mirror of
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Revert "Remove Cuda 12.4 from nightly Binaries (#148625)"
This reverts commit 1239176fe7.
Reverted https://github.com/pytorch/pytorch/pull/148625 on behalf of https://github.com/malfet due to Broke lint ([comment](https://github.com/pytorch/pytorch/pull/148625#issuecomment-2707415005))
This commit is contained in:
PyTorch MergeBot
parent
6602e632cd
commit
99da439d10
30
.github/scripts/generate_binary_build_matrix.py
vendored
30
.github/scripts/generate_binary_build_matrix.py
vendored
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@ -16,14 +16,16 @@ from typing import Optional
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# NOTE: Also update the CUDA sources in tools/nightly.py when changing this list
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CUDA_ARCHES = ["11.8", "12.6", "12.8"]
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CUDA_ARCHES = ["11.8", "12.4", "12.6", "12.8"]
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CUDA_ARCHES_FULL_VERSION = {
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"11.8": "11.8.0",
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"12.4": "12.4.1",
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"12.6": "12.6.3",
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"12.8": "12.8.0",
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}
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CUDA_ARCHES_CUDNN_VERSION = {
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"11.8": "9",
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"12.4": "9",
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"12.6": "9",
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"12.8": "9",
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}
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@ -56,6 +58,21 @@ PYTORCH_EXTRA_INSTALL_REQUIREMENTS = {
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"nvidia-nccl-cu11==2.21.5; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-nvtx-cu11==11.8.86; platform_system == 'Linux' and platform_machine == 'x86_64'"
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),
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"12.4": (
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"nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'"
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),
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"12.6": (
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"nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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@ -331,7 +348,7 @@ def generate_wheels_matrix(
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continue
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if use_split_build and (
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arch_version not in ["12.6", "12.8", "11.8", "cpu"] or os != "linux"
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arch_version not in ["12.6", "12.4", "11.8", "cpu"] or os != "linux"
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):
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raise RuntimeError(
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"Split build is only supported on linux with cuda 12*, 11.8, and cpu.\n"
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@ -342,7 +359,7 @@ def generate_wheels_matrix(
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# cuda linux wheels require PYTORCH_EXTRA_INSTALL_REQUIREMENTS to install
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if (
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arch_version in ["12.8", "12.6", "11.8"]
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arch_version in ["12.8", "12.6", "12.4", "11.8"]
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and os == "linux"
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or arch_version in CUDA_AARCH64_ARCHES
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):
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@ -371,8 +388,8 @@ def generate_wheels_matrix(
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), # include special case for aarch64 build, remove the -aarch64 postfix
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}
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)
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# Special build building to use on Colab. Python 3.11 for 12.6 CUDA
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if python_version == "3.11" and arch_version == "12.6":
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# Special build building to use on Colab. Python 3.11 for 12.4 CUDA
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if python_version == "3.11" and arch_version == "12.4":
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ret.append(
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{
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"python_version": python_version,
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@ -415,7 +432,7 @@ def generate_wheels_matrix(
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"pytorch_extra_install_requirements": (
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PYTORCH_EXTRA_INSTALL_REQUIREMENTS["xpu"]
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if gpu_arch_type == "xpu"
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else PYTORCH_EXTRA_INSTALL_REQUIREMENTS["12.6"]
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else PYTORCH_EXTRA_INSTALL_REQUIREMENTS["12.4"]
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if os != "linux"
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else ""
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),
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@ -427,4 +444,5 @@ def generate_wheels_matrix(
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validate_nccl_dep_consistency("12.8")
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validate_nccl_dep_consistency("12.6")
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validate_nccl_dep_consistency("12.4")
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validate_nccl_dep_consistency("11.8")
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2
.github/scripts/generate_ci_workflows.py
vendored
2
.github/scripts/generate_ci_workflows.py
vendored
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@ -152,7 +152,7 @@ LINUX_BINARY_SMOKE_WORKFLOWS = [
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package_type="manywheel",
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build_configs=generate_binary_build_matrix.generate_wheels_matrix(
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OperatingSystem.LINUX,
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arches=["11.8", "12.6", "12.8"],
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arches=["11.8", "12.4", "12.6", "12.8"],
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python_versions=["3.9"],
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),
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branches="main",
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12
.github/workflows/generated-linux-aarch64-binary-manywheel-nightly.yml
generated
vendored
12
.github/workflows/generated-linux-aarch64-binary-manywheel-nightly.yml
generated
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@ -64,7 +64,7 @@ jobs:
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ALPINE_IMAGE: "arm64v8/alpine"
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build_name: manywheel-py3_9-cpu-aarch64
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build_environment: linux-aarch64-binary-manywheel
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PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
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PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
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secrets:
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github-token: ${{ secrets.GITHUB_TOKEN }}
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manywheel-py3_9-cpu-aarch64-test: # Testing
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@ -227,7 +227,7 @@ jobs:
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ALPINE_IMAGE: "arm64v8/alpine"
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build_name: manywheel-py3_10-cpu-aarch64
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build_environment: linux-aarch64-binary-manywheel
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PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
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PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
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secrets:
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github-token: ${{ secrets.GITHUB_TOKEN }}
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manywheel-py3_10-cpu-aarch64-test: # Testing
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@ -390,7 +390,7 @@ jobs:
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ALPINE_IMAGE: "arm64v8/alpine"
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build_name: manywheel-py3_11-cpu-aarch64
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build_environment: linux-aarch64-binary-manywheel
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PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
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PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
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secrets:
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github-token: ${{ secrets.GITHUB_TOKEN }}
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manywheel-py3_11-cpu-aarch64-test: # Testing
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@ -553,7 +553,7 @@ jobs:
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ALPINE_IMAGE: "arm64v8/alpine"
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build_name: manywheel-py3_12-cpu-aarch64
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build_environment: linux-aarch64-binary-manywheel
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PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
|
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PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
|
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secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
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manywheel-py3_12-cpu-aarch64-test: # Testing
|
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|
|
@ -716,7 +716,7 @@ jobs:
|
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ALPINE_IMAGE: "arm64v8/alpine"
|
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build_name: manywheel-py3_13-cpu-aarch64
|
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build_environment: linux-aarch64-binary-manywheel
|
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PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
manywheel-py3_13-cpu-aarch64-test: # Testing
|
||||
|
|
@ -879,7 +879,7 @@ jobs:
|
|||
ALPINE_IMAGE: "arm64v8/alpine"
|
||||
build_name: manywheel-py3_13t-cpu-aarch64
|
||||
build_environment: linux-aarch64-binary-manywheel
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
manywheel-py3_13t-cpu-aarch64-test: # Testing
|
||||
|
|
|
|||
65
.github/workflows/generated-linux-binary-libtorch-cxx11-abi-nightly.yml
generated
vendored
65
.github/workflows/generated-linux-binary-libtorch-cxx11-abi-nightly.yml
generated
vendored
|
|
@ -171,6 +171,71 @@ jobs:
|
|||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
uses: ./.github/workflows/_binary-upload.yml
|
||||
|
||||
libtorch-cuda12_4-shared-with-deps-cxx11-abi-build:
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
uses: ./.github/workflows/_binary-build-linux.yml
|
||||
needs: get-label-type
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: libtorch
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda12.4-main
|
||||
LIBTORCH_VARIANT: shared-with-deps
|
||||
DESIRED_DEVTOOLSET: cxx11-abi
|
||||
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
|
||||
build_name: libtorch-cuda12_4-shared-with-deps-cxx11-abi
|
||||
build_environment: linux-binary-libtorch-cxx11-abi
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
libtorch-cuda12_4-shared-with-deps-cxx11-abi-test: # Testing
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
needs:
|
||||
- libtorch-cuda12_4-shared-with-deps-cxx11-abi-build
|
||||
- get-label-type
|
||||
uses: ./.github/workflows/_binary-test-linux.yml
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: libtorch
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda12.4-main
|
||||
LIBTORCH_VARIANT: shared-with-deps
|
||||
DESIRED_DEVTOOLSET: cxx11-abi
|
||||
build_name: libtorch-cuda12_4-shared-with-deps-cxx11-abi
|
||||
build_environment: linux-binary-libtorch-cxx11-abi
|
||||
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
|
||||
runs_on: linux.4xlarge.nvidia.gpu
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
libtorch-cuda12_4-shared-with-deps-cxx11-abi-upload: # Uploading
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
permissions:
|
||||
id-token: write
|
||||
contents: read
|
||||
needs: libtorch-cuda12_4-shared-with-deps-cxx11-abi-test
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: libtorch
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda12.4-main
|
||||
LIBTORCH_VARIANT: shared-with-deps
|
||||
DESIRED_DEVTOOLSET: cxx11-abi
|
||||
build_name: libtorch-cuda12_4-shared-with-deps-cxx11-abi
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
uses: ./.github/workflows/_binary-upload.yml
|
||||
|
||||
libtorch-cuda12_6-shared-with-deps-cxx11-abi-build:
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
uses: ./.github/workflows/_binary-build-linux.yml
|
||||
|
|
|
|||
47
.github/workflows/generated-linux-binary-manywheel-main.yml
generated
vendored
47
.github/workflows/generated-linux-binary-manywheel-main.yml
generated
vendored
|
|
@ -86,6 +86,53 @@ jobs:
|
|||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
|
||||
manywheel-py3_9-cuda12_4-build:
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
uses: ./.github/workflows/_binary-build-linux.yml
|
||||
needs: get-label-type
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: manywheel
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.4-main
|
||||
DESIRED_DEVTOOLSET: cxx11-abi
|
||||
use_split_build: False
|
||||
DESIRED_PYTHON: "3.9"
|
||||
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
|
||||
build_name: manywheel-py3_9-cuda12_4
|
||||
build_environment: linux-binary-manywheel
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
manywheel-py3_9-cuda12_4-test: # Testing
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
needs:
|
||||
- manywheel-py3_9-cuda12_4-build
|
||||
- get-label-type
|
||||
uses: ./.github/workflows/_binary-test-linux.yml
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: manywheel
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.4-main
|
||||
DESIRED_DEVTOOLSET: cxx11-abi
|
||||
use_split_build: False
|
||||
DESIRED_PYTHON: "3.9"
|
||||
build_name: manywheel-py3_9-cuda12_4
|
||||
build_environment: linux-binary-manywheel
|
||||
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
|
||||
runs_on: linux.4xlarge.nvidia.gpu
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
|
||||
manywheel-py3_9-cuda12_6-build:
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
uses: ./.github/workflows/_binary-build-linux.yml
|
||||
|
|
|
|||
544
.github/workflows/generated-linux-binary-manywheel-nightly.yml
generated
vendored
544
.github/workflows/generated-linux-binary-manywheel-nightly.yml
generated
vendored
|
|
@ -243,6 +243,75 @@ jobs:
|
|||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
uses: ./.github/workflows/_binary-upload.yml
|
||||
|
||||
manywheel-py3_9-cuda12_4-build:
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
uses: ./.github/workflows/_binary-build-linux.yml
|
||||
needs: get-label-type
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: manywheel
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.4-main
|
||||
DESIRED_DEVTOOLSET: cxx11-abi
|
||||
use_split_build: False
|
||||
DESIRED_PYTHON: "3.9"
|
||||
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
|
||||
build_name: manywheel-py3_9-cuda12_4
|
||||
build_environment: linux-binary-manywheel
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
manywheel-py3_9-cuda12_4-test: # Testing
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
needs:
|
||||
- manywheel-py3_9-cuda12_4-build
|
||||
- get-label-type
|
||||
uses: ./.github/workflows/_binary-test-linux.yml
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: manywheel
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.4-main
|
||||
DESIRED_DEVTOOLSET: cxx11-abi
|
||||
use_split_build: False
|
||||
DESIRED_PYTHON: "3.9"
|
||||
build_name: manywheel-py3_9-cuda12_4
|
||||
build_environment: linux-binary-manywheel
|
||||
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
|
||||
runs_on: linux.4xlarge.nvidia.gpu
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
manywheel-py3_9-cuda12_4-upload: # Uploading
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
permissions:
|
||||
id-token: write
|
||||
contents: read
|
||||
needs: manywheel-py3_9-cuda12_4-test
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: manywheel
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.4-main
|
||||
DESIRED_DEVTOOLSET: cxx11-abi
|
||||
use_split_build: False
|
||||
DESIRED_PYTHON: "3.9"
|
||||
build_name: manywheel-py3_9-cuda12_4
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
uses: ./.github/workflows/_binary-upload.yml
|
||||
|
||||
manywheel-py3_9-cuda12_6-build:
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
uses: ./.github/workflows/_binary-build-linux.yml
|
||||
|
|
@ -872,6 +941,75 @@ jobs:
|
|||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
uses: ./.github/workflows/_binary-upload.yml
|
||||
|
||||
manywheel-py3_10-cuda12_4-build:
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
uses: ./.github/workflows/_binary-build-linux.yml
|
||||
needs: get-label-type
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: manywheel
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.4-main
|
||||
DESIRED_DEVTOOLSET: cxx11-abi
|
||||
use_split_build: False
|
||||
DESIRED_PYTHON: "3.10"
|
||||
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
|
||||
build_name: manywheel-py3_10-cuda12_4
|
||||
build_environment: linux-binary-manywheel
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
manywheel-py3_10-cuda12_4-test: # Testing
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
needs:
|
||||
- manywheel-py3_10-cuda12_4-build
|
||||
- get-label-type
|
||||
uses: ./.github/workflows/_binary-test-linux.yml
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: manywheel
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.4-main
|
||||
DESIRED_DEVTOOLSET: cxx11-abi
|
||||
use_split_build: False
|
||||
DESIRED_PYTHON: "3.10"
|
||||
build_name: manywheel-py3_10-cuda12_4
|
||||
build_environment: linux-binary-manywheel
|
||||
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
|
||||
runs_on: linux.4xlarge.nvidia.gpu
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
manywheel-py3_10-cuda12_4-upload: # Uploading
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
permissions:
|
||||
id-token: write
|
||||
contents: read
|
||||
needs: manywheel-py3_10-cuda12_4-test
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: manywheel
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.4-main
|
||||
DESIRED_DEVTOOLSET: cxx11-abi
|
||||
use_split_build: False
|
||||
DESIRED_PYTHON: "3.10"
|
||||
build_name: manywheel-py3_10-cuda12_4
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
uses: ./.github/workflows/_binary-upload.yml
|
||||
|
||||
manywheel-py3_10-cuda12_6-build:
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
uses: ./.github/workflows/_binary-build-linux.yml
|
||||
|
|
@ -1501,6 +1639,140 @@ jobs:
|
|||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
uses: ./.github/workflows/_binary-upload.yml
|
||||
|
||||
manywheel-py3_11-cuda12_4-build:
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
uses: ./.github/workflows/_binary-build-linux.yml
|
||||
needs: get-label-type
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: manywheel
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.4-main
|
||||
DESIRED_DEVTOOLSET: cxx11-abi
|
||||
use_split_build: False
|
||||
DESIRED_PYTHON: "3.11"
|
||||
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
|
||||
build_name: manywheel-py3_11-cuda12_4
|
||||
build_environment: linux-binary-manywheel
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
manywheel-py3_11-cuda12_4-test: # Testing
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
needs:
|
||||
- manywheel-py3_11-cuda12_4-build
|
||||
- get-label-type
|
||||
uses: ./.github/workflows/_binary-test-linux.yml
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: manywheel
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.4-main
|
||||
DESIRED_DEVTOOLSET: cxx11-abi
|
||||
use_split_build: False
|
||||
DESIRED_PYTHON: "3.11"
|
||||
build_name: manywheel-py3_11-cuda12_4
|
||||
build_environment: linux-binary-manywheel
|
||||
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
|
||||
runs_on: linux.4xlarge.nvidia.gpu
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
manywheel-py3_11-cuda12_4-upload: # Uploading
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
permissions:
|
||||
id-token: write
|
||||
contents: read
|
||||
needs: manywheel-py3_11-cuda12_4-test
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: manywheel
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.4-main
|
||||
DESIRED_DEVTOOLSET: cxx11-abi
|
||||
use_split_build: False
|
||||
DESIRED_PYTHON: "3.11"
|
||||
build_name: manywheel-py3_11-cuda12_4
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
uses: ./.github/workflows/_binary-upload.yml
|
||||
|
||||
manywheel-py3_11-cuda12_4-full-build:
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
uses: ./.github/workflows/_binary-build-linux.yml
|
||||
needs: get-label-type
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: manywheel
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.4-main
|
||||
use_split_build: False
|
||||
DESIRED_PYTHON: "3.11"
|
||||
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
|
||||
build_name: manywheel-py3_11-cuda12_4-full
|
||||
build_environment: linux-binary-manywheel
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
manywheel-py3_11-cuda12_4-full-test: # Testing
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
needs:
|
||||
- manywheel-py3_11-cuda12_4-full-build
|
||||
- get-label-type
|
||||
uses: ./.github/workflows/_binary-test-linux.yml
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: manywheel
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.4-main
|
||||
use_split_build: False
|
||||
DESIRED_PYTHON: "3.11"
|
||||
build_name: manywheel-py3_11-cuda12_4-full
|
||||
build_environment: linux-binary-manywheel
|
||||
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
|
||||
runs_on: linux.4xlarge.nvidia.gpu
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
manywheel-py3_11-cuda12_4-full-upload: # Uploading
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
permissions:
|
||||
id-token: write
|
||||
contents: read
|
||||
needs: manywheel-py3_11-cuda12_4-full-test
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: manywheel
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.4-main
|
||||
use_split_build: False
|
||||
DESIRED_PYTHON: "3.11"
|
||||
build_name: manywheel-py3_11-cuda12_4-full
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
uses: ./.github/workflows/_binary-upload.yml
|
||||
|
||||
manywheel-py3_11-cuda12_6-build:
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
uses: ./.github/workflows/_binary-build-linux.yml
|
||||
|
|
@ -1570,71 +1842,6 @@ jobs:
|
|||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
uses: ./.github/workflows/_binary-upload.yml
|
||||
|
||||
manywheel-py3_11-cuda12_6-full-build:
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
uses: ./.github/workflows/_binary-build-linux.yml
|
||||
needs: get-label-type
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: manywheel
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu126
|
||||
GPU_ARCH_VERSION: 12.6
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.6-main
|
||||
use_split_build: False
|
||||
DESIRED_PYTHON: "3.11"
|
||||
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
|
||||
build_name: manywheel-py3_11-cuda12_6-full
|
||||
build_environment: linux-binary-manywheel
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
manywheel-py3_11-cuda12_6-full-test: # Testing
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
needs:
|
||||
- manywheel-py3_11-cuda12_6-full-build
|
||||
- get-label-type
|
||||
uses: ./.github/workflows/_binary-test-linux.yml
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: manywheel
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu126
|
||||
GPU_ARCH_VERSION: 12.6
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.6-main
|
||||
use_split_build: False
|
||||
DESIRED_PYTHON: "3.11"
|
||||
build_name: manywheel-py3_11-cuda12_6-full
|
||||
build_environment: linux-binary-manywheel
|
||||
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
|
||||
runs_on: linux.4xlarge.nvidia.gpu
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
manywheel-py3_11-cuda12_6-full-upload: # Uploading
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
permissions:
|
||||
id-token: write
|
||||
contents: read
|
||||
needs: manywheel-py3_11-cuda12_6-full-test
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: manywheel
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu126
|
||||
GPU_ARCH_VERSION: 12.6
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.6-main
|
||||
use_split_build: False
|
||||
DESIRED_PYTHON: "3.11"
|
||||
build_name: manywheel-py3_11-cuda12_6-full
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
uses: ./.github/workflows/_binary-upload.yml
|
||||
|
||||
manywheel-py3_11-cuda12_8-build:
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
uses: ./.github/workflows/_binary-build-linux.yml
|
||||
|
|
@ -2195,6 +2402,75 @@ jobs:
|
|||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
uses: ./.github/workflows/_binary-upload.yml
|
||||
|
||||
manywheel-py3_12-cuda12_4-build:
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
uses: ./.github/workflows/_binary-build-linux.yml
|
||||
needs: get-label-type
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: manywheel
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.4-main
|
||||
DESIRED_DEVTOOLSET: cxx11-abi
|
||||
use_split_build: False
|
||||
DESIRED_PYTHON: "3.12"
|
||||
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
|
||||
build_name: manywheel-py3_12-cuda12_4
|
||||
build_environment: linux-binary-manywheel
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
manywheel-py3_12-cuda12_4-test: # Testing
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
needs:
|
||||
- manywheel-py3_12-cuda12_4-build
|
||||
- get-label-type
|
||||
uses: ./.github/workflows/_binary-test-linux.yml
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: manywheel
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.4-main
|
||||
DESIRED_DEVTOOLSET: cxx11-abi
|
||||
use_split_build: False
|
||||
DESIRED_PYTHON: "3.12"
|
||||
build_name: manywheel-py3_12-cuda12_4
|
||||
build_environment: linux-binary-manywheel
|
||||
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
|
||||
runs_on: linux.4xlarge.nvidia.gpu
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
manywheel-py3_12-cuda12_4-upload: # Uploading
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
permissions:
|
||||
id-token: write
|
||||
contents: read
|
||||
needs: manywheel-py3_12-cuda12_4-test
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: manywheel
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.4-main
|
||||
DESIRED_DEVTOOLSET: cxx11-abi
|
||||
use_split_build: False
|
||||
DESIRED_PYTHON: "3.12"
|
||||
build_name: manywheel-py3_12-cuda12_4
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
uses: ./.github/workflows/_binary-upload.yml
|
||||
|
||||
manywheel-py3_12-cuda12_6-build:
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
uses: ./.github/workflows/_binary-build-linux.yml
|
||||
|
|
@ -2824,6 +3100,75 @@ jobs:
|
|||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
uses: ./.github/workflows/_binary-upload.yml
|
||||
|
||||
manywheel-py3_13-cuda12_4-build:
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
uses: ./.github/workflows/_binary-build-linux.yml
|
||||
needs: get-label-type
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: manywheel
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.4-main
|
||||
DESIRED_DEVTOOLSET: cxx11-abi
|
||||
use_split_build: False
|
||||
DESIRED_PYTHON: "3.13"
|
||||
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
|
||||
build_name: manywheel-py3_13-cuda12_4
|
||||
build_environment: linux-binary-manywheel
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
manywheel-py3_13-cuda12_4-test: # Testing
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
needs:
|
||||
- manywheel-py3_13-cuda12_4-build
|
||||
- get-label-type
|
||||
uses: ./.github/workflows/_binary-test-linux.yml
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: manywheel
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.4-main
|
||||
DESIRED_DEVTOOLSET: cxx11-abi
|
||||
use_split_build: False
|
||||
DESIRED_PYTHON: "3.13"
|
||||
build_name: manywheel-py3_13-cuda12_4
|
||||
build_environment: linux-binary-manywheel
|
||||
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
|
||||
runs_on: linux.4xlarge.nvidia.gpu
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
manywheel-py3_13-cuda12_4-upload: # Uploading
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
permissions:
|
||||
id-token: write
|
||||
contents: read
|
||||
needs: manywheel-py3_13-cuda12_4-test
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: manywheel
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.4-main
|
||||
DESIRED_DEVTOOLSET: cxx11-abi
|
||||
use_split_build: False
|
||||
DESIRED_PYTHON: "3.13"
|
||||
build_name: manywheel-py3_13-cuda12_4
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
uses: ./.github/workflows/_binary-upload.yml
|
||||
|
||||
manywheel-py3_13-cuda12_6-build:
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
uses: ./.github/workflows/_binary-build-linux.yml
|
||||
|
|
@ -3453,6 +3798,75 @@ jobs:
|
|||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
uses: ./.github/workflows/_binary-upload.yml
|
||||
|
||||
manywheel-py3_13t-cuda12_4-build:
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
uses: ./.github/workflows/_binary-build-linux.yml
|
||||
needs: get-label-type
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: manywheel
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.4-main
|
||||
DESIRED_DEVTOOLSET: cxx11-abi
|
||||
use_split_build: False
|
||||
DESIRED_PYTHON: "3.13t"
|
||||
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
|
||||
build_name: manywheel-py3_13t-cuda12_4
|
||||
build_environment: linux-binary-manywheel
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
manywheel-py3_13t-cuda12_4-test: # Testing
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
needs:
|
||||
- manywheel-py3_13t-cuda12_4-build
|
||||
- get-label-type
|
||||
uses: ./.github/workflows/_binary-test-linux.yml
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: manywheel
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.4-main
|
||||
DESIRED_DEVTOOLSET: cxx11-abi
|
||||
use_split_build: False
|
||||
DESIRED_PYTHON: "3.13t"
