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Point triton pin to rc/3.2.x branch #1

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Point triton pin to rc/3.2.x branch

Point triton pin to rc/3.2.x branch #1

Workflow file for this run

.github/workflows/trunk.yml at c1ad437
name: trunk
on:
push:
branches:
- main
- release/*
- landchecks/*
tags:
- ciflow/trunk/*
workflow_dispatch:
schedule:
- cron: 29 8 * * * # about 1:29am PDT
concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref_name }}-${{ github.ref_type == 'branch' && github.sha }}-${{ github.event_name == 'workflow_dispatch' }}-${{ github.event_name == 'schedule' }}
cancel-in-progress: true
permissions: read-all
jobs:
llm-td:
if: github.repository_owner == 'pytorch'
name: before-test
uses: ./.github/workflows/llm_td_retrieval.yml
permissions:
id-token: write
contents: read
target-determination:
name: before-test
uses: ./.github/workflows/target_determination.yml
needs: llm-td
permissions:
id-token: write
contents: read
get-label-type:
name: get-label-type
uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@main
if: ${{ (github.event_name != 'schedule' || github.repository == 'pytorch/pytorch') && github.repository_owner == 'pytorch' }}
with:
triggering_actor: ${{ github.triggering_actor }}
issue_owner: ${{ github.event.pull_request.user.login || github.event.issue.user.login }}
curr_branch: ${{ github.head_ref || github.ref_name }}
curr_ref_type: ${{ github.ref_type }}
linux-focal-cuda12_4-py3_10-gcc9-sm86-build:
name: linux-focal-cuda12.4-py3.10-gcc9-sm86
uses: ./.github/workflows/_linux-build.yml
needs: get-label-type
with:
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
build-environment: linux-focal-cuda12.4-py3.10-gcc9-sm86
docker-image-name: pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9
cuda-arch-list: 8.6
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 5, runner: "${{ needs.get-label-type.outputs.label-type }}linux.g5.4xlarge.nvidia.gpu" },
{ config: "default", shard: 2, num_shards: 5, runner: "${{ needs.get-label-type.outputs.label-type }}linux.g5.4xlarge.nvidia.gpu" },
{ config: "default", shard: 3, num_shards: 5, runner: "${{ needs.get-label-type.outputs.label-type }}linux.g5.4xlarge.nvidia.gpu" },
{ config: "default", shard: 4, num_shards: 5, runner: "${{ needs.get-label-type.outputs.label-type }}linux.g5.4xlarge.nvidia.gpu" },
{ config: "default", shard: 5, num_shards: 5, runner: "${{ needs.get-label-type.outputs.label-type }}linux.g5.4xlarge.nvidia.gpu" },
]}
linux-focal-cuda12_4-py3_10-gcc9-sm86-test:
name: linux-focal-cuda12.4-py3.10-gcc9-sm86
uses: ./.github/workflows/_linux-test.yml
needs:
- linux-focal-cuda12_4-py3_10-gcc9-sm86-build
- target-determination
with:
build-environment: linux-focal-cuda12.4-py3.10-gcc9-sm86
docker-image: ${{ needs.linux-focal-cuda12_4-py3_10-gcc9-sm86-build.outputs.docker-image }}
test-matrix: ${{ needs.linux-focal-cuda12_4-py3_10-gcc9-sm86-build.outputs.test-matrix }}
libtorch-linux-focal-cuda12_1-py3_7-gcc9-debug-build:
name: libtorch-linux-focal-cuda12.1-py3.7-gcc9-debug
uses: ./.github/workflows/_linux-build.yml
needs: get-label-type
with:
build-environment: libtorch-linux-focal-cuda12.1-py3.7-gcc9
docker-image-name: pytorch-linux-focal-cuda12.1-cudnn9-py3-gcc9
build-generates-artifacts: false
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
runner: "linux.4xlarge"
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 1 },
]}
# no-ops builds test USE_PER_OPERATOR_HEADERS=0 where ATen/ops is not generated
linux-focal-cuda12_1-py3_10-gcc9-no-ops-build:
name: linux-focal-cuda12.1-py3.10-gcc9-no-ops
uses: ./.github/workflows/_linux-build.yml
