refactor caffe2 operator constructors - 8/9 (#17089)

Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/17089

clangr codemod

Reviewed By: ezyang

Differential Revision: D14078539

fbshipit-source-id: 9ca196af4af7f26fc82e6cf82b35d478d0597752

caffe2/operators/slice_op.h

@@ -202,8 +202,9 @@ template <class Context>
 class SliceOp : public Operator<Context> {
  public:
   USE_OPERATOR_CONTEXT_FUNCTIONS;
-  SliceOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws),
+  template <class... Args>
+  explicit SliceOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
         starts_(this->template GetRepeatedArgument<int64_t>("starts")),
         ends_(this->template GetRepeatedArgument<int64_t>("ends")),
         statically_inited_(false) {}
@@ -263,8 +264,9 @@ template <class Context>
 class SliceGradientOp : public Operator<Context> {
  public:
   USE_OPERATOR_CONTEXT_FUNCTIONS;
-  SliceGradientOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws),
+  template <class... Args>
+  explicit SliceGradientOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
         starts_(this->template GetRepeatedArgument<int64_t>("starts")),
         ends_(this->template GetRepeatedArgument<int64_t>("ends")),
         statically_inited_(false) {}

caffe2/operators/softmax_op.h

@@ -11,9 +11,10 @@ namespace caffe2 {
 template <typename T, class Context>
 class SoftmaxOp final : public Operator<Context> {
  public:
-  SoftmaxOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws),
-      axis_(this->template GetSingleArgument<int>("axis", 1)) {}
+  template <class... Args>
+  explicit SoftmaxOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
+        axis_(this->template GetSingleArgument<int>("axis", 1)) {}
   USE_OPERATOR_CONTEXT_FUNCTIONS;
   bool RunOnDevice() override;
 
@@ -27,8 +28,9 @@ class SoftmaxOp final : public Operator<Context> {
 template <typename T, class Context>
 class SoftmaxGradientOp final : public Operator<Context> {
  public:
-  SoftmaxGradientOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws),
+  template <class... Args>
+  explicit SoftmaxGradientOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
         axis_(this->template GetSingleArgument<int>("axis", 1)) {}
   USE_OPERATOR_CONTEXT_FUNCTIONS;
   bool RunOnDevice() override;

caffe2/operators/softmax_op_cudnn.cc

@@ -15,8 +15,9 @@ constexpr int TOP_GRADIENT_DESC_ID = 2;
 
 class CuDNNSoftmaxOp final : public Operator<CUDAContext> {
  public:
-  explicit CuDNNSoftmaxOp(const OperatorDef& def, Workspace* ws)
-      : Operator<CUDAContext>(def, ws),
+  template <class... Args>
+  explicit CuDNNSoftmaxOp(Args&&... args)
+      : Operator<CUDAContext>(std::forward<Args>(args)...),
         cudnn_wrapper_(&context_),
         axis_(OperatorBase::GetSingleArgument<int>("axis", 1)) {
     CUDNN_ENFORCE(cudnnCreateTensorDescriptor(&desc_));
@@ -77,8 +78,9 @@ class CuDNNSoftmaxOp final : public Operator<CUDAContext> {
 
 class CuDNNSoftmaxGradientOp final : public Operator<CUDAContext> {
  public:
-  explicit CuDNNSoftmaxGradientOp(const OperatorDef& def, Workspace* ws)
-      : Operator<CUDAContext>(def, ws),
+  template <class... Args>
+  explicit CuDNNSoftmaxGradientOp(Args&&... args)
+      : Operator<CUDAContext>(std::forward<Args>(args)...),
         cudnn_wrapper_(&context_),
         axis_(OperatorBase::GetSingleArgument<int>("axis", 1)) {
     CUDNN_ENFORCE(cudnnCreateTensorDescriptor(&desc_));

caffe2/operators/softmax_with_loss_op.h

@@ -11,10 +11,12 @@ namespace caffe2 {
 template <typename T, class Context>
 class SoftmaxWithLossOp final : public Operator<Context> {
  public:
-  SoftmaxWithLossOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws),
+  template <class... Args>
+  explicit SoftmaxWithLossOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
         scale_(this->template GetSingleArgument<float>("scale", 1.)),
-        label_prob_mode_(this->template GetSingleArgument<int>("label_prob", 0)),
+        label_prob_mode_(
+            this->template GetSingleArgument<int>("label_prob", 0)),
         order_(StringToStorageOrder(
             this->template GetSingleArgument<string>("order", "NCHW"))),
         axis_(this->template GetSingleArgument<int>("axis", 1)) {
@@ -44,10 +46,12 @@ class SoftmaxWithLossOp final : public Operator<Context> {
 template <typename T, class Context>
 class SoftmaxWithLossGradientOp final : public Operator<Context> {
  public:
-  SoftmaxWithLossGradientOp(const OperatorDef& def, Workspace* ws)
-      : Operator<Context>(def, ws),
+  template <class... Args>
+  explicit SoftmaxWithLossGradientOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
         scale_(this->template GetSingleArgument<float>("scale", 1.)),
-        label_prob_mode_(this->template GetSingleArgument<int>("label_prob", 0)),
+        label_prob_mode_(
+            this->template GetSingleArgument<int>("label_prob", 0)),
         order_(StringToStorageOrder(
             this->template GetSingleArgument<string>("order", "NCHW"))),
         only_loss_(this->template GetSingleArgument<bool>("only_loss", false)),

