Justinchu/clang tidy test #12655

justinchuby · 2022-08-19T17:16:44Z

Do not merge.

Test clang-tidy CI

github-actions

clang-tidy made some suggestions

There were too many comments to post at once. Showing the first 25 out of 102. Check the log or trigger a new build to see more.

github-actions · 2022-08-19T17:24:50Z

onnxruntime/core/session/provider_bridge_ort.cc

@@ -1130,7 +1130,7 @@

 // Adapter to convert the legacy OrtCUDAProviderOptions to the latest OrtCUDAProviderOptionsV2
 OrtCUDAProviderOptionsV2 OrtCUDAProviderOptionsToOrtCUDAProviderOptionsV2(const OrtCUDAProviderOptions* legacy_cuda_options) {
-  OrtCUDAProviderOptionsV2 cuda_options_converted;
+  OrtCUDAProviderOptionsV2 cuda_options_converted{};


warning: variable 'cuda_options_converted' is not initialized [cppcoreguidelines-init-variables]

Suggested change

OrtCUDAProviderOptionsV2 cuda_options_converted{};

OrtCUDAProviderOptionsV2 cuda_options_converted = 0{};

github-actions · 2022-08-19T17:24:50Z

orttraining/orttraining/lazy_tensor/accelerator.cc

+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+#include "orttraining/lazy_tensor/accelerator.h"


warning: 'orttraining/lazy_tensor/accelerator.h' file not found [clang-diagnostic-error]

#include "orttraining/lazy_tensor/accelerator.h" ^

github-actions · 2022-08-19T17:24:50Z

orttraining/orttraining/lazy_tensor/accelerator.cc

+namespace onnxruntime {
+
+namespace python {
+Environment& GetTrainingORTEnv();


warning: use a trailing return type for this function [modernize-use-trailing-return-type]

Environment& GetTrainingORTEnv(); ^

github-actions · 2022-08-19T17:24:50Z

orttraining/orttraining/lazy_tensor/accelerator.cc

+// Be aware of GIL issue.
+// The returned value is the path to exported
+// ONNX file.
+static std::string ExportToOnnx(


warning: use a trailing return type for this function [modernize-use-trailing-return-type]

Suggested change

static std::string ExportToOnnx(

static auto ExportToOnnx(

orttraining/orttraining/lazy_tensor/accelerator.cc:238:

- const at::ArrayRef<c10::IValue>& args) { + const at::ArrayRef<c10::IValue>& args) -> std::string {

github-actions · 2022-08-19T17:24:51Z

orttraining/orttraining/lazy_tensor/accelerator.cc

+  // ONNX exporter modifies the graph in-place, so we
+  // need to clone it to avoid interaction between
+  // Pytorch's JIT mechanism and ONNX graph.
+  std::shared_ptr<torch::jit::Graph> new_subgraph(graph->copyUnique().release());


warning: variable 'new_subgraph' is not initialized [cppcoreguidelines-init-variables]

Suggested change

std::shared_ptr<torch::jit::Graph> new_subgraph(graph->copyUnique().release());

std::shared_ptr<torch::jit::Graph> new_subgraph = 0(graph->copyUnique().release());

github-actions · 2022-08-19T17:24:53Z

orttraining/orttraining/lazy_tensor/bridge.cc

+  onnxruntime::MLDataType element_type = CreateOrtScalarType(tensor.scalar_type());
+  onnxruntime::TensorShape shape(tensor.sizes().vec());
+  OrtDevice device = CreateOrtDevice(tensor.device());
+  OrtMemoryInfo memory_info = OrtMemoryInfo("LTC", OrtAllocatorType::OrtDeviceAllocator, device, device.Id());


warning: variable 'memory_info' is not initialized [cppcoreguidelines-init-variables]

Suggested change

OrtMemoryInfo memory_info = OrtMemoryInfo("LTC", OrtAllocatorType::OrtDeviceAllocator, device, device.Id());