needs: get-label-type
with:
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
build-environment: linux-focal-cuda12.1-py3.10-gcc9-no-ops
docker-image-name: pytorch-linux-focal-cuda12.1-cudnn9-py3-gcc9
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 1 },
]}
libtorch-linux-focal-cuda12_4-py3_7-gcc9-debug-build:
name: libtorch-linux-focal-cuda12.4-py3.7-gcc9-debug
uses: ./.github/workflows/_linux-build.yml
needs: get-label-type
with:
build-environment: libtorch-linux-focal-cuda12.4-py3.7-gcc9
docker-image-name: pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9
build-generates-artifacts: false
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
runner: "linux.4xlarge"
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 1 },
]}
# no-ops builds test USE_PER_OPERATOR_HEADERS=0 where ATen/ops is not generated
linux-focal-cuda12_4-py3_10-gcc9-no-ops-build:
name: linux-focal-cuda12.4-py3.10-gcc9-no-ops
uses: ./.github/workflows/_linux-build.yml
needs: get-label-type
with:
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
build-environment: linux-focal-cuda12.4-py3.10-gcc9-no-ops
docker-image-name: pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 1 },
]}
macos-py3-arm64-build:
if: github.repository_owner == 'pytorch'
name: macos-py3-arm64
uses: ./.github/workflows/_mac-build.yml
with:
sync-tag: macos-py3-arm64-build
build-environment: macos-py3-arm64
runner-type: macos-m1-stable
build-generates-artifacts: true
# To match the one pre-installed in the m1 runners
python-version: 3.9.12
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 3, runner: "macos-m1-stable" },
{ config: "default", shard: 2, num_shards: 3, runner: "macos-m1-stable" },
{ config: "default", shard: 3, num_shards: 3, runner: "macos-m1-stable" },
]}
macos-py3-arm64-mps-test:
name: macos-py3-arm64-mps
uses: ./.github/workflows/_mac-test-mps.yml
needs: macos-py3-arm64-build
if: needs.macos-py3-arm64-build.outputs.build-outcome == 'success'
with:
sync-tag: macos-py3-arm64-mps-test
build-environment: macos-py3-arm64
# Same as the build job
python-version: 3.9.12
test-matrix: |
{ include: [
{ config: "mps", shard: 1, num_shards: 1, runner: "macos-m1-13" },
{ config: "mps", shard: 1, num_shards: 1, runner: "macos-m1-14" },
]}
macos-py3-arm64-test:
name: macos-py3-arm64
uses: ./.github/workflows/_mac-test.yml
needs:
- macos-py3-arm64-build
- target-determination
with:
build-environment: macos-py3-arm64
# Same as the build job
python-version: 3.9.12
test-matrix: ${{ needs.macos-py3-arm64-build.outputs.test-matrix }}
win-vs2019-cpu-py3-build:
name: win-vs2019-cpu-py3
uses: ./.github/workflows/_win-build.yml
needs: get-label-type
with:
build-environment: win-vs2019-cpu-py3
cuda-version: cpu
sync-tag: win-cpu-build
runner: "${{ needs.get-label-type.outputs.label-type }}windows.4xlarge.nonephemeral"
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 3, runner: "${{ needs.get-label-type.outputs.label-type }}windows.4xlarge.nonephemeral" },
{ config: "default", shard: 2, num_shards: 3, runner: "${{ needs.get-label-type.outputs.label-type }}windows.4xlarge.nonephemeral" },
{ config: "default", shard: 3, num_shards: 3, runner: "${{ needs.get-label-type.outputs.label-type }}windows.4xlarge.nonephemeral" },
]}
secrets: inherit
win-vs2019-cpu-py3-test:
name: win-vs2019-cpu-py3
uses: ./.github/workflows/_win-test.yml
needs:
- win-vs2019-cpu-py3-build
- target-determination
with:
build-environment: win-vs2019-cpu-py3
cuda-version: cpu
test-matrix: ${{ needs.win-vs2019-cpu-py3-build.outputs.test-matrix }}
win-vs2019-cuda12_1-py3-build:
name: win-vs2019-cuda12.1-py3
uses: ./.github/workflows/_win-build.yml
