mirror of
https://github.com/saymrwulf/pytorch.git
synced 2026-05-14 20:57:59 +00:00
4cb534f92e
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
40 lines
1.4 KiB
C++
40 lines
1.4 KiB
C++
#include "caffe2/operators/length_split_op.h"
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namespace caffe2 {
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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REGISTER_CPU_OPERATOR(LengthsSplit, LengthsSplitOp<CPUContext>);
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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OPERATOR_SCHEMA(LengthsSplit)
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.NumInputs(1, 2)
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.NumOutputs(1)
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.ScalarType(TensorProto::INT32)
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.SetDoc(R"DOC(
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Given input vector LENGTHS, and input n_split, LengthsSplit returns
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a single output vector. It "splits" each length into n_split values which add
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up to the original length. It will attempt to do equal splits, and if not possible,
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it orders larger values first. If the n_split is larger than the length, zero
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padding will be applied.
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e.g. LENGTHS = [9 4 5]
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n_split = 3
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Y = [3 3 3 2 1 1 2 2 1]
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e.g. LENGTHS = [2, 1, 2]
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n_split = 3
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Y = [1 1 0 1 0 0 1 1 0]
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)DOC")
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.Arg("n_split", "Number of splits for each element in LENGTHS")
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.Input(0, "LENGTHS", "Mx1 Input tensor denoting INT32 lengths")
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.Input(
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1,
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"n_split",
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"(Optional) Number of splits for each element in LENGTHS (overrides argument)")
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.Output(0, "Y", "(M*n_split)x1 Output vector denoting split lengths");
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// TODO: Write gradient for this when needed
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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GRADIENT_NOT_IMPLEMENTED_YET(LengthsSplit);
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} // namespace caffe2
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