|
||||
build_name: manywheel-py3_13t-cuda12_4
|
||||
build_environment: linux-binary-manywheel
|
||||
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
|
||||
runs_on: linux.4xlarge.nvidia.gpu
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
manywheel-py3_13t-cuda12_4-upload: # Uploading
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
permissions:
|
||||
id-token: write
|
||||
contents: read
|
||||
needs: manywheel-py3_13t-cuda12_4-test
|
||||
with:
|
||||
PYTORCH_ROOT: /pytorch
|
||||
PACKAGE_TYPE: manywheel
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.4-main
|
||||
DESIRED_DEVTOOLSET: cxx11-abi
|
||||
use_split_build: False
|
||||
DESIRED_PYTHON: "3.13t"
|
||||
build_name: manywheel-py3_13t-cuda12_4
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
uses: ./.github/workflows/_binary-upload.yml
|
||||
|
||||
manywheel-py3_13t-cuda12_6-build:
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
uses: ./.github/workflows/_binary-build-linux.yml
|
||||
|
|
|
|||
10
.github/workflows/generated-linux-s390x-binary-manywheel-nightly.yml
generated
vendored
10
.github/workflows/generated-linux-s390x-binary-manywheel-nightly.yml
generated
vendored
|
|
@ -63,7 +63,7 @@ jobs:
|
|||
timeout-minutes: 420
|
||||
build_name: manywheel-py3_9-cpu-s390x
|
||||
build_environment: linux-s390x-binary-manywheel
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
manywheel-py3_9-cpu-s390x-test: # Testing
|
||||
|
|
@ -128,7 +128,7 @@ jobs:
|
|||
timeout-minutes: 420
|
||||
build_name: manywheel-py3_10-cpu-s390x
|
||||
build_environment: linux-s390x-binary-manywheel
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
manywheel-py3_10-cpu-s390x-test: # Testing
|
||||
|
|
@ -193,7 +193,7 @@ jobs:
|
|||
timeout-minutes: 420
|
||||
build_name: manywheel-py3_11-cpu-s390x
|
||||
build_environment: linux-s390x-binary-manywheel
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
manywheel-py3_11-cpu-s390x-test: # Testing
|
||||
|
|
@ -258,7 +258,7 @@ jobs:
|
|||
timeout-minutes: 420
|
||||
build_name: manywheel-py3_12-cpu-s390x
|
||||
build_environment: linux-s390x-binary-manywheel
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
manywheel-py3_12-cpu-s390x-test: # Testing
|
||||
|
|
@ -323,7 +323,7 @@ jobs:
|
|||
timeout-minutes: 420
|
||||
build_name: manywheel-py3_13-cpu-s390x
|
||||
build_environment: linux-s390x-binary-manywheel
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
manywheel-py3_13-cpu-s390x-test: # Testing
|
||||
|
|
|
|||
12
.github/workflows/generated-macos-arm64-binary-wheel-nightly.yml
generated
vendored
12
.github/workflows/generated-macos-arm64-binary-wheel-nightly.yml
generated
vendored
|
|
@ -43,7 +43,7 @@ jobs:
|
|||
GPU_ARCH_TYPE: cpu
|
||||
SKIP_ALL_TESTS: 1
|
||||
DESIRED_PYTHON: "3.9"
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
steps:
|
||||
# NOTE: These environment variables are put here so that they can be applied on every job equally
|
||||
# They are also here because setting them at a workflow level doesn't give us access to the
|
||||
|
|
@ -167,7 +167,7 @@ jobs:
|
|||
GPU_ARCH_TYPE: cpu
|
||||
SKIP_ALL_TESTS: 1
|
||||
DESIRED_PYTHON: "3.10"
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
steps:
|
||||
# NOTE: These environment variables are put here so that they can be applied on every job equally
|
||||
# They are also here because setting them at a workflow level doesn't give us access to the
|
||||
|
|
@ -291,7 +291,7 @@ jobs:
|
|||
GPU_ARCH_TYPE: cpu
|
||||
SKIP_ALL_TESTS: 1
|
||||
DESIRED_PYTHON: "3.11"
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
steps:
|
||||
# NOTE: These environment variables are put here so that they can be applied on every job equally
|
||||
# They are also here because setting them at a workflow level doesn't give us access to the
|
||||
|
|
@ -415,7 +415,7 @@ jobs:
|
|||
GPU_ARCH_TYPE: cpu
|
||||
SKIP_ALL_TESTS: 1
|
||||
DESIRED_PYTHON: "3.12"
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
steps:
|
||||
# NOTE: These environment variables are put here so that they can be applied on every job equally
|
||||
# They are also here because setting them at a workflow level doesn't give us access to the
|
||||
|
|
@ -539,7 +539,7 @@ jobs:
|
|||
GPU_ARCH_TYPE: cpu
|
||||
SKIP_ALL_TESTS: 1
|
||||
DESIRED_PYTHON: "3.13"
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
steps:
|
||||
# NOTE: These environment variables are put here so that they can be applied on every job equally
|
||||
# They are also here because setting them at a workflow level doesn't give us access to the
|
||||
|
|
@ -663,7 +663,7 @@ jobs:
|
|||
GPU_ARCH_TYPE: cpu
|
||||
SKIP_ALL_TESTS: 1
|
||||
DESIRED_PYTHON: "3.13t"
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
|
||||
steps:
|
||||
# NOTE: These environment variables are put here so that they can be applied on every job equally
|
||||
# They are also here because setting them at a workflow level doesn't give us access to the
|
||||
|
|
|
|||
249
.github/workflows/generated-windows-binary-libtorch-debug-nightly.yml
generated
vendored
249
.github/workflows/generated-windows-binary-libtorch-debug-nightly.yml
generated
vendored
|
|
@ -535,6 +535,255 @@ jobs:
|
|||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
uses: ./.github/workflows/_binary-upload.yml
|
||||
libtorch-cuda12_4-shared-with-deps-debug-build:
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
needs: get-label-type
|
||||
runs-on: "${{ needs.get-label-type.outputs.label-type }}windows.4xlarge"
|
||||
timeout-minutes: 300
|
||||
env:
|
||||
PYTORCH_ROOT: ${{ github.workspace }}/pytorch
|
||||
PACKAGE_TYPE: libtorch
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
SKIP_ALL_TESTS: 1
|
||||
LIBTORCH_CONFIG: debug
|
||||
LIBTORCH_VARIANT: shared-with-deps
|
||||
# This is a dummy value for libtorch to work correctly with our batch scripts
|
||||
# without this value pip does not get installed for some reason
|
||||
DESIRED_PYTHON: "3.9"
|
||||
steps:
|
||||
- name: Display EC2 information
|
||||
shell: bash
|
||||
run: |
|
||||
set -euo pipefail
|
||||
function get_ec2_metadata() {
|
||||
# Pulled from instance metadata endpoint for EC2
|
||||
# see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
|
||||
category=$1
|
||||
curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}"
|
||||
}
|
||||
echo "ami-id: $(get_ec2_metadata ami-id)"
|
||||
echo "instance-id: $(get_ec2_metadata instance-id)"
|
||||
echo "instance-type: $(get_ec2_metadata instance-type)"
|
||||
echo "system info $(uname -a)"
|
||||
- name: "[FB EMPLOYEES] Enable SSH (Click me for login details)"
|
||||
uses: pytorch/test-infra/.github/actions/setup-ssh@main
|
||||
continue-on-error: true
|
||||
with:
|
||||
github-secret: ${{ secrets.GITHUB_TOKEN }}
|
||||
- name: Enable git long paths and symlinks on Windows and disable fsmonitor daemon
|
||||
shell: bash
|
||||
run: |
|
||||
git config --global core.longpaths true
|
||||
git config --global core.symlinks true
|
||||
|
||||
# https://git-scm.com/docs/git-fsmonitor--daemon. The daemon could lock
|
||||
# the directory on Windows and prevent GHA from checking out as reported
|
||||
# in https://github.com/actions/checkout/issues/1018
|
||||
git config --global core.fsmonitor false
|
||||
# Needed for binary builds, see: https://github.com/pytorch/pytorch/issues/73339#issuecomment-1058981560
|
||||
- name: Enable long paths on Windows
|
||||
shell: powershell
|
||||
run: |
|
||||
Set-ItemProperty -Path "HKLM:\\SYSTEM\CurrentControlSet\Control\FileSystem" -Name "LongPathsEnabled" -Value 1
|
||||
# Since it's just a defensive command, the workflow should continue even the command fails. This step can be
|
||||
# removed once Windows Defender is removed from the AMI
|
||||
- name: Disables Windows Defender scheduled and real-time scanning for files in directories used by PyTorch
|
||||
continue-on-error: true
|
||||
shell: powershell
|
||||
run: |
|
||||
Add-MpPreference -ExclusionPath $(Get-Location).tostring(),$Env:TEMP -ErrorAction Ignore