OrtMemoryInfo memory_info = 0 = OrtMemoryInfo("LTC", OrtAllocatorType::OrtDeviceAllocator, device, device.Id());

github-actions · 2022-08-19T17:24:53Z

orttraining/orttraining/lazy_tensor/bridge.cc

+  OrtDevice device = CreateOrtDevice(tensor.device());
+  OrtMemoryInfo memory_info = OrtMemoryInfo("LTC", OrtAllocatorType::OrtDeviceAllocator, device, device.Id());
+  // This tensor's life time is controlled by Pytorch.
+  // TODO: consider to let ORT also own that tensor.


warning: missing username/bug in TODO [google-readability-todo]

Suggested change

// TODO: consider to let ORT also own that tensor.

// TODO(unknown): consider to let ORT also own that tensor.

github-actions · 2022-08-19T17:24:53Z

orttraining/orttraining/lazy_tensor/bridge.cc

+      element_type, shape,
+      tensor.data_ptr(), memory_info);
+
+  OrtValue ort_value;


warning: variable 'ort_value' is not initialized [cppcoreguidelines-init-variables]

Suggested change

OrtValue ort_value;

OrtValue ort_value = 0;

github-actions · 2022-08-19T17:24:53Z

orttraining/orttraining/lazy_tensor/bridge.cc

+  return ort_value;
+}
+
+c10::IValue CreateC10IvalueTensor(OrtValue value) {


warning: use a trailing return type for this function [modernize-use-trailing-return-type]

c10::IValue CreateC10IvalueTensor(OrtValue value) { ^

github-actions · 2022-08-19T17:24:53Z

orttraining/orttraining/lazy_tensor/bridge.cc

+}
+
+c10::IValue CreateC10IvalueTensor(OrtValue value) {
+  onnxruntime::Tensor* tensor = value.GetMutable<onnxruntime::Tensor>();


warning: variable 'tensor' is not initialized [cppcoreguidelines-init-variables]

Suggested change

onnxruntime::Tensor* tensor = value.GetMutable<onnxruntime::Tensor>();

onnxruntime::Tensor* tensor = nullptr = value.GetMutable<onnxruntime::Tensor>();

snnn

Thank you!

Our Linux VMs are Ubuntu 20.04 based, and they have clang 14.0 installed. Once this work is done, we can add it to CI to enforce the rules.

snnn · 2022-08-19T17:53:12Z

.github/workflows/lint.yml

@@ -88,6 +88,13 @@ jobs:
          level: warning
          flags: --linelength=120 --exclude=java/src/main/native/*.c
          filter: "-runtime/references"
+      - name: Run clang-tidy


I suggest not using 3rd-party actions when possible, for the possibility of leaking tokens.

Good call. Although IIRC the token is periodically rotated? We are using a few 3rd party checks so that would be an all or non situation. Would it make sense for us to verify the token access to make sure "posting to the PR thread" (and other necessary access) are the only things allowed?

justinchuby · 2022-08-19T17:55:24Z

@snnn With this test PR I am seeing a few checks that are particularly noisy / may not make sense (onnxruntime::Tensor* tensor = nullptr = value.GetMutable<onnxruntime::Tensor>();)

I am still learning c++ so I don't have good judgement on the suggestions generated. Do you have a recommended rules list we can modify based on the currect .clang-tidy file?

snnn · 2022-08-19T17:56:49Z

No, I don't. I will look into it this weekend.

justinchuby · 2022-09-01T16:06:31Z

@snnn With this test PR I am seeing a few checks that are particularly noisy / may not make sense (onnxruntime::Tensor* tensor = nullptr = value.GetMutable<onnxruntime::Tensor>();)

I am still learning c++ so I don't have good judgement on the suggestions generated. Do you have a recommended rules list we can modify based on the current .clang-tidy file?

