pytorch/.github/scripts/generate_ci_workflows.py
atalman 995fae6060 Move small pypi build as default for linux cuda 12.1 (#114281)
This is first PR to resolve: https://github.com/pytorch/pytorch/issues/113972
Move our small wheel build as default
Test:
```
pip3 install --no-cache-dir --pre torch-2.2.0.dev20231121%2Bcu121-cp310-cp310-linux_x86_64.whl  --index-url https://download.pytorch.org/whl/nightly/cu121
Looking in indexes: https://download.pytorch.org/whl/nightly/cu121
Processing ./torch-2.2.0.dev20231121%2Bcu121-cp310-cp310-linux_x86_64.whl
Collecting filelock (from torch==2.2.0.dev20231121+cu121)
  Downloading https://download.pytorch.org/whl/nightly/filelock-3.9.0-py3-none-any.whl (9.7 kB)
Collecting typing-extensions>=4.8.0 (from torch==2.2.0.dev20231121+cu121)
  Downloading https://download.pytorch.org/whl/nightly/typing_extensions-4.8.0-py3-none-any.whl (31 kB)
Collecting sympy (from torch==2.2.0.dev20231121+cu121)
  Downloading https://download.pytorch.org/whl/nightly/sympy-1.11.1-py3-none-any.whl (6.5 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.5/6.5 MB 253.4 MB/s eta 0:00:00
Collecting networkx (from torch==2.2.0.dev20231121+cu121)
  Downloading https://download.pytorch.org/whl/nightly/networkx-3.0rc1-py3-none-any.whl (2.0 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.0/2.0 MB 387.1 MB/s eta 0:00:00
Collecting jinja2 (from torch==2.2.0.dev20231121+cu121)
  Downloading https://download.pytorch.org/whl/nightly/Jinja2-3.1.2-py3-none-any.whl (133 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 133.1/133.1 kB 365.3 MB/s eta 0:00:00
Collecting fsspec (from torch==2.2.0.dev20231121+cu121)
  Downloading https://download.pytorch.org/whl/nightly/fsspec-2023.4.0-py3-none-any.whl (153 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 154.0/154.0 kB 370.6 MB/s eta 0:00:00
Collecting pytorch-triton==2.1.0+6e4932cda8 (from torch==2.2.0.dev20231121+cu121)
  Downloading https://download.pytorch.org/whl/nightly/pytorch_triton-2.1.0%2B6e4932cda8-cp310-cp310-linux_x86_64.whl (125.4 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 125.4/125.4 MB 384.1 MB/s eta 0:00:00
Collecting nvidia-cuda-nvrtc-cu12==12.1.105 (from torch==2.2.0.dev20231121+cu121)
  Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (23.7 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 23.7/23.7 MB 404.9 MB/s eta 0:00:00
Collecting nvidia-cuda-runtime-cu12==12.1.105 (from torch==2.2.0.dev20231121+cu121)
  Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (823 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 823.6/823.6 kB 402.5 MB/s eta 0:00:00
Collecting nvidia-cuda-cupti-cu12==12.1.105 (from torch==2.2.0.dev20231121+cu121)
  Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (14.1 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 14.1/14.1 MB 383.9 MB/s eta 0:00:00
Collecting nvidia-cudnn-cu12==8.9.2.26 (from torch==2.2.0.dev20231121+cu121)
  Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl (731.7 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 731.7/731.7 MB 406.9 MB/s eta 0:00:00
Collecting nvidia-cublas-cu12==12.1.3.1 (from torch==2.2.0.dev20231121+cu121)
  Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl (410.6 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 410.6/410.6 MB 388.2 MB/s eta 0:00:00
Collecting nvidia-cufft-cu12==11.0.2.54 (from torch==2.2.0.dev20231121+cu121)
  Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl (121.6 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 121.6/121.6 MB 410.5 MB/s eta 0:00:00
Collecting nvidia-curand-cu12==10.3.2.106 (from torch==2.2.0.dev20231121+cu121)
  Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl (56.5 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 56.5/56.5 MB 272.9 MB/s eta 0:00:00
Collecting nvidia-cusolver-cu12==11.4.5.107 (from torch==2.2.0.dev20231121+cu121)
  Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl (124.2 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 124.2/124.2 MB 381.5 MB/s eta 0:00:00
Collecting nvidia-cusparse-cu12==12.1.0.106 (from torch==2.2.0.dev20231121+cu121)
  Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl (196.0 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 196.0/196.0 MB 394.6 MB/s eta 0:00:00
