Fix clang-tidy warnings in torch/jit (#146963)

Fixes #ISSUE_NUMBER

Pull Request resolved: https://github.com/pytorch/pytorch/pull/146963
Approved by: https://github.com/davidberard98

torch/csrc/jit/backends/coreml/objc/PTMCoreMLTensorSpec.h

@@ -6,7 +6,7 @@
 namespace torch::jit::mobile::coreml {
 
 struct TensorSpec {
-  std::string name = "";
+  std::string name;
   c10::ScalarType dtype = c10::ScalarType::Float;
 };
 

torch/csrc/jit/backends/nnapi/nnapi_backend_preprocess.cpp

@@ -43,7 +43,7 @@ c10::IValue preprocess(
   // Test that method_compile_spec contains the necessary keys and
   // Tensor/TensorList input
   c10::IValue inp;
-  std::string error = "";
+  std::string error;
   if (!method_compile_spec.contains("forward")) {
     error = R"(method_compile_spec does not contain the "forward" key.)";
   } else {

torch/csrc/jit/backends/xnnpack/compiler/xnn_compiler.h

@@ -8,10 +8,7 @@
 #include <memory>
 #include <vector>
 
-namespace torch {
-namespace jit {
-namespace xnnpack {
-namespace delegate {
+namespace torch::jit::xnnpack::delegate {
 
 class XNNCompiler {
  public:
@@ -24,7 +21,4 @@ class XNNCompiler {
       XNNExecutor* executor);
 };
 
-} // namespace delegate
-} // namespace xnnpack
-} // namespace jit
-} // namespace torch
+} // namespace torch::jit::xnnpack::delegate

torch/csrc/jit/backends/xnnpack/xnnpack_backend_preprocess.cpp

@@ -8,10 +8,7 @@
 #include <ATen/core/List.h>
 #include <torch/csrc/jit/backends/xnnpack/xnnpack_graph_builder.h>
 
-namespace torch {
-namespace jit {
-namespace xnnpack {
-namespace delegate {
+namespace torch::jit::xnnpack::delegate {
 
 // Expected method_compile_spec should look something like this:
 // {
@@ -126,7 +123,4 @@ c10::IValue preprocess(
 constexpr auto backend_name = "xnnpack";
 static auto pre_reg = backend_preprocess_register(backend_name, preprocess);
 
-} // namespace delegate
-} // namespace xnnpack
-} // namespace jit
-} // namespace torch
+} // namespace torch::jit::xnnpack::delegate

torch/csrc/jit/codegen/fuser/kernel_spec.h

@@ -58,12 +58,9 @@ struct TORCH_API KernelSpec {
       : key_{_key},
         graph_{_graph},
         code_{_graph, "<fused code>"},
-        nInputs_{_graph->inputs().size()},
+        nInputs_{_graph->inputs().size()}
 
-        inputBroadcastGroups_{},
-        inputChunks_{},
-
-        kernels_{} {
+  {
     // No need to iterate over reference since n is pointer
     for (const auto n : graph_->nodes()) {
       static_assert(std::is_pointer_v<decltype(n)>, "n must be a pointer");

torch/csrc/jit/ir/irparser.cpp

@@ -88,7 +88,7 @@ struct ParsedLiteral {
   AttributeKind k = AttributeKind::t;
 
   int64_t i = 0;
-  std::string s = "";
+  std::string s;
   double f = 0.0;
   c10::complex<double> c = c10::complex<double>(0, 0);
   TypePtr ty;

torch/csrc/jit/mobile/module.cpp

@@ -11,7 +11,7 @@
 #include <c10/util/irange.h>
 
 namespace torch::jit {
-std::ostream& operator<<(std::ostream& out, Instruction inst);
+
 namespace mobile {
 
 void CompilationUnit::register_function(std::unique_ptr<Function> fn) {
@@ -178,7 +178,7 @@ const std::vector<at::Tensor> Module::parameters() const {
 // loading of a mobile module. TODO
 const std::map<std::string, at::Tensor> Module::named_parameters() const {
   std::map<std::string, at::Tensor> params;
-  const std::string name = "";
+  const std::string name;
   slot_named_params_recurse(object_, &params, name);
   return params;
 }

torch/csrc/jit/passes/freeze_module.cpp

@@ -31,7 +31,7 @@ std::vector<std::string> splitName(const std::string& name) {
 
 template <typename Iter>
 std::string concatName(const Iter& begin, const Iter& end) {
-  std::string combined_name = "";
+  std::string combined_name;
   for (Iter it = begin; it != end; ++it) {
     const std::string& sub_name = *it;
     if (!combined_name.empty()) {