@edgchen1 do you have any suggestions on .clang-tidy rules?

edgchen1 · 2022-09-01T17:04:30Z

@snnn With this test PR I am seeing a few checks that are particularly noisy / may not make sense (onnxruntime::Tensor* tensor = nullptr = value.GetMutable<onnxruntime::Tensor>();)
I am still learning c++ so I don't have good judgement on the suggestions generated. Do you have a recommended rules list we can modify based on the current .clang-tidy file?

@edgchen1 do you have any suggestions on .clang-tidy rules?

I don't have much at the moment - would need to familiarize myself with them more.

From a quick look at the list, "google" ones seem good since we follow their style guide. Some of the "bugprone", "cppcoreguidlines", "modernize", "performance", and "readability" ones look useful too, though perhaps we should pick and choose from them. For example, I think we can do without modernize-use-trailing-return-type, it's just stylistic.

Looking at the warnings in this PR, it appears that maybe clang-tidy isn't configured correctly. For example, a lot of the warnings from cppcoreguidelines-init-variables are actually referring to initialized variables. It also complains about being unable to find include files. Is the compile_commands.json file getting generated and passed to clang-tidy (-p option)?

justinchuby · 2022-09-01T17:06:55Z

Is the compile_commands.json file getting generated and passed to clang-tidy (-p option)?

No since I wasn't sure what the best way is to generate it. Is there a command I can run to create it?

edgchen1 · 2022-09-01T18:16:51Z

Is the compile_commands.json file getting generated and passed to clang-tidy (-p option)?

No since I wasn't sure what the best way is to generate it. Is there a command I can run to create it?

That's a good question. We do have various build options, which ones should we test with? @snnn
To generate it you can define CMAKE_EXPORT_COMPILE_COMMANDS when calling CMake (e.g., build.py --cmake_extra_defines CMAKE_EXPORT_COMPILE_COMMANDS=ON).

…led. Convert KernelDefBuilder functions to use string_view.

…type_constraints' into justinchu/clang-tidy-test

…g' into justinchu/clang-tidy-test

github-actions

clang-tidy made some suggestions

github-actions · 2022-09-24T01:12:03Z

include/onnxruntime/core/framework/kernel_def_builder.h

@@ -3,17 +3,18 @@

 #pragma once

+#include <limits.h>


warning: inclusion of deprecated C++ header 'limits.h'; consider using 'climits' instead [modernize-deprecated-headers]

Suggested change

#include <limits.h>

#include <climits>

github-actions · 2022-09-24T01:12:03Z

include/onnxruntime/core/framework/kernel_def_builder.h

  // type constraints with types supported in this build
-  const std::unordered_map<std::string, std::vector<MLDataType>>& EnabledTypeConstraints() const {
-    return enabled_type_constraints_;
+  const std::unordered_map<std::string, std::vector<MLDataType>>& TypeConstraints() const {


warning: function 'TypeConstraints' should be marked [[nodiscard]] [modernize-use-nodiscard]

Suggested change

const std::unordered_map<std::string, std::vector<MLDataType>>& TypeConstraints() const {

[[nodiscard]] const std::unordered_map<std::string, std::vector<MLDataType>>& TypeConstraints() const {

github-actions · 2022-09-24T01:12:03Z

include/onnxruntime/core/framework/kernel_def_builder.h

@@ -73,7 +67,7 @@
    return alias_map_;
  }

-  const optional<std::pair<int, int>>& VariadicAlias() const {
+  const std::optional<std::pair<int, int>>& VariadicAlias() const {


warning: function 'VariadicAlias' should be marked [[nodiscard]] [modernize-use-nodiscard]

Suggested change

const std::optional<std::pair<int, int>>& VariadicAlias() const {

[[nodiscard]] const std::optional<std::pair<int, int>>& VariadicAlias() const {

github-actions · 2022-09-24T01:12:03Z

onnxruntime/core/framework/kernel_def_builder.cc

-KernelDefBuilder& KernelDefBuilder::SetDomain(const char* domain) {
-  kernel_def_->op_domain_ = std::string(domain);
+KernelDefBuilder& KernelDefBuilder::TypeConstraint(std::string_view arg_name,
+                                                   std::vector<MLDataType> types) {


warning: parameter 'types' is unused [misc-unused-parameters]

