pytorch/.github/scripts/generate_ci_workflows.py
Michael Suo b18c95e4a6 [ci] do not run distributed jobs for windows (#73064)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/73064

These accidentally got turned on by https://github.com/pytorch/pytorch/pull/73001. Turn them off.

Test Plan: Imported from OSS

Reviewed By: shannonzhu

Differential Revision: D34332530

Pulled By: suo

fbshipit-source-id: a6493b7d94465fa9141f1527648dbbec09c5706d
2022-02-17 21:17:56 -08:00

1124 lines
42 KiB
Python
Executable File

#!/usr/bin/env python3
from dataclasses import asdict, dataclass, field
from pathlib import Path
from typing import Dict, Set, List, Iterable, Any
import jinja2
import json
import os
import sys
from typing_extensions import Literal, TypedDict
import generate_binary_build_matrix # type: ignore[import]
Arch = Literal["windows", "linux", "macos"]
DOCKER_REGISTRY = "308535385114.dkr.ecr.us-east-1.amazonaws.com"
GITHUB_DIR = Path(__file__).resolve().parent.parent
WINDOWS_CPU_TEST_RUNNER = "windows.4xlarge"
# contains 1 gpu
WINDOWS_CUDA_TEST_RUNNER = "windows.8xlarge.nvidia.gpu"
WINDOWS_RUNNERS = {
WINDOWS_CPU_TEST_RUNNER,
WINDOWS_CUDA_TEST_RUNNER,
}
LINUX_CPU_TEST_RUNNER = "linux.2xlarge"
# contains 1 gpu
LINUX_CUDA_TEST_RUNNER = "linux.4xlarge.nvidia.gpu"
# contains at least 2 gpus
LINUX_ROCM_TEST_RUNNER = "linux.rocm.gpu"
LINUX_RUNNERS = {
LINUX_CPU_TEST_RUNNER,
LINUX_CUDA_TEST_RUNNER,
LINUX_ROCM_TEST_RUNNER,
}
LINUX_DISTRIBUTED_GPU_RUNNERS = {
LINUX_CUDA_TEST_RUNNER : "linux.8xlarge.nvidia.gpu",
LINUX_ROCM_TEST_RUNNER : LINUX_ROCM_TEST_RUNNER,
}
LINUX_MULTIGPU_RUNNERS = {
LINUX_CUDA_TEST_RUNNER : "linux.16xlarge.nvidia.gpu",
LINUX_ROCM_TEST_RUNNER : LINUX_ROCM_TEST_RUNNER,
}
MACOS_TEST_RUNNER_10_15 = "macos-10.15"
MACOS_TEST_RUNNER_11 = "macos-11"
MACOS_RUNNERS = {
MACOS_TEST_RUNNER_10_15,
MACOS_TEST_RUNNER_11,
}
CUDA_RUNNERS = {
WINDOWS_CUDA_TEST_RUNNER,
LINUX_CUDA_TEST_RUNNER,
}
ROCM_RUNNERS = {
LINUX_ROCM_TEST_RUNNER,
}
CPU_RUNNERS = {
WINDOWS_CPU_TEST_RUNNER,
LINUX_CPU_TEST_RUNNER,
}
LABEL_CIFLOW_ALL = "ciflow/all"
LABEL_CIFLOW_BAZEL = "ciflow/bazel"
LABEL_CIFLOW_CPU = "ciflow/cpu"
LABEL_CIFLOW_CUDA = "ciflow/cuda"
LABEL_CIFLOW_ROCM = "ciflow/rocm"
LABEL_CIFLOW_DOCS = "ciflow/docs"
LABEL_CIFLOW_DEFAULT = "ciflow/default"
LABEL_CIFLOW_LIBTORCH = "ciflow/libtorch"
LABEL_CIFLOW_LINUX = "ciflow/linux"
LABEL_CIFLOW_MOBILE = "ciflow/mobile"
LABEL_CIFLOW_ANDROID = "ciflow/android"
LABEL_CIFLOW_SANITIZERS = "ciflow/sanitizers"
LABEL_CIFLOW_ONNX = "ciflow/onnx"
LABEL_CIFLOW_SCHEDULED = "ciflow/scheduled"
LABEL_CIFLOW_SLOW = "ciflow/slow"
LABEL_CIFLOW_WIN = "ciflow/win"
LABEL_CIFLOW_XLA = "ciflow/xla"
LABEL_CIFLOW_NOARCH = "ciflow/noarch"
LABEL_CIFLOW_VULKAN = "ciflow/vulkan"
LABEL_CIFLOW_PREFIX = "ciflow/"
LABEL_CIFLOW_SLOW_GRADCHECK = "ciflow/slow-gradcheck"
LABEL_CIFLOW_DOCKER = "ciflow/docker"
LABEL_CIFLOW_IOS = "ciflow/ios"
LABEL_CIFLOW_MACOS = "ciflow/macos"
LABEL_CIFLOW_TRUNK = "ciflow/trunk"
LABEL_CIFLOW_BINARIES = "ciflow/binaries"
LABEL_CIFLOW_BINARIES_WHEEL = "ciflow/binaries_wheel"
LABEL_CIFLOW_BINARIES_CONDA = "ciflow/binaries_conda"
LABEL_CIFLOW_BINARIES_LIBTORCH = "ciflow/binaries_libtorch"
@dataclass
class CIFlowConfig:
# For use to enable workflows to run on pytorch/pytorch-canary
run_on_canary: bool = False
labels: Set[str] = field(default_factory=set)
# Certain jobs might not want to be part of the ciflow/[all,trunk] workflow
isolated_workflow: bool = False
def __post_init__(self) -> None:
if not self.isolated_workflow:
self.labels.add(LABEL_CIFLOW_ALL)
if LABEL_CIFLOW_SCHEDULED not in self.labels:
self.labels.add(LABEL_CIFLOW_TRUNK)
assert all(label.startswith(LABEL_CIFLOW_PREFIX) for label in self.labels)
@dataclass
class CIFlowRuleset:
version = 'v1'
output_file = f'{GITHUB_DIR}/generated-ciflow-ruleset.json'
label_rules: Dict[str, Set[str]] = field(default_factory=dict)
def add_label_rule(self, labels: Set[str], workflow_name: str) -> None:
for label in labels:
if label in self.label_rules:
self.label_rules[label].add(workflow_name)
else:
self.label_rules[label] = {workflow_name}
def generate_json(self) -> None:
GENERATED = "generated" # Note that please keep the variable GENERATED otherwise phabricator will hide the whole file
output = {
"__comment": f"@{GENERATED} DO NOT EDIT MANUALLY, Generation script: .github/scripts/generate_ci_workflows.py",
"version": self.version,
"label_rules": {
label: sorted(list(workflows))
for label, workflows in self.label_rules.items()
}
}
