"label_rules": {
"ciflow/all": [
"libtorch-linux-xenial-cuda10.2-py3.6-gcc7",
- "libtorch-linux-xenial-cuda11.1-py3.6-gcc7",
+ "libtorch-linux-xenial-cuda11.3-py3.6-gcc7",
"linux-bionic-cuda10.2-py3.9-gcc7",
"linux-bionic-py3.8-gcc9-coverage",
"linux-xenial-cuda10.2-py3.6-gcc7",
- "linux-xenial-cuda11.1-py3.6-gcc7",
+ "linux-xenial-cuda11.3-py3.6-gcc7",
"linux-xenial-py3.6-gcc5.4",
"linux-xenial-py3.6-gcc7-bazel-test",
- "periodic-libtorch-linux-xenial-cuda11.3-py3.6-gcc7",
- "periodic-linux-xenial-cuda11.3-py3.6-gcc7",
- "periodic-win-vs2019-cuda11.3-py3",
+ "periodic-libtorch-linux-xenial-cuda11.1-py3.6-gcc7",
+ "periodic-linux-xenial-cuda11.1-py3.6-gcc7",
+ "periodic-win-vs2019-cuda11.1-py3",
"win-vs2019-cpu-py3",
"win-vs2019-cuda10.1-py3",
- "win-vs2019-cuda11.1-py3"
+ "win-vs2019-cuda11.3-py3"
],
"ciflow/bazel": [
"linux-xenial-py3.6-gcc7-bazel-test"
],
"ciflow/cuda": [
"libtorch-linux-xenial-cuda10.2-py3.6-gcc7",
- "libtorch-linux-xenial-cuda11.1-py3.6-gcc7",
+ "libtorch-linux-xenial-cuda11.3-py3.6-gcc7",
"linux-bionic-cuda10.2-py3.9-gcc7",
"linux-xenial-cuda10.2-py3.6-gcc7",
- "linux-xenial-cuda11.1-py3.6-gcc7",
- "periodic-libtorch-linux-xenial-cuda11.3-py3.6-gcc7",
- "periodic-linux-xenial-cuda11.3-py3.6-gcc7",
- "periodic-win-vs2019-cuda11.3-py3",
+ "linux-xenial-cuda11.3-py3.6-gcc7",
+ "periodic-libtorch-linux-xenial-cuda11.1-py3.6-gcc7",
+ "periodic-linux-xenial-cuda11.1-py3.6-gcc7",
+ "periodic-win-vs2019-cuda11.1-py3",
"win-vs2019-cuda10.1-py3",
- "win-vs2019-cuda11.1-py3"
+ "win-vs2019-cuda11.3-py3"
],
"ciflow/default": [
"linux-bionic-py3.8-gcc9-coverage",
- "linux-xenial-cuda11.1-py3.6-gcc7",
+ "linux-xenial-cuda11.3-py3.6-gcc7",
"linux-xenial-py3.6-gcc5.4",
"linux-xenial-py3.6-gcc7-bazel-test",
"win-vs2019-cpu-py3",
],
"ciflow/libtorch": [
"libtorch-linux-xenial-cuda10.2-py3.6-gcc7",
- "libtorch-linux-xenial-cuda11.1-py3.6-gcc7",
- "periodic-libtorch-linux-xenial-cuda11.3-py3.6-gcc7"
+ "libtorch-linux-xenial-cuda11.3-py3.6-gcc7",
+ "periodic-libtorch-linux-xenial-cuda11.1-py3.6-gcc7"
],
"ciflow/linux": [
"libtorch-linux-xenial-cuda10.2-py3.6-gcc7",
- "libtorch-linux-xenial-cuda11.1-py3.6-gcc7",
+ "libtorch-linux-xenial-cuda11.3-py3.6-gcc7",
"linux-bionic-cuda10.2-py3.9-gcc7",
"linux-bionic-py3.8-gcc9-coverage",
"linux-xenial-cuda10.2-py3.6-gcc7",
- "linux-xenial-cuda11.1-py3.6-gcc7",
+ "linux-xenial-cuda11.3-py3.6-gcc7",
"linux-xenial-py3.6-gcc5.4",
"linux-xenial-py3.6-gcc7-bazel-test",
- "periodic-libtorch-linux-xenial-cuda11.3-py3.6-gcc7",
- "periodic-linux-xenial-cuda11.3-py3.6-gcc7"
+ "periodic-libtorch-linux-xenial-cuda11.1-py3.6-gcc7",
+ "periodic-linux-xenial-cuda11.1-py3.6-gcc7"
],
"ciflow/scheduled": [
- "periodic-libtorch-linux-xenial-cuda11.3-py3.6-gcc7",
- "periodic-linux-xenial-cuda11.3-py3.6-gcc7",
- "periodic-win-vs2019-cuda11.3-py3"
+ "periodic-libtorch-linux-xenial-cuda11.1-py3.6-gcc7",
+ "periodic-linux-xenial-cuda11.1-py3.6-gcc7",
+ "periodic-win-vs2019-cuda11.1-py3"
],
"ciflow/slow": [
"linux-bionic-cuda10.2-py3.9-gcc7",
"linux-xenial-cuda10.2-py3.6-gcc7"
],
"ciflow/win": [
- "periodic-win-vs2019-cuda11.3-py3",
+ "periodic-win-vs2019-cuda11.1-py3",
"win-vs2019-cpu-py3",
"win-vs2019-cuda10.1-py3",
