pytorch/test.sh

@@ -46,9 +46,6 @@ BUILD_BIN_DIR="$BUILD_DIR"/bin
 SHARD_NUMBER="${SHARD_NUMBER:=1}"
 NUM_TEST_SHARDS="${NUM_TEST_SHARDS:=1}"
 
-# enable debug asserts in serialization
-export TORCH_SERIALIZATION_DEBUG=1
-
 export VALGRIND=ON
 # export TORCH_INDUCTOR_INSTALL_GXX=ON
 if [[ "$BUILD_ENVIRONMENT" == *clang9* || "$BUILD_ENVIRONMENT" == *xpu* ]]; then
@@ -177,9 +174,6 @@ if [[ "$BUILD_ENVIRONMENT" == *rocm* ]]; then
   # Print GPU info
   rocminfo
   rocminfo | grep -E 'Name:.*\sgfx|Marketing'
-
-  # for benchmarks/dynamo/check_accuracy.py, we need to put results in a rocm specific directory to avoid clashes with cuda
-  MAYBE_ROCM="rocm/"
 fi
 
 if [[ "$BUILD_ENVIRONMENT" == *xpu* ]]; then
@@ -314,13 +308,6 @@ test_python() {
   assert_git_not_dirty
 }
 
-test_lazy_tensor_meta_reference_disabled() {
-  export TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1
-  echo "Testing lazy tensor operations without meta reference"
-  time python test/run_test.py --include lazy/test_ts_opinfo.py --verbose
-  export -n TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE
-}
-
 
 test_dynamo_wrapped_shard() {
   if [[ -z "$NUM_TEST_SHARDS" ]]; then
@@ -424,10 +411,7 @@ test_inductor_cpp_wrapper_shard() {
 
   # Run certain inductor unit tests with cpp wrapper. In the end state, we
   # should be able to run all the inductor unit tests with cpp_wrapper.
-  python test/run_test.py \
-    --include inductor/test_torchinductor inductor/test_max_autotune inductor/test_cpu_repro \
-    --verbose
-  python test/run_test.py --inductor --include test_torch -k 'take' --verbose
+  python test/run_test.py --include inductor/test_torchinductor --verbose
 
   # Run inductor benchmark tests with cpp wrapper.
   # Skip benchmark tests if it's in rerun-disabled-mode.
@@ -440,7 +424,7 @@ test_inductor_cpp_wrapper_shard() {
     --output "$TEST_REPORTS_DIR/inductor_cpp_wrapper_training.csv"
     python benchmarks/dynamo/check_accuracy.py \
       --actual "$TEST_REPORTS_DIR/inductor_cpp_wrapper_training.csv" \
-      --expected "benchmarks/dynamo/ci_expected_accuracy/${MAYBE_ROCM}inductor_timm_training.csv"
+      --expected "benchmarks/dynamo/ci_expected_accuracy/inductor_timm_training.csv"
 
     python benchmarks/dynamo/torchbench.py --device cuda --accuracy \
       --bfloat16 --inference --inductor --only hf_T5 --output "$TEST_REPORTS_DIR/inductor_cpp_wrapper_inference.csv"
@@ -450,7 +434,7 @@ test_inductor_cpp_wrapper_shard() {
       --bfloat16 --inference --inductor --only moco --output "$TEST_REPORTS_DIR/inductor_cpp_wrapper_inference.csv"
     python benchmarks/dynamo/check_accuracy.py \
       --actual "$TEST_REPORTS_DIR/inductor_cpp_wrapper_inference.csv" \
-      --expected "benchmarks/dynamo/ci_expected_accuracy/${MAYBE_ROCM}inductor_torchbench_inference.csv"
+      --expected "benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_inference.csv"
   fi
 }
 
@@ -483,8 +467,6 @@ elif [[ "${TEST_CONFIG}" == *aot_eager* ]]; then
   DYNAMO_BENCHMARK_FLAGS+=(--backend aot_eager)
 elif [[ "${TEST_CONFIG}" == *aot_inductor* ]]; then
   DYNAMO_BENCHMARK_FLAGS+=(--export-aot-inductor)
-elif [[ "${TEST_CONFIG}" == *max_autotune_inductor* ]]; then
-  DYNAMO_BENCHMARK_FLAGS+=(--inductor --inductor-compile-mode max-autotune)
 elif [[ "${TEST_CONFIG}" == *inductor* && "${TEST_CONFIG}" != *perf* ]]; then
   DYNAMO_BENCHMARK_FLAGS+=(--inductor)
 fi
@@ -499,59 +481,6 @@ else
   DYNAMO_BENCHMARK_FLAGS+=(--device cuda)
 fi
 
-test_cachebench() {
-  TEST_REPORTS_DIR=$(pwd)/test/test-reports
-  mkdir -p "$TEST_REPORTS_DIR"
-
-  local BENCHMARK
-  if [[ "${SHARD_NUMBER}" == 1 ]]; then
-    local BENCHMARK=torchbench
-  elif [[ "${SHARD_NUMBER}" == 2 ]]; then
-    local BENCHMARK=huggingface
-  else
-    echo "invalid SHARD_NUMBER: ${SHARD_NUMBER}"
-    exit 1
-  fi
-
-  local mode_options=("training" "inference")
-
-  for mode in "${mode_options[@]}"; do
-    $TASKSET python "benchmarks/dynamo/cachebench.py" \
-        --mode "$mode" \
-        --device cuda \
-        --benchmark "$BENCHMARK" \
-        --repeat 3 \
-        --output "$TEST_REPORTS_DIR/cachebench_${BENCHMARK}_${mode}.json"
-
-    $TASKSET python "benchmarks/dynamo/cachebench.py" \
-        --mode "$mode" \
-        --dynamic \
-        --device cuda \
-        --benchmark "$BENCHMARK" \
-        --repeat 3 \
-        --output "$TEST_REPORTS_DIR/cachebench_${BENCHMARK}_${mode}_dynamic.json"
-  done
-}
-
-test_verify_cachebench() {
-  TMP_TEST_REPORTS_DIR=$(mktemp -d)
-  TEST_OUTPUT="$TMP_TEST_REPORTS_DIR/test.json"
-
-  $TASKSET python "benchmarks/dynamo/cachebench.py" \
-      --mode training \
-      --device cpu \
-      --model nanogpt \
-      --benchmark torchbench \
-      --output "$TEST_OUTPUT"
-
-  # -s checks file exists and is non empty
-  if [[ ! -s "$TEST_OUTPUT" ]]; then
-    echo "Cachebench failed to produce an output."
-    echo "Run 'python benchmarks/dynamo/cachebench.py' to make sure it works"
-    exit 1
-  fi
-}
-
 test_perf_for_dashboard() {
   TEST_REPORTS_DIR=$(pwd)/test/test-reports
   mkdir -p "$TEST_REPORTS_DIR"
@@ -580,10 +509,6 @@ test_perf_for_dashboard() {
     test_inductor_set_cpu_affinity
   elif [[ "${TEST_CONFIG}" == *cuda_a10g* ]]; then
     device=cuda_a10g
-  elif [[ "${TEST_CONFIG}" == *h100* ]]; then
-    device=cuda_h100
-  elif [[ "${TEST_CONFIG}" == *rocm* ]]; then
-    device=rocm
   fi
 
   for mode in "${modes[@]}"; do
@@ -700,16 +625,16 @@ test_single_dynamo_benchmark() {
       TEST_CONFIG=${TEST_CONFIG//_avx512/}
     fi
     python "benchmarks/dynamo/$suite.py" \
-      --ci --accuracy --timing --explain --print-compilation-time \
+      --ci --accuracy --timing --explain \
       "${DYNAMO_BENCHMARK_FLAGS[@]}" \
       "$@" "${partition_flags[@]}" \
       --output "$TEST_REPORTS_DIR/${name}_${suite}.csv"
     python benchmarks/dynamo/check_accuracy.py \
       --actual "$TEST_REPORTS_DIR/${name}_$suite.csv" \
-      --expected "benchmarks/dynamo/ci_expected_accuracy/${MAYBE_ROCM}${TEST_CONFIG}_${name}.csv"
+      --expected "benchmarks/dynamo/ci_expected_accuracy/${TEST_CONFIG}_${name}.csv"
     python benchmarks/dynamo/check_graph_breaks.py \
       --actual "$TEST_REPORTS_DIR/${name}_$suite.csv" \
-      --expected "benchmarks/dynamo/ci_expected_accuracy/${MAYBE_ROCM}${TEST_CONFIG}_${name}.csv"
+      --expected "benchmarks/dynamo/ci_expected_accuracy/${TEST_CONFIG}_${name}.csv"
   fi
 }
 
@@ -732,7 +657,7 @@ test_inductor_halide() {
 }
 
 test_inductor_triton_cpu() {
-  python test/run_test.py --include inductor/test_triton_cpu_backend.py inductor/test_torchinductor_strided_blocks.py --verbose
+  python test/run_test.py --include inductor/test_triton_cpu_backend.py --verbose
   assert_git_not_dirty
 }
 