Collecting nvidia-nccl-cu12==2.19.3 (from torch==2.2.0.dev20231121+cu121)
  Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_nccl_cu12-2.19.3-py3-none-manylinux1_x86_64.whl (166.0 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 166.0/166.0 MB 384.7 MB/s eta 0:00:00
Collecting nvidia-nvtx-cu12==12.1.105 (from torch==2.2.0.dev20231121+cu121)
  Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (99 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 99.1/99.1 kB 281.8 MB/s eta 0:00:00
Collecting nvidia-nvjitlink-cu12 (from nvidia-cusolver-cu12==11.4.5.107->torch==2.2.0.dev20231121+cu121)
  Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_nvjitlink_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (19.8 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 19.8/19.8 MB 367.3 MB/s eta 0:00:00
Collecting MarkupSafe>=2.0 (from jinja2->torch==2.2.0.dev20231121+cu121)
  Downloading https://download.pytorch.org/whl/nightly/MarkupSafe-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (25 kB)
Collecting mpmath>=0.19 (from sympy->torch==2.2.0.dev20231121+cu121)
  Downloading https://download.pytorch.org/whl/nightly/mpmath-1.2.1-py3-none-any.whl (532 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 532.6/532.6 kB 391.3 MB/s eta 0:00:00
Installing collected packages: mpmath, typing-extensions, sympy, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, networkx, MarkupSafe, fsspec, filelock, pytorch-triton, nvidia-cusparse-cu12, nvidia-cudnn-cu12, jinja2, nvidia-cusolver-cu12, torch
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/114281
Approved by: https://github.com/malfet, https://github.com/huydhn
2023-11-22 00:10:03 +00:00

423 lines
14 KiB
Python
Executable File

#!/usr/bin/env python3
import os
import sys
from dataclasses import asdict, dataclass, field
from pathlib import Path
from typing import Dict, Iterable, List, Literal, Set
import generate_binary_build_matrix # type: ignore[import]
import jinja2
from typing_extensions import TypedDict # Python 3.11+
Arch = Literal["windows", "linux", "macos"]
GITHUB_DIR = Path(__file__).resolve().parent.parent
LABEL_CIFLOW_TRUNK = "ciflow/trunk"
LABEL_CIFLOW_UNSTABLE = "ciflow/unstable"
LABEL_CIFLOW_BINARIES = "ciflow/binaries"
LABEL_CIFLOW_PERIODIC = "ciflow/periodic"
LABEL_CIFLOW_BINARIES_LIBTORCH = "ciflow/binaries_libtorch"
LABEL_CIFLOW_BINARIES_CONDA = "ciflow/binaries_conda"
LABEL_CIFLOW_BINARIES_WHEEL = "ciflow/binaries_wheel"
@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
unstable: bool = False
def __post_init__(self) -> None:
if not self.isolated_workflow:
if LABEL_CIFLOW_PERIODIC not in self.labels:
self.labels.add(
LABEL_CIFLOW_TRUNK if not self.unstable else LABEL_CIFLOW_UNSTABLE
)
class Config(TypedDict):
num_shards: int
runner: str
@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 = ""
branches: str = "nightly"
# Mainly for macos
cross_compile_arm64: bool = False
macos_runner: str = "macos-12-xl"
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}-{self.branches}.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)
class OperatingSystem:
LINUX = "linux"
WINDOWS = "windows"
MACOS = "macos"
MACOS_ARM64 = "macos-arm64"
LINUX_AARCH64 = "linux-aarch64"
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_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_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,
libtorch_variants=["shared-with-deps"],
),
ciflow_config=CIFlowConfig(
labels={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,
libtorch_variants=["shared-with-deps"],
),
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_BINARIES, LABEL_CIFLOW_BINARIES_LIBTORCH},
isolated_workflow=True,
),
),
]
LINUX_BINARY_SMOKE_WORKFLOWS = [
BinaryBuildWorkflow(
os=OperatingSystem.LINUX,
package_type="manywheel",
build_configs=generate_binary_build_matrix.generate_wheels_matrix(
OperatingSystem.LINUX,
arches=["11.8", "12.1"],
python_versions=["3.8"],
),
branches="main",
),
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,
arches=["cpu"],
libtorch_variants=["shared-with-deps"],
),
branches="main",
),
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,
