get_benchmark_indices() — pytorch Function Reference
Architecture documentation for the get_benchmark_indices() function in common.py from the pytorch codebase.
Entity Profile
Dependency Diagram
graph TD e9a82af3_ba81_409b_9d46_c9e701ace22a["get_benchmark_indices()"] a022c1fd_0072_4493_ca52_f1e989604c2c["iter_model_names()"] a022c1fd_0072_4493_ca52_f1e989604c2c -->|calls| e9a82af3_ba81_409b_9d46_c9e701ace22a style e9a82af3_ba81_409b_9d46_c9e701ace22a fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
benchmarks/dynamo/common.py lines 2087–2094
def get_benchmark_indices(self, length):
start = self._args.partition_id * (length // self._args.total_partitions)
end = (
(self._args.partition_id + 1) * (length // self._args.total_partitions)
if self._args.partition_id < self._args.total_partitions - 1
else length
)
return start, end
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Frequently Asked Questions
What does get_benchmark_indices() do?
get_benchmark_indices() is a function in the pytorch codebase.
What calls get_benchmark_indices()?
get_benchmark_indices() is called by 1 function(s): iter_model_names.
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