with open(self.output_file, 'w') as outfile:
json.dump(output, outfile, indent=2, sort_keys=True)
outfile.write('\n')
class Config(TypedDict):
num_shards: int
runner: str
@dataclass
class CIWorkflow:
# Required fields
arch: Arch
build_environment: str
# Optional fields
test_runner_type: str = ''
multigpu_runner_type: str = ''
distributed_gpu_runner_type: str = ''
ciflow_config: CIFlowConfig = field(default_factory=CIFlowConfig)
cuda_version: str = ''
docker_image_base: str = ''
enable_doc_jobs: bool = False
exclude_test: bool = False
build_generates_artifacts: bool = True
build_with_debug: bool = False
is_scheduled: str = ''
is_default: bool = False
num_test_shards: int = 1
timeout_after: int = 240
xcode_version: str = ''
only_on_pr: bool = False
ios_arch: str = ''
ios_platform: str = ''
test_jobs: Any = field(default_factory=list)
enable_default_test: bool = True
enable_jit_legacy_test: bool = False
enable_distributed_test: bool = True
enable_multigpu_test: bool = False
enable_nogpu_no_avx_test: bool = False
enable_nogpu_no_avx2_test: bool = False
enable_slow_test: bool = False
enable_docs_test: bool = False
enable_backwards_compat_test: bool = False
enable_xla_test: bool = False
enable_noarch_test: bool = False
enable_force_on_cpu_test: bool = False
def __post_init__(self) -> None:
if not self.build_generates_artifacts:
self.exclude_test = True
self.multigpu_runner_type = LINUX_MULTIGPU_RUNNERS.get(self.test_runner_type, "linux.16xlarge.nvidia.gpu")
self.distributed_gpu_runner_type = LINUX_DISTRIBUTED_GPU_RUNNERS.get(self.test_runner_type, "linux.8xlarge.nvidia.gpu")
if LABEL_CIFLOW_DEFAULT in self.ciflow_config.labels:
self.is_default = True
self.test_jobs = self._gen_test_jobs()
self.assert_valid()
def assert_valid(self) -> None:
err_message = f"invalid test_runner_type for {self.arch}: {self.test_runner_type}"
if self.arch == 'linux':
assert self.test_runner_type in LINUX_RUNNERS, err_message
if self.arch == 'windows':
assert self.test_runner_type in WINDOWS_RUNNERS, err_message
if not self.ciflow_config.isolated_workflow:
assert LABEL_CIFLOW_ALL in self.ciflow_config.labels
if self.arch == 'linux':
assert LABEL_CIFLOW_LINUX in self.ciflow_config.labels
if self.arch == 'windows':
assert LABEL_CIFLOW_WIN in self.ciflow_config.labels
if self.arch == 'macos':
assert LABEL_CIFLOW_MACOS in self.ciflow_config.labels
# Make sure that jobs with tests have a test_runner_type
if not self.exclude_test:
assert self.test_runner_type != ''
if self.test_runner_type in CUDA_RUNNERS:
assert LABEL_CIFLOW_CUDA in self.ciflow_config.labels
if self.test_runner_type in ROCM_RUNNERS:
assert LABEL_CIFLOW_ROCM in self.ciflow_config.labels
if self.test_runner_type in CPU_RUNNERS and not self.exclude_test:
assert LABEL_CIFLOW_CPU in self.ciflow_config.labels
if self.is_scheduled:
assert LABEL_CIFLOW_DEFAULT not in self.ciflow_config.labels
assert LABEL_CIFLOW_TRUNK not in self.ciflow_config.labels
assert LABEL_CIFLOW_SCHEDULED in self.ciflow_config.labels
if self.build_with_debug:
assert self.build_environment.endswith("-debug")
def generate_workflow_file(self, workflow_template: jinja2.Template) -> None:
output_file_path = GITHUB_DIR / f"workflows/generated-{self.build_environment}.yml"
with open(output_file_path, "w") as output_file:
GENERATED = "generated" # Note that please keep the variable GENERATED otherwise phabricator will hide the whole file
output_file.writelines([f"# @{GENERATED} DO NOT EDIT MANUALLY\n"])
try:
content = workflow_template.render(asdict(self))
except Exception as e:
print(f"Failed on template: {workflow_template}", file=sys.stderr)
raise e
output_file.write(content)
if content[-1] != "\n":
output_file.write("\n")
print(output_file_path)
def normalized_build_environment(self, suffix: str) -> str:
return self.build_environment.replace(".", "_") + suffix
def _gen_test_jobs(self) -> Any:
if self.arch == "linux":
MULTIGPU_RUNNER_TYPE = "linux.16xlarge.nvidia.gpu"
DISTRIBUTED_GPU_RUNNER_TYPE = "linux.8xlarge.nvidia.gpu"
NOGPU_RUNNER_TYPE = "linux.2xlarge"
elif self.arch == "windows":
DISTRIBUTED_GPU_RUNNER_TYPE = self.test_runner_type
NOGPU_RUNNER_TYPE = "windows.4xlarge"
test_jobs = []
configs: Dict[str, Config] = {}
if self.enable_jit_legacy_test:
configs["jit_legacy"] = {"num_shards": 1, "runner": self.test_runner_type}
if self.enable_multigpu_test:
configs["multigpu"] = {"num_shards": 1, "runner": MULTIGPU_RUNNER_TYPE}
if self.enable_nogpu_no_avx_test:
configs["nogpu_NO_AVX"] = {"num_shards": 1, "runner": NOGPU_RUNNER_TYPE}