arches=["cpu"],
libtorch_variants=["shared-with-deps"],
),
branches="main",
),
]
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_BINARIES, LABEL_CIFLOW_BINARIES_WHEEL},
isolated_workflow=True,
),
),
BinaryBuildWorkflow(
os=OperatingSystem.WINDOWS,
package_type="conda",
build_configs=generate_binary_build_matrix.generate_conda_matrix(
OperatingSystem.WINDOWS
),
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_BINARIES, LABEL_CIFLOW_BINARIES_CONDA},
isolated_workflow=True,
),
),
BinaryBuildWorkflow(
os=OperatingSystem.WINDOWS,
package_type="libtorch",
abi_version=generate_binary_build_matrix.RELEASE,
build_configs=generate_binary_build_matrix.generate_libtorch_matrix(
OperatingSystem.WINDOWS,
generate_binary_build_matrix.RELEASE,
libtorch_variants=["shared-with-deps"],
),
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_BINARIES, LABEL_CIFLOW_BINARIES_LIBTORCH},
isolated_workflow=True,
),
),
BinaryBuildWorkflow(
os=OperatingSystem.WINDOWS,
package_type="libtorch",
abi_version=generate_binary_build_matrix.DEBUG,
build_configs=generate_binary_build_matrix.generate_libtorch_matrix(
OperatingSystem.WINDOWS,
generate_binary_build_matrix.DEBUG,
libtorch_variants=["shared-with-deps"],
),
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_BINARIES, LABEL_CIFLOW_BINARIES_LIBTORCH},
isolated_workflow=True,
),
),
]
WINDOWS_BINARY_SMOKE_WORKFLOWS = [
BinaryBuildWorkflow(
os=OperatingSystem.WINDOWS,
package_type="libtorch",
abi_version=generate_binary_build_matrix.RELEASE,
build_configs=generate_binary_build_matrix.generate_libtorch_matrix(
OperatingSystem.WINDOWS,
generate_binary_build_matrix.RELEASE,
arches=["cpu"],
libtorch_variants=["shared-with-deps"],
),
branches="main",
ciflow_config=CIFlowConfig(
isolated_workflow=True,
),
),
BinaryBuildWorkflow(
os=OperatingSystem.WINDOWS,
package_type="libtorch",
abi_version=generate_binary_build_matrix.DEBUG,
build_configs=generate_binary_build_matrix.generate_libtorch_matrix(
OperatingSystem.WINDOWS,
generate_binary_build_matrix.DEBUG,
arches=["cpu"],
libtorch_variants=["shared-with-deps"],
),
branches="main",
ciflow_config=CIFlowConfig(
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_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_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,
libtorch_variants=["shared-with-deps"],
),
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_BINARIES, LABEL_CIFLOW_BINARIES_LIBTORCH},
isolated_workflow=True,
),
),
BinaryBuildWorkflow(
os=OperatingSystem.MACOS_ARM64,
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,
libtorch_variants=["shared-with-deps"],
),
cross_compile_arm64=False,
macos_runner="macos-13-xlarge",
ciflow_config=CIFlowConfig(
labels={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_ARM64
),
cross_compile_arm64=False,
macos_runner="macos-13-xlarge",
ciflow_config=CIFlowConfig(
labels={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_BINARIES, LABEL_CIFLOW_BINARIES_CONDA},
isolated_workflow=True,
),
),
]
AARCH64_BINARY_BUILD_WORKFLOWS = [
BinaryBuildWorkflow(
os=OperatingSystem.LINUX_AARCH64,
package_type="manywheel",
build_configs=generate_binary_build_matrix.generate_wheels_matrix(
OperatingSystem.LINUX_AARCH64
),
ciflow_config=CIFlowConfig(
labels={LABEL_CIFLOW_BINARIES, LABEL_CIFLOW_BINARIES_WHEEL},
isolated_workflow=True,
),
),
]
def main() -> None:
jinja_env = jinja2.Environment(
variable_start_string="!{{",
loader=jinja2.FileSystemLoader(str(GITHUB_DIR.joinpath("templates"))),
undefined=jinja2.StrictUndefined,
)
# not ported yet
template_and_workflows = [
(
jinja_env.get_template("linux_binary_build_workflow.yml.j2"),
LINUX_BINARY_BUILD_WORFKLOWS,
),
(
jinja_env.get_template("linux_binary_build_workflow.yml.j2"),
AARCH64_BINARY_BUILD_WORKFLOWS,
),
(
jinja_env.get_template("linux_binary_build_workflow.yml.j2"),
LINUX_BINARY_SMOKE_WORKFLOWS,
),
(
jinja_env.get_template("windows_binary_build_workflow.yml.j2"),
WINDOWS_BINARY_BUILD_WORKFLOWS,
),
(
jinja_env.get_template("windows_binary_build_workflow.yml.j2"),
WINDOWS_BINARY_SMOKE_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}")
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)
if __name__ == "__main__":
main()