Suggested change

std::vector<MLDataType> types) {

std::vector<MLDataType> /*types*/) {

github-actions · 2022-09-24T01:12:03Z

onnxruntime/core/framework/kernel_def_builder.cc

-KernelDefBuilder& KernelDefBuilder::TypeConstraint(const char* arg_name,
-                                                   MLDataType default_type) {
-  return TypeConstraint(std::string(arg_name), default_type);
+KernelDefBuilder& KernelDefBuilder::TypeConstraint(std::string_view arg_name,


warning: method 'TypeConstraint' can be made static [readability-convert-member-functions-to-static]

include/onnxruntime/core/framework/kernel_def_builder.h:216:

- KernelDefBuilder& TypeConstraint(std::string_view arg_name, MLDataType type); + static KernelDefBuilder& TypeConstraint(std::string_view arg_name, MLDataType type);

github-actions · 2022-09-24T01:12:04Z

onnxruntime/core/framework/kernel_def_builder.cc

-  return TypeConstraint(std::string(arg_name), default_type);
+KernelDefBuilder& KernelDefBuilder::TypeConstraint(std::string_view arg_name,
+                                                   MLDataType type) {
+  std::vector<MLDataType> types{type};


warning: variable 'types' is not initialized [cppcoreguidelines-init-variables]

Suggested change

std::vector<MLDataType> types{type};

std::vector<MLDataType> types = 0{type};

github-actions · 2022-09-24T01:12:04Z

onnxruntime/core/session/standalone_op_invoker.cc

-    auto kernel = reinterpret_cast<onnxruntime::OpKernel*>(op);
-    onnxruntime::standalone::NodeRepo::GetInstance().RemoveNode(kernel);
-    delete kernel;
+    std::unique_ptr<onnxruntime::OpKernel> op_ptr{reinterpret_cast<onnxruntime::OpKernel*>(op)};


warning: variable 'op_ptr' is not initialized [cppcoreguidelines-init-variables]

Suggested change

std::unique_ptr<onnxruntime::OpKernel> op_ptr{reinterpret_cast<onnxruntime::OpKernel*>(op)};

std::unique_ptr<onnxruntime::OpKernel> op_ptr = 0{reinterpret_cast<onnxruntime::OpKernel*>(op)};

github-actions · 2022-09-24T01:12:04Z

onnxruntime/core/session/standalone_op_invoker.cc

@@ -531,8 +531,7 @@

 ORT_API(void, OrtApis::ReleaseKernelInfo, _Frees_ptr_opt_ OrtKernelInfo* info_copy) {
  if (info_copy) {
-    auto kernel_info = reinterpret_cast<onnxruntime::OpKernelInfo*>(info_copy);
-    delete kernel_info;
+    std::unique_ptr<onnxruntime::OpKernelInfo> info_copy_ptr{reinterpret_cast<onnxruntime::OpKernelInfo*>(info_copy)};


warning: variable 'info_copy_ptr' is not initialized [cppcoreguidelines-init-variables]

Suggested change

std::unique_ptr<onnxruntime::OpKernelInfo> info_copy_ptr{reinterpret_cast<onnxruntime::OpKernelInfo*>(info_copy)};

std::unique_ptr<onnxruntime::OpKernelInfo> info_copy_ptr = 0{reinterpret_cast<onnxruntime::OpKernelInfo*>(info_copy)};

edgchen1 · 2022-09-26T23:19:19Z

FYI, these warnings seem incorrect:
#12655 (comment)
#12655 (comment)
#12655 (comment)
#12655 (comment)
#12655 (comment)

justinchuby · 2022-09-27T17:35:20Z

@edgchen1 that's a little more noise than what I hope it would produce! Should I turn off

misc-unused-parameters
readability-convert-member-functions-to-static
cppcoreguidelines-init-variables

for now? I am not sure why cppcoreguidelines-init-variables went wrong in particular

edgchen1 · 2022-09-27T20:00:09Z

@edgchen1 that's a little more noise than what I hope it would produce! Should I turn off
misc-unused-parameters
readability-convert-member-functions-to-static
cppcoreguidelines-init-variables
for now? I am not sure why cppcoreguidelines-init-variables went wrong in particular

