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
82 lines
2.3 KiB
C++
82 lines
2.3 KiB
C++
#include <gtest/gtest.h>
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#include <test/cpp/jit/test_utils.h>
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#include <ATen/core/qualified_name.h>
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#include <torch/csrc/jit/frontend/resolver.h>
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#include <torch/csrc/jit/serialization/import.h>
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#include <torch/csrc/jit/serialization/import_source.h>
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#include <torch/torch.h>
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namespace torch {
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namespace jit {
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static const std::vector<std::string> subMethodSrcs = {R"JIT(
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def one(self, x: Tensor, y: Tensor) -> Tensor:
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return x + y + 1
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def forward(self, x: Tensor) -> Tensor:
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return x
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)JIT"};
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static const auto parentForward = R"JIT(
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def forward(self, x: Tensor) -> Tensor:
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return self.subMod.forward(x)
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)JIT";
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static const auto moduleInterfaceSrc = R"JIT(
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class OneForward(ModuleInterface):
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def one(self, x: Tensor, y: Tensor) -> Tensor:
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pass
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def forward(self, x: Tensor) -> Tensor:
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pass
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)JIT";
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static void import_libs(
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std::shared_ptr<CompilationUnit> cu,
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const std::string& class_name,
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const std::shared_ptr<Source>& src,
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const std::vector<at::IValue>& tensor_table) {
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SourceImporter si(
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cu,
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&tensor_table,
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[&](const std::string& name) -> std::shared_ptr<Source> { return src; },
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/*version=*/2);
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si.loadType(QualifiedName(class_name));
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}
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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TEST(InterfaceTest, ModuleInterfaceSerialization) {
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auto cu = std::make_shared<CompilationUnit>();
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Module parentMod("parentMod", cu);
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Module subMod("subMod", cu);
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std::vector<at::IValue> constantTable;
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import_libs(
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cu,
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"__torch__.OneForward",
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std::make_shared<Source>(moduleInterfaceSrc),
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constantTable);
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for (const std::string& method : subMethodSrcs) {
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subMod.define(method, nativeResolver());
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}
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parentMod.register_attribute(
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"subMod",
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cu->get_interface("__torch__.OneForward"),
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subMod._ivalue(),
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// NOLINTNEXTLINE(bugprone-argument-comment)
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/*is_parameter=*/false);
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parentMod.define(parentForward, nativeResolver());
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ASSERT_TRUE(parentMod.hasattr("subMod"));
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std::stringstream ss;
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parentMod.save(ss);
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Module reloaded_mod = jit::load(ss);
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ASSERT_TRUE(reloaded_mod.hasattr("subMod"));
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InterfaceTypePtr submodType =
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reloaded_mod.type()->getAttribute("subMod")->cast<InterfaceType>();
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ASSERT_TRUE(submodType->is_module());
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}
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} // namespace jit
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} // namespace torch
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