if self.enable_nogpu_no_avx2_test:
configs["nogpu_NO_AVX2"] = {"num_shards": 1, "runner": NOGPU_RUNNER_TYPE}
if self.enable_force_on_cpu_test:
configs["force_on_cpu"] = {"num_shards": 1, "runner": NOGPU_RUNNER_TYPE}
if self.enable_distributed_test:
configs["distributed"] = {
"num_shards": 1,
"runner": DISTRIBUTED_GPU_RUNNER_TYPE
if "cuda" in str(self.build_environment)
else self.test_runner_type,
}
if self.enable_slow_test:
configs["slow"] = {"num_shards": 1, "runner": self.test_runner_type}
if self.enable_docs_test:
configs["docs_test"] = {"num_shards": 1, "runner": self.test_runner_type}
if self.enable_backwards_compat_test:
configs["backwards_compat"] = {
"num_shards": 1,
"runner": self.test_runner_type,
}
if self.enable_xla_test:
configs["xla"] = {"num_shards": 1, "runner": self.test_runner_type}
if self.enable_noarch_test:
configs["noarch"] = {"num_shards": 1, "runner": self.test_runner_type}
for name, config in configs.items():
for shard in range(1, config["num_shards"] + 1):
test_jobs.append(
{
"id": f"test_{name}_{shard}_{config['num_shards']}",
"name": f"test ({name}, {shard}, {config['num_shards']}, {config['runner']})",
"config": name,
"shard": shard,
"num_shards": config["num_shards"],
"runner": config["runner"],
}
)
if self.enable_default_test:
for shard in range(1, self.num_test_shards + 1):
test_jobs.append(
{
"id": f"test_default_{shard}_{self.num_test_shards}",
"name": f"test (default, {shard}, {self.num_test_shards}, {self.test_runner_type})",
"config": "default",
"shard": shard,
"num_shards": self.num_test_shards,
"runner": self.test_runner_type,
}
)
return test_jobs
@dataclass
class DockerWorkflow:
build_environment: str
docker_images: List[str]
# Optional fields
ciflow_config: CIFlowConfig = field(default_factory=CIFlowConfig)
cuda_version: str = ''
is_scheduled: str = ''
def generate_workflow_file(self, workflow_template: jinja2.Template) -> None:
output_file_path = GITHUB_DIR / "workflows/generated-docker-builds.yml"
with open(output_file_path, "w") as output_file:
GENERATED = "generated" # Note that please keep the variable GENERATED otherwise phabricator will hide the whole file
output_file.writelines([f"# @{GENERATED} DO NOT EDIT MANUALLY\n"])
try:
content = workflow_template.render(asdict(self))
except Exception as e:
print(f"Failed on template: {workflow_template}", file=sys.stderr)
raise e
output_file.write(content)
if content[-1] != "\n":
output_file.write("\n")
print(output_file_path)
@dataclass
class BinaryBuildWorkflow:
os: str
build_configs: List[Dict[str, str]]
package_type: str
# Optional fields
build_environment: str = ''
abi_version: str = ''
ciflow_config: CIFlowConfig = field(default_factory=CIFlowConfig)
is_scheduled: str = ''
# Mainly for macos
cross_compile_arm64: bool = False
xcode_version: str = ''
def __post_init__(self) -> None:
if self.abi_version:
self.build_environment = f"{self.os}-binary-{self.package_type}-{self.abi_version}"
else:
self.build_environment = f"{self.os}-binary-{self.package_type}"
def generate_workflow_file(self, workflow_template: jinja2.Template) -> None:
output_file_path = GITHUB_DIR / f"workflows/generated-{self.build_environment}.yml"
with open(output_file_path, "w") as output_file:
GENERATED = "generated" # Note that please keep the variable GENERATED otherwise phabricator will hide the whole file
output_file.writelines([f"# @{GENERATED} DO NOT EDIT MANUALLY\n"])
try:
content = workflow_template.render(asdict(self))
except Exception as e:
print(f"Failed on template: {workflow_template}", file=sys.stderr)
raise e
output_file.write(content)
if content[-1] != "\n":
output_file.write("\n")
print(output_file_path)
WINDOWS_WORKFLOWS = [
CIWorkflow(
arch="windows",
build_environment="win-vs2019-cpu-py3",
cuda_version="cpu",
enable_distributed_test=False,
test_runner_type=WINDOWS_CPU_TEST_RUNNER,
num_test_shards=2,
ciflow_config=CIFlowConfig(
run_on_canary=True,
labels={LABEL_CIFLOW_DEFAULT, LABEL_CIFLOW_CPU, LABEL_CIFLOW_WIN}
),
),
CIWorkflow(
arch="windows",
build_environment="win-vs2019-cuda11.3-py3",
cuda_version="11.3",
enable_distributed_test=False,
test_runner_type=WINDOWS_CUDA_TEST_RUNNER,
num_test_shards=2,
enable_force_on_cpu_test=True,
ciflow_config=CIFlowConfig(
run_on_canary=True,
labels={LABEL_CIFLOW_DEFAULT, LABEL_CIFLOW_CUDA, LABEL_CIFLOW_WIN}
),
),
CIWorkflow(
arch="windows",
build_environment="periodic-win-vs2019-cuda11.5-py3",
cuda_version="11.5",
enable_distributed_test=False,