I think those are reasonable checks and it's ok to leave them on.

there are some errors from clang-tidy:

Output was:
error: unknown warning option '-Wno-nonnull-compare' [clang-diagnostic-unknown-warning-option]
/github/workspace/cmake/external/onnx/onnx/onnx_pb.h:51:10: error: 'onnx/onnx-ml.pb.h' file not found [clang-diagnostic-error]

https://github.com/microsoft/onnxruntime/actions/runs/3116529857/jobs/5054446243

which may be why we get these spurious warnings.

onnx/onnx-ml.pb.h is a generated file. should be able to generate it like this:

cmake --build build/Debug --config Debug --target onnx_proto

after the call to build.py:

onnxruntime/.github/workflows/lint.yml

Lines 86 to 92 in a2fa01b

    
                 - name: Generate compile_commands.json 
        
                   run: | 
        
                     python tools/ci_build/build.py \ 
        
                       --cmake_generator "Ninja" \ 
        
                       --build_dir build \ 
        
                       --update \ 
        
                       --cmake_extra_defines CMAKE_EXPORT_COMPILE_COMMANDS=ON

github-actions

clang-tidy made some suggestions

github-actions · 2022-09-28T17:37:53Z

onnxruntime/core/session/standalone_op_invoker.cc

@@ -77,7 +77,18 @@ ORT_API(void, OrtApis::ReleaseKernelInfo, _Frees_ptr_opt_ OrtKernelInfo*) {
 namespace onnxruntime {
 namespace standalone {

-using NodePtr = std::unique_ptr<onnxruntime::Node>;
+void ReleaseNode(onnxruntime::Node* node) {
+  if (node) {


warning: implicit conversion 'onnxruntime::Node *' -> bool [readability-implicit-bool-conversion]

Suggested change

if (node) {

if (node != nullptr) {

github-actions · 2022-09-28T17:37:53Z

onnxruntime/core/session/standalone_op_invoker.cc

-using NodePtr = std::unique_ptr<onnxruntime::Node>;
+void ReleaseNode(onnxruntime::Node* node) {
+  if (node) {
+    for (auto* input_arg : node->InputDefs()) {


warning: 'auto *input_arg' can be declared as 'const auto *input_arg' [readability-qualified-auto]

Suggested change

for (auto* input_arg : node->InputDefs()) {

for (const auto* input_arg : node->InputDefs()) {

github-actions · 2022-09-28T17:37:53Z

onnxruntime/core/session/standalone_op_invoker.cc

+    for (auto* input_arg : node->InputDefs()) {
+      std::unique_ptr<const onnxruntime::NodeArg>{input_arg};
+    }
+    for (auto* output_arg : node->OutputDefs()) {


warning: 'auto *output_arg' can be declared as 'const auto *output_arg' [readability-qualified-auto]

Suggested change

for (auto* output_arg : node->OutputDefs()) {

for (const auto* output_arg : node->OutputDefs()) {

justinchuby · 2022-09-28T17:39:04Z

@edgchen1 looking good now (to me)

justinchuby added 2 commits August 19, 2022 09:20

Update lint.yml

48ff28a

Update .clang-tidy

167371a

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snnn reviewed Aug 19, 2022

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justinchuby mentioned this pull request Sep 20, 2022

Create clang-tidy CI #12653

Merged

justinchuby and others added 11 commits September 20, 2022 11:07

Update .clang-tidy

752367d

Update .clang-tidy

a476f25

switch to int64_t to mitigate type-conversion-after-add warning

9efc2fa

utilize unique_ptr to do deletion

7dcd6fd

Consolidate KernelDef enabled/default type constraint types into enab…

17a99bd

…led. Convert KernelDefBuilder functions to use string_view.

