Apply modernize-use-override - 2/2

Summary:
Use C++11’s override and remove virtual where applicable.
Change are automatically generated.

Reviewed By: Orvid

Differential Revision: D14054721

fbshipit-source-id: 15d266fa1779b1e3ea6270f00841d7fb1e4d44ee

19 files changed, 37 insertions, 34 deletions

diff --git a/caffe2/operators/conv_transpose_op_cudnn.cc b/caffe2/operators/conv_transpose_op_cudnn.cc
index cd2ec26d79..a4ee8d28ac 100644
--- a/caffe2/operators/conv_transpose_op_cudnn.cc
+++ b/caffe2/operators/conv_transpose_op_cudnn.cc
@@ -53,7 +53,7 @@ class CudnnConvTransposeOpBase : public ConvTransposeUnpoolBase<CUDAContext> {
     CUDNN_ENFORCE(cudnnCreateConvolutionDescriptor(&conv_desc_));
   }
 
-  ~CudnnConvTransposeOpBase() {
+  ~CudnnConvTransposeOpBase() override {
     CUDNN_ENFORCE(cudnnDestroyTensorDescriptor(bottom_desc_));
     CUDNN_ENFORCE(cudnnDestroyFilterDescriptor(filter_desc_));
     if (InputSize() == 3) {
@@ -88,7 +88,7 @@ class CudnnConvTransposeOp final : public CudnnConvTransposeOpBase {
   CudnnConvTransposeOp(const OperatorDef& operator_def, Workspace* ws)
       : CudnnConvTransposeOpBase(operator_def, ws) {}
 
-  ~CudnnConvTransposeOp() {}
+  ~CudnnConvTransposeOp() override {}
 
   bool RunOnDevice() override;
 
@@ -111,7 +111,7 @@ class CudnnConvTransposeGradientOp final : public CudnnConvTransposeOpBase {
         "If bias is not present, you should not have 3 grad output.");
   }
 
-  ~CudnnConvTransposeGradientOp() {}
+  ~CudnnConvTransposeGradientOp() override {}
 
   bool RunOnDevice() override;
 
diff --git a/caffe2/operators/counter_ops.cc b/caffe2/operators/counter_ops.cc
index 2a2278c313..e971aae876 100644
--- a/caffe2/operators/counter_ops.cc
+++ b/caffe2/operators/counter_ops.cc
@@ -136,7 +136,7 @@ namespace {
 class CounterSerializer : public BlobSerializerBase {
  public:
   CounterSerializer() {}
-  ~CounterSerializer() {}
+  ~CounterSerializer() override {}
 
   void Serialize(
       const void* pointer,
diff --git a/caffe2/operators/dataset_ops.cc b/caffe2/operators/dataset_ops.cc
index 4a8efc4621..f371c9f752 100644
--- a/caffe2/operators/dataset_ops.cc
+++ b/caffe2/operators/dataset_ops.cc
@@ -1419,7 +1419,7 @@ SHOULD_NOT_DO_GRADIENT(PackRecords);
 class TreeCursorSerializer : public BlobSerializerBase {
  public:
   TreeCursorSerializer() {}
-  ~TreeCursorSerializer() {}
+  ~TreeCursorSerializer() override {}
 
   void Serialize(
       const void* pointer,
diff --git a/caffe2/operators/dropout_op_cudnn.cc b/caffe2/operators/dropout_op_cudnn.cc
index ffec6b1c2e..8f3241e3ae 100644
--- a/caffe2/operators/dropout_op_cudnn.cc
+++ b/caffe2/operators/dropout_op_cudnn.cc
@@ -36,7 +36,7 @@ class CuDNNDropoutOp final : public Operator<CUDAContext> {
     }
   }
 