torch/csrc/jit/passes/hoist_conv_packed_params.cpp

@@ -57,7 +57,7 @@ static void hoistConvPackedParams(
 
   // create the new name
 
-  std::string suffix = "";
+  std::string suffix;
   for (const auto& attrName : rootToConvPath) {
     suffix += attrName + ".";
   }

torch/csrc/jit/passes/onnx/function_substitution.cpp

@@ -8,14 +8,14 @@ namespace torch::jit {
 
 namespace {
 
-const std::string kTopModuleVariableName = "";
+const std::string kTopModuleVariableName;
 
 std::string TidyClassNameFromTorchScript(
     const std::optional<c10::QualifiedName>& class_name) {
   if (!class_name) {
     return "UNKNOWN_CLASS";
   }
-  std::string out = "";
+  std::string out;
   for (const auto& atom : class_name->atoms()) {
     bool is_internal_torch_atom = (atom == "__torch__");
     bool is_mangle_atom = (atom.find("__torch_mangle") != std::string::npos);

torch/csrc/jit/passes/onnx/list_model_parameters.cpp

@@ -100,7 +100,7 @@ std::vector<IValue> getParamAttributes(
       auto attr = attrModule.attr(name);
       Value* paramConst = nullptr;
 
-      std::string fullName("");
+      std::string fullName;
       for (auto& name : moduleNames) {
         fullName += name + '.';
       }

torch/csrc/jit/passes/onnx/remove_inplace_ops_for_onnx.cpp

@@ -654,7 +654,7 @@ void InplaceConverter::gatherAttrNameInitialValueMap(
     auto moduleNames =
         findSubModuleAttr(n->inputs().at(0), name, attrModule, graph_);
 
-    std::string fullName("");
+    std::string fullName;
     for (auto& name : moduleNames) {
       fullName += name + '.';
     }

torch/csrc/jit/runtime/argument_spec.h

@@ -240,7 +240,7 @@ struct CompleteArgumentInfo;
 
 struct CompleteArgumentSpec {
   CompleteArgumentSpec(bool with_grad, at::ArrayRef<IValue> inputs)
-      : hash_code(0), ninputs(inputs.size()) {
+      : ninputs(inputs.size()) {
     int32_t all_dims = 0;
     const auto num_inputs = inputs.size();
     for (const auto i : c10::irange(num_inputs)) {
@@ -325,7 +325,7 @@ struct CompleteArgumentSpec {
   int64_t* sizes_strides() {
     return data.data() + ninputs;
   }
-  size_t hash_code; // precomputed on construction
+  size_t hash_code{0}; // precomputed on construction
   size_t ninputs;
   // layout is ninputs of TensorPOD (each 64-bit) followed by their size and
   // stride info for 3 tensors:

torch/csrc/jit/runtime/interpreter/code_impl.h

@@ -19,8 +19,6 @@ TORCH_DECLARE_bool(torch_jit_enable_expanded_stacks);
 
 namespace torch::jit {
 
-std::ostream& operator<<(std::ostream& out, Instruction inst);
-
 namespace interpreter {
 
 template <class Ttarget, class Tsource>
@@ -62,10 +60,10 @@ struct WithCurrentNode {
 };
 
 struct NodeSourceInfo {
-  const char* func_name_;
-  const char* file_name_;
-  size_t line_;
-  NodeSourceInfo() : func_name_(nullptr), file_name_(nullptr), line_(0) {}
+  const char* func_name_{nullptr};
+  const char* file_name_{nullptr};
+  size_t line_{0};
+  NodeSourceInfo() {}
 };
 
 struct CodeImpl {

torch/csrc/jit/runtime/jit_exception.cpp

@@ -2,8 +2,8 @@
 
 namespace torch::jit {
 
-static thread_local std::string caughtOriginalMsg = "";
-static thread_local std::string caughtPythonClassName = "";
+static thread_local std::string caughtOriginalMsg;
+static thread_local std::string caughtPythonClassName;
 
 JITException::JITException(
     const std::string& msg,

torch/csrc/jit/runtime/logging.h

@@ -48,9 +48,9 @@ class TORCH_API LockingLogger : public LoggerBase {
  private:
   mutable std::mutex m;
   struct RawCounter {
-    RawCounter() : sum(0), count(0) {}
-    int64_t sum;
-    size_t count;
+    RawCounter() = default;
+    int64_t sum{0};
+    size_t count{0};
   };
   std::unordered_map<std::string, RawCounter> raw_counters;
   std::unordered_map<std::string, AggregationType> agg_types;

torch/csrc/jit/runtime/register_prim_ops.cpp

@@ -37,7 +37,7 @@ std::string stringSlice(
       slice_indices_adjust(string.size(), &start_val, &end_val, step);
 