|
||||
# Let's both exclude the path and disable Windows Defender completely just to be sure
|
||||
# that it doesn't interfere
|
||||
Set-MpPreference -DisableRealtimeMonitoring $True -ErrorAction Ignore
|
||||
# NOTE: These environment variables are put here so that they can be applied on every job equally
|
||||
# They are also here because setting them at a workflow level doesn't give us access to the
|
||||
# runner.temp variable, which we need.
|
||||
- name: Populate binary env
|
||||
shell: bash
|
||||
run: |
|
||||
echo "BINARY_ENV_FILE=${RUNNER_TEMP}/env" >> "${GITHUB_ENV}"
|
||||
echo "PYTORCH_FINAL_PACKAGE_DIR=${RUNNER_TEMP}/artifacts" >> "${GITHUB_ENV}"
|
||||
echo "WIN_PACKAGE_WORK_DIR=${RUNNER_TEMP}"
|
||||
- name: Checkout PyTorch
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
|
||||
submodules: recursive
|
||||
path: pytorch
|
||||
show-progress: false
|
||||
- name: Clean PyTorch checkout
|
||||
run: |
|
||||
# Remove any artifacts from the previous checkouts
|
||||
git clean -fxd
|
||||
working-directory: pytorch
|
||||
- name: Populate binary env
|
||||
shell: bash
|
||||
run: |
|
||||
"${PYTORCH_ROOT}/.circleci/scripts/binary_populate_env.sh"
|
||||
- name: Build PyTorch binary
|
||||
shell: bash
|
||||
run: |
|
||||
"${PYTORCH_ROOT}/.circleci/scripts/binary_windows_build.sh"
|
||||
- uses: actions/upload-artifact@v4.4.0
|
||||
if: always()
|
||||
with:
|
||||
name: libtorch-cuda12_4-shared-with-deps-debug
|
||||
retention-days: 14
|
||||
if-no-files-found: error
|
||||
path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
|
||||
- name: Wait until all sessions have drained
|
||||
shell: powershell
|
||||
working-directory: pytorch
|
||||
if: always()
|
||||
timeout-minutes: 120
|
||||
run: |
|
||||
.github\scripts\wait_for_ssh_to_drain.ps1
|
||||
- name: Kill active ssh sessions if still around (Useful if workflow was cancelled)
|
||||
shell: powershell
|
||||
working-directory: pytorch
|
||||
if: always()
|
||||
run: |
|
||||
.github\scripts\kill_active_ssh_sessions.ps1
|
||||
libtorch-cuda12_4-shared-with-deps-debug-test: # Testing
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
needs:
|
||||
- libtorch-cuda12_4-shared-with-deps-debug-build
|
||||
- get-label-type
|
||||
runs-on: "${{ needs.get-label-type.outputs.label-type }}windows.g4dn.xlarge"
|
||||
timeout-minutes: 300
|
||||
env:
|
||||
PYTORCH_ROOT: ${{ github.workspace }}/pytorch
|
||||
PACKAGE_TYPE: libtorch
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
SKIP_ALL_TESTS: 1
|
||||
LIBTORCH_CONFIG: debug
|
||||
LIBTORCH_VARIANT: shared-with-deps
|
||||
# This is a dummy value for libtorch to work correctly with our batch scripts
|
||||
# without this value pip does not get installed for some reason
|
||||
DESIRED_PYTHON: "3.9"
|
||||
steps:
|
||||
- name: Display EC2 information
|
||||
shell: bash
|
||||
run: |
|
||||
set -euo pipefail
|
||||
function get_ec2_metadata() {
|
||||
# Pulled from instance metadata endpoint for EC2
|
||||
# see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
|
||||
category=$1
|
||||
curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}"
|
||||
}
|
||||
echo "ami-id: $(get_ec2_metadata ami-id)"
|
||||
echo "instance-id: $(get_ec2_metadata instance-id)"
|
||||
echo "instance-type: $(get_ec2_metadata instance-type)"
|
||||
echo "system info $(uname -a)"
|
||||
- name: "[FB EMPLOYEES] Enable SSH (Click me for login details)"
|
||||
uses: pytorch/test-infra/.github/actions/setup-ssh@main
|
||||
continue-on-error: true
|
||||
with:
|
||||
github-secret: ${{ secrets.GITHUB_TOKEN }}
|
||||
- name: Enable git long paths and symlinks on Windows and disable fsmonitor daemon
|
||||
shell: bash
|
||||
run: |
|
||||
git config --global core.longpaths true
|
||||
git config --global core.symlinks true
|
||||
|
||||
# https://git-scm.com/docs/git-fsmonitor--daemon. The daemon could lock
|
||||
# the directory on Windows and prevent GHA from checking out as reported
|
||||
# in https://github.com/actions/checkout/issues/1018
|
||||
git config --global core.fsmonitor false
|
||||
# Needed for binary builds, see: https://github.com/pytorch/pytorch/issues/73339#issuecomment-1058981560
|
||||
- name: Enable long paths on Windows
|
||||
shell: powershell
|
||||
run: |
|
||||
Set-ItemProperty -Path "HKLM:\\SYSTEM\CurrentControlSet\Control\FileSystem" -Name "LongPathsEnabled" -Value 1
|
||||
# Since it's just a defensive command, the workflow should continue even the command fails. This step can be
|
||||
# removed once Windows Defender is removed from the AMI
|
||||
- name: Disables Windows Defender scheduled and real-time scanning for files in directories used by PyTorch
|
||||
continue-on-error: true
|
||||
shell: powershell
|
||||
run: |
|
||||
Add-MpPreference -ExclusionPath $(Get-Location).tostring(),$Env:TEMP -ErrorAction Ignore