-  ~CuDNNDropoutOp() noexcept {
+  ~CuDNNDropoutOp() noexcept override {
     CUDNN_ENFORCE(cudnnDestroyTensorDescriptor(data_desc_));
     CUDNN_ENFORCE(cudnnDestroyDropoutDescriptor(dropout_desc_));
   }
@@ -98,7 +98,7 @@ class CuDNNDropoutGradientOp final : public Operator<CUDAContext> {
     CAFFE_ENFORCE(scratch_blob_);
   }
 
-  ~CuDNNDropoutGradientOp() noexcept {
+  ~CuDNNDropoutGradientOp() noexcept override {
     CUDNN_ENFORCE(cudnnDestroyTensorDescriptor(data_desc_));
     CUDNN_ENFORCE(cudnnDestroyDropoutDescriptor(dropout_desc_));
   }
diff --git a/caffe2/operators/index_ops.cc b/caffe2/operators/index_ops.cc
index b06c706bc9..b4db62b78d 100644
--- a/caffe2/operators/index_ops.cc
+++ b/caffe2/operators/index_ops.cc
@@ -248,7 +248,7 @@ SHOULD_NOT_DO_GRADIENT(IndexSize);
 class IndexSerializer : public BlobSerializerBase {
  public:
   IndexSerializer() {}
-  ~IndexSerializer() {}
+  ~IndexSerializer() override {}
 
   void Serialize(
       const void* pointer,
diff --git a/caffe2/operators/local_response_normalization_op_cudnn.cc b/caffe2/operators/local_response_normalization_op_cudnn.cc
index 10d1a9a10d..02937a758b 100644
--- a/caffe2/operators/local_response_normalization_op_cudnn.cc
+++ b/caffe2/operators/local_response_normalization_op_cudnn.cc
@@ -23,7 +23,7 @@ class CuDNNLRNOp final : public Operator<CUDAContext> {
         cudnnSetLRNDescriptor(norm_desc_, size_, alpha_, beta_, bias_));
   }
 
-  ~CuDNNLRNOp() {
+  ~CuDNNLRNOp() override {
     CUDNN_ENFORCE(cudnnDestroyTensorDescriptor(data_desc_));
     CUDNN_ENFORCE(cudnnDestroyLRNDescriptor(norm_desc_));
   }
@@ -65,7 +65,7 @@ class CuDNNLRNGradientOp final : public Operator<CUDAContext> {
         cudnnSetLRNDescriptor(norm_desc_, size_, alpha_, beta_, bias_));
   }
 
-  ~CuDNNLRNGradientOp() {
+  ~CuDNNLRNGradientOp() override {
     CUDNN_ENFORCE(cudnnDestroyTensorDescriptor(data_desc_));
     CUDNN_ENFORCE(cudnnDestroyLRNDescriptor(norm_desc_));
   }
diff --git a/caffe2/operators/mem_query_op.cu b/caffe2/operators/mem_query_op.cu
index fcd14a9aa9..a9ea23573b 100644
--- a/caffe2/operators/mem_query_op.cu
+++ b/caffe2/operators/mem_query_op.cu
@@ -8,7 +8,7 @@ class GetGPUMemoryUsageOp final : public Operator<CUDAContext> {
  public:
   GetGPUMemoryUsageOp(const OperatorDef& operator_def, Workspace* ws)
       : Operator<CUDAContext>(operator_def, ws) {}
-  ~GetGPUMemoryUsageOp() {}
+  ~GetGPUMemoryUsageOp() override {}
 
   bool RunOnDevice() override {
     CHECK_EQ(InputSize(), 0);
diff --git a/caffe2/operators/norm_planar_yuv_op.cc b/caffe2/operators/norm_planar_yuv_op.cc
index 724ce14e80..19fc08aba2 100644
--- a/caffe2/operators/norm_planar_yuv_op.cc
+++ b/caffe2/operators/norm_planar_yuv_op.cc
@@ -12,7 +12,7 @@ class NormalizePlanarYUVOp : public Operator<CPUContext> {
   USE_OPERATOR_FUNCTIONS(CPUContext);
   using Operator<CPUContext>::Operator;
 
