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
73 lines
1.7 KiB
C++
73 lines
1.7 KiB
C++
#include <iostream>
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#include <gtest/gtest.h>
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#include "caffe2/core/context.h"
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#include "caffe2/core/flags.h"
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#include "caffe2/core/operator.h"
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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C10_DECLARE_string(caffe_test_root);
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namespace caffe2 {
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template <class DataT>
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static void AddScalarInput(
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const DataT& value,
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const string& name,
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Workspace* ws,
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bool isEmpty = false) {
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Blob* blob = ws->CreateBlob(name);
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auto* tensor = BlobGetMutableTensor(blob, CPU);
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if (!isEmpty) {
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tensor->Resize(vector<int64_t>{1});
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*(tensor->template mutable_data<DataT>()) = value;
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} else {
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tensor->Resize(vector<int64_t>{0});
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tensor->template mutable_data<DataT>();
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}
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return;
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}
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// Test case for BooleanUnmask operator
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// mask1: [ false ]
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// values1: [ ]
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// mask2: [ true ]
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// values2: [ 1.0 ]
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//
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// Expected Output: [ 1.0 ]
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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TEST(BooleanUnmaskTest, Test) {
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Workspace ws;
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OperatorDef def;
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def.set_name("test");
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def.set_type("BooleanUnmask");
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def.add_input("mask1");
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def.add_input("values1");
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def.add_input("mask2");
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def.add_input("values2");
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def.add_output("unmasked_data");
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AddScalarInput(false, "mask1", &ws);
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AddScalarInput(float(), "values1", &ws, true);
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AddScalarInput(true, "mask2", &ws);
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AddScalarInput(1.0f, "values2", &ws);
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unique_ptr<OperatorBase> op(CreateOperator(def, &ws));
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EXPECT_NE(nullptr, op.get());
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EXPECT_TRUE(op->Run());
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Blob* unmasked_data_blob = ws.GetBlob("unmasked_data");
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EXPECT_NE(nullptr, unmasked_data_blob);
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auto& unmasked_data = unmasked_data_blob->Get<TensorCPU>();
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EXPECT_EQ(unmasked_data.numel(), 1);
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CHECK_EQ(unmasked_data.data<float>()[0], 1.0f);
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}
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} // namespace caffe2
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