@@ -762,8 +687,6 @@ test_dynamo_benchmark() {
       fi
     elif [[ "${TEST_CONFIG}" == *aot_inductor* ]]; then
       test_single_dynamo_benchmark "inference" "$suite" "$shard_id" --inference --bfloat16 "$@"
-    elif [[ "${TEST_CONFIG}" == *max_autotune_inductor* ]]; then
-      test_single_dynamo_benchmark "inference" "$suite" "$shard_id" --inference --bfloat16 "$@"
     else
       test_single_dynamo_benchmark "inference" "$suite" "$shard_id" --inference --bfloat16 "$@"
       test_single_dynamo_benchmark "training" "$suite" "$shard_id" --training --amp "$@"
@@ -798,7 +721,7 @@ test_inductor_torchbench_smoketest_perf() {
       --only $test --output "$TEST_REPORTS_DIR/inductor_warm_start_smoketest_$test.csv"
     python benchmarks/dynamo/check_accuracy.py \
       --actual "$TEST_REPORTS_DIR/inductor_warm_start_smoketest_$test.csv" \
-      --expected "benchmarks/dynamo/ci_expected_accuracy/${MAYBE_ROCM}inductor_huggingface_training.csv"
+      --expected "benchmarks/dynamo/ci_expected_accuracy/inductor_huggingface_training.csv"
   done
 }
 
@@ -1173,7 +1096,7 @@ build_xla() {
   apply_patches
   SITE_PACKAGES="$(python -c 'from distutils.sysconfig import get_python_lib; print(get_python_lib())')"
   # These functions are defined in .circleci/common.sh in pytorch/xla repo
-  retry install_pre_deps_pytorch_xla $XLA_DIR $USE_CACHE
+  retry install_deps_pytorch_xla $XLA_DIR $USE_CACHE
   CMAKE_PREFIX_PATH="${SITE_PACKAGES}/torch:${CMAKE_PREFIX_PATH}" XLA_SANDBOX_BUILD=1 build_torch_xla $XLA_DIR
   assert_git_not_dirty
 }
@@ -1474,13 +1397,14 @@ test_executorch() {
   pushd /executorch
 
   export PYTHON_EXECUTABLE=python
-  export CMAKE_ARGS="-DEXECUTORCH_BUILD_PYBIND=ON -DEXECUTORCH_BUILD_XNNPACK=ON -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON"
+  export EXECUTORCH_BUILD_PYBIND=ON
+  export CMAKE_ARGS="-DEXECUTORCH_BUILD_XNNPACK=ON -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON"
 
   # For llama3
   bash examples/models/llama3_2_vision/install_requirements.sh
   # NB: We need to rebuild ExecuTorch runner here because it depends on PyTorch
   # from the PR
-  bash .ci/scripts/setup-linux.sh --build-tool cmake
+  bash .ci/scripts/setup-linux.sh cmake
 
   echo "Run ExecuTorch unit tests"
   pytest -v -n auto
@@ -1504,7 +1428,7 @@ test_executorch() {
 test_linux_aarch64() {
   python test/run_test.py --include test_modules test_mkldnn test_mkldnn_fusion test_openmp test_torch test_dynamic_shapes \
         test_transformers test_multiprocessing test_numpy_interop test_autograd test_binary_ufuncs test_complex test_spectral_ops \
-        test_foreach test_reductions test_unary_ufuncs test_tensor_creation_ops test_ops \
+        test_foreach test_reductions test_unary_ufuncs \
         --shard "$SHARD_NUMBER" "$NUM_TEST_SHARDS" --verbose
 
   # Dynamo tests
@@ -1526,27 +1450,6 @@ test_linux_aarch64() {
        --shard "$SHARD_NUMBER" "$NUM_TEST_SHARDS" --verbose
 }
 
-test_operator_benchmark() {
-  TEST_REPORTS_DIR=$(pwd)/test/test-reports
-  mkdir -p "$TEST_REPORTS_DIR"
-  TEST_DIR=$(pwd)
-
-  test_inductor_set_cpu_affinity
-
-  cd benchmarks/operator_benchmark/pt_extension
-  python setup.py install
-
-  cd "${TEST_DIR}"/benchmarks/operator_benchmark
-  $TASKSET python -m benchmark_all_test --device "$1" --tag-filter "$2" \
-      --output-dir "${TEST_REPORTS_DIR}/operator_benchmark_eager_float32_cpu.csv"
-
-  pip_install pandas
-  python check_perf_csv.py \
-      --actual "${TEST_REPORTS_DIR}/operator_benchmark_eager_float32_cpu.csv" \
-      --expected "expected_ci_operator_benchmark_eager_float32_cpu.csv"
-}
-
-
 if ! [[ "${BUILD_ENVIRONMENT}" == *libtorch* || "${BUILD_ENVIRONMENT}" == *-bazel-* ]]; then
   (cd test && python -c "import torch; print(torch.__config__.show())")
   (cd test && python -c "import torch; print(torch.__config__.parallel_info())")
@@ -1577,19 +1480,6 @@ elif [[ "$TEST_CONFIG" == distributed ]]; then
   if [[ "${SHARD_NUMBER}" == 1 ]]; then
     test_rpc
   fi
-elif [[ "${TEST_CONFIG}" == *operator_benchmark* ]]; then
-  TEST_MODE="short"
-
-  if [[ "${TEST_CONFIG}" == *cpu* ]]; then
-    if [[ "${TEST_CONFIG}" == *long* ]]; then
-      TEST_MODE="long"
-    elif [[ "${TEST_CONFIG}" == *all* ]]; then
-      TEST_MODE="all"
-    fi
-
-    test_operator_benchmark cpu ${TEST_MODE}
-
-  fi
 elif [[ "${TEST_CONFIG}" == *inductor_distributed* ]]; then
   test_inductor_distributed
 elif [[ "${TEST_CONFIG}" == *inductor-halide* ]]; then
@@ -1606,16 +1496,6 @@ elif [[ "${TEST_CONFIG}" == *timm* ]]; then
   install_torchvision
   id=$((SHARD_NUMBER-1))
   test_dynamo_benchmark timm_models "$id"
-elif [[ "${TEST_CONFIG}" == cachebench ]]; then
-  install_torchaudio cuda
-  install_torchvision
-  checkout_install_torchbench nanogpt BERT_pytorch resnet50 hf_T5 llama moco
-  PYTHONPATH=$(pwd)/torchbench test_cachebench
-elif [[ "${TEST_CONFIG}" == verify_cachebench ]]; then
-  install_torchaudio cpu
-  install_torchvision
-  checkout_install_torchbench nanogpt
-  PYTHONPATH=$(pwd)/torchbench test_verify_cachebench
 elif [[ "${TEST_CONFIG}" == *torchbench* ]]; then
   if [[ "${TEST_CONFIG}" == *cpu* ]]; then
     install_torchaudio cpu
@@ -1652,7 +1532,6 @@ elif [[ "${TEST_CONFIG}" == *inductor_cpp_wrapper* ]]; then
   install_torchvision
   checkout_install_torchbench hf_T5 llama moco
   PYTHONPATH=$(pwd)/torchbench test_inductor_cpp_wrapper_shard "$SHARD_NUMBER"
-  test_inductor_aoti
 elif [[ "${TEST_CONFIG}" == *inductor* ]]; then
   install_torchvision
   test_inductor_shard "${SHARD_NUMBER}"
@@ -1672,7 +1551,6 @@ elif [[ "${BUILD_ENVIRONMENT}" == *rocm* && -n "$TESTS_TO_INCLUDE" ]]; then
   test_python_shard "$SHARD_NUMBER"
   test_aten
 elif [[ "${SHARD_NUMBER}" == 1 && $NUM_TEST_SHARDS -gt 1 ]]; then
-  test_lazy_tensor_meta_reference_disabled
   test_without_numpy
   install_torchvision
   test_python_shard 1

.ci/pytorch/test_example_code/cnn_smoke_win_arm64.py

@@ -1,41 +0,0 @@
-r"""
-It's used to check basic rnn features with cpu-only.
-For example, it would throw exception if some components are missing
-"""
-
-import torch
-import torch.nn as nn
-import torch.nn.functional as F
-import torch.optim as optim
-
-
-class SimpleCNN(nn.Module):
-    def __init__(self):
-        super().__init__()
-        self.conv = nn.Conv2d(1, 1, 3)
-        self.pool = nn.MaxPool2d(2, 2)
-
-    def forward(self, inputs):
-        output = self.pool(F.relu(self.conv(inputs)))
-        output = output.view(1)
-        return output
-
-
-try:
-    # Mock one infer
-    net = SimpleCNN()
-    net_inputs = torch.rand((1, 1, 5, 5))
-    outputs = net(net_inputs)
-    print(outputs)
-
-    criterion = nn.MSELoss()
-    optimizer = optim.SGD(net.parameters(), lr=0.001, momentum=0.1)
-
-    # Mock one step training
-    label = torch.full((1,), 1.0, dtype=torch.float)
-    loss = criterion(outputs, label)
-    loss.backward()
-    optimizer.step()
-
-except Exception as e:
-    print(f"An error occurred: {e}")

.ci/pytorch/test_example_code/rnn_smoke_win_arm64.py

@@ -1,13 +0,0 @@
-r"""
-It's used to check basic rnn features with cpu-only.
-For example, it would throw exception if missing some components are missing
-"""
-
-import torch
-import torch.nn as nn
-
-
-rnn = nn.RNN(10, 20, 2)
-inputs = torch.randn(5, 3, 10)
-h0 = torch.randn(2, 3, 20)
-output, hn = rnn(inputs, h0)

