Skip to content

Don't add non-integer Triton kernel arg 1 to equal_to_1 (#123886) #1

Don't add non-integer Triton kernel arg 1 to equal_to_1 (#123886)

Don't add non-integer Triton kernel arg 1 to equal_to_1 (#123886) #1

Workflow file for this run

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:
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
# Build PyTorch with BUILD_CAFFE2=ON
caffe2-linux-jammy-py3_8-gcc11-build:
name: caffe2-linux-jammy-py3.8-gcc11
uses: ./.github/workflows/_linux-build.yml
with:
build-environment: caffe2-linux-jammy-py3.8-gcc11
docker-image-name: pytorch-linux-jammy-py3.8-gcc11
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 1 },
]}
linux-focal-cuda12_1-py3_10-gcc9-build:
name: linux-focal-cuda12.1-py3.10-gcc9
uses: ./.github/workflows/_linux-build.yml
with:
build-environment: linux-focal-cuda12.1-py3.10-gcc9
docker-image-name: pytorch-linux-focal-cuda12.1-cudnn8-py3-gcc9
test-matrix: |
{ include: [
{ config: "nogpu_AVX512", shard: 1, num_shards: 1, runner: "linux.2xlarge" },
{ config: "nogpu_NO_AVX2", shard: 1, num_shards: 1, runner: "linux.2xlarge" },
{ config: "jit_legacy", shard: 1, num_shards: 1, runner: "linux.4xlarge.nvidia.gpu" },
]}
linux-focal-cuda12_1-py3_10-gcc9-test:
name: linux-focal-cuda12.1-py3.10-gcc9
uses: ./.github/workflows/_linux-test.yml
needs:
- linux-focal-cuda12_1-py3_10-gcc9-build
- target-determination
with:
build-environment: linux-focal-cuda12.1-py3.10-gcc9
docker-image: ${{ needs.linux-focal-cuda12_1-py3_10-gcc9-build.outputs.docker-image }}
test-matrix: ${{ needs.linux-focal-cuda12_1-py3_10-gcc9-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
with:
build-environment: libtorch-linux-focal-cuda12.1-py3.7-gcc9
docker-image-name: pytorch-linux-focal-cuda12.1-cudnn8-py3-gcc9
build-generates-artifacts: false
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
with:
build-environment: linux-focal-cuda12.1-py3.10-gcc9-no-ops
docker-image-name: pytorch-linux-focal-cuda12.1-cudnn8-py3-gcc9
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 1 },
]}
pytorch-linux-focal-py3-clang9-android-ndk-r21e-build:
name: pytorch-linux-focal-py3-clang9-android-ndk-r21e-build
uses: ./.github/workflows/_android-full-build-test.yml
with:
build-environment: pytorch-linux-focal-py3-clang9-android-ndk-r21e-build
docker-image-name: pytorch-linux-focal-py3-clang9-android-ndk-r21e
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 1, runner: "linux.2xlarge" },
]}
macos-12-py3-arm64-build:
name: macos-12-py3-arm64
uses: ./.github/workflows/_mac-build.yml
with:
sync-tag: macos-12-py3-arm64-build
build-environment: macos-12-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
# We need to set the environment file here instead of trying to detect it automatically because
# MacOS arm64 is cross-compiled from x86-64. Specifically, it means that arm64 conda environment
# is needed when building PyTorch MacOS arm64 from x86-64
environment-file: .github/requirements/conda-env-macOS-ARM64
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-12-py3-arm64-mps-test:
name: macos-12-py3-arm64-mps
uses: ./.github/workflows/_mac-test-mps.yml
needs: macos-12-py3-arm64-build
if: needs.macos-12-py3-arm64-build.outputs.build-outcome == 'success'
with:
sync-tag: macos-12-py3-arm64-mps-test
build-environment: macos-12-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-stable" },
]}
macos-12-py3-arm64-test:
name: macos-12-py3-arm64
uses: ./.github/workflows/_mac-test.yml
needs:
- macos-12-py3-arm64-build
- target-determination
with:
build-environment: macos-12-py3-arm64
# Same as the build job
python-version: 3.9.12
test-matrix: ${{ needs.macos-12-py3-arm64-build.outputs.test-matrix }}
arch: arm64
win-vs2019-cpu-py3-build:
name: win-vs2019-cpu-py3
uses: ./.github/workflows/_win-build.yml
with:
build-environment: win-vs2019-cpu-py3
cuda-version: cpu
sync-tag: win-cpu-build
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 3, runner: "windows.4xlarge.nonephemeral" },
{ config: "default", shard: 2, num_shards: 3, runner: "windows.4xlarge.nonephemeral" },
{ config: "default", shard: 3, num_shards: 3, runner: "windows.4xlarge.nonephemeral" },
]}
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-cuda11_8-py3-build:
name: win-vs2019-cuda11.8-py3
uses: ./.github/workflows/_win-build.yml
with:
build-environment: win-vs2019-cuda11.8-py3
cuda-version: "11.8"
sync-tag: win-cuda-build
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 6, runner: "windows.g5.4xlarge.nvidia.gpu" },
{ config: "default", shard: 2, num_shards: 6, runner: "windows.g5.4xlarge.nvidia.gpu" },
{ config: "default", shard: 3, num_shards: 6, runner: "windows.g5.4xlarge.nvidia.gpu" },
{ config: "default", shard: 4, num_shards: 6, runner: "windows.g5.4xlarge.nvidia.gpu" },
{ config: "default", shard: 5, num_shards: 6, runner: "windows.g5.4xlarge.nvidia.gpu" },
{ config: "default", shard: 6, num_shards: 6, runner: "windows.g5.4xlarge.nvidia.gpu" },
{ config: "force_on_cpu", shard: 1, num_shards: 1, runner: "windows.4xlarge.nonephemeral" },
]}
linux-focal-rocm6_0-py3_8-build:
name: linux-focal-rocm6.0-py3.8
uses: ./.github/workflows/_linux-build-label.yml
with:
build-environment: linux-focal-rocm6.0-py3.8
docker-image-name: pytorch-linux-focal-rocm-n-py3
sync-tag: rocm-build
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 1, runner: "linux.rocm.gpu" },
]}
linux-focal-rocm6_0-py3_8-test:
permissions:
id-token: write
contents: read
name: linux-focal-rocm6.0-py3.8
uses: ./.github/workflows/_rocm-test.yml
needs:
- linux-focal-rocm6_0-py3_8-build
- target-determination
with:
build-environment: linux-focal-rocm6.0-py3.8
docker-image: ${{ needs.linux-focal-rocm6_0-py3_8-build.outputs.docker-image }}
test-matrix: ${{ needs.linux-focal-rocm6_0-py3_8-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"