- "win-vs2019-cuda11.1-py3"
+ "win-vs2019-cuda11.3-py3"
]
},
"version": "v1"
),
CIWorkflow(
arch="windows",
- build_environment="win-vs2019-cuda11.1-py3",
- cuda_version="11.1",
+ build_environment="win-vs2019-cuda11.3-py3",
+ cuda_version="11.3",
test_runner_type=WINDOWS_CUDA_TEST_RUNNER,
num_test_shards=2,
on_pull_request=True,
),
CIWorkflow(
arch="windows",
- build_environment="periodic-win-vs2019-cuda11.3-py3",
- cuda_version="11.3",
+ build_environment="periodic-win-vs2019-cuda11.1-py3",
+ cuda_version="11.1",
test_runner_type=WINDOWS_CUDA_TEST_RUNNER,
num_test_shards=2,
is_scheduled="45 0,4,8,12,16,20 * * *",
),
CIWorkflow(
arch="linux",
- build_environment="linux-xenial-cuda11.1-py3.6-gcc7",
- docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-cuda11.1-cudnn8-py3-gcc7",
+ build_environment="linux-xenial-cuda11.3-py3.6-gcc7",
+ docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7",
test_runner_type=LINUX_CUDA_TEST_RUNNER,
num_test_shards=2,
on_pull_request=True,
),
CIWorkflow(
arch="linux",
- build_environment="libtorch-linux-xenial-cuda11.1-py3.6-gcc7",
- docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-cuda11.1-cudnn8-py3-gcc7",
+ build_environment="libtorch-linux-xenial-cuda11.3-py3.6-gcc7",
+ docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7",
test_runner_type=LINUX_CUDA_TEST_RUNNER,
is_libtorch=True,
on_pull_request=True,
),
CIWorkflow(
arch="linux",
- build_environment="periodic-linux-xenial-cuda11.3-py3.6-gcc7",
- docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7",
+ build_environment="periodic-linux-xenial-cuda11.1-py3.6-gcc7",
+ docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-cuda11.1-cudnn8-py3-gcc7",
test_runner_type=LINUX_CUDA_TEST_RUNNER,
num_test_shards=2,
is_scheduled="45 0,4,8,12,16,20 * * *",
),
CIWorkflow(
arch="linux",
- build_environment="periodic-libtorch-linux-xenial-cuda11.3-py3.6-gcc7",
- docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7",
+ build_environment="periodic-libtorch-linux-xenial-cuda11.1-py3.6-gcc7",
+ docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-cuda11.1-cudnn8-py3-gcc7",
test_runner_type=LINUX_CUDA_TEST_RUNNER,
is_libtorch=True,
is_scheduled="45 0,4,8,12,16,20 * * *",
# Template is at: .github/templates/linux_ci_workflow.yml.j2
# Generation script: .github/scripts/generate_ci_workflows.py
-name: libtorch-linux-xenial-cuda11.1-py3.6-gcc7
+name: libtorch-linux-xenial-cuda11.3-py3.6-gcc7
on:
pull_request:
workflow_dispatch:
env:
- BUILD_ENVIRONMENT: libtorch-linux-xenial-cuda11.1-py3.6-gcc7
- DOCKER_IMAGE_BASE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-cuda11.1-cudnn8-py3-gcc7
+ BUILD_ENVIRONMENT: libtorch-linux-xenial-cuda11.3-py3.6-gcc7
+ DOCKER_IMAGE_BASE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7
SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
TORCH_CUDA_ARCH_LIST: 5.2
IN_CI: 1
ALPINE_IMAGE: "308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine"
concurrency:
- group: libtorch-linux-xenial-cuda11.1-py3.6-gcc7-${{ github.event.pull_request.number || github.sha }}
+ group: libtorch-linux-xenial-cuda11.3-py3.6-gcc7-${{ github.event.pull_request.number || github.sha }}
cancel-in-progress: true
jobs:
needs: [calculate-docker-image, ciflow_should_run]
env:
DOCKER_IMAGE: ${{ needs.calculate-docker-image.outputs.docker_image }}
- JOB_BASE_NAME: libtorch-linux-xenial-cuda11.1-py3.6-gcc7-build
+ JOB_BASE_NAME: libtorch-linux-xenial-cuda11.3-py3.6-gcc7-build
steps:
- name: Log in to ECR
run: |
# Template is at: .github/templates/linux_ci_workflow.yml.j2
# Generation script: .github/scripts/generate_ci_workflows.py
-name: linux-xenial-cuda11.1-py3.6-gcc7
+name: linux-xenial-cuda11.3-py3.6-gcc7
on:
pull_request:
workflow_dispatch:
env:
- BUILD_ENVIRONMENT: linux-xenial-cuda11.1-py3.6-gcc7
- DOCKER_IMAGE_BASE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-cuda11.1-cudnn8-py3-gcc7
+ BUILD_ENVIRONMENT: linux-xenial-cuda11.3-py3.6-gcc7
+ DOCKER_IMAGE_BASE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7
SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
TORCH_CUDA_ARCH_LIST: 5.2
IN_CI: 1
ALPINE_IMAGE: "308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine"
concurrency:
- group: linux-xenial-cuda11.1-py3.6-gcc7-${{ github.event.pull_request.number || github.sha }}
+ group: linux-xenial-cuda11.3-py3.6-gcc7-${{ github.event.pull_request.number || github.sha }}
cancel-in-progress: true
jobs:
needs: [calculate-docker-image, ciflow_should_run]
env:
DOCKER_IMAGE: ${{ needs.calculate-docker-image.outputs.docker_image }}
- JOB_BASE_NAME: linux-xenial-cuda11.1-py3.6-gcc7-build
+ JOB_BASE_NAME: linux-xenial-cuda11.3-py3.6-gcc7-build
steps:
- name: Log in to ECR
run: |
runs-on: ${{ matrix.runner }}
env:
DOCKER_IMAGE: ${{ needs.calculate-docker-image.outputs.docker_image }}
- JOB_BASE_NAME: linux-xenial-cuda11.1-py3.6-gcc7-test
+ JOB_BASE_NAME: linux-xenial-cuda11.3-py3.6-gcc7-test
TEST_CONFIG: ${{ matrix.config }}
SHARD_NUMBER: ${{ matrix.shard }}
NUM_TEST_SHARDS: ${{ matrix.num_shards }}
env | grep '^GITHUB' > "/tmp/github_env_${GITHUB_RUN_ID}"
- name: Test PyTorch
env:
- BUILD_ENVIRONMENT: linux-xenial-cuda11.1-py3.6-gcc7-${{ matrix.config }}
+ BUILD_ENVIRONMENT: linux-xenial-cuda11.3-py3.6-gcc7-${{ matrix.config }}
PR_NUMBER: ${{ github.event.pull_request.number }}
run: |
if [[ $TEST_CONFIG == 'multigpu' ]]; then
env:
AWS_DEFAULT_REGION: us-east-1
CIRCLE_BRANCH: ${{ steps.parse-ref.outputs.branch }}
- JOB_BASE_NAME: linux-xenial-cuda11.1-py3.6-gcc7-test
+ JOB_BASE_NAME: linux-xenial-cuda11.3-py3.6-gcc7-test
CIRCLE_PR_NUMBER: ${{ github.event.pull_request.number }}
CIRCLE_SHA1: ${{ github.event.pull_request.head.sha || github.sha }}
CIRCLE_TAG: ${{ steps.parse-ref.outputs.tag }}
# Template is at: .github/templates/linux_ci_workflow.yml.j2
# Generation script: .github/scripts/generate_ci_workflows.py
-name: periodic-libtorch-linux-xenial-cuda11.3-py3.6-gcc7
+name: periodic-libtorch-linux-xenial-cuda11.1-py3.6-gcc7
on:
pull_request:
workflow_dispatch:
env:
- BUILD_ENVIRONMENT: periodic-libtorch-linux-xenial-cuda11.3-py3.6-gcc7
- DOCKER_IMAGE_BASE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7
+ BUILD_ENVIRONMENT: periodic-libtorch-linux-xenial-cuda11.1-py3.6-gcc7
+ DOCKER_IMAGE_BASE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-cuda11.1-cudnn8-py3-gcc7
SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
TORCH_CUDA_ARCH_LIST: 5.2
