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165 lines
7.4 KiB
Python
Executable File
165 lines
7.4 KiB
Python
Executable File
#!/usr/bin/env python
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from pathlib import Path
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import jinja2
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DOCKER_REGISTRY = "308535385114.dkr.ecr.us-east-1.amazonaws.com"
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GITHUB_DIR = Path(__file__).parent.parent
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CPU_TEST_RUNNER = "linux.2xlarge"
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CUDA_TEST_RUNNER = "linux.8xlarge.nvidia.gpu"
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class PyTorchLinuxWorkflow:
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def __init__(self, build_environment: str, docker_image_base: str):
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self.build_environment = build_environment
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self.docker_image_base = docker_image_base
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self.test_runner_type = CPU_TEST_RUNNER
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if "cuda" in build_environment:
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self.test_runner_type = CUDA_TEST_RUNNER
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def generate_workflow_file(
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self, workflow_template: jinja2.Template, jinja_env: jinja2.Environment
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) -> Path:
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output_file_path = GITHUB_DIR.joinpath(
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f"workflows/{self.build_environment}.yml"
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)
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with open(output_file_path, "w") as output_file:
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output_file.write(
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workflow_template.render(
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build_environment=self.build_environment,
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docker_image_base=self.docker_image_base,
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test_runner_type=self.test_runner_type
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)
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)
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output_file.write('\n')
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return output_file_path
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WORKFLOWS = [
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PyTorchLinuxWorkflow(
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build_environment="pytorch-linux-xenial-py3.6-gcc5.4",
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docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3.6-gcc5.4",
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),
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# PyTorchLinuxWorkflow(
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# build_environment="pytorch-paralleltbb-linux-xenial-py3.6-gcc5.4",
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# docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3.6-gcc5.4",
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# ),
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# PyTorchLinuxWorkflow(
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# build_environment="pytorch-parallelnative-linux-xenial-py3.6-gcc5.4",
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# docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3.6-gcc5.4",
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# ),
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# PyTorchLinuxWorkflow(
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# build_environment="pytorch-pure_torch-linux-xenial-py3.6-gcc5.4",
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# docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3.6-gcc5.4",
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# ),
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# PyTorchLinuxWorkflow(
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# build_environment="pytorch-linux-xenial-py3.6-gcc7",
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# docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3.6-gcc7",
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# ),
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# PyTorchLinuxWorkflow(
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# build_environment="pytorch-linux-xenial-py3-clang5-asan",
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# docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang5-asan",
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# ),
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# PyTorchLinuxWorkflow(
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# build_environment="pytorch-linux-xenial-py3-clang7-onnx",
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# docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang7-onnx",
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# ),
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# PyTorchLinuxWorkflow(
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# build_environment="pytorch-linux-xenial-cuda10.2-cudnn7-py3-gcc7",
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# docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-cuda10.2-cudnn7-py3-gcc7",
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# ),
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# PyTorchLinuxWorkflow(
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# build_environment="pytorch-linux-xenial-cuda11.1-cudnn8-py3-gcc7",
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# docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-cuda11.1-cudnn8-py3-gcc7",
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# ),
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# PyTorchLinuxWorkflow(
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# build_environment="pytorch-libtorch-linux-xenial-cuda11.1-cudnn8-py3-gcc7",
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# docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-cuda11.1-cudnn8-py3-gcc7",
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# ),
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# PyTorchLinuxWorkflow(
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# build_environment="pytorch-linux-bionic-py3.6-clang9-noarch",
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# docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-bionic-py3.6-clang9",
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# ),
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# PyTorchLinuxWorkflow(
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# build_environment="pytorch-xla-linux-bionic-py3.6-clang9",
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# docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-bionic-py3.6-clang9",
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# ),
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# PyTorchLinuxWorkflow(
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# build_environment="pytorch-vulkan-linux-bionic-py3.6-clang9",
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# docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-bionic-py3.6-clang9",
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# ),
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# PyTorchLinuxWorkflow(
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# build_environment="pytorch-linux-bionic-py3.8-gcc9-coverage",
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# docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-bionic-py3.8-gcc9",
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# ),
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# PyTorchLinuxWorkflow(
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# build_environment="pytorch-linux-bionic-rocm3.9-py3.6",
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# docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-bionic-rocm3.9-py3.6",
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# ),
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# PyTorchLinuxWorkflow(
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# build_environment="pytorch-linux-xenial-py3-clang5-android-ndk-r19c-x86_32",
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# docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang5-android-ndk-r19c",
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# ),
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# PyTorchLinuxWorkflow(
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# build_environment="pytorch-linux-xenial-py3-clang5-android-ndk-r19c-x86_64",
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# docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang5-android-ndk-r19c",
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# ),
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# PyTorchLinuxWorkflow(
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# build_environment="pytorch-linux-xenial-py3-clang5-android-ndk-r19c-arm-v7a",
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# docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang5-android-ndk-r19c",
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# ),
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# PyTorchLinuxWorkflow(
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# build_environment="pytorch-linux-xenial-py3-clang5-android-ndk-r19c-arm-v8a",
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# docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang5-android-ndk-r19c",
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# ),
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# PyTorchLinuxWorkflow(
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# build_environment="pytorch-linux-xenial-py3-clang5-mobile",
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# docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang5-asan",
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# ),
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# PyTorchLinuxWorkflow(
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# build_environment="pytorch-linux-xenial-py3-clang5-mobile-custom-dynamic",
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# docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang5-android-ndk-r19c",
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# ),
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# PyTorchLinuxWorkflow(
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# build_environment="pytorch-linux-xenial-py3-clang5-mobile-custom-static",
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# docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang5-android-ndk-r19c",
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# ),
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# PyTorchLinuxWorkflow(
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# build_environment="pytorch-linux-xenial-py3-clang5-mobile-code-analysis",
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# docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang5-android-ndk-r19c",
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# ),
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# PyTorchLinuxWorkflow(
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# build_environment="pytorch-linux-xenial-py3-clang5-android-ndk-r19c-x86_32",
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# docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang5-android-ndk-r19c",
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# ),
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# PyTorchLinuxWorkflow(
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# build_environment="pytorch-linux-xenial-py3-clang5-android-ndk-r19c-x86_64",
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# docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang5-android-ndk-r19c",
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# ),
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# PyTorchLinuxWorkflow(
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# build_environment="pytorch-linux-xenial-py3-clang5-android-ndk-r19c-arm-v7a",
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# docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang5-android-ndk-r19c",
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# ),
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# PyTorchLinuxWorkflow(
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# build_environment="pytorch-linux-xenial-py3-clang5-android-ndk-r19c-arm-v8a",
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# docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang5-android-ndk-r19c",
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# ),
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]
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if __name__ == "__main__":
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jinja_env = jinja2.Environment(
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variable_start_string="!{{",
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loader=jinja2.FileSystemLoader(str(GITHUB_DIR.joinpath("templates"))),
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)
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workflow_template = jinja_env.get_template("linux_ci_workflow.yml.in")
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for workflow in WORKFLOWS:
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print(
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workflow.generate_workflow_file(
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workflow_template=workflow_template,
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jinja_env=jinja_env
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)
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)
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