-  bool RunOnDevice() {
+  bool RunOnDevice() override {
     const auto& X = Input(0);
     const auto& M = Input(1); // mean
     const auto& S = Input(2); // standard deviation
diff --git a/caffe2/operators/operator_fallback_gpu_test.cc b/caffe2/operators/operator_fallback_gpu_test.cc
index 7b8bb97040..5606bac38c 100644
--- a/caffe2/operators/operator_fallback_gpu_test.cc
+++ b/caffe2/operators/operator_fallback_gpu_test.cc
@@ -11,7 +11,7 @@ class IncrementByOneOp final : public Operator<CPUContext> {
  public:
   IncrementByOneOp(const OperatorDef& def, Workspace* ws)
       : Operator<CPUContext>(def, ws) {}
-  bool RunOnDevice() {
+  bool RunOnDevice() override {
     const auto& in = Input(0);
 
     auto* out = Output(0, in.sizes(), at::dtype<float>());
diff --git a/caffe2/operators/order_switch_ops_cudnn.cc b/caffe2/operators/order_switch_ops_cudnn.cc
index 46704c812c..6d4f7c5bf4 100644
--- a/caffe2/operators/order_switch_ops_cudnn.cc
+++ b/caffe2/operators/order_switch_ops_cudnn.cc
@@ -22,7 +22,7 @@ class CuDNNOrderSwithOpBase : public Operator<CUDAContext> {
     CUDNN_ENFORCE(cudnnCreateTensorDescriptor(&Y_desc_));
   }
 
-  virtual ~CuDNNOrderSwithOpBase() {
+  ~CuDNNOrderSwithOpBase() override {
     CUDNN_ENFORCE(cudnnDestroyTensorDescriptor(X_desc_));
     CUDNN_ENFORCE(cudnnDestroyTensorDescriptor(Y_desc_));
   }
diff --git a/caffe2/operators/pool_op_cudnn.cc b/caffe2/operators/pool_op_cudnn.cc
index 120d29bb11..45dfc41b79 100644
--- a/caffe2/operators/pool_op_cudnn.cc
+++ b/caffe2/operators/pool_op_cudnn.cc
@@ -86,7 +86,7 @@ class CuDNNPoolOp final : public ConvPoolOpBase<CUDAContext> {
     }
   }
 
-  ~CuDNNPoolOp() {
+  ~CuDNNPoolOp() override {
     CUDNN_ENFORCE(cudnnDestroyTensorDescriptor(X_desc_));
     CUDNN_ENFORCE(cudnnDestroyTensorDescriptor(Y_desc_));
     CUDNN_ENFORCE(cudnnDestroyPoolingDescriptor(pooling_desc_));
@@ -226,7 +226,7 @@ class CuDNNPoolGradientOp final : public ConvPoolOpBase<CUDAContext> {
     }
   }
 
-  ~CuDNNPoolGradientOp() {
+  ~CuDNNPoolGradientOp() override {
     CUDNN_ENFORCE(cudnnDestroyTensorDescriptor(X_desc_));
     CUDNN_ENFORCE(cudnnDestroyTensorDescriptor(Y_desc_));
     CUDNN_ENFORCE(cudnnDestroyPoolingDescriptor(pooling_desc_));
diff --git a/caffe2/operators/softmax_op_cudnn.cc b/caffe2/operators/softmax_op_cudnn.cc
index 28880e9787..38f9c40bf4 100644
--- a/caffe2/operators/softmax_op_cudnn.cc
+++ b/caffe2/operators/softmax_op_cudnn.cc
@@ -22,7 +22,7 @@ class CuDNNSoftmaxOp final : public Operator<CUDAContext> {
     CUDNN_ENFORCE(cudnnCreateTensorDescriptor(&desc_));
   }
 
-  ~CuDNNSoftmaxOp() {
+  ~CuDNNSoftmaxOp() override {
     CUDNN_ENFORCE(cudnnDestroyTensorDescriptor(desc_));
   }
 