test_runner_type=WINDOWS_CUDA_TEST_RUNNER,
num_test_shards=2,
enable_force_on_cpu_test=True,
is_scheduled="45 4,10,16,22 * * *",
ciflow_config=CIFlowConfig(
run_on_canary=True,
labels={LABEL_CIFLOW_SCHEDULED, LABEL_CIFLOW_CUDA, LABEL_CIFLOW_WIN}
),
),
CIWorkflow(
arch="windows",
build_environment="periodic-win-vs2019-cuda11.1-py3",
cuda_version="11.1",
enable_distributed_test=False,
test_runner_type=WINDOWS_CUDA_TEST_RUNNER,
num_test_shards=2,
is_scheduled="45 0,4,8,12,16,20 * * *",
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_SCHEDULED, LABEL_CIFLOW_WIN, LABEL_CIFLOW_CUDA}
),
),
]
LINUX_WORKFLOWS = [
CIWorkflow(
arch="linux",
build_environment="linux-xenial-py3.7-gcc5.4",
docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3.7-gcc5.4",
test_runner_type=LINUX_CPU_TEST_RUNNER,
enable_jit_legacy_test=True,
enable_backwards_compat_test=True,
enable_docs_test=True,
num_test_shards=2,
ciflow_config=CIFlowConfig(
run_on_canary=True,
labels={LABEL_CIFLOW_DEFAULT, LABEL_CIFLOW_LINUX, LABEL_CIFLOW_CPU}
),
),
CIWorkflow(
arch="linux",
build_environment="linux-docs",
docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3.7-gcc5.4",
test_runner_type=LINUX_CPU_TEST_RUNNER,
enable_doc_jobs=True,
exclude_test=True,
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_DEFAULT, LABEL_CIFLOW_DOCS, LABEL_CIFLOW_LINUX, LABEL_CIFLOW_CPU}
),
),
CIWorkflow(
arch="linux",
build_environment="linux-docs-push",
docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3.7-gcc5.4",
test_runner_type=LINUX_CPU_TEST_RUNNER,
enable_doc_jobs=True,
exclude_test=True,
is_scheduled="0 0 * * *", # run pushes only on a nightly schedule
# NOTE: This is purposefully left without LABEL_CIFLOW_DOCS so that you can run
# docs builds on your PR without the fear of anything pushing
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_SCHEDULED, LABEL_CIFLOW_LINUX, LABEL_CIFLOW_CPU}
),
),
CIWorkflow(
arch="linux",
build_environment="linux-xenial-py3.7-gcc7",
docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3.7-gcc7",
test_runner_type=LINUX_CPU_TEST_RUNNER,
num_test_shards=2,
ciflow_config=CIFlowConfig(
run_on_canary=True,
labels={LABEL_CIFLOW_DEFAULT, LABEL_CIFLOW_LINUX, LABEL_CIFLOW_CPU}
),
),
# ParallelTBB does not have a maintainer and is currently flaky
# CIWorkflow(
# arch="linux",
# build_environment="paralleltbb-linux-xenial-py3.6-gcc5.4",
# docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3.6-gcc5.4",
# test_runner_type=LINUX_CPU_TEST_RUNNER,
# ciflow_config=CIFlowConfig(
# labels={LABEL_CIFLOW_LINUX, LABEL_CIFLOW_CPU},
# ),
# ),
CIWorkflow(
arch="linux",
build_environment="parallelnative-linux-xenial-py3.7-gcc5.4",
docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3.7-gcc5.4",
test_runner_type=LINUX_CPU_TEST_RUNNER,
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_LINUX, LABEL_CIFLOW_CPU},
),
),
# Build PyTorch with BUILD_CAFFE2=ON
CIWorkflow(
arch="linux",
build_environment="caffe2-linux-xenial-py3.7-gcc5.4",
docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3.7-gcc5.4",
test_runner_type=LINUX_CPU_TEST_RUNNER,
exclude_test=True,
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_LINUX, LABEL_CIFLOW_CPU},
),
),
CIWorkflow(
arch="linux",
build_environment="linux-xenial-py3-clang5-mobile-build",
docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang5-asan",
test_runner_type=LINUX_CPU_TEST_RUNNER,
build_generates_artifacts=False,
exclude_test=True,
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_LINUX, LABEL_CIFLOW_MOBILE, LABEL_CIFLOW_DEFAULT},
),
),
CIWorkflow(
arch="linux",
build_environment="linux-xenial-py3-clang5-mobile-custom-build-static",
docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang5-android-ndk-r19c",
test_runner_type=LINUX_CPU_TEST_RUNNER,
build_generates_artifacts=False,
exclude_test=True,
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_LINUX, LABEL_CIFLOW_MOBILE, LABEL_CIFLOW_DEFAULT},
),
),
CIWorkflow(
arch="linux",
build_environment="linux-xenial-py3.7-clang7-asan",
docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang7-asan",
test_runner_type=LINUX_CPU_TEST_RUNNER,
num_test_shards=3,
enable_distributed_test=False,
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_DEFAULT, LABEL_CIFLOW_LINUX, LABEL_CIFLOW_SANITIZERS, LABEL_CIFLOW_CPU},
),
),
CIWorkflow(
arch="linux",
build_environment="linux-xenial-py3.7-clang7-onnx",
docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang7-onnx",
test_runner_type=LINUX_CPU_TEST_RUNNER,
num_test_shards=2,