IN_CI: 1
ALPINE_IMAGE: "308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine"
concurrency:
- group: periodic-libtorch-linux-xenial-cuda11.3-py3.6-gcc7-${{ github.event.pull_request.number || github.sha }}
+ group: periodic-libtorch-linux-xenial-cuda11.1-py3.6-gcc7-${{ github.event.pull_request.number || github.sha }}
cancel-in-progress: true
jobs:
needs: [calculate-docker-image, ciflow_should_run]
env:
DOCKER_IMAGE: ${{ needs.calculate-docker-image.outputs.docker_image }}
- JOB_BASE_NAME: periodic-libtorch-linux-xenial-cuda11.3-py3.6-gcc7-build
+ JOB_BASE_NAME: periodic-libtorch-linux-xenial-cuda11.1-py3.6-gcc7-build
steps:
- name: Log in to ECR
run: |
# Template is at: .github/templates/linux_ci_workflow.yml.j2
# Generation script: .github/scripts/generate_ci_workflows.py
-name: periodic-linux-xenial-cuda11.3-py3.6-gcc7
+name: periodic-linux-xenial-cuda11.1-py3.6-gcc7
on:
pull_request:
workflow_dispatch:
env:
- BUILD_ENVIRONMENT: periodic-linux-xenial-cuda11.3-py3.6-gcc7
- DOCKER_IMAGE_BASE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7
+ BUILD_ENVIRONMENT: periodic-linux-xenial-cuda11.1-py3.6-gcc7
+ DOCKER_IMAGE_BASE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-cuda11.1-cudnn8-py3-gcc7
SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
TORCH_CUDA_ARCH_LIST: 5.2
IN_CI: 1
ALPINE_IMAGE: "308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine"
concurrency:
- group: periodic-linux-xenial-cuda11.3-py3.6-gcc7-${{ github.event.pull_request.number || github.sha }}
+ group: periodic-linux-xenial-cuda11.1-py3.6-gcc7-${{ github.event.pull_request.number || github.sha }}
cancel-in-progress: true
jobs:
needs: [calculate-docker-image, ciflow_should_run]
env:
DOCKER_IMAGE: ${{ needs.calculate-docker-image.outputs.docker_image }}
- JOB_BASE_NAME: periodic-linux-xenial-cuda11.3-py3.6-gcc7-build
+ JOB_BASE_NAME: periodic-linux-xenial-cuda11.1-py3.6-gcc7-build
steps:
- name: Log in to ECR
run: |
runs-on: ${{ matrix.runner }}
env:
DOCKER_IMAGE: ${{ needs.calculate-docker-image.outputs.docker_image }}
- JOB_BASE_NAME: periodic-linux-xenial-cuda11.3-py3.6-gcc7-test
+ JOB_BASE_NAME: periodic-linux-xenial-cuda11.1-py3.6-gcc7-test
TEST_CONFIG: ${{ matrix.config }}
SHARD_NUMBER: ${{ matrix.shard }}
NUM_TEST_SHARDS: ${{ matrix.num_shards }}
env | grep '^GITHUB' > "/tmp/github_env_${GITHUB_RUN_ID}"
- name: Test PyTorch
env:
- BUILD_ENVIRONMENT: periodic-linux-xenial-cuda11.3-py3.6-gcc7-${{ matrix.config }}
+ BUILD_ENVIRONMENT: periodic-linux-xenial-cuda11.1-py3.6-gcc7-${{ matrix.config }}
PR_NUMBER: ${{ github.event.pull_request.number }}
run: |
if [[ $TEST_CONFIG == 'multigpu' ]]; then
env:
AWS_DEFAULT_REGION: us-east-1
CIRCLE_BRANCH: ${{ steps.parse-ref.outputs.branch }}
- JOB_BASE_NAME: periodic-linux-xenial-cuda11.3-py3.6-gcc7-test
+ JOB_BASE_NAME: periodic-linux-xenial-cuda11.1-py3.6-gcc7-test
CIRCLE_PR_NUMBER: ${{ github.event.pull_request.number }}
CIRCLE_SHA1: ${{ github.event.pull_request.head.sha || github.sha }}
CIRCLE_TAG: ${{ steps.parse-ref.outputs.tag }}
# Template is at: .github/templates/windows_ci_workflow.yml.j2
# Generation script: .github/scripts/generate_ci_workflows.py
-name: periodic-win-vs2019-cuda11.3-py3
