Remove more unused variables in tests (pytorch#127510)

Follows pytorch#127379

Pull Request resolved: pytorch#127510
Approved by: https://github.com/Skylion007, https://github.com/r-barnes

Author: cyyever

test/cpp/api/CMakeLists.txt

@@ -51,9 +51,6 @@ endif()
 add_executable(test_api ${TORCH_API_TEST_SOURCES})
 target_include_directories(test_api PRIVATE ${ATen_CPU_INCLUDE})
 target_link_libraries(test_api PRIVATE torch gtest)
-if(NOT MSVC)
-  target_compile_options_if_supported(test_api -Wno-unused-variable)
-endif()
 
 if(USE_CUDA)
   target_compile_definitions(test_api PRIVATE "USE_CUDA")

test/cpp/api/serialize.cpp

@@ -806,7 +806,6 @@ TEST(SerializeTest, Optim_RMSprop) {
   for (const auto i : c10::irange(params1_2_.size())) {
     if (i != (params1_2_.size() - 1)) {
       auto key_ = params_[i].unsafeGetTensorImpl();
-      auto key1_2_ = params1_2_[i].unsafeGetTensorImpl();
       const RMSpropParamState& curr_state_ =
           static_cast<const RMSpropParamState&>(*(optim1_state.at(key_).get()));
       RMSpropParamState& curr_state1_2_ =

test/cpp/tensorexpr/test_llvm.cpp

@@ -1474,7 +1474,6 @@ TEST(LLVM, RFactorReduction) {
 TEST(LLVM, RFactorVectorizedReduction) {
   int M = 128;
   int N = 64;
-  const int kTotalSize = M * N;
 
   BufHandle a("a", {1, M, N}, kFloat);
 

test/cpp/tensorexpr/test_reductions.cpp

@@ -1092,6 +1092,7 @@ TEST(Reductions, ReduceOverSplitRfactor) {
 
   // Check the IR to verify the rfactored reduce is eliminated.
   // TODO: The alloc free should be eliminated here since it is size 0.
+  /*
   const std::string& verification_pattern =
       R"IR(
 # CHECK: Allocate(tmp_buf); // dtype=float, dims=[0]
@@ -1102,6 +1103,7 @@ TEST(Reductions, ReduceOverSplitRfactor) {
 # CHECK:   }
 # CHECK: }
 # CHECK: Free(tmp_buf);)IR";
+  */
   // TODO: rfactor output is not consistent yet, will fix (@nickg).
   // torch::jit::testing::FileCheck().run(verification_pattern, oss.str());
 }

torch/csrc/api/include/torch/data/dataloader/stateful.h

@@ -36,10 +36,8 @@ class StatefulDataLoader : public DataLoaderBase<
 
   /// Constructs the `StatefulDataLoader` from a `dataset` and some `options`.
   StatefulDataLoader(Dataset dataset, DataLoaderOptions options)
-      : super(
-            std::move(options),
-            std::make_unique<Dataset>(std::move(dataset))) {
-    for (const auto w : c10::irange(this->options_.workers)) {
+      : super(options, std::make_unique<Dataset>(std::move(dataset))) {
+    for ([[maybe_unused]] const auto _ : c10::irange(this->options_.workers)) {
       // As opposed to the stateless case, here all worker threads access the
       // same underlying dataset.
       this->workers_.emplace_back(

torch/csrc/jit/api/module.h

@@ -541,9 +541,7 @@ struct slot_list_impl {
   size_t size() const {
     if (!size_) {
       size_ = size_t(0);
-      // NOLINTNEXTLINE(clang-diagnostic-unused-variable)
-      for (const value_type& s : *(this)) {
-        (void)s; // Suppress unused variable warning
+      for ([[maybe_unused]] const value_type& _ : *(this)) {
         ++*size_;
       }
     }