mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-07 12:21:27 +01:00
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
85 lines
3.1 KiB
C++
85 lines
3.1 KiB
C++
#include "rebatching_queue_ops.h"
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namespace caffe2 {
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CAFFE_KNOWN_TYPE(RebatchingQueuePtr);
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namespace {
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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REGISTER_CPU_OPERATOR(CreateRebatchingQueue, CreateRebatchingQueueOp);
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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REGISTER_CPU_OPERATOR(EnqueueRebatchingQueue, EnqueueRebatchingQueueOp);
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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REGISTER_CPU_OPERATOR(DequeueRebatchingQueue, DequeueRebatchingQueueOp);
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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REGISTER_CPU_OPERATOR(CloseRebatchingQueue, CloseRebatchingQueueOp);
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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NO_GRADIENT(CreateRebatchingQueue);
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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NO_GRADIENT(EnqueueRebatchingQueue);
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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NO_GRADIENT(DequeueRebatchingQueue);
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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NO_GRADIENT(CloseRebatchingQueue);
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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OPERATOR_SCHEMA(CreateRebatchingQueue)
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.NumInputs(0)
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.NumOutputs(1)
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.SetDoc(R"DOC(
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Creates the Queue.
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)DOC")
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.Output(0, "queue", "object representing the queue")
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.Arg("num_blobs", "Number of input tensors the queue will support")
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.Arg(
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"capacity",
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"Maximal number of elements the queue can hold at any given point");
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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OPERATOR_SCHEMA(CloseRebatchingQueue)
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.NumInputs(1)
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.NumOutputs(0)
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.SetDoc(R"DOC(
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Closes the Queue.
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)DOC")
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.Input(0, "queue", "object representing the queue");
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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OPERATOR_SCHEMA(EnqueueRebatchingQueue)
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.NumInputs(2, INT_MAX)
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.NumOutputs(0)
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.SetDoc(R"DOC(
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Enqueues Tensors into the queue.
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Number of input tensors should be equal to the number of components passed
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during creation of the queue.
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If the Queue is closed this operation will fail.
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If enqueue_batch argument is set. We will split the input tensors by the
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first dimension to produce single queue elements.
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)DOC")
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.Input(0, "queue", "object representing the queue")
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.Input(1, "tensor", "First tensor to enque. ")
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.Arg(
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"enqueue_batch",
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"Are we enqueuing a batch or just a single element. \
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By default we enqueue single element.");
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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OPERATOR_SCHEMA(DequeueRebatchingQueue)
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.NumInputs(1)
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.NumOutputs(1, INT_MAX)
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.SetDoc(R"DOC(
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Dequeue Tensors from the Queue.
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If the Queue is closed this might return less elements than asked.
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If num_elements > 1 the returned elements will be concatenated into one
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tensor per component.
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)DOC")
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.Input(0, "rebatching_queue", "object representing the queue")
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.Input(1, "tensor", "First tensor to enqueue")
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.Arg(
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"num_elements",
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"Number of elements to dequeue. By default we dequeue one element.");
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}
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}
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