.ci/pytorch/win-test.sh

@@ -18,9 +18,6 @@ export PYTORCH_FINAL_PACKAGE_DIR="${PYTORCH_FINAL_PACKAGE_DIR:-/c/w/build-result
 PYTORCH_FINAL_PACKAGE_DIR_WIN=$(cygpath -w "${PYTORCH_FINAL_PACKAGE_DIR}")
 export PYTORCH_FINAL_PACKAGE_DIR_WIN
 
-# enable debug asserts in serialization
-export TORCH_SERIALIZATION_DEBUG=1
-
 mkdir -p "$TMP_DIR"/build/torch
 
 export SCRIPT_HELPERS_DIR=$SCRIPT_PARENT_DIR/win-test-helpers

.ci/pytorch/windows/arm64/bootstrap_apl.bat

@@ -1,31 +0,0 @@
-@echo off
-
-echo Dependency ARM Performance Libraries (APL) installation started.
-
-:: Pre-check for downloads and dependencies folders
-if not exist "%DOWNLOADS_DIR%" mkdir %DOWNLOADS_DIR%
-if not exist "%DEPENDENCIES_DIR%" mkdir %DEPENDENCIES_DIR%
-
-:: Set download URL for the ARM Performance Libraries (APL)
-set DOWNLOAD_URL="https://developer.arm.com/-/cdn-downloads/permalink/Arm-Performance-Libraries/Version_24.10/arm-performance-libraries_24.10_Windows.msi"
-set INSTALLER_FILE=%DOWNLOADS_DIR%\arm-performance-libraries.msi
-
-:: Download installer
-echo Downloading ARM Performance Libraries (APL)...
-curl -L -o "%INSTALLER_FILE%" %DOWNLOAD_URL%
-
-:: Install ARM Performance Libraries (APL)
-echo Installing ARM Performance Libraries (APL)...
-msiexec /i "%INSTALLER_FILE%" /qn /norestart ACCEPT_EULA=1 INSTALLFOLDER="%DEPENDENCIES_DIR%"
-
-:: Check if installation was successful
-if %errorlevel% neq 0 (
-    echo "Failed to install ARM Performance Libraries (APL) components. (exitcode = %errorlevel%)"
-    exit /b 1
-)
-
-:: Add to environment
-echo ARMPL_DIR=%DEPENDENCIES_DIR%\armpl_24.10\>> %GITHUB_ENV%
-echo %DEPENDENCIES_DIR%\armpl_24.10\bin\>> %GITHUB_PATH%
-
-echo Dependency ARM Performance Libraries (APL) installation finished.

.ci/pytorch/windows/arm64/bootstrap_buildtools.bat

@@ -1,41 +0,0 @@
-@echo off
-
-echo Dependency MSVC Build Tools with C++ with ARM64/ARM64EC components installation started.
-
-:: Pre-check for downloads and dependencies folders
-if not exist "%DOWNLOADS_DIR%" mkdir "%DOWNLOADS_DIR%"
-if not exist "%DEPENDENCIES_DIR%" mkdir "%DEPENDENCIES_DIR%"
-
-:: Set download URL for the Visual Studio Installer
-set DOWNLOAD_URL=https://aka.ms/vs/17/release/vs_BuildTools.exe
-set INSTALLER_FILE=%DOWNLOADS_DIR%\vs_BuildTools.exe
-
-:: Download installer
-echo Downloading Visual Studio Build Tools with C++ installer...
-curl -L -o "%INSTALLER_FILE%" %DOWNLOAD_URL%
-
-:: Install the Visual Studio Build Tools with C++ components
-echo Installing Visual Studio Build Tools with C++ components...
-echo Installing MSVC %MSVC_VERSION%
-"%INSTALLER_FILE%" --norestart --quiet --wait --installPath "%DEPENDENCIES_DIR%\VSBuildTools" ^
-    --add Microsoft.VisualStudio.Workload.VCTools ^
-    --add Microsoft.VisualStudio.Component.Windows10SDK ^
-    --add Microsoft.VisualStudio.Component.Windows11SDK.22621 ^
-    --add Microsoft.VisualStudio.Component.VC.ASAN ^
-    --add Microsoft.VisualStudio.Component.VC.CMake.Project ^
-    --add Microsoft.VisualStudio.Component.VC.CoreBuildTools ^
-    --add Microsoft.VisualStudio.Component.VC.CoreIde ^
-    --add Microsoft.VisualStudio.Component.VC.Redist.14.Latest ^
-    --add Microsoft.VisualStudio.Component.VC.Tools.ARM64EC ^
-    --add Microsoft.VisualStudio.Component.VC.Tools.ARM64 ^
-    --add Microsoft.VisualStudio.Component.VC.Tools.x86.x64
-
-echo exitcode = %errorlevel%
-
-:: Check if installation was successful
-if %errorlevel% neq 0 (
-    echo Failed to install Visual Studio Build Tools with C++ components.
-    exit /b 1
-)
-
-echo Dependency Visual Studio Build Tools with C++ installation finished.

.ci/pytorch/windows/arm64/bootstrap_git.bat

@@ -1,37 +0,0 @@
-:: we need to install newer version of Git manually as "-submodules" function is not supported in the default version of runner.
-
-@echo off
-
-echo Dependency Git installation started.
-
-:: Pre-check for downloads and dependencies folders
-if not exist "%DOWNLOADS_DIR%" mkdir %DOWNLOADS_DIR%
-if not exist "%DEPENDENCIES_DIR%" mkdir %DEPENDENCIES_DIR%
-
-:: Set download URL for the Git
-set DOWNLOAD_URL="https://github.com/git-for-windows/git/releases/download/v2.46.0.windows.1/Git-2.46.0-64-bit.exe"
-set INSTALLER_FILE=%DOWNLOADS_DIR%\Git-2.46.0-64-bit.exe
-
-:: Download installer
-echo Downloading Git...
-curl -L -o "%INSTALLER_FILE%" %DOWNLOAD_URL%
-
-:: Install Git
-echo Installing Git...
-"%INSTALLER_FILE%" /VERYSILENT /DIR="%DEPENDENCIES_DIR%\git"
-
-dir %DEPENDENCIES_DIR%\git
-
-:: Check if installation was successful
-if %errorlevel% neq 0 (
-    echo "Failed to install Git. (exitcode = %errorlevel%)"
-    exit /b 1
-)
-
-:: Enable long paths
-call "%DEPENDENCIES_DIR%\git\cmd\git.exe" config --system core.longpaths true
-
-:: Add to PATH
-echo %DEPENDENCIES_DIR%\git\cmd\;%DEPENDENCIES_DIR%\git\bin\>> %GITHUB_PATH%
-
-echo Dependency Git installation finished.

.ci/pytorch/windows/arm64/bootstrap_libuv.bat

@@ -1,33 +0,0 @@
-@echo off
-
-echo Dependency libuv installation started.
-
-:: Pre-check for downloads and dependencies folders
-if not exist "%DOWNLOADS_DIR%" mkdir %DOWNLOADS_DIR%
-if not exist "%DEPENDENCIES_DIR%" mkdir %DEPENDENCIES_DIR%
-
-:: activate visual studio
-call "%DEPENDENCIES_DIR%\VSBuildTools\VC\Auxiliary\Build\vcvarsall.bat" arm64
-where cl.exe
-
-cd %DEPENDENCIES_DIR%
-git clone https://github.com/libuv/libuv.git -b v1.39.0
-
-echo Configuring libuv...
-mkdir libuv\build
-cd libuv\build
-cmake .. -DBUILD_TESTING=OFF
-
-echo Building libuv...
-cmake --build . --config Release
-
-echo Installing libuv...
-cmake --install . --prefix ../install
-
-:: Check if installation was successful
-if %errorlevel% neq 0 (
-    echo "Failed to install libuv. (exitcode = %errorlevel%)"
-    exit /b 1
-)
-
-echo Dependency libuv installation finished.

.ci/pytorch/windows/arm64/bootstrap_openblas.bat

@@ -1,46 +0,0 @@
-@echo off
-
-echo Dependency OpenBLAS installation started.
-
-:: Pre-check for downloads and dependencies folders
-if not exist "%DOWNLOADS_DIR%" mkdir %DOWNLOADS_DIR%
-if not exist "%DEPENDENCIES_DIR%" mkdir %DEPENDENCIES_DIR%
-
-:: activate visual studio
-call "%DEPENDENCIES_DIR%\VSBuildTools\VC\Auxiliary\Build\vcvarsall.bat" arm64
-where cl.exe
-
-:: Clone OpenBLAS
-cd %DEPENDENCIES_DIR%
-git clone https://github.com/OpenMathLib/OpenBLAS.git -b v0.3.29
-
-echo Configuring OpenBLAS...
-mkdir OpenBLAS\build
-cd OpenBLAS\build
-cmake .. -G Ninja ^
-  -DBUILD_TESTING=0 ^
-  -DBUILD_BENCHMARKS=0 ^
-  -DC_LAPACK=1 ^
-  -DNOFORTRAN=1 ^
-  -DDYNAMIC_ARCH=0 ^
-  -DARCH=arm64 ^
-  -DBINARY=64 ^
-  -DTARGET=GENERIC ^
-  -DUSE_OPENMP=1 ^
-  -DCMAKE_SYSTEM_PROCESSOR=ARM64 ^
-  -DCMAKE_SYSTEM_NAME=Windows ^
-  -DCMAKE_BUILD_TYPE=Release
-
-echo Building OpenBLAS...
-cmake --build . --config Release
-
-echo Installing OpenBLAS...
-cmake --install . --prefix ../install
-
-:: Check if installation was successful
-if %errorlevel% neq 0 (
-    echo "Failed to install OpenBLAS. (exitcode = %errorlevel%)"
-    exit /b 1
-)
-
-echo Dependency OpenBLAS installation finished.