|
||||
# Let's both exclude the path and disable Windows Defender completely just to be sure
|
||||
# that it doesn't interfere
|
||||
Set-MpPreference -DisableRealtimeMonitoring $True -ErrorAction Ignore
|
||||
# NOTE: These environment variables are put here so that they can be applied on every job equally
|
||||
# They are also here because setting them at a workflow level doesn't give us access to the
|
||||
# runner.temp variable, which we need.
|
||||
- name: Populate binary env
|
||||
shell: bash
|
||||
run: |
|
||||
echo "BINARY_ENV_FILE=${RUNNER_TEMP}/env" >> "${GITHUB_ENV}"
|
||||
echo "PYTORCH_FINAL_PACKAGE_DIR=${RUNNER_TEMP}/artifacts" >> "${GITHUB_ENV}"
|
||||
echo "WIN_PACKAGE_WORK_DIR=${RUNNER_TEMP}"
|
||||
- uses: actions/download-artifact@v4.1.7
|
||||
name: Download Build Artifacts
|
||||
with:
|
||||
name: libtorch-cuda12_4-shared-with-deps-debug
|
||||
path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
|
||||
- name: Checkout PyTorch
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
|
||||
submodules: recursive
|
||||
path: pytorch
|
||||
show-progress: false
|
||||
- name: Clean PyTorch checkout
|
||||
run: |
|
||||
# Remove any artifacts from the previous checkouts
|
||||
git clean -fxd
|
||||
working-directory: pytorch
|
||||
- name: Populate binary env
|
||||
shell: bash
|
||||
run: |
|
||||
"${PYTORCH_ROOT}/.circleci/scripts/binary_populate_env.sh"
|
||||
- name: Test PyTorch binary
|
||||
shell: bash
|
||||
run: |
|
||||
"${PYTORCH_ROOT}/.circleci/scripts/binary_windows_test.sh"
|
||||
- name: Wait until all sessions have drained
|
||||
shell: powershell
|
||||
working-directory: pytorch
|
||||
if: always()
|
||||
timeout-minutes: 120
|
||||
run: |
|
||||
.github\scripts\wait_for_ssh_to_drain.ps1
|
||||
- name: Kill active ssh sessions if still around (Useful if workflow was cancelled)
|
||||
shell: powershell
|
||||
working-directory: pytorch
|
||||
if: always()
|
||||
run: |
|
||||
.github\scripts\kill_active_ssh_sessions.ps1
|
||||
libtorch-cuda12_4-shared-with-deps-debug-upload: # Uploading
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
permissions:
|
||||
id-token: write
|
||||
contents: read
|
||||
needs: libtorch-cuda12_4-shared-with-deps-debug-test
|
||||
with:
|
||||
PYTORCH_ROOT: ${{ github.workspace }}/pytorch
|
||||
PACKAGE_TYPE: libtorch
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
LIBTORCH_CONFIG: debug
|
||||
LIBTORCH_VARIANT: shared-with-deps
|
||||
# This is a dummy value for libtorch to work correctly with our batch scripts
|
||||
# without this value pip does not get installed for some reason
|
||||
DESIRED_PYTHON: "3.9"
|
||||
build_name: libtorch-cuda12_4-shared-with-deps-debug
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
uses: ./.github/workflows/_binary-upload.yml
|
||||
libtorch-cuda12_6-shared-with-deps-debug-build:
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
needs: get-label-type
|
||||
|
|
|
|||
249
.github/workflows/generated-windows-binary-libtorch-release-nightly.yml
generated
vendored
249
.github/workflows/generated-windows-binary-libtorch-release-nightly.yml
generated
vendored
|
|
@ -535,6 +535,255 @@ jobs:
|
|||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
uses: ./.github/workflows/_binary-upload.yml
|
||||
libtorch-cuda12_4-shared-with-deps-release-build:
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
needs: get-label-type
|
||||
runs-on: "${{ needs.get-label-type.outputs.label-type }}windows.4xlarge"
|
||||
timeout-minutes: 300
|
||||
env:
|
||||
PYTORCH_ROOT: ${{ github.workspace }}/pytorch
|
||||
PACKAGE_TYPE: libtorch
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
SKIP_ALL_TESTS: 1
|
||||
LIBTORCH_CONFIG: release
|
||||
LIBTORCH_VARIANT: shared-with-deps
|
||||
# This is a dummy value for libtorch to work correctly with our batch scripts
|
||||
# without this value pip does not get installed for some reason
|
||||
DESIRED_PYTHON: "3.9"
|
||||
steps:
|
||||
- name: Display EC2 information
|
||||
shell: bash
|
||||
run: |
|
||||
set -euo pipefail
|
||||
function get_ec2_metadata() {
|
||||
# Pulled from instance metadata endpoint for EC2
|
||||
# see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
|
||||
category=$1
|
||||
curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}"
|
||||
}
|
||||
echo "ami-id: $(get_ec2_metadata ami-id)"
|
||||
echo "instance-id: $(get_ec2_metadata instance-id)"
|
||||
echo "instance-type: $(get_ec2_metadata instance-type)"
|
||||
echo "system info $(uname -a)"
|
||||
- name: "[FB EMPLOYEES] Enable SSH (Click me for login details)"
|
||||
uses: pytorch/test-infra/.github/actions/setup-ssh@main
|
||||
continue-on-error: true
|
||||
with:
|
||||
github-secret: ${{ secrets.GITHUB_TOKEN }}
|
||||
- name: Enable git long paths and symlinks on Windows and disable fsmonitor daemon
|
||||
shell: bash
|
||||
run: |
|
||||
git config --global core.longpaths true
|
||||
git config --global core.symlinks true
|
||||
|
||||
# https://git-scm.com/docs/git-fsmonitor--daemon. The daemon could lock
|
||||
# the directory on Windows and prevent GHA from checking out as reported
|
||||
# in https://github.com/actions/checkout/issues/1018
|
||||
git config --global core.fsmonitor false
|
||||
# Needed for binary builds, see: https://github.com/pytorch/pytorch/issues/73339#issuecomment-1058981560
|
||||
- name: Enable long paths on Windows
|
||||
shell: powershell
|
||||
run: |
|
||||
Set-ItemProperty -Path "HKLM:\\SYSTEM\CurrentControlSet\Control\FileSystem" -Name "LongPathsEnabled" -Value 1
|
||||
# Since it's just a defensive command, the workflow should continue even the command fails. This step can be
|
||||
# removed once Windows Defender is removed from the AMI
|
||||
- name: Disables Windows Defender scheduled and real-time scanning for files in directories used by PyTorch
|
||||
continue-on-error: true
|
||||
shell: powershell
|
||||
run: |
|
||||
Add-MpPreference -ExclusionPath $(Get-Location).tostring(),$Env:TEMP -ErrorAction Ignore
|
||||
# Let's both exclude the path and disable Windows Defender completely just to be sure
|
||||
# that it doesn't interfere
|
||||
Set-MpPreference -DisableRealtimeMonitoring $True -ErrorAction Ignore
|
||||
# NOTE: These environment variables are put here so that they can be applied on every job equally
|
||||
# They are also here because setting them at a workflow level doesn't give us access to the
|
||||
# runner.temp variable, which we need.
|
||||
- name: Populate binary env
|
||||
shell: bash
|
||||
run: |
|
||||
echo "BINARY_ENV_FILE=${RUNNER_TEMP}/env" >> "${GITHUB_ENV}"
|
||||
echo "PYTORCH_FINAL_PACKAGE_DIR=${RUNNER_TEMP}/artifacts" >> "${GITHUB_ENV}"
|
||||
echo "WIN_PACKAGE_WORK_DIR=${RUNNER_TEMP}"
|
||||
- name: Checkout PyTorch
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
|
||||
submodules: recursive
|
||||
path: pytorch
|
||||
show-progress: false
|
||||
- name: Clean PyTorch checkout
|
||||
run: |
|
||||
# Remove any artifacts from the previous checkouts
|
||||
git clean -fxd
|
||||
working-directory: pytorch
|
||||
- name: Populate binary env
|
||||
shell: bash
|
||||
run: |