enable_distributed_test=False,
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_DEFAULT, LABEL_CIFLOW_LINUX, LABEL_CIFLOW_ONNX, LABEL_CIFLOW_CPU},
),
),
CIWorkflow(
arch="linux",
build_environment="linux-bionic-cuda10.2-py3.9-gcc7",
docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-bionic-cuda10.2-cudnn7-py3.9-gcc7",
test_runner_type=LINUX_CUDA_TEST_RUNNER,
enable_jit_legacy_test=True,
enable_multigpu_test=True,
enable_nogpu_no_avx_test=True,
enable_nogpu_no_avx2_test=True,
enable_slow_test=True,
num_test_shards=2,
ciflow_config=CIFlowConfig(
run_on_canary=True,
labels={LABEL_CIFLOW_SLOW, LABEL_CIFLOW_LINUX, LABEL_CIFLOW_CUDA}
),
),
CIWorkflow(
arch="linux",
build_environment="libtorch-linux-xenial-cuda10.2-py3.7-gcc7",
docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-cuda10.2-cudnn7-py3-gcc7",
test_runner_type=LINUX_CUDA_TEST_RUNNER,
build_generates_artifacts=False,
exclude_test=True,
ciflow_config=CIFlowConfig(
labels=set([LABEL_CIFLOW_LIBTORCH, LABEL_CIFLOW_LINUX, LABEL_CIFLOW_CUDA]),
),
),
CIWorkflow(
arch="linux",
build_environment="periodic-linux-bionic-cuda11.5-py3.7-gcc7",
docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-bionic-cuda11.5-cudnn8-py3-gcc7",
test_runner_type=LINUX_CUDA_TEST_RUNNER,
num_test_shards=2,
is_scheduled="45 4,10,16,22 * * *",
ciflow_config=CIFlowConfig(
labels=set([LABEL_CIFLOW_SCHEDULED, LABEL_CIFLOW_LINUX, LABEL_CIFLOW_CUDA]),
),
),
CIWorkflow(
arch="linux",
build_environment="periodic-libtorch-linux-bionic-cuda11.5-py3.7-gcc7",
docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-bionic-cuda11.5-cudnn8-py3-gcc7",
test_runner_type=LINUX_CUDA_TEST_RUNNER,
build_generates_artifacts=False,
is_scheduled="45 4,10,16,22 * * *",
exclude_test=True,
ciflow_config=CIFlowConfig(
labels=set([LABEL_CIFLOW_SCHEDULED, LABEL_CIFLOW_LIBTORCH, LABEL_CIFLOW_LINUX, LABEL_CIFLOW_CUDA]),
),
),
CIWorkflow(
arch="linux",
build_environment="linux-xenial-cuda11.3-py3.7-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,
ciflow_config=CIFlowConfig(
labels=set([LABEL_CIFLOW_DEFAULT, LABEL_CIFLOW_LINUX, LABEL_CIFLOW_CUDA]),
),
),
# no-ops builds test USE_PER_OPERATOR_HEADERS=0 where ATen/ops is not generated
CIWorkflow(
arch="linux",
build_environment="linux-xenial-cuda11.3-py3.7-gcc7-no-ops",
docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7",
test_runner_type=LINUX_CUDA_TEST_RUNNER,
exclude_test=True,
ciflow_config=CIFlowConfig(
labels=set([LABEL_CIFLOW_LINUX, LABEL_CIFLOW_CUDA]),
),
),
CIWorkflow(
arch="linux",
build_environment="linux-xenial-py3.7-gcc7-no-ops",
docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3.7-gcc7",
test_runner_type=LINUX_CPU_TEST_RUNNER,
exclude_test=True,
ciflow_config=CIFlowConfig(
labels=set([LABEL_CIFLOW_DEFAULT, LABEL_CIFLOW_LINUX, LABEL_CIFLOW_CPU]),
),
),
CIWorkflow(
arch="linux",
build_environment="linux-bionic-rocm4.5-py3.7",
docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-bionic-rocm4.5-py3.7",
test_runner_type=LINUX_ROCM_TEST_RUNNER,
num_test_shards=2,
ciflow_config=CIFlowConfig(
labels=set([LABEL_CIFLOW_DEFAULT, LABEL_CIFLOW_LINUX, LABEL_CIFLOW_ROCM]),
),
),
CIWorkflow(
arch="linux",
build_environment="libtorch-linux-xenial-cuda11.3-py3.7-gcc7",
docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7",
test_runner_type=LINUX_CUDA_TEST_RUNNER,
build_generates_artifacts=False,
exclude_test=True,
ciflow_config=CIFlowConfig(
labels=set([LABEL_CIFLOW_LIBTORCH, LABEL_CIFLOW_LINUX, LABEL_CIFLOW_CUDA]),
),
),
CIWorkflow(
arch="linux",
build_environment="periodic-linux-xenial-cuda11.1-py3.7-gcc7-debug",
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,
build_with_debug=True,
is_scheduled="45 0,4,8,12,16,20 * * *",
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_SCHEDULED, LABEL_CIFLOW_LINUX, LABEL_CIFLOW_CUDA}
),
),
CIWorkflow(
arch="linux",
build_environment="periodic-libtorch-linux-xenial-cuda11.1-py3.7-gcc7",
docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-cuda11.1-cudnn8-py3-gcc7",
test_runner_type=LINUX_CUDA_TEST_RUNNER,
build_generates_artifacts=False,
exclude_test=True,
is_scheduled="45 0,4,8,12,16,20 * * *",
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_SCHEDULED, LABEL_CIFLOW_LINUX, LABEL_CIFLOW_LIBTORCH, LABEL_CIFLOW_CUDA},
),
),
CIWorkflow(
arch="linux",
build_environment="linux-bionic-py3.7-clang9",
docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-bionic-py3.7-clang9",
test_runner_type=LINUX_CPU_TEST_RUNNER,
num_test_shards=2,
enable_distributed_test=False,
enable_noarch_test=True,