Update clang-tidy

255023f

Remove

9467b79

generate compile_commandsf

416076e

Merge remote-tracking branch 'origin/edgchen1/consolidate_kernel_def_…

58dd710

…type_constraints' into justinchu/clang-tidy-test

Merge remote-tracking branch 'origin/rashuai/SilenceTopkPrefastWarnin…

26ffe7b

…g' into justinchu/clang-tidy-test

Merge branch 'justinchu/clang-tidy' into justinchu/clang-tidy-test

9759107

justinchuby force-pushed the justinchu/clang-tidy-test branch from e1d55da to 9759107 Compare September 21, 2022 17:43

justinchuby and others added 5 commits September 21, 2022 17:57

Pin action SHA

dfec5de

try this base dir

d0b44bc

Merge branch 'justinchu/clang-tidy' into justinchu/clang-tidy-test

45ef773

Update lint.yml

8a5d1d8

Update lint.yml

a2fa01b

github-actions bot reviewed Sep 24, 2022

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Update lint.yml

43f129a

justinchuby marked this pull request as ready for review September 28, 2022 17:27

justinchuby marked this pull request as draft September 28, 2022 17:27

justinchuby closed this Sep 28, 2022

justinchuby reopened this Sep 28, 2022

Merge branch 'main' into justinchu/clang-tidy-test

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justinchuby deleted the justinchu/clang-tidy-test branch April 20, 2023 23:45

	OrtCUDAProviderOptionsV2 cuda_options_converted{};
	OrtCUDAProviderOptionsV2 cuda_options_converted = 0{};

	std::shared_ptr<torch::jit::Graph> new_subgraph(graph->copyUnique().release());
	std::shared_ptr<torch::jit::Graph> new_subgraph = 0(graph->copyUnique().release());

	OrtMemoryInfo memory_info = OrtMemoryInfo("LTC", OrtAllocatorType::OrtDeviceAllocator, device, device.Id());
	OrtMemoryInfo memory_info = 0 = OrtMemoryInfo("LTC", OrtAllocatorType::OrtDeviceAllocator, device, device.Id());

	// TODO: consider to let ORT also own that tensor.
	// TODO(unknown): consider to let ORT also own that tensor.

	onnxruntime::Tensor* tensor = value.GetMutable<onnxruntime::Tensor>();
	onnxruntime::Tensor* tensor = nullptr = value.GetMutable<onnxruntime::Tensor>();

	const std::unordered_map<std::string, std::vector<MLDataType>>& TypeConstraints() const {
	[[nodiscard]] const std::unordered_map<std::string, std::vector<MLDataType>>& TypeConstraints() const {

	const std::optional<std::pair<int, int>>& VariadicAlias() const {
	[[nodiscard]] const std::optional<std::pair<int, int>>& VariadicAlias() const {

	std::vector<MLDataType> types) {
	std::vector<MLDataType> /types/) {

	std::vector<MLDataType> types{type};
	std::vector<MLDataType> types = 0{type};

	std::unique_ptr<onnxruntime::OpKernel> op_ptr{reinterpret_cast<onnxruntime::OpKernel*>(op)};
	std::unique_ptr<onnxruntime::OpKernel> op_ptr = 0{reinterpret_cast<onnxruntime::OpKernel*>(op)};

	std::unique_ptr<onnxruntime::OpKernelInfo> info_copy_ptr{reinterpret_cast<onnxruntime::OpKernelInfo*>(info_copy)};
	std::unique_ptr<onnxruntime::OpKernelInfo> info_copy_ptr = 0{reinterpret_cast<onnxruntime::OpKernelInfo*>(info_copy)};

	for (auto* input_arg : node->InputDefs()) {
	for (const auto* input_arg : node->InputDefs()) {

	for (auto* output_arg : node->OutputDefs()) {
	for (const auto* output_arg : node->OutputDefs()) {

Justinchu/clang tidy test #12655

Justinchu/clang tidy test #12655

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