Home / Function/ patch_torch_manual_seed() — pytorch Function Reference

patch_torch_manual_seed() — pytorch Function Reference

Architecture documentation for the patch_torch_manual_seed() function in common.py from the pytorch codebase.

Function python DynamoBenchmarks Configuration called by 2

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Dependency Diagram

graph TD
  41369485_8a81_562f_2f09_b8d03a5222f0["patch_torch_manual_seed()"]
  9c8df7bf_0e05_9bbb_5e2f_6c88f28b52d4["timed()"]
  9c8df7bf_0e05_9bbb_5e2f_6c88f28b52d4 -->|calls| 41369485_8a81_562f_2f09_b8d03a5222f0
  c9be2096_e6d7_2374_ad2e_a6e33f435ada["run()"]
  c9be2096_e6d7_2374_ad2e_a6e33f435ada -->|calls| 41369485_8a81_562f_2f09_b8d03a5222f0
  style 41369485_8a81_562f_2f09_b8d03a5222f0 fill:#6366f1,stroke:#818cf8,color:#fff

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Source Code

benchmarks/dynamo/common.py lines 540–559

def patch_torch_manual_seed():
    """Make torch manual seed deterministic. Helps with accuracy testing."""

    def deterministic_torch_manual_seed(*args, **kwargs):
        from torch._C import default_generator

        seed = 1337
        if HAS_CUDA:
            import torch.cuda

            if not torch.cuda._is_in_bad_fork():
                torch.cuda.manual_seed_all(seed)
        if HAS_XPU:
            import torch.xpu

            if not torch.xpu._is_in_bad_fork():
                torch.xpu.manual_seed_all(seed)
        return default_generator.manual_seed(seed)

    torch.manual_seed = deterministic_torch_manual_seed

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Frequently Asked Questions

What does patch_torch_manual_seed() do?
patch_torch_manual_seed() is a function in the pytorch codebase.
What calls patch_torch_manual_seed()?
patch_torch_manual_seed() is called by 2 function(s): run, timed.

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