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_DEFAULT, LABEL_CIFLOW_LINUX, LABEL_CIFLOW_CPU, LABEL_CIFLOW_NOARCH},
),
),
CIWorkflow(
arch="linux",
build_environment="linux-vulkan-bionic-py3.7-clang9",
docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-bionic-py3.7-clang9",
test_runner_type=LINUX_CPU_TEST_RUNNER,
num_test_shards=1,
enable_distributed_test=False,
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_DEFAULT, LABEL_CIFLOW_LINUX, LABEL_CIFLOW_CPU, LABEL_CIFLOW_VULKAN},
),
),
CIWorkflow(
arch="linux",
build_environment="periodic-linux-xenial-cuda10.2-py3-gcc7-slow-gradcheck",
docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-cuda10.2-cudnn7-py3-gcc7",
test_runner_type=LINUX_CUDA_TEST_RUNNER,
num_test_shards=2,
enable_distributed_test=False,
timeout_after=360,
# Only run this on master 4 times per day since it does take a while
is_scheduled="0 */4 * * *",
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_LINUX, LABEL_CIFLOW_CUDA, LABEL_CIFLOW_SLOW_GRADCHECK, LABEL_CIFLOW_SLOW, LABEL_CIFLOW_SCHEDULED},
),
),
]
XLA_WORKFLOWS = [
CIWorkflow(
arch="linux",
build_environment="pytorch-xla-linux-bionic-py3.7-clang8",
docker_image_base=f"{DOCKER_REGISTRY}/pytorch/xla_base",
test_runner_type=LINUX_CPU_TEST_RUNNER,
num_test_shards=2,
enable_distributed_test=False,
enable_xla_test=True,
enable_default_test=False,
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_LINUX, LABEL_CIFLOW_CPU, LABEL_CIFLOW_XLA},
),
),
]
ANDROID_SHORT_WORKFLOWS = [
CIWorkflow(
arch="linux",
build_environment="pytorch-linux-xenial-py3-clang5-android-ndk-r19c-gradle-custom-build-single",
docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang5-android-ndk-r19c",
test_runner_type=LINUX_CPU_TEST_RUNNER,
exclude_test=True,
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_LINUX, LABEL_CIFLOW_CPU, LABEL_CIFLOW_ANDROID, LABEL_CIFLOW_DEFAULT},
),
),
CIWorkflow(
arch="linux",
build_environment="pytorch-linux-xenial-py3-clang5-android-ndk-r19c-gradle-custom-build-single-full-jit",
docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang5-android-ndk-r19c",
test_runner_type=LINUX_CPU_TEST_RUNNER,
exclude_test=True,
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_LINUX, LABEL_CIFLOW_CPU, LABEL_CIFLOW_ANDROID, LABEL_CIFLOW_DEFAULT},
),
),
]
ANDROID_WORKFLOWS = [
CIWorkflow(
arch="linux",
build_environment="pytorch-linux-xenial-py3-clang5-android-ndk-r19c-build",
docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang5-android-ndk-r19c",
test_runner_type=LINUX_CPU_TEST_RUNNER,
exclude_test=True,
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_LINUX, LABEL_CIFLOW_CPU, LABEL_CIFLOW_ANDROID},
),
),
]
BAZEL_WORKFLOWS = [
CIWorkflow(
arch="linux",
build_environment="linux-xenial-cuda11.3-py3.7-gcc7-bazel-test",
docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7",
test_runner_type=LINUX_CPU_TEST_RUNNER,
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_DEFAULT, LABEL_CIFLOW_BAZEL, LABEL_CIFLOW_CPU, LABEL_CIFLOW_LINUX},
),
),
]
IOS_WORKFLOWS = [
CIWorkflow(
arch="macos",
build_environment="ios-12-5-1-arm64",
ios_arch="arm64",
ios_platform="OS",
test_runner_type=MACOS_TEST_RUNNER_10_15,
is_scheduled="45 4,10,16,22 * * *",
exclude_test=True,
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_SCHEDULED, LABEL_CIFLOW_IOS, LABEL_CIFLOW_MACOS},
),
),
CIWorkflow(
arch="macos",
build_environment="ios-12-5-1-arm64-coreml",
ios_arch="arm64",
ios_platform="OS",
test_runner_type=MACOS_TEST_RUNNER_10_15,
is_scheduled="45 4,10,16,22 * * *",
exclude_test=True,
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_SCHEDULED, LABEL_CIFLOW_IOS, LABEL_CIFLOW_MACOS},
),
),
CIWorkflow(
arch="macos",
build_environment="ios-12-5-1-arm64-custom-ops",
ios_arch="arm64",
ios_platform="OS",
test_runner_type=MACOS_TEST_RUNNER_10_15,
is_scheduled="45 4,10,16,22 * * *",
exclude_test=True,
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_SCHEDULED, LABEL_CIFLOW_IOS, LABEL_CIFLOW_MACOS},
),
),
CIWorkflow(
arch="macos",
build_environment="ios-12-5-1-arm64-metal",
ios_arch="arm64",
ios_platform="OS",
test_runner_type=MACOS_TEST_RUNNER_10_15,
is_scheduled="45 4,10,16,22 * * *",
exclude_test=True,
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_SCHEDULED, LABEL_CIFLOW_IOS, LABEL_CIFLOW_MACOS},
),
),
CIWorkflow(
arch="macos",
build_environment="ios-12-5-1-x86-64",
ios_arch="x86_64",
ios_platform="SIMULATOR",
test_runner_type=MACOS_TEST_RUNNER_10_15,
exclude_test=True,