.ci/pytorch/windows/arm64/bootstrap_python.bat

@@ -1,44 +0,0 @@
-@echo off
-
-echo Dependency Python installation started.
-
-:: Pre-check for downloads and dependencies folders
-if not exist "%DOWNLOADS_DIR%" mkdir %DOWNLOADS_DIR%
-if not exist "%DEPENDENCIES_DIR%" mkdir %DEPENDENCIES_DIR%
-
-if "%DESIRED_PYTHON%" == "3.13" (
-    echo Python version is set to 3.13
-    set DOWNLOAD_URL=https://www.python.org/ftp/python/3.13.2/python-3.13.2-arm64.exe
-) else if "%DESIRED_PYTHON%" == "3.12" (
-    echo Python version is set to 3.12
-    set DOWNLOAD_URL=https://www.python.org/ftp/python/3.12.7/python-3.12.7-arm64.exe
-) else if "%DESIRED_PYTHON%" == "3.11" (
-    echo Python version is set to 3.11
-    set DOWNLOAD_URL=https://www.python.org/ftp/python/3.11.9/python-3.11.9-arm64.exe
-) else (
-    echo DESIRED_PYTHON not defined, Python version is set to 3.12
-    set DOWNLOAD_URL=https://www.python.org/ftp/python/3.12.7/python-3.12.7-arm64.exe
-)
-
-set INSTALLER_FILE=%DOWNLOADS_DIR%\python-installer.exe
-
-:: Download installer
-echo Downloading Python...
-curl -L -o "%INSTALLER_FILE%" "%DOWNLOAD_URL%"
-
-:: Install Python
-echo Installing Python...
-"%INSTALLER_FILE%" /quiet Include_debug=1 TargetDir="%DEPENDENCIES_DIR%\Python"
-
-:: Check if installation was successful
-if %errorlevel% neq 0 (
-    echo "Failed to install Python. (exitcode = %errorlevel%)"
-    exit /b 1
-)
-
-:: Add to PATH
-echo %DEPENDENCIES_DIR%\Python\>> %GITHUB_PATH%
-echo %DEPENDENCIES_DIR%\Python\scripts\>> %GITHUB_PATH%
-echo %DEPENDENCIES_DIR%\Python\libs\>> %GITHUB_PATH%
-
-echo Dependency Python installation finished.

.ci/pytorch/windows/arm64/bootstrap_rust.bat

@@ -1,33 +0,0 @@
-@echo off
-
-echo Dependency Rust installation started.
-
-:: Pre-check for downloads and dependencies folders
-if not exist "%DOWNLOADS_DIR%" mkdir %DOWNLOADS_DIR%
-if not exist "%DEPENDENCIES_DIR%" mkdir %DEPENDENCIES_DIR%
-
-set DOWNLOAD_URL="https://static.rust-lang.org/rustup/dist/x86_64-pc-windows-msvc/rustup-init.exe"
-set INSTALLER_FILE=%DOWNLOADS_DIR%\rustup-init.exe
-set RUSTUP_HOME=%DEPENDENCIES_DIR%\rust
-set CARGO_HOME=%DEPENDENCIES_DIR%\cargo
-
-:: Download installer
-echo Downloading Rust...
-curl -L -o "%INSTALLER_FILE%" %DOWNLOAD_URL%
-
-:: Install APL
-echo Installing Rust...
-"%INSTALLER_FILE%" -q -y --default-host aarch64-pc-windows-msvc --default-toolchain stable --profile default
-
-:: Check if installation was successful
-if %errorlevel% neq 0 (
-    echo "Failed to install Rust. (exitcode = %errorlevel%)"
-    exit /b 1
-)
-
-:: Add to PATH
-echo %DEPENDENCIES_DIR%\cargo\bin\>> %GITHUB_PATH%
-echo RUSTUP_HOME=%DEPENDENCIES_DIR%\rust>> %GITHUB_ENV%
-echo CARGO_HOME=%DEPENDENCIES_DIR%\cargo>> %GITHUB_ENV%
-
-echo Dependency Rust installation finished.

.ci/pytorch/windows/arm64/bootstrap_sccache.bat

@@ -1,33 +0,0 @@
-@echo off
-
-echo Dependency sccache installation started.
-
-:: Pre-check for downloads and dependencies folders
-if not exist "%DOWNLOADS_DIR%" mkdir %DOWNLOADS_DIR%
-if not exist "%DEPENDENCIES_DIR%" mkdir %DEPENDENCIES_DIR%
-
-:: Set download URL for the sccache
-set DOWNLOAD_URL="https://github.com/mozilla/sccache/releases/download/v0.8.1/sccache-v0.8.1-x86_64-pc-windows-msvc.zip"
-set INSTALLER_FILE=%DOWNLOADS_DIR%\sccache.zip
-
-:: Download installer
-echo Downloading sccache.zip...
-curl -L -o "%INSTALLER_FILE%" %DOWNLOAD_URL%
-
-:: Install sccache
-echo Extracting sccache.zip...
-tar -xf "%INSTALLER_FILE%" -C %DEPENDENCIES_DIR%
-cd %DEPENDENCIES_DIR%
-ren sccache-v0.8.1-x86_64-pc-windows-msvc sccache
-cd ..
-
-:: Check if installation was successful
-if %errorlevel% neq 0 (
-    echo "Failed to install sccache. (exitcode = %errorlevel%)"
-    exit /b 1
-)
-
-:: Add to PATH
-echo %DEPENDENCIES_DIR%\sccache\>> %GITHUB_PATH%
-
-echo Dependency sccache installation finished.

.ci/pytorch/windows/arm64/bootstrap_tests.bat

@@ -1,22 +0,0 @@
-:: change to source directory
-cd %PYTORCH_ROOT%
-
-:: activate visual studio
-call "%DEPENDENCIES_DIR%\VSBuildTools\VC\Auxiliary\Build\vcvarsall.bat" arm64
-where cl.exe
-
-:: create virtual environment
-python -m venv .venv
-echo * > .venv\.gitignore
-call .\.venv\Scripts\activate
-where python
-
-:: install dependencies
-python -m pip install --upgrade pip
-pip install -r requirements.txt
-pip install pytest numpy protobuf expecttest hypothesis
-
-:: find file name for pytorch wheel
-for /f "delims=" %%f in ('dir /b "%PYTORCH_FINAL_PACKAGE_DIR%" ^| findstr "torch-"') do set "TORCH_WHEEL_FILENAME=%PYTORCH_FINAL_PACKAGE_DIR%\%%f"
-
-pip install %TORCH_WHEEL_FILENAME%

.ci/pytorch/windows/arm64/build_libtorch.bat

@@ -1,101 +0,0 @@
-@echo on
-
-:: environment variables
-set CMAKE_BUILD_TYPE=%BUILD_TYPE%
-set CMAKE_C_COMPILER_LAUNCHER=sccache
-set CMAKE_CXX_COMPILER_LAUNCHER=sccache
-set libuv_ROOT=%DEPENDENCIES_DIR%\libuv\install
-set MSSdk=1
-if defined PYTORCH_BUILD_VERSION (
-  set PYTORCH_BUILD_VERSION=%PYTORCH_BUILD_VERSION%
-  set PYTORCH_BUILD_NUMBER=1
-)
-
-:: Set BLAS type
-if %ENABLE_APL% == 1 (
-    set BLAS=APL
-    set USE_LAPACK=1
-) else if %ENABLE_OPENBLAS% == 1 (
-    set BLAS=OpenBLAS
-    set OpenBLAS_HOME=%DEPENDENCIES_DIR%\OpenBLAS\install
-)
-
-:: activate visual studio
-call "%DEPENDENCIES_DIR%\VSBuildTools\VC\Auxiliary\Build\vcvarsall.bat" arm64
-where cl.exe
-
-:: change to source directory
-cd %PYTORCH_ROOT%
-
-:: copy libuv.dll
-copy %libuv_ROOT%\lib\Release\uv.dll torch\lib\uv.dll
-
-:: create virtual environment
-python -m venv .venv
-echo * > .venv\.gitignore
-call .\.venv\Scripts\activate
-where python
-
-:: python install dependencies
-python -m pip install --upgrade pip
-pip install -r requirements.txt
-:: DISTUTILS_USE_SDK should be set after psutil dependency
-set DISTUTILS_USE_SDK=1
-
-:: start sccache server and reset sccache stats
-sccache --start-server
-sccache --zero-stats
-sccache --show-stats
- 
-:: Prepare the environment
-mkdir libtorch
-mkdir libtorch\bin
-mkdir libtorch\cmake
-mkdir libtorch\include
-mkdir libtorch\lib
-mkdir libtorch\share
-mkdir libtorch\test
-
-:: Call LibTorch build script
-python ./tools/build_libtorch.py
-
-:: Check if there is an error
-IF ERRORLEVEL 1 exit /b 1
-IF NOT ERRORLEVEL 0 exit /b 1
- 
-:: Move the files to the correct location
-move /Y torch\bin\*.* libtorch\bin\
-move /Y torch\cmake\*.* libtorch\cmake\
-robocopy /move /e torch\include\ libtorch\include\
-move /Y torch\lib\*.* libtorch\lib\
-robocopy /move /e torch\share\ libtorch\share\
-move /Y torch\test\*.* libtorch\test\
-move /Y libtorch\bin\*.dll libtorch\lib\
-
-:: Set version
-echo %PYTORCH_BUILD_VERSION% > libtorch\build-version
-git rev-parse HEAD > libtorch\build-hash
-
-:: Set LIBTORCH_PREFIX
-IF "%DEBUG%" == "" (
-    set LIBTORCH_PREFIX=libtorch-win-arm64-shared-with-deps
-) ELSE (
-    set LIBTORCH_PREFIX=libtorch-win-arm64-shared-with-deps-debug
-)
-
-:: Create output
-C:\Windows\System32\tar.exe -cvaf %LIBTORCH_PREFIX%-%PYTORCH_BUILD_VERSION%.zip -C libtorch *
-
-:: Copy output to target directory
-if not exist ..\output mkdir ..\output
-copy /Y "%LIBTORCH_PREFIX%-%PYTORCH_BUILD_VERSION%.zip" "%PYTORCH_FINAL_PACKAGE_DIR%\"
-copy /Y "%LIBTORCH_PREFIX%-%PYTORCH_BUILD_VERSION%.zip" "%PYTORCH_FINAL_PACKAGE_DIR%\%LIBTORCH_PREFIX%-latest.zip"
-
-:: Cleanup raw data to save space
-rmdir /s /q libtorch
-
-:: Check if installation was successful
-if %errorlevel% neq 0 (
-    echo "Failed on build_libtorch. (exitcode = %errorlevel%)"
-    exit /b 1
-)