@@ -84,7 +84,7 @@ class CuDNNSoftmaxGradientOp final : public Operator<CUDAContext> {
     CUDNN_ENFORCE(cudnnCreateTensorDescriptor(&desc_));
   }
 
-  ~CuDNNSoftmaxGradientOp() {
+  ~CuDNNSoftmaxGradientOp() override {
     CUDNN_ENFORCE(cudnnDestroyTensorDescriptor(desc_));
   }
 
diff --git a/caffe2/operators/stylizer_ops.cc b/caffe2/operators/stylizer_ops.cc
index 76bdbce45b..9b4e69f231 100644
--- a/caffe2/operators/stylizer_ops.cc
+++ b/caffe2/operators/stylizer_ops.cc
@@ -74,7 +74,7 @@ class PackedInt8BGRANHWCToNCHWCStylizerPreprocessOp
       Workspace* ws)
       : Operator<CPUContext>(operator_def, ws), ws_(ws) {}
 
-  bool RunOnDevice() {
+  bool RunOnDevice() override {
     const auto& X = Input(0);
     const auto& mean = Input(1);
 
@@ -410,7 +410,7 @@ class BRGNCHWCToPackedInt8BGRAStylizerDeprocessOp
   // Expect this many channels as output
   static constexpr int kOutputChannels = 4;
 
-  bool RunOnDevice() {
+  bool RunOnDevice() override {
     const auto& X = Input(0);
     const auto& mean = Input(1);
 
diff --git a/caffe2/operators/text_file_reader_utils_test.cc b/caffe2/operators/text_file_reader_utils_test.cc
index 43d8d1466a..ddec638b3a 100644
--- a/caffe2/operators/text_file_reader_utils_test.cc
+++ b/caffe2/operators/text_file_reader_utils_test.cc
@@ -66,7 +66,7 @@ TEST(TextFileReaderUtilsTest, TokenizeTest) {
     ChunkProvider(const std::string& str) : ch(str) {}
     std::string ch;
     size_t charIdx{0};
-    void operator()(CharRange& range) {
+    void operator()(CharRange& range) override {
       if (charIdx >= ch.size()) {
         range.start = nullptr;
         range.end = nullptr;
@@ -77,7 +77,7 @@ TEST(TextFileReaderUtilsTest, TokenizeTest) {
         charIdx = endIdx;
       }
     };
-    void reset() {
+    void reset() override {
       charIdx = 0;
     }
   };
diff --git a/caffe2/operators/transpose_op_cudnn.cc b/caffe2/operators/transpose_op_cudnn.cc
index 874ecf6a23..2b0f12ec0e 100644
--- a/caffe2/operators/transpose_op_cudnn.cc
+++ b/caffe2/operators/transpose_op_cudnn.cc
@@ -34,7 +34,7 @@ class CuDNNTransposeOp final : public Operator<CUDAContext> {
     CUDNN_ENFORCE(cudnnCreateTensorDescriptor(&yDesc_));
   }
 
-  ~CuDNNTransposeOp() {
+  ~CuDNNTransposeOp() override {
     CUDNN_ENFORCE(cudnnDestroyTensorDescriptor(xDesc_));
     CUDNN_ENFORCE(cudnnDestroyTensorDescriptor(yDesc_));
   }
diff --git a/caffe2/operators/utility_ops_cudnn.cc b/caffe2/operators/utility_ops_cudnn.cc
index bd04f30762..7fe4503b2b 100644
--- a/caffe2/operators/utility_ops_cudnn.cc
+++ b/caffe2/operators/utility_ops_cudnn.cc
@@ -21,7 +21,7 @@ class CuDNNWeightedSumOp : public Operator<CUDAContext> {
         add_desc_, CUDNN_OP_TENSOR_ADD, CUDNN_DATA_FLOAT, CUDNN_PROPAGATE_NAN));
   }
 
