benchmark() — pytorch Function Reference
Architecture documentation for the benchmark() function in kernels.py from the pytorch codebase.
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Dependency Diagram
graph TD f0518c93_32fe_49c0_0cae_0cae28698405["benchmark()"] c590be4e_570d_df93_5556_2f7ce3f55af0["get_shapes()"] f0518c93_32fe_49c0_0cae_0cae28698405 -->|calls| c590be4e_570d_df93_5556_2f7ce3f55af0 38cd02c9_bda5_f921_f4c9_f7772e1a880b["benchmark_single_shape()"] f0518c93_32fe_49c0_0cae_0cae28698405 -->|calls| 38cd02c9_bda5_f921_f4c9_f7772e1a880b style f0518c93_32fe_49c0_0cae_0cae28698405 fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
benchmarks/dynamo/genai_layers/kernels.py lines 439–445
def benchmark(self):
for M, N in self.get_shapes():
print(f"Tensor dimensions: [{M}, {N}]")
torch_dtype = cutlass_torch.dtype(cutlass.BFloat16)
x = torch.randn(M, N, device="cuda", dtype=torch_dtype)
w = torch.randn(N, device="cuda", dtype=torch.float32)
self.benchmark_single_shape((x, w), setting=f"shape: [{M}, {N}]")
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Frequently Asked Questions
What does benchmark() do?
benchmark() is a function in the pytorch codebase.
What does benchmark() call?
benchmark() calls 2 function(s): benchmark_single_shape, get_shapes.
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