needs: get-label-type
with:
build-environment: win-vs2019-cuda12.1-py3
cuda-version: "12.1"
runner: "${{ needs.get-label-type.outputs.label-type }}windows.4xlarge.nonephemeral"
linux-focal-rocm6_2-py3_10-build:
name: linux-focal-rocm6.2-py3.10
uses: ./.github/workflows/_linux-build.yml
needs: get-label-type
with:
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
build-environment: linux-focal-rocm6.2-py3.10
docker-image-name: pytorch-linux-focal-rocm-n-py3
sync-tag: rocm-build
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 2, runner: "linux.rocm.gpu" },
{ config: "default", shard: 2, num_shards: 2, runner: "linux.rocm.gpu" },
{ config: "distributed", shard: 1, num_shards: 1, runner: "linux.rocm.gpu" },
]}
secrets: inherit
linux-focal-rocm6_2-py3_10-test:
permissions:
id-token: write
contents: read
name: linux-focal-rocm6.2-py3.10
uses: ./.github/workflows/_rocm-test.yml
needs:
- linux-focal-rocm6_2-py3_10-build
- target-determination
with:
build-environment: linux-focal-rocm6.2-py3.10
docker-image: ${{ needs.linux-focal-rocm6_2-py3_10-build.outputs.docker-image }}
test-matrix: ${{ needs.linux-focal-rocm6_2-py3_10-build.outputs.test-matrix }}
tests-to-include: "test_nn test_torch test_cuda test_ops test_unary_ufuncs test_binary_ufuncs test_autograd inductor/test_torchinductor distributed/test_c10d_common distributed/test_c10d_nccl"
linux-focal-cuda12_4-py3_10-gcc9-experimental-split-build:
if: false # See https://github.com/pytorch/pytorch/issues/138750
name: linux-focal-cuda12.4-py3.10-gcc9-experimental-split-build
uses: ./.github/workflows/_linux-build.yml
needs: get-label-type
with:
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
use_split_build: true
build-environment: linux-focal-cuda12.4-py3.10-gcc9
docker-image-name: pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9
test-matrix: |
{ include: [
{ config: "nogpu_AVX512", shard: 1, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.4xlarge" },
{ config: "nogpu_AVX512", shard: 2, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.4xlarge" },
{ config: "nogpu_NO_AVX2", shard: 1, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.4xlarge" },
{ config: "nogpu_NO_AVX2", shard: 2, num_shards: 2, runner: "${{ needs.get-label-type.outputs.label-type }}linux.4xlarge" },
{ config: "jit_legacy", shard: 1, num_shards: 1, runner: "${{ needs.get-label-type.outputs.label-type }}linux.4xlarge.nvidia.gpu" },
{ config: "default", shard: 1, num_shards: 5, runner: "${{ needs.get-label-type.outputs.label-type }}linux.4xlarge.nvidia.gpu" },
{ config: "default", shard: 2, num_shards: 5, runner: "${{ needs.get-label-type.outputs.label-type }}linux.4xlarge.nvidia.gpu" },
{ config: "default", shard: 3, num_shards: 5, runner: "${{ needs.get-label-type.outputs.label-type }}linux.4xlarge.nvidia.gpu" },
{ config: "default", shard: 4, num_shards: 5, runner: "${{ needs.get-label-type.outputs.label-type }}linux.4xlarge.nvidia.gpu" },
{ config: "default", shard: 5, num_shards: 5, runner: "${{ needs.get-label-type.outputs.label-type }}linux.4xlarge.nvidia.gpu" },
]}
linux-focal-cuda12_4-py3_10-gcc9-experimental-split-build-test:
name: linux-focal-cuda12.4-py3.10-gcc9-experimental-split-build-test
uses: ./.github/workflows/_linux-test.yml
needs:
- linux-focal-cuda12_4-py3_10-gcc9-experimental-split-build
- target-determination
with:
build-environment: linux-focal-cuda12.4-py3.10-gcc9-experimental-split-build
docker-image: ${{ needs.linux-focal-cuda12_4-py3_10-gcc9-experimental-split-build.outputs.docker-image }}
test-matrix: ${{ needs.linux-focal-cuda12_4-py3_10-gcc9-experimental-split-build.outputs.test-matrix }}