.ci/pytorch/windows/arm64/build_pytorch.bat

@@ -1,60 +0,0 @@
-@echo on
-
-:: environment variables
-set CMAKE_BUILD_TYPE=%BUILD_TYPE%
-set CMAKE_C_COMPILER_LAUNCHER=sccache
-set CMAKE_CXX_COMPILER_LAUNCHER=sccache
-set libuv_ROOT=%DEPENDENCIES_DIR%\libuv\install
-set MSSdk=1
-if defined PYTORCH_BUILD_VERSION (
-  set PYTORCH_BUILD_VERSION=%PYTORCH_BUILD_VERSION%
-  set PYTORCH_BUILD_NUMBER=1
-)
-
-:: Set BLAS type
-if %ENABLE_APL% == 1 (
-    set BLAS=APL
-    set USE_LAPACK=1
-) else if %ENABLE_OPENBLAS% == 1 (
-    set BLAS=OpenBLAS
-    set OpenBLAS_HOME=%DEPENDENCIES_DIR%\OpenBLAS\install
-)
-
-:: activate visual studio
-call "%DEPENDENCIES_DIR%\VSBuildTools\VC\Auxiliary\Build\vcvarsall.bat" arm64
-where cl.exe
-
-:: change to source directory
-cd %PYTORCH_ROOT%
-
-:: copy libuv.dll
-copy %libuv_ROOT%\lib\Release\uv.dll torch\lib\uv.dll
-
-:: create virtual environment
-python -m venv .venv
-echo * > .venv\.gitignore
-call .\.venv\Scripts\activate
-where python
-
-:: python install dependencies
-python -m pip install --upgrade pip
-pip install -r requirements.txt
-:: DISTUTILS_USE_SDK should be set after psutil dependency
-set DISTUTILS_USE_SDK=1
-
-:: start sccache server and reset sccache stats
-sccache --start-server
-sccache --zero-stats
-sccache --show-stats
-
-:: Call PyTorch build script
-python setup.py bdist_wheel -d "%PYTORCH_FINAL_PACKAGE_DIR%"
-
-:: show sccache stats
-sccache --show-stats
-
-:: Check if installation was successful
-if %errorlevel% neq 0 (
-    echo "Failed on build_pytorch. (exitcode = %errorlevel%)"
-    exit /b 1
-)

.ci/pytorch/windows/arm64/smoke_test.bat

@@ -1,49 +0,0 @@
-@echo off
-setlocal
-
-if "%PACKAGE_TYPE%" == "wheel" goto wheel
-if "%PACKAGE_TYPE%" == "libtorch" goto libtorch
-
-echo "unknown package type"
-exit /b 1
-
-:wheel
-call %PYTORCH_ROOT%\.ci\pytorch\windows\arm64\bootstrap_tests.bat
-
-echo Running python rnn_smoke.py...
-python %PYTORCH_ROOT%\.ci\pytorch\test_example_code\rnn_smoke_win_arm64.py
-if errorlevel 1 exit /b 1
-
-echo Checking that basic CNN works...
-python %PYTORCH_ROOT%\.ci\pytorch\test_example_code\cnn_smoke_win_arm64.py
-if errorlevel 1 exit /b 1
-
-goto end
-
-:libtorch
-echo "install and test libtorch"
-
-if not exist tmp mkdir tmp
-
-for /F "delims=" %%i in ('where /R "%PYTORCH_FINAL_PACKAGE_DIR:/=\%" *-latest.zip') do C:\Windows\System32\tar.exe -xf "%%i" -C tmp
-if ERRORLEVEL 1 exit /b 1
-
-pushd tmp
-
-set VC_VERSION_LOWER=14
-set VC_VERSION_UPPER=36
-
-call "%DEPENDENCIES_DIR%\VSBuildTools\VC\Auxiliary\Build\vcvarsall.bat" arm64
-
-set install_root=%CD%
-set INCLUDE=%INCLUDE%;%install_root%\include;%install_root%\include\torch\csrc\api\include
-set LIB=%LIB%;%install_root%\lib
-set PATH=%PATH%;%install_root%\lib
-
-cl %PYTORCH_ROOT%\.ci\pytorch\test_example_code\simple-torch-test.cpp c10.lib torch_cpu.lib /EHsc /std:c++17
-if ERRORLEVEL 1 exit /b 1
-
-.\simple-torch-test.exe
-if ERRORLEVEL 1 exit /b 1
-
-:end

.ci/pytorch/windows/condaenv.bat

@@ -9,13 +9,12 @@ FOR %%v IN (%DESIRED_PYTHON%) DO (
     set PYTHON_VERSION_STR=%%v
     set PYTHON_VERSION_STR=!PYTHON_VERSION_STR:.=!
     conda remove -n py!PYTHON_VERSION_STR! --all -y || rmdir %CONDA_HOME%\envs\py!PYTHON_VERSION_STR! /s
-    if "%%v" == "3.9" call conda create -n py!PYTHON_VERSION_STR! -y numpy=2.0.1 boto3 cmake ninja typing_extensions setuptools=72.1.0 python=%%v
-    if "%%v" == "3.10" call conda create -n py!PYTHON_VERSION_STR! -y -c=conda-forge numpy=2.0.1  boto3 cmake ninja typing_extensions setuptools=72.1.0 python=%%v
-    if "%%v" == "3.11" call conda create -n py!PYTHON_VERSION_STR! -y -c=conda-forge numpy=2.0.1  boto3 cmake ninja typing_extensions setuptools=72.1.0 python=%%v
-    if "%%v" == "3.12" call conda create -n py!PYTHON_VERSION_STR! -y -c=conda-forge numpy=2.0.1  boto3 cmake ninja typing_extensions setuptools=72.1.0 python=%%v
-    if "%%v" == "3.13" call conda create -n py!PYTHON_VERSION_STR! -y -c=conda-forge numpy=2.1.2  boto3 cmake ninja typing_extensions setuptools=72.1.0 python=%%v
-    if "%%v" == "3.13t" call conda create -n py!PYTHON_VERSION_STR! -y -c=conda-forge numpy=2.1.2 boto3 cmake ninja typing_extensions setuptools=72.1.0 python-freethreading python=3.13
-    call conda run -n py!PYTHON_VERSION_STR! pip install pyyaml
+    if "%%v" == "3.8" call conda create -n py!PYTHON_VERSION_STR! -y -q numpy=1.11 pyyaml boto3 cmake ninja typing_extensions setuptools=72.1.0 python=%%v
+    if "%%v" == "3.9" call conda create -n py!PYTHON_VERSION_STR! -y -q numpy=2.0.1 pyyaml boto3 cmake ninja typing_extensions setuptools=72.1.0 python=%%v
+    if "%%v" == "3.10" call conda create -n py!PYTHON_VERSION_STR! -y -q -c=conda-forge numpy=2.0.1 pyyaml boto3 cmake ninja typing_extensions setuptools=72.1.0 python=%%v
+    if "%%v" == "3.11" call conda create -n py!PYTHON_VERSION_STR! -y -q -c=conda-forge numpy=2.0.1 pyyaml boto3 cmake ninja typing_extensions setuptools=72.1.0 python=%%v
+    if "%%v" == "3.12" call conda create -n py!PYTHON_VERSION_STR! -y -q -c=conda-forge numpy=2.0.1 pyyaml boto3 cmake ninja typing_extensions setuptools=72.1.0 python=%%v
+    if "%%v" == "3.13" call conda create -n py!PYTHON_VERSION_STR! -y -q -c=conda-forge numpy=2.1.2 pyyaml boto3 cmake ninja typing_extensions setuptools=72.1.0 python=%%v
     call conda run -n py!PYTHON_VERSION_STR! pip install mkl-include
     call conda run -n py!PYTHON_VERSION_STR! pip install mkl-static
 )

