Commit Graph

13 Commits

Author SHA1 Message Date
30fb2c4aba [lint] autoformat test/cpp and torch/csrc
Let's have some fun.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/78828

Approved by: https://github.com/ezyang
2022-06-11 21:11:16 +00:00
afb742382a use irange for loops 10 (#69394)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/69394

Modified loops in files under fbsource/fbcode/caffe2/ from the format
```
for(TYPE var=x0;var<x_max;x++)
```
to the format
```
for(const auto var: irange(xmax))
```

This was achieved by running r-barnes's loop upgrader script (D28874212) with some modification to exclude all files under /torch/jit and a number of reversions or unused variable suppression warnings added by hand.

Test Plan: Sandcastle

Reviewed By: malfet

Differential Revision: D32837991

fbshipit-source-id: fc7c4f76d2f32a17a0faf329294b3fe7cb81df32
2021-12-09 09:49:34 -08:00
f587267dc7 Revert D31705359: use irange for loops 8
Test Plan: revert-hammer

Differential Revision:
D31705359 (17e5200441)

Original commit changeset: c9ea2fbc0f9c

fbshipit-source-id: 08fff2d12beca953ad30dd0baabf86e39ac84f14
2021-12-02 12:55:08 -08:00
17e5200441 use irange for loops 8 (#66743)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/66743

Modified loops in files under fbsource/fbcode/caffe2/ from the format

`for(TYPE var=x0;var<x_max;x++)`

to the format

`for(const auto var: irange(xmax))`

This was achieved by running r-barnes's loop upgrader script (D28874212) with some modification to exclude all files under /torch/jit and a number of reversions or unused variable suppression warnings added by hand.

Test Plan: Sandcastle

Reviewed By: malfet

Differential Revision: D31705359

fbshipit-source-id: c9ea2fbc0f9cd29e97a52dcb203addc5f2abb09b
2021-12-02 10:21:29 -08:00
2f099c7555 Revert D30652629: use irange for loops
Test Plan: revert-hammer

Differential Revision:
D30652629 (687c2267d4)

Original commit changeset: 0ae6c4bbbb55

fbshipit-source-id: 5c4f067b584a021c8c9656454d1ee60999600fb3
2021-10-15 15:23:10 -07:00
687c2267d4 use irange for loops (#66234)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/66234

Modified loops in files under fbsource/fbcode/caffe2/ from the format

`for(TYPE var=x0;var<x_max;x++)`

to the format

`for(const auto var: irange(xmax))`

This was achieved by running r-barnes's loop upgrader script (D28874212) with some modification to exclude all files under /torch/jit and a number of reversions or unused variable suppression warnings added by hand.

bypass_size_limit
allow-large-files

Test Plan: Sandcastle

Reviewed By: ngimel

Differential Revision: D30652629

fbshipit-source-id: 0ae6c4bbbb554bad42e372792a6430e1acf15e3e
2021-10-15 13:50:33 -07:00
a9b0a921d5 Disable avoid-non-const-global-variables lint check (#62008)
Summary:
As GoogleTest `TEST` macro is non-compliant with it as well as `DEFINE_DISPATCH`

All changes but the ones to `.clang-tidy` are generated using following script:
```
for i in `find . -type f -iname "*.c*" -or -iname "*.h"|xargs grep cppcoreguidelines-avoid-non-const-global-variables|cut -f1 -d:|sort|uniq`;  do sed -i "/\/\/ NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)/d" $i; done
```

Pull Request resolved: https://github.com/pytorch/pytorch/pull/62008

Reviewed By: driazati, r-barnes

Differential Revision: D29838584

Pulled By: malfet

fbshipit-source-id: 1b2f8602c945bd4ce50a9bfdd204755556e31d13
2021-07-22 18:04:40 -07:00
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
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
5180caeeb4 Remove deprecated spectral ops from torch namespace (#48594)
Summary:
Ref https://github.com/pytorch/pytorch/issues/42175

This removes the 4 deprecated spectral functions: `torch.{fft,rfft,ifft,irfft}`. `torch.fft` is also now imported by by default.

The actual `at::native` functions are still used in `torch.stft` so can't be full removed yet. But will once https://github.com/pytorch/pytorch/issues/47601 has been merged.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/48594

Reviewed By: heitorschueroff

Differential Revision: D25298929

Pulled By: mruberry

fbshipit-source-id: e36737fe8192fcd16f7e6310f8b49de478e63bf0
2020-12-05 04:12:32 -08:00
da7863f46b Add one dimensional FFTs to torch.fft namespace (#43011)
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/43011

Test Plan: Imported from OSS

Reviewed By: ngimel

Differential Revision: D23751850

Pulled By: mruberry

fbshipit-source-id: 8dc5fec75102d8809eeb85a3d347ba1b5de45b33
2020-09-19 23:32:22 -07:00
f4695203c2 Fixes fft function calls for C++ API (#43749)
Summary:
Fixes https://github.com/pytorch/pytorch/issues/43732.

Requires importing the fft namespace in the C++ API, just like the Python API does, to avoid clobbering torch::fft the function.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/43749

Reviewed By: glaringlee

Differential Revision: D23391544

Pulled By: mruberry

fbshipit-source-id: d477d0b6d9a689d5c154ad6c31213a7d96fdf271
2020-08-28 12:41:30 -07:00
ccfce9d4a9 Adds fft namespace (#41911)
Summary:
This PR creates a new namespace, torch.fft (torch::fft) and puts a single function, fft, in it. This function is analogous to is a simplified version of NumPy's [numpy.fft.fft](https://numpy.org/doc/1.18/reference/generated/numpy.fft.fft.html?highlight=fft#numpy.fft.fft) that accepts no optional arguments. It is intended to demonstrate how to add and document functions in the namespace, and is not intended to deprecate the existing torch.fft function.

Adding this namespace was complicated by the existence of the torch.fft function in Python. Creating a torch.fft Python module makes this name ambiguous: does it refer to a function or module? If the JIT didn't exist, a solution to this problem would have been to make torch.fft refer to a callable class that mimicked both the function and module. The JIT, however, cannot understand this pattern. As a workaround it's required to explicitly `import torch.fft` to access the torch.fft.fft function in Python:

```
import torch.fft

t = torch.randn(128, dtype=torch.cdouble)
torch.fft.fft(t)
```

See https://github.com/pytorch/pytorch/issues/42175 for future work. Another possible future PR is to get the JIT to understand torch.fft as a callable class so it need not be imported explicitly to be used.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/41911

Reviewed By: glaringlee

Differential Revision: D22941894

Pulled By: mruberry

fbshipit-source-id: c8e0b44cbe90d21e998ca3832cf3a533f28dbe8d
2020-08-06 00:20:50 -07:00