|
||||
"${PYTORCH_ROOT}/.circleci/scripts/binary_populate_env.sh"
|
||||
- name: Build PyTorch binary
|
||||
shell: bash
|
||||
run: |
|
||||
"${PYTORCH_ROOT}/.circleci/scripts/binary_windows_build.sh"
|
||||
- uses: actions/upload-artifact@v4.4.0
|
||||
if: always()
|
||||
with:
|
||||
name: libtorch-cuda12_4-shared-with-deps-release
|
||||
retention-days: 14
|
||||
if-no-files-found: error
|
||||
path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
|
||||
- name: Wait until all sessions have drained
|
||||
shell: powershell
|
||||
working-directory: pytorch
|
||||
if: always()
|
||||
timeout-minutes: 120
|
||||
run: |
|
||||
.github\scripts\wait_for_ssh_to_drain.ps1
|
||||
- name: Kill active ssh sessions if still around (Useful if workflow was cancelled)
|
||||
shell: powershell
|
||||
working-directory: pytorch
|
||||
if: always()
|
||||
run: |
|
||||
.github\scripts\kill_active_ssh_sessions.ps1
|
||||
libtorch-cuda12_4-shared-with-deps-release-test: # Testing
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
needs:
|
||||
- libtorch-cuda12_4-shared-with-deps-release-build
|
||||
- get-label-type
|
||||
runs-on: "${{ needs.get-label-type.outputs.label-type }}windows.g4dn.xlarge"
|
||||
timeout-minutes: 300
|
||||
env:
|
||||
PYTORCH_ROOT: ${{ github.workspace }}/pytorch
|
||||
PACKAGE_TYPE: libtorch
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
SKIP_ALL_TESTS: 1
|
||||
LIBTORCH_CONFIG: release
|
||||
LIBTORCH_VARIANT: shared-with-deps
|
||||
# This is a dummy value for libtorch to work correctly with our batch scripts
|
||||
# without this value pip does not get installed for some reason
|
||||
DESIRED_PYTHON: "3.9"
|
||||
steps:
|
||||
- name: Display EC2 information
|
||||
shell: bash
|
||||
run: |
|
||||
set -euo pipefail
|
||||
function get_ec2_metadata() {
|
||||
# Pulled from instance metadata endpoint for EC2
|
||||
# see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
|
||||
category=$1
|
||||
curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}"
|
||||
}
|
||||
echo "ami-id: $(get_ec2_metadata ami-id)"
|
||||
echo "instance-id: $(get_ec2_metadata instance-id)"
|
||||
echo "instance-type: $(get_ec2_metadata instance-type)"
|
||||
echo "system info $(uname -a)"
|
||||
- name: "[FB EMPLOYEES] Enable SSH (Click me for login details)"
|
||||
uses: pytorch/test-infra/.github/actions/setup-ssh@main
|
||||
continue-on-error: true
|
||||
with:
|
||||
github-secret: ${{ secrets.GITHUB_TOKEN }}
|
||||
- name: Enable git long paths and symlinks on Windows and disable fsmonitor daemon
|
||||
shell: bash
|
||||
run: |
|
||||
git config --global core.longpaths true
|
||||
git config --global core.symlinks true
|
||||
|
||||
# https://git-scm.com/docs/git-fsmonitor--daemon. The daemon could lock
|
||||
# the directory on Windows and prevent GHA from checking out as reported
|
||||
# in https://github.com/actions/checkout/issues/1018
|
||||
git config --global core.fsmonitor false
|
||||
# Needed for binary builds, see: https://github.com/pytorch/pytorch/issues/73339#issuecomment-1058981560
|
||||
- name: Enable long paths on Windows
|
||||
shell: powershell
|
||||
run: |
|
||||
Set-ItemProperty -Path "HKLM:\\SYSTEM\CurrentControlSet\Control\FileSystem" -Name "LongPathsEnabled" -Value 1
|
||||
# Since it's just a defensive command, the workflow should continue even the command fails. This step can be
|
||||
# removed once Windows Defender is removed from the AMI
|
||||
- name: Disables Windows Defender scheduled and real-time scanning for files in directories used by PyTorch
|
||||
continue-on-error: true
|
||||
shell: powershell
|
||||
run: |
|
||||
Add-MpPreference -ExclusionPath $(Get-Location).tostring(),$Env:TEMP -ErrorAction Ignore
|
||||
# Let's both exclude the path and disable Windows Defender completely just to be sure
|
||||
# that it doesn't interfere
|
||||
Set-MpPreference -DisableRealtimeMonitoring $True -ErrorAction Ignore
|
||||
# NOTE: These environment variables are put here so that they can be applied on every job equally
|
||||
# They are also here because setting them at a workflow level doesn't give us access to the
|
||||
# runner.temp variable, which we need.
|
||||
- name: Populate binary env
|
||||
shell: bash
|
||||
run: |
|
||||
echo "BINARY_ENV_FILE=${RUNNER_TEMP}/env" >> "${GITHUB_ENV}"
|
||||
echo "PYTORCH_FINAL_PACKAGE_DIR=${RUNNER_TEMP}/artifacts" >> "${GITHUB_ENV}"
|
||||
echo "WIN_PACKAGE_WORK_DIR=${RUNNER_TEMP}"
|
||||
- uses: actions/download-artifact@v4.1.7
|
||||
name: Download Build Artifacts
|
||||
with:
|
||||
name: libtorch-cuda12_4-shared-with-deps-release
|
||||
path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
|
||||
- name: Checkout PyTorch
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
|
||||
submodules: recursive
|
||||
path: pytorch
|
||||
show-progress: false
|
||||
- name: Clean PyTorch checkout
|
||||
run: |
|
||||
# Remove any artifacts from the previous checkouts
|
||||
git clean -fxd
|
||||
working-directory: pytorch
|
||||
- name: Populate binary env
|
||||
shell: bash
|
||||
run: |
|
||||
"${PYTORCH_ROOT}/.circleci/scripts/binary_populate_env.sh"
|
||||
- name: Test PyTorch binary
|
||||
shell: bash
|
||||
run: |
|
||||
"${PYTORCH_ROOT}/.circleci/scripts/binary_windows_test.sh"
|
||||
- name: Wait until all sessions have drained
|
||||
shell: powershell
|
||||
working-directory: pytorch
|
||||
if: always()
|
||||
timeout-minutes: 120
|
||||
run: |
|
||||
.github\scripts\wait_for_ssh_to_drain.ps1
|
||||
- name: Kill active ssh sessions if still around (Useful if workflow was cancelled)
|
||||
shell: powershell
|
||||
working-directory: pytorch
|
||||
if: always()
|
||||
run: |
|
||||
.github\scripts\kill_active_ssh_sessions.ps1
|
||||
libtorch-cuda12_4-shared-with-deps-release-upload: # Uploading
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
permissions:
|
||||
id-token: write
|
||||
contents: read
|
||||
needs: libtorch-cuda12_4-shared-with-deps-release-test
|
||||
with:
|
||||
PYTORCH_ROOT: ${{ github.workspace }}/pytorch
|
||||
PACKAGE_TYPE: libtorch
|
||||
# TODO: This is a legacy variable that we eventually want to get rid of in
|
||||
# favor of GPU_ARCH_VERSION
|
||||
DESIRED_CUDA: cu124
|
||||
GPU_ARCH_VERSION: 12.4
|
||||
GPU_ARCH_TYPE: cuda
|
||||
LIBTORCH_CONFIG: release
|
||||
LIBTORCH_VARIANT: shared-with-deps
|
||||
# This is a dummy value for libtorch to work correctly with our batch scripts
|
||||
# without this value pip does not get installed for some reason
|
||||
DESIRED_PYTHON: "3.9"
|
||||
build_name: libtorch-cuda12_4-shared-with-deps-release
|
||||
secrets:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
uses: ./.github/workflows/_binary-upload.yml
|
||||
libtorch-cuda12_6-shared-with-deps-release-build:
|
||||
if: ${{ github.repository_owner == 'pytorch' }}
|
||||
needs: get-label-type
|
||||
|
|
|
|||
1476
.github/workflows/generated-windows-binary-wheel-nightly.yml
generated
vendored
1476
.github/workflows/generated-windows-binary-wheel-nightly.yml
generated
vendored
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Reference in New Issue
Block a user