.ci/pytorch/windows/cuda128.bat

@@ -1,59 +0,0 @@
-@echo off
-
-set MODULE_NAME=pytorch
-
-IF NOT EXIST "setup.py" IF NOT EXIST "%MODULE_NAME%" (
-    call internal\clone.bat
-    cd %~dp0
-) ELSE (
-    call internal\clean.bat
-)
-IF ERRORLEVEL 1 goto :eof
-
-call internal\check_deps.bat
-IF ERRORLEVEL 1 goto :eof
-
-REM Check for optional components
-
-set USE_CUDA=
-set CMAKE_GENERATOR=Visual Studio 15 2017 Win64
-
-IF "%NVTOOLSEXT_PATH%"=="" (
-    IF EXIST "C:\Program Files\NVIDIA Corporation\NvToolsExt\lib\x64\nvToolsExt64_1.lib"  (
-        set NVTOOLSEXT_PATH=C:\Program Files\NVIDIA Corporation\NvToolsExt
-    ) ELSE (
-        echo NVTX ^(Visual Studio Extension ^for CUDA^) ^not installed, failing
-        exit /b 1
-    )
-)
-
-IF "%CUDA_PATH_V128%"=="" (
-    IF EXIST "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\bin\nvcc.exe" (
-        set "CUDA_PATH_V128=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8"
-    ) ELSE (
-        echo CUDA 12.8 not found, failing
-        exit /b 1
-    )
-)
-
-IF "%BUILD_VISION%" == "" (
-    set TORCH_CUDA_ARCH_LIST=5.0;6.0;6.1;7.0;7.5;8.0;8.6;9.0;10.0;12.0
-    set TORCH_NVCC_FLAGS=-Xfatbin -compress-all
-) ELSE (
-    set NVCC_FLAGS=-D__CUDA_NO_HALF_OPERATORS__ --expt-relaxed-constexpr -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=compute_80 -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_90,code=compute_90 -gencode=arch=compute_100,code=compute_100 -gencode=arch=compute_120,code=compute_120
-)
-
-set "CUDA_PATH=%CUDA_PATH_V128%"
-set "PATH=%CUDA_PATH_V128%\bin;%PATH%"
-
-:optcheck
-
-call internal\check_opts.bat
-IF ERRORLEVEL 1 goto :eof
-
-if exist "%NIGHTLIES_PYTORCH_ROOT%" cd %NIGHTLIES_PYTORCH_ROOT%\..
-call  %~dp0\internal\copy.bat
-IF ERRORLEVEL 1 goto :eof
-
-call  %~dp0\internal\setup.bat
-IF ERRORLEVEL 1 goto :eof

.ci/pytorch/windows/internal/cuda_install.bat

@@ -9,8 +9,7 @@ if "%CUDA_VERSION%" == "xpu" (
     exit /b 0
 )
 
-set SRC_DIR=%~dp0\..
-
+set SRC_DIR=%NIGHTLIES_PYTORCH_ROOT%
 if not exist "%SRC_DIR%\temp_build" mkdir "%SRC_DIR%\temp_build"
 
 set /a CUDA_VER=%CUDA_VERSION%
@@ -24,9 +23,9 @@ set CUDNN_LIB_FOLDER="lib\x64"
 if exist "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v%CUDA_VERSION_STR%\bin\nvcc.exe" goto set_cuda_env_vars
 
 if %CUDA_VER% EQU 118 goto cuda118
+if %CUDA_VER% EQU 121 goto cuda121
 if %CUDA_VER% EQU 124 goto cuda124
 if %CUDA_VER% EQU 126 goto cuda126
-if %CUDA_VER% EQU 128 goto cuda128
 
 echo CUDA %CUDA_VERSION_STR% is not supported
 exit /b 1
@@ -112,33 +111,6 @@ xcopy /Y "%SRC_DIR%\temp_build\zlib\dll_x64\*.dll" "C:\Windows\System32"
 
 goto cuda_common
 
-:cuda128
-
-set CUDA_INSTALL_EXE=cuda_12.8.0_571.96_windows.exe
-if not exist "%SRC_DIR%\temp_build\%CUDA_INSTALL_EXE%" (
-    curl -k -L "https://ossci-windows.s3.amazonaws.com/%CUDA_INSTALL_EXE%" --output "%SRC_DIR%\temp_build\%CUDA_INSTALL_EXE%"
-    if errorlevel 1 exit /b 1
-    set "CUDA_SETUP_FILE=%SRC_DIR%\temp_build\%CUDA_INSTALL_EXE%"
-    set "ARGS=cuda_profiler_api_12.8 thrust_12.8 nvcc_12.8 cuobjdump_12.8 nvprune_12.8 nvprof_12.8 cupti_12.8 cublas_12.8 cublas_dev_12.8 cudart_12.8 cufft_12.8 cufft_dev_12.8 curand_12.8 curand_dev_12.8 cusolver_12.8 cusolver_dev_12.8 cusparse_12.8 cusparse_dev_12.8 npp_12.8 npp_dev_12.8 nvrtc_12.8 nvrtc_dev_12.8 nvml_dev_12.8 nvjitlink_12.8 nvtx_12.8"
-)
-
-set CUDNN_FOLDER=cudnn-windows-x86_64-9.7.0.66_cuda12-archive
-set CUDNN_LIB_FOLDER="lib"
-set "CUDNN_INSTALL_ZIP=%CUDNN_FOLDER%.zip"
-if not exist "%SRC_DIR%\temp_build\%CUDNN_INSTALL_ZIP%" (
-    curl -k -L "http://s3.amazonaws.com/ossci-windows/%CUDNN_INSTALL_ZIP%" --output "%SRC_DIR%\temp_build\%CUDNN_INSTALL_ZIP%"
-    if errorlevel 1 exit /b 1
-    set "CUDNN_SETUP_FILE=%SRC_DIR%\temp_build\%CUDNN_INSTALL_ZIP%"
-)
-
-@REM cuDNN 8.3+ required zlib to be installed on the path
-echo Installing ZLIB dlls
-curl -k -L "http://s3.amazonaws.com/ossci-windows/zlib123dllx64.zip" --output "%SRC_DIR%\temp_build\zlib123dllx64.zip"
-7z x "%SRC_DIR%\temp_build\zlib123dllx64.zip" -o"%SRC_DIR%\temp_build\zlib"
-xcopy /Y "%SRC_DIR%\temp_build\zlib\dll_x64\*.dll" "C:\Windows\System32"
-
-goto cuda_common
-
 :cuda_common
 :: NOTE: We only install CUDA if we don't have it installed already.
 :: With GHA runners these should be pre-installed as part of our AMI process

.ci/pytorch/windows/internal/smoke_test.bat

@@ -27,6 +27,7 @@ for /F "delims=" %%i in ('wmic path win32_VideoController get name') do (
 endlocal & set NVIDIA_GPU_EXISTS=%NVIDIA_GPU_EXISTS%
 
 if "%PACKAGE_TYPE%" == "wheel" goto wheel
+if "%PACKAGE_TYPE%" == "conda" goto conda
 if "%PACKAGE_TYPE%" == "libtorch" goto libtorch
 
 echo "unknown package type"
@@ -36,23 +37,16 @@ exit /b 1
 echo "install wheel package"
 
 set PYTHON_INSTALLER_URL=
-if "%DESIRED_PYTHON%" == "3.13t" set "PYTHON_INSTALLER_URL=https://www.python.org/ftp/python/3.13.0/python-3.13.0-amd64.exe"
 if "%DESIRED_PYTHON%" == "3.13" set "PYTHON_INSTALLER_URL=https://www.python.org/ftp/python/3.13.0/python-3.13.0-amd64.exe"
 if "%DESIRED_PYTHON%" == "3.12" set "PYTHON_INSTALLER_URL=https://www.python.org/ftp/python/3.12.0/python-3.12.0-amd64.exe"
 if "%DESIRED_PYTHON%" == "3.11" set "PYTHON_INSTALLER_URL=https://www.python.org/ftp/python/3.11.0/python-3.11.0-amd64.exe"
 if "%DESIRED_PYTHON%" == "3.10" set "PYTHON_INSTALLER_URL=https://www.python.org/ftp/python/3.10.0/python-3.10.0-amd64.exe"
 if "%DESIRED_PYTHON%" == "3.9" set "PYTHON_INSTALLER_URL=https://www.python.org/ftp/python/3.9.0/python-3.9.0-amd64.exe"
+if "%DESIRED_PYTHON%" == "3.8" set "PYTHON_INSTALLER_URL=https://www.python.org/ftp/python/3.8.2/python-3.8.2-amd64.exe"
 if "%PYTHON_INSTALLER_URL%" == "" (
     echo Python %DESIRED_PYTHON% not supported yet
 )
 