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_IOS, LABEL_CIFLOW_MACOS},
),
),
CIWorkflow(
arch="macos",
build_environment="ios-12-5-1-x86-64-coreml",
ios_arch="x86_64",
ios_platform="SIMULATOR",
test_runner_type=MACOS_TEST_RUNNER_10_15,
exclude_test=True,
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_IOS, LABEL_CIFLOW_MACOS},
),
),
]
MACOS_WORKFLOWS = [
# Distributed tests are still run on MacOS, but part of regular shards
CIWorkflow(
arch="macos",
build_environment="macos-11-py3-x86-64",
xcode_version="12.4",
test_runner_type=MACOS_TEST_RUNNER_11,
num_test_shards=2,
enable_distributed_test=False,
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_MACOS},
),
),
CIWorkflow(
arch="macos",
build_environment="macos-10-15-py3-lite-interpreter-x86-64",
xcode_version="12",
test_runner_type=MACOS_TEST_RUNNER_10_15,
exclude_test=True,
build_generates_artifacts=False,
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_MACOS},
),
),
CIWorkflow(
arch="macos",
build_environment="macos-10-15-py3-arm64",
test_runner_type=MACOS_TEST_RUNNER_10_15,
exclude_test=True,
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_MACOS},
),
),
]
DOCKER_IMAGES = {
f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-bionic-rocm4.3.1-py3.7", # for rocm
f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-bionic-rocm4.5-py3.7", # for rocm
}
DOCKER_IMAGES.update({
workflow.docker_image_base
for workflow in [*LINUX_WORKFLOWS, *BAZEL_WORKFLOWS, *ANDROID_WORKFLOWS]
if workflow.docker_image_base
})
DOCKER_WORKFLOWS = [
DockerWorkflow(
build_environment="docker-builds",
docker_images=sorted(DOCKER_IMAGES),
# Run every Wednesday at 3:01am to ensure they can build
is_scheduled="1 3 * * 3",
),
]
class OperatingSystem:
LINUX = "linux"
WINDOWS = "windows"
MACOS = "macos"
MACOS_ARM64 = "macos-arm64"
LINUX_BINARY_BUILD_WORFKLOWS = [
BinaryBuildWorkflow(
os=OperatingSystem.LINUX,
package_type="manywheel",
build_configs=generate_binary_build_matrix.generate_wheels_matrix(OperatingSystem.LINUX),
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_DEFAULT, LABEL_CIFLOW_BINARIES, LABEL_CIFLOW_BINARIES_WHEEL},
isolated_workflow=True,
),
),
BinaryBuildWorkflow(
os=OperatingSystem.LINUX,
package_type="conda",
build_configs=generate_binary_build_matrix.generate_conda_matrix(OperatingSystem.LINUX),
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_DEFAULT, LABEL_CIFLOW_BINARIES, LABEL_CIFLOW_BINARIES_CONDA},
isolated_workflow=True,
),
),
BinaryBuildWorkflow(
os=OperatingSystem.LINUX,
package_type="libtorch",
abi_version=generate_binary_build_matrix.CXX11_ABI,
build_configs=generate_binary_build_matrix.generate_libtorch_matrix(
OperatingSystem.LINUX, generate_binary_build_matrix.CXX11_ABI
),
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_DEFAULT, LABEL_CIFLOW_BINARIES, LABEL_CIFLOW_BINARIES_LIBTORCH},
isolated_workflow=True,
),
),
BinaryBuildWorkflow(
os=OperatingSystem.LINUX,
package_type="libtorch",
abi_version=generate_binary_build_matrix.PRE_CXX11_ABI,
build_configs=generate_binary_build_matrix.generate_libtorch_matrix(
OperatingSystem.LINUX, generate_binary_build_matrix.PRE_CXX11_ABI
),
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_DEFAULT, LABEL_CIFLOW_BINARIES, LABEL_CIFLOW_BINARIES_LIBTORCH},
isolated_workflow=True,
),
),
]
WINDOWS_BINARY_BUILD_WORKFLOWS = [
BinaryBuildWorkflow(
os=OperatingSystem.WINDOWS,
package_type="wheel",
build_configs=generate_binary_build_matrix.generate_wheels_matrix(OperatingSystem.WINDOWS),
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_DEFAULT, LABEL_CIFLOW_BINARIES, LABEL_CIFLOW_BINARIES_WHEEL},
isolated_workflow=True,
),
),
# NOTE: conda binaries are currently bugged on the installation step
# See, https://github.com/pytorch/pytorch/pull/71484#issuecomment-1022617195
# BinaryBuildWorkflow(
# os=OperatingSystem.WINDOWS,
# package_type="conda",
# build_configs=generate_binary_build_matrix.generate_conda_matrix(OperatingSystem.WINDOWS),
# ciflow_config=CIFlowConfig(
# labels={LABEL_CIFLOW_DEFAULT, LABEL_CIFLOW_BINARIES, LABEL_CIFLOW_BINARIES_CONDA},
# isolated_workflow=True,
# ),
# ),
BinaryBuildWorkflow(
os=OperatingSystem.WINDOWS,
package_type="libtorch",
abi_version=generate_binary_build_matrix.CXX11_ABI,
build_configs=generate_binary_build_matrix.generate_libtorch_matrix(
OperatingSystem.WINDOWS, generate_binary_build_matrix.CXX11_ABI
),
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_DEFAULT, LABEL_CIFLOW_BINARIES, LABEL_CIFLOW_BINARIES_LIBTORCH},
isolated_workflow=True,
),
),