+name: periodic-win-vs2019-cuda11.1-py3
on:
pull_request:
workflow_dispatch:
env:
- BUILD_ENVIRONMENT: periodic-win-vs2019-cuda11.3-py3
+ BUILD_ENVIRONMENT: periodic-win-vs2019-cuda11.1-py3
BUILD_WHEEL: 1
- CUDA_VERSION: "11.3"
+ CUDA_VERSION: "11.1"
IN_CI: 1
INSTALL_WINDOWS_SDK: 1
PYTHON_VERSION: "3.8"
USE_CUDA: 1
concurrency:
- group: periodic-win-vs2019-cuda11.3-py3-${{ github.event.pull_request.number || github.sha }}
+ group: periodic-win-vs2019-cuda11.1-py3-${{ github.event.pull_request.number || github.sha }}
cancel-in-progress: true
jobs:
working-directory: pytorch-${{ github.run_id }}
needs: [ciflow_should_run]
env:
- JOB_BASE_NAME: periodic-win-vs2019-cuda11.3-py3-build
+ JOB_BASE_NAME: periodic-win-vs2019-cuda11.1-py3-build
http_proxy: "http://internal-tf-lb-20210727220640487900000002-835786077.us-east-1.elb.amazonaws.com:3128"
https_proxy: "http://internal-tf-lb-20210727220640487900000002-835786077.us-east-1.elb.amazonaws.com:3128"
steps:
test:
env:
- JOB_BASE_NAME: periodic-win-vs2019-cuda11.3-py3-test
+ JOB_BASE_NAME: periodic-win-vs2019-cuda11.1-py3-test
SHARD_NUMBER: ${{ matrix.shard }}
NUM_TEST_SHARDS: ${{ matrix.num_shards }}
TEST_CONFIG: ${{ matrix.config }}
env:
AWS_DEFAULT_REGION: us-east-1
CIRCLE_BRANCH: ${{ steps.parse-ref.outputs.branch }}
- JOB_BASE_NAME: periodic-win-vs2019-cuda11.3-py3-test
+ JOB_BASE_NAME: periodic-win-vs2019-cuda11.1-py3-test
CIRCLE_PR_NUMBER: ${{ github.event.pull_request.number }}
CIRCLE_SHA1: ${{ github.event.pull_request.head.sha || github.sha }}
CIRCLE_TAG: ${{ steps.parse-ref.outputs.tag }}
# Template is at: .github/templates/windows_ci_workflow.yml.j2
# Generation script: .github/scripts/generate_ci_workflows.py
-name: win-vs2019-cuda11.1-py3
+name: win-vs2019-cuda11.3-py3
on:
pull_request:
workflow_dispatch:
env:
- BUILD_ENVIRONMENT: win-vs2019-cuda11.1-py3
+ BUILD_ENVIRONMENT: win-vs2019-cuda11.3-py3
BUILD_WHEEL: 1
- CUDA_VERSION: "11.1"
+ CUDA_VERSION: "11.3"
IN_CI: 1
INSTALL_WINDOWS_SDK: 1
PYTHON_VERSION: "3.8"
USE_CUDA: 1
concurrency:
- group: win-vs2019-cuda11.1-py3-${{ github.event.pull_request.number || github.sha }}
+ group: win-vs2019-cuda11.3-py3-${{ github.event.pull_request.number || github.sha }}
cancel-in-progress: true
jobs:
working-directory: pytorch-${{ github.run_id }}
needs: [ciflow_should_run]
env:
- JOB_BASE_NAME: win-vs2019-cuda11.1-py3-build
+ JOB_BASE_NAME: win-vs2019-cuda11.3-py3-build
http_proxy: "http://internal-tf-lb-20210727220640487900000002-835786077.us-east-1.elb.amazonaws.com:3128"
https_proxy: "http://internal-tf-lb-20210727220640487900000002-835786077.us-east-1.elb.amazonaws.com:3128"
steps:
test:
env:
- JOB_BASE_NAME: win-vs2019-cuda11.1-py3-test
+ JOB_BASE_NAME: win-vs2019-cuda11.3-py3-test
SHARD_NUMBER: ${{ matrix.shard }}
NUM_TEST_SHARDS: ${{ matrix.num_shards }}
TEST_CONFIG: ${{ matrix.config }}
env:
AWS_DEFAULT_REGION: us-east-1
CIRCLE_BRANCH: ${{ steps.parse-ref.outputs.branch }}
- JOB_BASE_NAME: win-vs2019-cuda11.1-py3-test
+ JOB_BASE_NAME: win-vs2019-cuda11.3-py3-test
CIRCLE_PR_NUMBER: ${{ github.event.pull_request.number }}
CIRCLE_SHA1: ${{ github.event.pull_request.head.sha || github.sha }}
CIRCLE_TAG: ${{ steps.parse-ref.outputs.tag }}