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mm_relu() — pytorch Function Reference

Architecture documentation for the mm_relu() function in bench_mm_fusion.py from the pytorch codebase.

Function python DynamoBenchmarks Configuration calls 1

Entity Profile

Dependency Diagram

graph TD
  37a0f22d_678f_c676_7bb9_c7482c462ae6["mm_relu()"]
  fe1cc36a_6b6c_badf_4954_01fbf4301526["mm()"]
  37a0f22d_678f_c676_7bb9_c7482c462ae6 -->|calls| fe1cc36a_6b6c_badf_4954_01fbf4301526
  style 37a0f22d_678f_c676_7bb9_c7482c462ae6 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

benchmarks/dynamo/microbenchmarks/bench_mm_fusion.py lines 35–37

    def mm_relu(a, b, bias):
        y = torch.mm(a, b)
        return torch.relu(y)

Domain

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Calls

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Frequently Asked Questions

What does mm_relu() do?
mm_relu() is a function in the pytorch codebase.
What does mm_relu() call?
mm_relu() calls 1 function(s): mm.

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