   int64_t i = start_val;
-  std::string result = "";
+  std::string result;
   for ([[maybe_unused]] const auto j : c10::irange(num_vals)) {
     result += string[i];
     i += step;

torch/csrc/jit/serialization/import.cpp

@@ -117,8 +117,7 @@ class ScriptModuleDeserializer final {
       : compilation_unit_(std::move(cu)),
         reader_(std::move(reader)),
         code_prefix_("code/"),
-        pickle_dir_prefix_(""),
-        tensor_dir_prefix_(""),
+
         source_importer_(
             compilation_unit_,
             &constants_table_,

torch/csrc/jit/serialization/python_print.cpp

@@ -1585,7 +1585,7 @@ struct PythonPrintImpl {
     } else if (auto enumType = type->cast<EnumType>()) {
       body_ << "class " << enumType->qualifiedClassName().name() << "(Enum):\n";
 
-      std::string value_wrapper = "";
+      std::string value_wrapper;
       if (enumType->getValueType() == StringType::get()) {
         value_wrapper = "\"";
       }

torch/csrc/jit/serialization/unpickler.h

@@ -73,7 +73,7 @@ class TORCH_API Unpickler {
       TypeParserT type_parser = defaultTypeParser,
       std::shared_ptr<DeserializationStorageContext> storage_context = nullptr)
       : reader_(std::move(reader)),
-        tensor_table_(),
+
         type_resolver_(std::move(type_resolver)),
         obj_loader_(std::move(obj_loader)),
         read_record_(std::move(read_record)),

torch/csrc/jit/tensorexpr/bounds_overlap.h

@@ -35,7 +35,7 @@ struct TORCH_API Bound {
   bool operator>(const Bound& other) const;
   bool operator>=(const Bound& other) const;
 
-  void swap() {
+  void swap() noexcept {
     std::swap(start, end);
     swapped = !swapped;
   }

torch/csrc/jit/tensorexpr/expr.h

@@ -411,7 +411,7 @@ class TORCH_API BufHandle : public ExprHandle {
 class TORCH_API VarHandle : public ExprHandle {
  public:
   // Creates an empty VarHandle whose base Var is set to nullptr.
-  VarHandle() : ExprHandle() {}
+  VarHandle() = default;
 
   explicit VarHandle(Dtype dtype) : ExprHandle(Var::make(dtype)) {}
 

torch/csrc/jit/tensorexpr/loopnest_randomization.cpp

@@ -101,7 +101,7 @@ static void printHistory(int index, std::string message) {
 
 template <typename T>
 std::string join(std::vector<T> indices, char sep = ',') {
-  std::string s = "";
+  std::string s;
   for (const auto& index : indices) {
     s += std::to_string(index) + sep;
   }
@@ -111,7 +111,7 @@ std::string join(std::vector<T> indices, char sep = ',') {
 static std::string join(
     const std::vector<std::string>& indices,
     char sep = ',') {
-  std::string s = "";
+  std::string s;
   for (const auto& index : indices) {
     s += index + sep;
   }
@@ -141,7 +141,7 @@ void loopnestRandomization(int64_t seed, LoopNest& l) {
   int max_allowed_transformations = 20;
   int n_transforms = randomization_helper::max_transformations(
       std::rand() % max_allowed_transformations);
-  std::string message = "";
+  std::string message;
   // clang-format off
   //   Transformations list:
   //

torch/csrc/jit/testing/file_check.cpp

@@ -100,8 +100,8 @@ size_t assertFind(
     std::stringstream ss;
     ss << "Expected to find ";
     c10::printQuotedString(ss, sub);
-    ss << " but did not find it" << std::endl;
-    ss << "Searched string:" << std::endl;
+    ss << " but did not find it" << '\n';
+    ss << "Searched string:" << '\n';
     found_range.highlight(ss);
     if (extra_msg) {
       extra_msg(ss);
@@ -139,8 +139,8 @@ size_t assertFindRegex(
     std::stringstream ss;
     ss << "Expected to find regex ";
     c10::printQuotedString(ss, sub);
-    ss << " but did not find it" << std::endl;
-    ss << "Searched string:" << std::endl;
+    ss << " but did not find it" << '\n';
+    ss << "Searched string:" << '\n';
     if (extra_msg) {
       extra_msg(ss);
     }
@@ -363,7 +363,7 @@ struct FileCheckImpl {
       std::stringstream ss;
       ss << "Expected to find ";
       c10::printQuotedString(ss, check.search_str_);
-      ss << "highlighted but it is not." << std::endl;
+      ss << "highlighted but it is not." << '\n';
       error_range.highlight(ss);
       throw std::runtime_error(ss.str());
     };