-  ~CuDNNWeightedSumOp() {
+  ~CuDNNWeightedSumOp() override {
     CUDNN_ENFORCE(cudnnDestroyTensorDescriptor(data_desc_));
     CUDNN_ENFORCE(cudnnDestroyOpTensorDescriptor(add_desc_));
   }
diff --git a/caffe2/opt/converter.cc b/caffe2/opt/converter.cc
index 2f9c8fbe2d..6f5cde56bc 100644
--- a/caffe2/opt/converter.cc
+++ b/caffe2/opt/converter.cc
@@ -137,7 +137,7 @@ class ConvConverter : public Converter {
   }
   // Does not override default converter to OperatorDef
 
-  virtual ~ConvConverter() {}
+  ~ConvConverter() override {}
 };
 
 REGISTER_CONVERTER(Conv, ConvConverter);
@@ -175,7 +175,7 @@ class ClipConverter : public Converter {
   }
   // Does not override default converter to OperatorDef
 
-  virtual ~ClipConverter() {}
+  ~ClipConverter() override {}
 };
 REGISTER_CONVERTER(Clip, ClipConverter);
 
@@ -190,7 +190,7 @@ class AveragePoolConverter : public Converter {
   }
   // Does not override default converter to OperatorDef
 
-  virtual ~AveragePoolConverter() {}
+  ~AveragePoolConverter() override {}
 };
 REGISTER_CONVERTER(AveragePool, AveragePoolConverter);
 
@@ -205,7 +205,7 @@ class MaxPoolConverter : public Converter {
   }
   // Does not override default converter to OperatorDef
 
-  virtual ~MaxPoolConverter() {}
+  ~MaxPoolConverter() override {}
 };
 REGISTER_CONVERTER(MaxPool, MaxPoolConverter);
 
@@ -231,7 +231,7 @@ class ConcatConverter : public Converter {
   }
   // Does not override default converter to OperatorDef
 
-  virtual ~ConcatConverter() {}
+  ~ConcatConverter() override {}
 };
 REGISTER_CONVERTER(Concat, ConcatConverter);
 
@@ -258,7 +258,7 @@ class FCConverter : public Converter {
   }
   // Does not override default converter to OperatorDef
 
-  virtual ~FCConverter() {}
+  ~FCConverter() override {}
 };
 REGISTER_CONVERTER(FC, FCConverter);
 
diff --git a/caffe2/python/pybind_state_ideep.cc b/caffe2/python/pybind_state_ideep.cc
index f829622e38..7057ca9eca 100644
--- a/caffe2/python/pybind_state_ideep.cc
+++ b/caffe2/python/pybind_state_ideep.cc
@@ -160,8 +160,11 @@ public:
 #endif
   }
 
-  void Feed(const DeviceOption &option, PyArrayObject *original_array,
-            Blob *blob, bool in_place) {
+  void Feed(
+      const DeviceOption& option,
+      PyArrayObject* original_array,
+      Blob* blob,
+      bool in_place) override {
 #ifdef USE_NUMPY
     try {
       PyArrayObject *array = PyArray_GETCONTIGUOUS(original_array);
diff --git a/caffe2/utils/threadpool/ThreadPool.cc b/caffe2/utils/threadpool/ThreadPool.cc
index cf0dbc25f8..b6e8d7519d 100644
--- a/caffe2/utils/threadpool/ThreadPool.cc
+++ b/caffe2/utils/threadpool/ThreadPool.cc
@@ -113,12 +113,12 @@ void ThreadPool::run(const std::function<void(int, size_t)>& fn, size_t range) {
 
   struct FnTask : public Task {
     FnTask(){};
-    virtual ~FnTask(){};
+    ~FnTask() override{};
     const std::function<void(int, size_t)> *fn_;
     int idx_;
     size_t start_;
     size_t end_;
-    virtual void Run() override {
+    void Run() override {
       for (auto i = start_; i < end_; ++i) {
         (*fn_)(idx_, i);
       }