Commit Graph

22 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
81d765ef1f Fix sign-compare violations in cpp tests
Prerequisite change for enabling `-Werror=sign-compare` across PyTorch repo

Pull Request resolved: https://github.com/pytorch/pytorch/pull/75080

Approved by: https://github.com/atalman
2022-04-04 23:05:31 +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
c6e9e9359f [Codemod][GleanFbcode] Remove dead includes in caffe2/test (#39023)
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/39023

Reviewed By: orionr

Differential Revision: D21702529

fbshipit-source-id: 6945bba95609102409850b105a8a091e33b8acc9
2020-05-27 14:07:26 -07:00
a54416d208 [C++ API] Remove deprecated torch::nn::BatchNorm / FeatureDropout / modules_ordered_dict and torch::nn::init::Nonlinearity / FanMode (#34508)
Summary:
This PR is BC-breaking in the following way:
- The deprecated `torch::nn::BatchNorm` is removed in favor of `torch::nn::BatchNorm{1,2,3}d`
- The deprecated `torch::nn::FeatureDropout` is removed in favor of `torch::nn::Dropout{2,3}d`
- The deprecated `torch::nn::modules_ordered_dict` is removed. User should do `Sequential sequential({{"m1", MyModule(1)}, {"m2", MyModule(2)}})` instead.
- The deprecated `torch::nn::init::Nonlinearity` is removed, in favor of the following enums:
    - `torch::kLinear`
    - `torch::kConv1D`
    - `torch::kConv2D`
    - `torch::kConv3D`
    - `torch::kConvTranspose1D`
    - `torch::kConvTranspose2D`
    - `torch::kConvTranspose3D`
    - `torch::kSigmoid`
    - `torch::kTanh`
    - `torch::kReLU`
    - `torch::kLeakyReLU`
- The deprecated `torch::nn::init::FanMode` is removed, in favor of the following enums:
    - `torch::kFanIn`
    - `torch::kFanOut`
Pull Request resolved: https://github.com/pytorch/pytorch/pull/34508

Differential Revision: D20351601

Pulled By: yf225

fbshipit-source-id: cca0cd112f29a31bb023e348ca8f82780e42bea3
2020-03-12 10:09:58 -07:00
3655975565 Add allow_rebase_history flag and fix codegen functions for multiple views (#32790)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/32790

Same as https://github.com/pytorch/pytorch/pull/31990 but without the first commit in the stack that is problematic for a lot of people.

Test Plan: Imported from OSS

Differential Revision: D19814116

Pulled By: albanD

fbshipit-source-id: d104911a5b098a5807b4bc08b69803ebd4f69fa6
2020-02-11 07:16:02 -08:00
db8ce7ea2d Back out "Make autogen functions correct for multiple outputs and views" (#32681)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/32681

Original commit changeset: a2b41c2d231e

Test Plan: fb and oss tests

Reviewed By: hudeven

Differential Revision: D19591864

fbshipit-source-id: 7068b5563e37bc9a5d415fd535c73fd9d71fe131
2020-01-27 19:54:34 -08:00
3ab30753e9 Make autogen functions correct for multiple outputs and views (#31990)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/31990

This PR does three things:
- Add a new `allow_rebase_history` flag to the differentiable views. If set, trying to rebase their history will raise an error.
- Make sure that the codegen functions verify this flag before doing inplace operations so that they fail before doing the inplace modification.
- Make sure the codegen functions set this flag properly when we don't support rebasing the history of the output.

The codegen change can be found [here](4bf180caa0).

Test Plan: Imported from OSS

Differential Revision: D19409649

Pulled By: albanD

fbshipit-source-id: a2b41c2d231e952ecfe162bdb6bad620ac595703
2020-01-24 14:32:28 -08:00
2bcac59a30 Use default dtype for torch::tensor(floating_point_values) and torch::tensor(empty braced-init-list) when dtype is not specified (#29632)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/29632

This PR is BC-breaking in the following way:

Previously, C++ `torch::tensor` with a floating-point literal with no suffix (e.g. `torch::tensor(1.1)`) or a (nested) braced-init-list of
floating-point literals with no suffix (e.g. `torch::tensor({{1.1, 2.2}})` produces a tensor with dtype `at::kDouble`. After this PR, it produces a tensor with dtype `torch::get_default_dtype()`, matching Python `torch.tensor` behavior.

Test Plan: Imported from OSS

Differential Revision: D18465819

Pulled By: yf225

fbshipit-source-id: 6834fe50335c677bc3832f2a5e9cf8d1ede9f665
2019-11-13 15:17:11 -08:00
eb4bb00a9c Use c10::variant-based enums for Nonlinearity and FanMode
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/27933

Test Plan: Imported from OSS

Differential Revision: D18009044

Pulled By: yf225

fbshipit-source-id: e88229ee30badf7a699f62af61d1e88debc0dc7d
2019-10-18 17:48:34 -07:00
aad5071206 Use torch::variant for enums in C++ API
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/26837

Test Plan: Imported from OSS

Differential Revision: D17579438

Pulled By: yf225

fbshipit-source-id: 9ac59df28a317fdb3be2cc02c65962ad99117127
2019-10-16 22:40:57 -07:00
e8087a3060 Change C++ API test files to only include torch/torch.h (#27067)
Summary:
One of the purposes of the C++ API tests in `test/cpp/api/` should be to check that including `torch/torch.h` is a sufficient prerequisite for using all C++ frontend features. This PR change ensures that.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/27067

Differential Revision: D17856815

Pulled By: yf225

fbshipit-source-id: 49c057bd807b003e4a00f6ba73131d763a0f277a
2019-10-10 09:46:29 -07:00
27d4b34ea6 Add temporary torch::k{name} enum declarations (#27051)
Summary:
This PR adds temporary declarations for `torch::k{name}` enums, so that we can submit a PR to rename the enum usage in torchvision. And then, after the changes to torchvision is done, we can remove the temporary declarations in https://github.com/pytorch/pytorch/pull/26837 to officially move over to using `c10::variant` for enums.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/27051

Differential Revision: D17672220

Pulled By: yf225

fbshipit-source-id: 4ae77634e8c7efa3404698f7c1a69177cbb5dab3
2019-09-30 13:38:29 -07:00
31ff0ecd2b Fix torch::nn::init::orthogonal_ with CNNs (#18915)
Summary:
Fixes #18518

I changed the C++ API torch::nn::init::orthogonal_ implementation to match the Python implementation.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/18915

Differential Revision: D14851833

Pulled By: ezyang

fbshipit-source-id: 45b5e9741582777c203e9ebed564ab3ac1f94baf
2019-04-09 10:39:15 -07:00
1cdcdd78af Kaiming Initialization (#14718)
Summary:
/cc goldsborough

Working on #14582

The corresponding python implementations are at: [pytorch/torch/nn/init.py](6302e4001a/torch/nn/init.py (L261-L327))

Here is my initial implementation of Kaiming Initialization. I have not been able to figure out how to successfully run tests locally so I haven't added any yet.

A couple questions:
- Are the enums defined in the right place? I copied their names from Python, but do you prefer different naming conventions for C++?
- To run tests locally do I use `python setup.py test`? Can I run just a subset of the tests somehow?
- Should I add my tests at [test/cpp/api/misc.cpp](https://github.com/pytorch/pytorch/blob/master/test/cpp/api/misc.cpp#L47-L54)?
Pull Request resolved: https://github.com/pytorch/pytorch/pull/14718

Differential Revision: D14049159

Pulled By: goldsborough

fbshipit-source-id: 966ac5126875936e69b185b5041f16476ed4cf70
2019-02-15 14:58:22 -08:00