-set ADDITIONAL_OPTIONS=""
-set PYTHON_EXEC="python"
-if "%DESIRED_PYTHON%" == "3.13t" (
-    set ADDITIONAL_OPTIONS="Include_freethreaded=1"
-    set PYTHON_EXEC="python3.13t"
-)
-
 del python-amd64.exe
 curl --retry 3 -kL "%PYTHON_INSTALLER_URL%" --output python-amd64.exe
 if errorlevel 1 exit /b 1
@@ -61,39 +55,85 @@ if errorlevel 1 exit /b 1
 :: the installed Python to PATH system-wide. Even calling set PATH=%ORIG_PATH% later on won't make
 :: a change. As the builder directory will be removed after the smoke test, all subsequent non-binary
 :: jobs will fail to find any Python executable there
-start /wait "" python-amd64.exe /quiet InstallAllUsers=1 PrependPath=0 Include_test=0 %ADDITIONAL_OPTIONS% TargetDir=%CD%\Python
+start /wait "" python-amd64.exe /quiet InstallAllUsers=1 PrependPath=0 Include_test=0 TargetDir=%CD%\Python
 if errorlevel 1 exit /b 1
 
 set "PATH=%CD%\Python%PYTHON_VERSION%\Scripts;%CD%\Python;%PATH%"
-if "%DESIRED_PYTHON%" == "3.13t" %PYTHON_EXEC% -m pip install --pre numpy==2.2.1 protobuf
-if "%DESIRED_PYTHON%" == "3.13" %PYTHON_EXEC% -m pip install --pre numpy==2.1.2 protobuf
-if "%DESIRED_PYTHON%" == "3.12" %PYTHON_EXEC% -m pip install --pre numpy==2.0.2 protobuf
-if "%DESIRED_PYTHON%" == "3.11" %PYTHON_EXEC% -m pip install --pre numpy==2.0.2 protobuf
-if "%DESIRED_PYTHON%" == "3.10" %PYTHON_EXEC% -m pip install --pre numpy==2.0.2 protobuf
-if "%DESIRED_PYTHON%" == "3.9" %PYTHON_EXEC% -m pip install --pre numpy==2.0.2 protobuf networkx
+
+if "%DESIRED_PYTHON%" == "3.13" pip install -q --pre numpy==2.1.0 protobuf
+if "%DESIRED_PYTHON%" == "3.12" pip install -q --pre numpy==2.0.2 protobuf
+if "%DESIRED_PYTHON%" == "3.11" pip install -q --pre numpy==2.0.2 protobuf
+if "%DESIRED_PYTHON%" == "3.10" pip install -q --pre numpy==2.0.2 protobuf
+if "%DESIRED_PYTHON%" == "3.9" pip install -q --pre numpy==2.0.2 protobuf
+if "%DESIRED_PYTHON%" == "3.8" pip install -q numpy protobuf
 
 if errorlevel 1 exit /b 1
 
-if "%PYTORCH_BUILD_VERSION:dev=%" NEQ "%PYTORCH_BUILD_VERSION%" (
-    set "CHANNEL=nightly"
-) else (
-    set "CHANNEL=test"
-)
-
-set "EXTRA_INDEX= "
-if "%CUDA_VERSION%" == "xpu" set "EXTRA_INDEX=--index-url https://download.pytorch.org/whl/%CHANNEL%/xpu"
-
-for /F "delims=" %%i in ('where /R "%PYTORCH_FINAL_PACKAGE_DIR:/=\%" *.whl') do %PYTHON_EXEC% -m pip install "%%i" %EXTRA_INDEX%
+for /F "delims=" %%i in ('where /R "%PYTORCH_FINAL_PACKAGE_DIR:/=\%" *.whl') do pip install "%%i"
 if errorlevel 1 exit /b 1
 
 goto smoke_test
 
+:conda
+echo "install conda package"
+
+:: Install Miniconda3
+set "CONDA_HOME=%CD%\conda"
+set "tmp_conda=%CONDA_HOME%"
+set "miniconda_exe=%CD%\miniconda.exe"
+set "CONDA_EXTRA_ARGS=cpuonly -c pytorch-nightly"
+if "%CUDA_VERSION%" == "118" (
+    set "CONDA_EXTRA_ARGS=pytorch-cuda=11.8 -c nvidia -c pytorch-nightly"
+)
+if "%CUDA_VERSION%" == "121" (
+    set "CONDA_EXTRA_ARGS=pytorch-cuda=12.1 -c nvidia -c pytorch-nightly"
+)
+if "%CUDA_VERSION%" == "124" (
+    set "CONDA_EXTRA_ARGS=pytorch-cuda=12.4 -c nvidia -c pytorch-nightly"
+)
+if "%CUDA_VERSION%" == "126" (
+    set "CONDA_EXTRA_ARGS=pytorch-cuda=12.6 -c nvidia -c pytorch-nightly"
+)
+
+rmdir /s /q conda
+del miniconda.exe
+curl -k https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe -o "%miniconda_exe%"
+start /wait "" "%miniconda_exe%" /S /InstallationType=JustMe /RegisterPython=0 /AddToPath=0 /D=%tmp_conda%
+if ERRORLEVEL 1 exit /b 1
+
+set "PATH=%CONDA_HOME%;%CONDA_HOME%\scripts;%CONDA_HOME%\Library\bin;%PATH%"
+
+conda create -qyn testenv python=%DESIRED_PYTHON%
+if errorlevel 1 exit /b 1
+call conda install -yq conda-build
+if errorlevel 1 exit /b 1
+call %CONDA_HOME%\condabin\activate.bat testenv
+if errorlevel 1 exit /b 1
+set "NO_ARCH_PATH=%PYTORCH_FINAL_PACKAGE_DIR:/=\%\noarch"
+mkdir %NO_ARCH_PATH%
+for /F "delims=" %%i in ('where /R "%PYTORCH_FINAL_PACKAGE_DIR:/=\%" *') do xcopy "%%i" %NO_ARCH_PATH% /Y
+if ERRORLEVEL 1 exit /b 1
+call conda index %PYTORCH_FINAL_PACKAGE_DIR%
+if errorlevel 1 exit /b 1
+call conda install -yq -c "file:///%PYTORCH_FINAL_PACKAGE_DIR%" pytorch==%PYTORCH_BUILD_VERSION% -c pytorch -c numba/label/dev -c nvidia
+if ERRORLEVEL 1 exit /b 1
+call conda install -yq numpy
+if ERRORLEVEL 1 exit /b 1
+
+set /a CUDA_VER=%CUDA_VERSION%
+set CUDA_VER_MAJOR=%CUDA_VERSION:~0,-1%
+set CUDA_VER_MINOR=%CUDA_VERSION:~-1,1%
+set CUDA_VERSION_STR=%CUDA_VER_MAJOR%.%CUDA_VER_MINOR%
+
+:: Install package we just build
+
+
 :smoke_test
-%PYTHON_EXEC% -c "import torch"
+python -c "import torch"
 if ERRORLEVEL 1 exit /b 1
 
 echo Checking that MKL is available
-%PYTHON_EXEC% -c "import torch; exit(0 if torch.backends.mkl.is_available() else 1)"
+python -c "import torch; exit(0 if torch.backends.mkl.is_available() else 1)"
 if ERRORLEVEL 1 exit /b 1
 
 if "%NVIDIA_GPU_EXISTS%" == "0" (
@@ -102,24 +142,24 @@ if "%NVIDIA_GPU_EXISTS%" == "0" (
 )
 
 echo Checking that CUDA archs are setup correctly
-%PYTHON_EXEC% -c "import torch; torch.randn([3,5]).cuda()"
+python -c "import torch; torch.randn([3,5]).cuda()"
 if ERRORLEVEL 1 exit /b 1
 
 echo Checking that magma is available
-%PYTHON_EXEC% -c "import torch; torch.rand(1).cuda(); exit(0 if torch.cuda.has_magma else 1)"
+python -c "import torch; torch.rand(1).cuda(); exit(0 if torch.cuda.has_magma else 1)"
 if ERRORLEVEL 1 exit /b 1
 
 echo Checking that CuDNN is available
-%PYTHON_EXEC% -c "import torch; exit(0 if torch.backends.cudnn.is_available() else 1)"
+python -c "import torch; exit(0 if torch.backends.cudnn.is_available() else 1)"
 if ERRORLEVEL 1 exit /b 1
 
 echo Checking that basic RNN works
-%PYTHON_EXEC% %PYTORCH_ROOT%\.ci\pytorch\test_example_code\rnn_smoke.py
+python %PYTORCH_ROOT%\.ci\pytorch\test_example_code\rnn_smoke.py
 
 if ERRORLEVEL 1 exit /b 1
 
 echo Checking that basic CNN works
-%PYTHON_EXEC% %PYTORCH_ROOT%\.ci\pytorch\test_example_code\cnn_smoke.py
+python %PYTORCH_ROOT%\.ci\pytorch\test_example_code\cnn_smoke.py
 if ERRORLEVEL 1 exit /b 1
 
 goto end
@@ -127,6 +167,7 @@ goto end
 :libtorch
 echo "install and test libtorch"
 
+if "%VC_YEAR%" == "2019" powershell internal\vs2019_install.ps1
 if "%VC_YEAR%" == "2022" powershell internal\vs2022_install.ps1
 
 if ERRORLEVEL 1 exit /b 1
@@ -138,6 +179,10 @@ pushd tmp\libtorch
 
 set VC_VERSION_LOWER=17
 set VC_VERSION_UPPER=18
+IF "%VC_YEAR%" == "2019" (
+    set VC_VERSION_LOWER=16
+    set VC_VERSION_UPPER=17
+)
 
 for /f "usebackq tokens=*" %%i in (`"%ProgramFiles(x86)%\Microsoft Visual Studio\Installer\vswhere.exe" -legacy -products * -version [%VC_VERSION_LOWER%^,%VC_VERSION_UPPER%^) -property installationPath`) do (
     if exist "%%i" if exist "%%i\VC\Auxiliary\Build\vcvarsall.bat" (

.ci/pytorch/windows/internal/static_lib_test.bat

@@ -70,6 +70,7 @@ echo "install and test libtorch"
 pip install cmake
 echo "installing cmake"
 
