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Remove unnecessary "# noqa: set_linter" comments (#159467)

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Pull Request resolved: https://github.com/pytorch/pytorch/pull/159467
Approved by: https://github.com/eellison
This commit is contained in:
Tom Ritchford
2025-08-06 18:25:16 +00:00
committed by PyTorch MergeBot
parent 289f62ce8a
commit a5725965ea
4 changed files with 5 additions and 6 deletions
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2
torch/_inductor/autotune_process.py
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@ -764,7 +764,7 @@ class CUDABenchmarkRequest(GPUDeviceBenchmarkMixin, BenchmarkRequest):
return
self.ensure_dll_loaded()
unique_input_count = len(
{meta.name for meta in self.input_tensor_meta} # noqa: set_linter
dict.fromkeys(meta.name for meta in self.input_tensor_meta)
)
args = [c_void_p(None) for _ in range(unique_input_count + 1)]
stream_ptr = c_void_p(torch.cuda.current_stream().cuda_stream)

2
torch/_inductor/codegen/rocm/rocm_benchmark_request.py
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@ -96,7 +96,7 @@ class ROCmBenchmarkRequest(GPUDeviceBenchmarkMixin, BenchmarkRequest):
return
self.ensure_dll_loaded()
unique_input_count = len(
{meta.name for meta in self.input_tensor_meta} # noqa: set_linter
dict.fromkeys(meta.name for meta in self.input_tensor_meta)
)
args = [c_void_p(None) for _ in range(unique_input_count + 1)]
stream_ptr = c_void_p(torch.cuda.current_stream().cuda_stream)

2
torch/_inductor/codegen/triton.py
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@ -3970,8 +3970,8 @@ class TritonKernel(SIMDKernel[TritonCSEVariable]):
optimize_mem = V.graph.is_inference or V.graph.is_backward
inductor_meta = {
# Triton will not accept an OrderedSet for autotune_hints
"grid_type": self._get_grid_type().__name__,
# Triton will not accept an OrderedSet for autotune_hints
"autotune_hints": set(self.autotune_hints), # noqa: set_linter
"kernel_name": str(Placeholder.DESCRIPTIVE_NAME),
"mutated_arg_names": mutated_args,

5
torch/_inductor/utils.py
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@ -3366,13 +3366,12 @@ def tabulate_2d(elements: Sequence[Sequence[T]], headers: Sequence[T]) -> str:
for i, e in enumerate(row):
widths[i] = max(widths[i], len(str(e)))
lines = []
# Need nested {} for string formatting; ignore SET_LINTER here
lines.append("|".join(f" {h:{w}} " for h, w in zip(headers, widths))) # noqa: set_linter
lines.append("|".join(f" {h:{w}} " for h, w in zip(headers, widths)))
# widths whitespace horizontal separators
total_width = sum(widths) + (len(widths) * 2) + (len(widths) - 1)
lines.append("-" * total_width)
for row in elements:
lines.append("|".join(f" {e:{w}} " for e, w in zip(row, widths))) # noqa: set_linter
lines.append("|".join(f" {e:{w}} " for e, w in zip(row, widths)))
return "\n".join(lines)