Commit Graph

7 Commits

Author SHA1 Message Date
Nikita Shulga
3a66a1cb99 [clang-tidy] Exclude cppcoreguidelines-avoid-magic-numbers (#57841)
Summary:
Add cppcoreguidelines-avoid-magic-numbers exclusion to clang-tidy
Remove existing nolint warnings using following script:
```
for file in `git ls-files | grep -v \.py`; do gsed '/^ *\/\/ NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers)/d' -i  $file; done
```

Pull Request resolved: https://github.com/pytorch/pytorch/pull/57841

Reviewed By: samestep

Differential Revision: D28295045

Pulled By: malfet

fbshipit-source-id: 7c6e8d1213c9593f169ed3df6a916498f1a97163
2021-05-07 20:02:33 -07:00
Nikita Shulga
4cb534f92e Make PyTorch code-base clang-tidy compliant (#56892)
Summary:
This is an automatic change generated by the following script:
```
#!/usr/bin/env python3
from subprocess import check_output, check_call
import os

def get_compiled_files_list():
    import json
    with open("build/compile_commands.json") as f:
        data = json.load(f)
    files = [os.path.relpath(node['file']) for node in data]
    for idx, fname in enumerate(files):
        if fname.startswith('build/') and fname.endswith('.DEFAULT.cpp'):
            files[idx] = fname[len('build/'):-len('.DEFAULT.cpp')]
    return files

def run_clang_tidy(fname):
    check_call(["python3", "tools/clang_tidy.py", "-c", "build", "-x", fname,"-s"])
    changes = check_output(["git", "ls-files", "-m"])
    if len(changes) == 0:
        return
    check_call(["git", "commit","--all", "-m", f"NOLINT stubs for {fname}"])

def main():
    git_files = check_output(["git", "ls-files"]).decode("ascii").split("\n")
    compiled_files = get_compiled_files_list()
    for idx, fname in enumerate(git_files):
        if fname not in compiled_files:
            continue
        if fname.startswith("caffe2/contrib/aten/"):
            continue
        print(f"[{idx}/{len(git_files)}] Processing {fname}")
        run_clang_tidy(fname)

if __name__ == "__main__":
    main()
```

Pull Request resolved: https://github.com/pytorch/pytorch/pull/56892

Reviewed By: H-Huang

Differential Revision: D27991944

Pulled By: malfet

fbshipit-source-id: 5415e1eb2c1b34319a4f03024bfaa087007d7179
2021-04-28 14:10:25 -07:00
frdong
d3f784244e fix comparison of narrow type with wide type in loop condition part2 (#54471)
Summary:
Follow up PR of https://github.com/pytorch/pytorch/issues/53951.
This PR fixes remaining semmle warning: comparison of narrow type with wide type in loop condition

Pull Request resolved: https://github.com/pytorch/pytorch/pull/54471

Reviewed By: bdhirsh

Differential Revision: D27262493

Pulled By: malfet

fbshipit-source-id: 05765758da79699936af11de237c3ff3d34373d6
2021-03-23 23:38:38 -07:00
frdong
92770d25cd fix comparison of narrow type with wide type in loop condition (#53951)
Summary:
fix Semmle warning: Comparison of narrow type with wide type in loop condition

For example there is below piece of code:
for (int i=0; i<array.size(); ++i) {}

The problem is that array.size() return type is size_t can be larger type than int depending on the implementation so there is chance that i overflows (for very large array that array size is beyond the range of integer) and this loop will never be terminated.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/53951

Reviewed By: zou3519

Differential Revision: D27181495

Pulled By: malfet

fbshipit-source-id: 0612c5cedcdc656c193085e7fbb87dd163f20688
2021-03-22 16:40:35 -07:00
Tongliang Liao
55511004d1 Resolve errors in perfkernel for Windows (#16031)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/16031

1. MSVC only has _mm_prefetch(const char*, int). Fixed in both python codegen and C++ files.
2. uint32_t in "cvtsh_ss_bugfix.h" requires "#include <cstdint>".
3. Some files use gflags headers. Add dependency via c10.
4. Isolate arch flags with interface library and private compile options.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/15753

Reviewed By: dskhudia

Differential Revision: D13636233

Pulled By: jspark1105

fbshipit-source-id: cdcbd4240e07b749554a2a5676c11af88f23c31d
2019-01-16 21:51:00 -08:00
Jongsoo Park
1e0eab5df8 minimize header file includes from _avx2.cc (#14950)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/14950

Minimize the number of headers included from _avx2.cc files to avoid accidental compilation of functions defined the header files reused by other translation units that can lead to illegal instruction errors.

Reviewed By: dskhudia

Differential Revision: D13394483

fbshipit-source-id: 67149a6fb51f7f047e745bfe395cb6dd4ae7c1ae
2018-12-13 00:18:11 -08:00
Wei Wen
0e30fa6f3c Faster random number generation in fused_rowwise_random_quantization_ops (#10634)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/10634

```
Trying example: test_speed_of_rand_quantization(self=<caffe2.caffe2.python.operator_test.rand_quantization_op_speed_test.TestSpeedFloatToFusedRandRowwiseQuantized testMethod=test_speed_of_rand_quantization>, bitwidth_=2, random_=True, data_shape_=array([1024, 1224]), gc=, dc=[, device_type: 1])
Sub+Scale+Sum time: 1.9944190979003908 ms
Quantizing time: 2.080512046813965 ms (1.0431669296609765X)
De-quantizing time: 0.7375001907348633 ms (0.36978195380863577X)
```

```
Trying example: test_speed_of_rand_quantization(self=<caffe2.caffe2.python.operator_test.rand_quantization_op_speed_test.TestSpeedFloatToFusedRandRowwiseQuantized testMethod=test_speed_of_rand_quantization>, bitwidth_=1, random_=True, data_shape_=array([1024, 1224]), gc=device_type: 1, dc=[, device_type: 1])
Sub+Scale+Sum time: 1.6691923141479492 ms
Quantizing time: 7.500243186950684 ms (4.493336761366071X)
De-quantizing time: 1.1209726333618164 ms (0.6715658967876477X)
```

Reviewed By: jspark1105

Differential Revision: D8849770

fbshipit-source-id: 2bb2bac7e633f647f38e419ce980b8958f3bcae2
2018-08-22 13:15:46 -07:00