+if "%VC_YEAR%" == "2019" powershell internal\vs2019_install.ps1
 if "%VC_YEAR%" == "2022" powershell internal\vs2022_install.ps1
 
 if ERRORLEVEL 1 exit /b 1
@@ -82,6 +83,10 @@ pushd tmp\libtorch
 
 set VC_VERSION_LOWER=17
 set VC_VERSION_UPPER=18
+IF "%VC_YEAR%" == "2019" (
+    set VC_VERSION_LOWER=16
+    set VC_VERSION_UPPER=17
+)
 
 for /f "usebackq tokens=*" %%i in (`"%ProgramFiles(x86)%\Microsoft Visual Studio\Installer\vswhere.exe" -legacy -products * -version [%VC_VERSION_LOWER%^,%VC_VERSION_UPPER%^) -property installationPath`) do (
     if exist "%%i" if exist "%%i\VC\Auxiliary\Build\vcvarsall.bat" (

.ci/pytorch/windows/internal/vc_install_helper.bat

@@ -1,8 +1,12 @@
+if "%VC_YEAR%" == "2019" powershell windows/internal/vs2019_install.ps1
 if "%VC_YEAR%" == "2022" powershell windows/internal/vs2022_install.ps1
 
 set VC_VERSION_LOWER=17
 set VC_VERSION_UPPER=18
-
+if "%VC_YEAR%" == "2019" (
+    set VC_VERSION_LOWER=16
+    set VC_VERSION_UPPER=17
+)
 
 for /f "usebackq tokens=*" %%i in (`"%ProgramFiles(x86)%\Microsoft Visual Studio\Installer\vswhere.exe"  -products Microsoft.VisualStudio.Product.BuildTools -version [%VC_VERSION_LOWER%^,%VC_VERSION_UPPER%^) -property installationPath`) do (
     if exist "%%i" if exist "%%i\VC\Auxiliary\Build\vcvarsall.bat" (

.ci/pytorch/windows/internal/vs2019_install.ps1

@@ -0,0 +1,48 @@
+# https://developercommunity.visualstudio.com/t/install-specific-version-of-vs-component/1142479
+# https://docs.microsoft.com/en-us/visualstudio/releases/2019/history#release-dates-and-build-numbers
+
+# 16.8.6 BuildTools
+$VS_DOWNLOAD_LINK = "https://ossci-windows.s3.us-east-1.amazonaws.com/vs16.8.6_BuildTools.exe"
+$COLLECT_DOWNLOAD_LINK = "https://aka.ms/vscollect.exe"
+$VS_INSTALL_ARGS = @("--nocache","--quiet","--wait", "--add Microsoft.VisualStudio.Workload.VCTools",
+                                                     "--add Microsoft.Component.MSBuild",
+                                                     "--add Microsoft.VisualStudio.Component.Roslyn.Compiler",
+                                                     "--add Microsoft.VisualStudio.Component.TextTemplating",
+                                                     "--add Microsoft.VisualStudio.Component.VC.CoreIde",
+                                                     "--add Microsoft.VisualStudio.Component.VC.Redist.14.Latest",
+                                                     "--add Microsoft.VisualStudio.ComponentGroup.NativeDesktop.Core",
+                                                     "--add Microsoft.VisualStudio.Component.VC.Tools.x86.x64",
+                                                     "--add Microsoft.VisualStudio.ComponentGroup.NativeDesktop.Win81")
+
+curl.exe --retry 3 -kL $VS_DOWNLOAD_LINK --output vs_installer.exe
+if ($LASTEXITCODE -ne 0) {
+    echo "Download of the VS 2019 Version 16.8.5 installer failed"
+    exit 1
+}
+
+if (Test-Path "${env:ProgramFiles(x86)}\Microsoft Visual Studio\Installer\vswhere.exe") {
+    $existingPath = & "${env:ProgramFiles(x86)}\Microsoft Visual Studio\Installer\vswhere.exe" -products "Microsoft.VisualStudio.Product.BuildTools" -version "[16, 17)" -property installationPath
+    if ($existingPath -ne $null) {
+        if (!${env:CIRCLECI}) {
+            echo "Found correctly versioned existing BuildTools installation in $existingPath"
+            exit 0
+        }
+        echo "Found existing BuildTools installation in $existingPath, keeping it"
+    }
+}
+
+$process = Start-Process "${PWD}\vs_installer.exe" -ArgumentList $VS_INSTALL_ARGS -NoNewWindow -Wait -PassThru
+Remove-Item -Path vs_installer.exe -Force
+$exitCode = $process.ExitCode
+if (($exitCode -ne 0) -and ($exitCode -ne 3010)) {
+    echo "VS 2019 installer exited with code $exitCode, which should be one of [0, 3010]."
+    curl.exe --retry 3 -kL $COLLECT_DOWNLOAD_LINK --output Collect.exe
+    if ($LASTEXITCODE -ne 0) {
+        echo "Download of the VS Collect tool failed."
+        exit 1
+    }
+    Start-Process "${PWD}\Collect.exe" -NoNewWindow -Wait -PassThru
+    New-Item -Path "C:\w\build-results" -ItemType "directory" -Force
+    Copy-Item -Path "C:\Users\${env:USERNAME}\AppData\Local\Temp\vslogs.zip" -Destination "C:\w\build-results\"
+    exit 1
+}

.ci/pytorch/windows/internal/xpu_install.bat

@@ -47,9 +47,9 @@ set XPU_EXTRA_INSTALLED=0
 set XPU_EXTRA_UNINSTALL=0
 
 if not [%XPU_VERSION%]==[] if [%XPU_VERSION%]==[2025.0] (
-    set XPU_BUNDLE_URL=https://registrationcenter-download.intel.com/akdlm/IRC_NAS/9d6d6c17-ca2d-4735-9331-99447e4a1280/intel-deep-learning-essentials-2025.0.1.28_offline.exe
+    set XPU_BUNDLE_URL=https://registrationcenter-download.intel.com/akdlm/IRC_NAS/efc86abd-cb77-452e-a03f-a741895b8ece/intel-deep-learning-essentials-2025.0.0.336_offline.exe
     set XPU_BUNDLE_PRODUCT_NAME=intel.oneapi.win.deep-learning-essentials.product
-    set XPU_BUNDLE_VERSION=2025.0.1+20
+    set XPU_BUNDLE_VERSION=2025.0.0+335
     set XPU_BUNDLE_INSTALLED=0
     set XPU_BUNDLE_UNINSTALL=0
     set XPU_EXTRA_URL=NULL
@@ -104,6 +104,14 @@ goto xpu_install_end
 
 :xpu_bundle_install
 
+:: Install Level Zero SDK
+set XPU_EXTRA_LZ_URL=https://github.com/oneapi-src/level-zero/releases/download/v1.14.0/level-zero-sdk_1.14.0.zip
+curl -k -L %XPU_EXTRA_LZ_URL% --output "%SRC_DIR%\temp_build\level_zero_sdk.zip"
+echo "Installing level zero SDK..."
+7z x "%SRC_DIR%\temp_build\level_zero_sdk.zip" -o"%SRC_DIR%\temp_build\level_zero"
+set "INCLUDE=%SRC_DIR%\temp_build\level_zero\include;%INCLUDE%"
+
+:: Install Bundle
 curl -o xpu_bundle.exe --retry 3 --retry-all-errors -k %XPU_BUNDLE_URL%
 echo "XPU Bundle installing..."
 start /wait "Intel Pytorch Bundle Installer" "xpu_bundle.exe" --action=install --eula=accept --silent --log-dir install_bundle
@@ -120,14 +128,3 @@ if errorlevel 1 exit /b 1
 del xpu_extra.exe
 
 :xpu_install_end
-
-if not "%XPU_ENABLE_KINETO%"=="1" goto install_end
-:: Install Level Zero SDK
-set XPU_EXTRA_LZ_URL=https://github.com/oneapi-src/level-zero/releases/download/v1.14.0/level-zero-sdk_1.14.0.zip
-curl -k -L %XPU_EXTRA_LZ_URL% --output "%SRC_DIR%\temp_build\level_zero_sdk.zip"
-echo "Installing level zero SDK..."
-7z x "%SRC_DIR%\temp_build\level_zero_sdk.zip" -o"%SRC_DIR%\temp_build\level_zero"
-set "INCLUDE=%SRC_DIR%\temp_build\level_zero\include;%INCLUDE%"
-del "%SRC_DIR%\temp_build\level_zero_sdk.zip"
-
-:install_end

.ci/pytorch/windows/xpu.bat

@@ -28,6 +28,11 @@ call "%XPU_BUNDLE_ROOT%\compiler\latest\env\vars.bat"
 call "%XPU_BUNDLE_ROOT%\ocloc\latest\env\vars.bat"
 IF ERRORLEVEL 1 goto :eof
 
+:: Workaround for https://github.com/pytorch/pytorch/issues/134989
+set CMAKE_SHARED_LINKER_FLAGS=/FORCE:MULTIPLE
+set CMAKE_MODULE_LINKER_FLAGS=/FORCE:MULTIPLE
+set CMAKE_EXE_LINKER_FLAGS=/FORCE:MULTIPLE
+
 if exist "%NIGHTLIES_PYTORCH_ROOT%" cd %NIGHTLIES_PYTORCH_ROOT%\..
 call %~dp0\internal\copy_cpu.bat
 IF ERRORLEVEL 1 goto :eof