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https://github.com/pytorch/pytorch.git
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465fe4d9f7
Per the discussion with @nWEIdia, this resumes the work on https://github.com/pytorch/pytorch/pull/157870 to enable PT2 benchmark on B200 ### Testing https://github.com/pytorch/pytorch/actions/runs/16615101382 Pull Request resolved: https://github.com/pytorch/pytorch/pull/158011 Approved by: https://github.com/nWEIdia, https://github.com/atalman
111 lines
3.2 KiB
Python
Executable File
111 lines
3.2 KiB
Python
Executable File
#!/usr/bin/env python3
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import argparse
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import os
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import sys
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# Run only this selected group of models, leave this empty to run everything
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TORCHBENCH_ONLY_MODELS = [
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m.strip() for m in os.getenv("TORCHBENCH_ONLY_MODELS", "").split(",") if m.strip()
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]
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# Note - hf and timm have their own version of this, torchbench does not
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# TODO(voz): Someday, consolidate all the files into one runner instead of a shim like this...
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def model_names(filename: str) -> set[str]:
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names = set()
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with open(filename) as fh:
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lines = fh.readlines()
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lines = [line.rstrip() for line in lines]
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for line in lines:
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line_parts = line.split(" ")
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if len(line_parts) == 1:
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line_parts = line.split(",")
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model_name = line_parts[0]
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if TORCHBENCH_ONLY_MODELS and model_name not in TORCHBENCH_ONLY_MODELS:
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continue
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names.add(model_name)
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return names
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TIMM_MODEL_NAMES = model_names(
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os.path.join(os.path.dirname(__file__), "timm_models_list.txt")
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)
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HF_MODELS_FILE_NAME = model_names(
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os.path.join(os.path.dirname(__file__), "huggingface_models_list.txt")
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)
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TORCHBENCH_MODELS_FILE_NAME = model_names(
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os.path.join(os.path.dirname(__file__), "all_torchbench_models_list.txt")
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)
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# timm <> HF disjoint
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assert TIMM_MODEL_NAMES.isdisjoint(HF_MODELS_FILE_NAME)
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# timm <> torch disjoint
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assert TIMM_MODEL_NAMES.isdisjoint(TORCHBENCH_MODELS_FILE_NAME)
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# torch <> hf disjoint
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assert TORCHBENCH_MODELS_FILE_NAME.isdisjoint(HF_MODELS_FILE_NAME)
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def parse_args(args=None):
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parser = argparse.ArgumentParser()
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parser.add_argument(
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"--only",
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help="""Run just one model from whichever model suite it belongs to. Or
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specify the path and class name of the model in format like:
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--only=path:<MODEL_FILE_PATH>,class:<CLASS_NAME>
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Due to the fact that dynamo changes current working directory,
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the path should be an absolute path.
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The class should have a method get_example_inputs to return the inputs
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for the model. An example looks like
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```
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class LinearModel(nn.Module):
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def __init__(self):
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super().__init__()
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self.linear = nn.Linear(10, 10)
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def forward(self, x):
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return self.linear(x)
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def get_example_inputs(self):
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return (torch.randn(2, 10),)
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```
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""",
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)
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return parser.parse_known_args(args)
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if __name__ == "__main__":
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args, unknown = parse_args()
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if args.only:
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name = args.only
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if name in TIMM_MODEL_NAMES:
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import timm_models
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timm_models.timm_main()
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elif name in HF_MODELS_FILE_NAME:
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import huggingface
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huggingface.huggingface_main()
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elif name in TORCHBENCH_MODELS_FILE_NAME:
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import torchbench
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torchbench.torchbench_main()
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else:
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print(f"Illegal model name? {name}")
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sys.exit(-1)
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else:
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import torchbench
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torchbench.torchbench_main()
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import huggingface
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huggingface.huggingface_main()
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import timm_models
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timm_models.timm_main()
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