Home / Function/ compute_loss() — pytorch Function Reference

compute_loss() — pytorch Function Reference

Architecture documentation for the compute_loss() function in huggingface.py from the pytorch codebase.

Function python DynamoBenchmarks Microbenchmarking called by 1

Entity Profile

Dependency Diagram

graph TD
  d634fd0f_c466_4cf2_1f3d_f12982ecb29d["compute_loss()"]
  b66902f6_4c0e_bd3b_c664_55e9f6f9007d["forward_and_backward_pass()"]
  b66902f6_4c0e_bd3b_c664_55e9f6f9007d -->|calls| d634fd0f_c466_4cf2_1f3d_f12982ecb29d
  style d634fd0f_c466_4cf2_1f3d_f12982ecb29d fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

benchmarks/dynamo/huggingface.py lines 551–552

    def compute_loss(self, pred):
        return pred[0]

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Frequently Asked Questions

What does compute_loss() do?
compute_loss() is a function in the pytorch codebase.
What calls compute_loss()?
compute_loss() is called by 1 function(s): forward_and_backward_pass.

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