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Enable possibly-undefined error code (#118533)

Browse Source 
Fixes https://github.com/pytorch/pytorch/issues/118129

Suppressions automatically added with

```
import re

with open("error_file.txt", "r") as f:
    errors = f.readlines()

error_lines = {}
for error in errors:
    match = re.match(r"(.*):(\d+):\d+: error:.*\[(.*)\]", error)
    if match:
        file_path, line_number, error_type = match.groups()
        if file_path not in error_lines:
            error_lines[file_path] = {}
        error_lines[file_path][int(line_number)] = error_type

for file_path, lines in error_lines.items():
    with open(file_path, "r") as f:
        code = f.readlines()
    for line_number, error_type in sorted(lines.items(), key=lambda x: x[0], reverse=True):
        code[line_number - 1] = code[line_number - 1].rstrip() + f"  # type: ignore[{error_type}]\n"
    with open(file_path, "w") as f:
        f.writelines(code)
```

Signed-off-by: Edward Z. Yang <ezyang@meta.com>

Pull Request resolved: https://github.com/pytorch/pytorch/pull/118533
Approved by: https://github.com/Skylion007, https://github.com/zou3519
This commit is contained in:
Edward Z. Yang
2024-01-29 18:03:12 -08:00
committed by PyTorch MergeBot
parent 5dfcf07449
commit 4f13f69a45
94 changed files with 200 additions and 197 deletions
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2
torch/quantization/_quantized_conversions.py
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@ -44,7 +44,7 @@ def quantized_weight_reorder_for_mixed_dtypes_linear_cutlass(
else:
outp = weight
ncols, nrows = outp.shape
ncols, nrows = outp.shape # type: ignore[possibly-undefined]
assert nrows % (32 if dtypeq == torch.quint4x2 else 64) == 0
assert ncols % 64 == 0