mirror of
https://github.com/pytorch/pytorch.git
synced 2025-10-20 21:14:14 +08:00
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
79 lines
1.9 KiB
C++
79 lines
1.9 KiB
C++
#include "smart_tensor_printer.h"
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#include "caffe2/core/operator.h"
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namespace caffe2 {
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namespace {
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// Since DispatchHelper doesn't support passing arguments through the call()
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// method to DoRunWithType we have to create an object that will hold these
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// arguments explicitly.
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struct ProxyPrinter {
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template <typename T>
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bool DoRunWithType() {
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tensorPrinter->Print<T>(*tensor);
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return true;
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}
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void Print() {
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// Pulled in printable types from caffe2/core/types.cc
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// Unfortunately right now one has to add them by hand
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DispatchHelper<TensorTypes<
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float,
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int,
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std::string,
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bool,
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uint8_t,
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int8_t,
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uint16_t,
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int16_t,
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int64_t,
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double,
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char>>::call(this, tensor->dtype());
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}
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const Tensor* tensor;
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TensorPrinter* tensorPrinter;
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};
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} // namespace
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SmartTensorPrinter::SmartTensorPrinter(const std::string& tensor_name)
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: tensorPrinter_(tensor_name) {}
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SmartTensorPrinter::SmartTensorPrinter(
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const std::string& tensor_name,
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const std::string& file_name)
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: tensorPrinter_(tensor_name, file_name) {}
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SmartTensorPrinter::SmartTensorPrinter(
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const std::string& tensor_name,
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const std::string& file_name,
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int limit)
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: tensorPrinter_(tensor_name, file_name, limit) {}
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void SmartTensorPrinter::Print(const Tensor& tensor) {
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// NOLINTNEXTLINE(cppcoreguidelines-pro-type-member-init)
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ProxyPrinter printer;
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printer.tensor = &tensor;
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printer.tensorPrinter = &tensorPrinter_;
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printer.Print();
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}
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SmartTensorPrinter& SmartTensorPrinter::DefaultTensorPrinter() {
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// TODO(janusz): thread_local does not work under mac.
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#if defined(__APPLE__)
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CAFFE_THROW(
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"SmartTensorPrinter does not work on mac yet due to thread_local.");
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#else
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static thread_local SmartTensorPrinter printer;
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return printer;
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#endif
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}
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void SmartTensorPrinter::PrintTensor(const Tensor& tensor) {
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DefaultTensorPrinter().Print(tensor);
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}
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} // namespace caffe2
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