BinaryBuildWorkflow(
os=OperatingSystem.WINDOWS,
package_type="libtorch",
abi_version=generate_binary_build_matrix.PRE_CXX11_ABI,
build_configs=generate_binary_build_matrix.generate_libtorch_matrix(
OperatingSystem.WINDOWS, generate_binary_build_matrix.PRE_CXX11_ABI
),
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_DEFAULT, LABEL_CIFLOW_BINARIES, LABEL_CIFLOW_BINARIES_LIBTORCH},
isolated_workflow=True,
),
),
]
MACOS_BINARY_BUILD_WORKFLOWS = [
BinaryBuildWorkflow(
os=OperatingSystem.MACOS,
package_type="wheel",
build_configs=generate_binary_build_matrix.generate_wheels_matrix(OperatingSystem.MACOS),
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_DEFAULT, LABEL_CIFLOW_BINARIES, LABEL_CIFLOW_BINARIES_WHEEL},
isolated_workflow=True,
),
),
BinaryBuildWorkflow(
os=OperatingSystem.MACOS,
package_type="conda",
build_configs=generate_binary_build_matrix.generate_conda_matrix(OperatingSystem.MACOS),
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_DEFAULT, LABEL_CIFLOW_BINARIES, LABEL_CIFLOW_BINARIES_CONDA},
isolated_workflow=True,
),
),
BinaryBuildWorkflow(
os=OperatingSystem.MACOS,
package_type="libtorch",
abi_version=generate_binary_build_matrix.CXX11_ABI,
build_configs=generate_binary_build_matrix.generate_libtorch_matrix(
OperatingSystem.MACOS, generate_binary_build_matrix.CXX11_ABI
),
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_DEFAULT, LABEL_CIFLOW_BINARIES, LABEL_CIFLOW_BINARIES_LIBTORCH},
isolated_workflow=True,
),
),
BinaryBuildWorkflow(
os=OperatingSystem.MACOS,
package_type="libtorch",
abi_version=generate_binary_build_matrix.PRE_CXX11_ABI,
build_configs=generate_binary_build_matrix.generate_libtorch_matrix(
OperatingSystem.MACOS, generate_binary_build_matrix.PRE_CXX11_ABI
),
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_DEFAULT, LABEL_CIFLOW_BINARIES, LABEL_CIFLOW_BINARIES_LIBTORCH},
isolated_workflow=True,
),
),
BinaryBuildWorkflow(
os=OperatingSystem.MACOS_ARM64,
package_type="wheel",
build_configs=generate_binary_build_matrix.generate_wheels_matrix(OperatingSystem.MACOS),
cross_compile_arm64=True,
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_DEFAULT, LABEL_CIFLOW_BINARIES, LABEL_CIFLOW_BINARIES_WHEEL},
isolated_workflow=True,
),
),
BinaryBuildWorkflow(
os=OperatingSystem.MACOS_ARM64,
package_type="conda",
cross_compile_arm64=True,
build_configs=generate_binary_build_matrix.generate_conda_matrix(OperatingSystem.MACOS_ARM64),
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_DEFAULT, LABEL_CIFLOW_BINARIES, LABEL_CIFLOW_BINARIES_CONDA},
isolated_workflow=True,
),
),
]
def main() -> None:
jinja_env = jinja2.Environment(
variable_start_string="!{{",
loader=jinja2.FileSystemLoader(str(GITHUB_DIR.joinpath("templates"))),
undefined=jinja2.StrictUndefined,
)
template_and_workflows = [
(jinja_env.get_template("linux_ci_workflow.yml.j2"), LINUX_WORKFLOWS),
(jinja_env.get_template("linux_ci_workflow.yml.j2"), XLA_WORKFLOWS),
(jinja_env.get_template("windows_ci_workflow.yml.j2"), WINDOWS_WORKFLOWS),
(jinja_env.get_template("bazel_ci_workflow.yml.j2"), BAZEL_WORKFLOWS),
(jinja_env.get_template("ios_ci_workflow.yml.j2"), IOS_WORKFLOWS),
(jinja_env.get_template("macos_ci_workflow.yml.j2"), MACOS_WORKFLOWS),
(jinja_env.get_template("docker_builds_ci_workflow.yml.j2"), DOCKER_WORKFLOWS),
(jinja_env.get_template("android_ci_full_workflow.yml.j2"), ANDROID_WORKFLOWS),
(jinja_env.get_template("android_ci_workflow.yml.j2"), ANDROID_SHORT_WORKFLOWS),
(jinja_env.get_template("linux_binary_build_workflow.yml.j2"), LINUX_BINARY_BUILD_WORFKLOWS),
(jinja_env.get_template("windows_binary_build_workflow.yml.j2"), WINDOWS_BINARY_BUILD_WORKFLOWS),
(jinja_env.get_template("macos_binary_build_workflow.yml.j2"), MACOS_BINARY_BUILD_WORKFLOWS),
]
# Delete the existing generated files first, this should align with .gitattributes file description.
existing_workflows = GITHUB_DIR.glob("workflows/generated-*")
for w in existing_workflows:
try:
os.remove(w)
except Exception as e:
print(f"Error occurred when deleting file {w}: {e}")
ciflow_ruleset = CIFlowRuleset()
for template, workflows in template_and_workflows:
# added Iterable check to appease the mypy gods
if not isinstance(workflows, Iterable):
raise Exception(f"How is workflows not iterable? {workflows}")
for workflow in workflows:
workflow.generate_workflow_file(workflow_template=template)
ciflow_ruleset.add_label_rule(workflow.ciflow_config.labels, workflow.build_environment)
ciflow_ruleset.generate_json()
if __name__ == "__main__":
main()