caffe2/operators/space_batch_op.h

@@ -111,8 +111,9 @@ template <typename Context>
 class SpaceBatchOpBase : public Operator<Context> {
  public:
   USE_OPERATOR_CONTEXT_FUNCTIONS;
-  SpaceBatchOpBase(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws),
+  template <class... Args>
+  explicit SpaceBatchOpBase(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
         pad_(this->template GetSingleArgument<int>("pad", 0)),
         pad_t_(this->template GetSingleArgument<int>("pad_t", pad_)),
         pad_l_(this->template GetSingleArgument<int>("pad", pad_)),

caffe2/operators/sparse_normalize_op.h

@@ -9,8 +9,9 @@ template <typename T, class Context>
 class CAFFE2_API SparseNormalizeOp final : public Operator<Context> {
  public:
   USE_OPERATOR_CONTEXT_FUNCTIONS;
-  SparseNormalizeOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws),
+  template <class... Args>
+  explicit SparseNormalizeOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
         use_max_norm_(
             this->template GetSingleArgument<bool>("use_max_norm", true)),
         norm_(this->template GetSingleArgument<float>("norm", 1.0)) {

caffe2/operators/sparse_to_dense_mask_op.h

@@ -15,8 +15,9 @@ template <class Context>
 class SparseToDenseMaskBase : public Operator<Context> {
  public:
   USE_OPERATOR_CONTEXT_FUNCTIONS;
-  SparseToDenseMaskBase(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws) {
+  template <class... Args>
+  explicit SparseToDenseMaskBase(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...) {
     std::vector<int64_t> mask =
         this->template GetRepeatedArgument<int64_t>("mask");
     featuresCount_ = mask.size();
@@ -62,8 +63,9 @@ template <class Context>
 class SparseToDenseMaskOp : public SparseToDenseMaskBase<Context> {
  public:
   USE_OPERATOR_CONTEXT_FUNCTIONS;
-  SparseToDenseMaskOp(const OperatorDef& operator_def, Workspace* ws)
-      : SparseToDenseMaskBase<Context>(operator_def, ws) {
+  template <class... Args>
+  explicit SparseToDenseMaskOp(Args&&... args)
+      : SparseToDenseMaskBase<Context>(std::forward<Args>(args)...) {
     returnPresenceMask_ = this->template GetSingleArgument<bool>(
         "return_presence_mask", false);
     maxSkippedSparseIndices_ =
@@ -192,8 +194,9 @@ template <class Context>
 class SparseToDenseMaskGradientOp : public SparseToDenseMaskBase<Context> {
  public:
   USE_OPERATOR_CONTEXT_FUNCTIONS;
-  SparseToDenseMaskGradientOp(const OperatorDef& operator_def, Workspace* ws)
-      : SparseToDenseMaskBase<Context>(operator_def, ws) {}
+  template <class... Args>
+  explicit SparseToDenseMaskGradientOp(Args&&... args)
+      : SparseToDenseMaskBase<Context>(std::forward<Args>(args)...) {}
 
   bool RunOnDevice() override {
     return DispatchHelper<TensorTypes<int32_t, int64_t>>::call(

caffe2/operators/sparse_to_dense_op.h

@@ -13,8 +13,9 @@ class SparseToDenseOp final : public Operator<Context> {
   USE_OPERATOR_CONTEXT_FUNCTIONS;
   USE_DISPATCH_HELPER;
 
-  SparseToDenseOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws),
+  template <class... Args>
+  explicit SparseToDenseOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
         output_first_dim_(
             this->template GetSingleArgument<int>("output_first_dim", 0)) {}
 

caffe2/operators/spatial_batch_norm_op.h

@@ -19,8 +19,9 @@ class SpatialBNOp : public Operator<Context> {
  public:
   USE_OPERATOR_CONTEXT_FUNCTIONS;
 
-  SpatialBNOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws),
+  template <class... Args>
+  explicit SpatialBNOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
         OP_SINGLE_ARG(bool, OpSchema::Arg_IsTest, is_test_, false),
         OP_SINGLE_ARG(double, "epsilon", epsilon_, 1e-5),
         OP_SINGLE_ARG(float, "momentum", momentum_, 0.9f),
@@ -281,8 +282,9 @@ class SpatialBNGradientOp : public Operator<Context> {
  public:
   USE_OPERATOR_CONTEXT_FUNCTIONS;
 
-  SpatialBNGradientOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws),
+  template <class... Args>
+  explicit SpatialBNGradientOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
         OP_SINGLE_ARG(double, "epsilon", epsilon_, 1e-5),
         order_(StringToStorageOrder(
             this->template GetSingleArgument<string>("order", "NCHW"))),

caffe2/operators/spatial_softmax_with_loss_op.h

@@ -11,8 +11,9 @@ namespace caffe2 {
 template <typename T, class Context>
 class SpatialSoftmaxWithLossOp final : public Operator<Context> {
  public:
-  SpatialSoftmaxWithLossOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws),
+  template <class... Args>
+  explicit SpatialSoftmaxWithLossOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
         scale_(this->template GetSingleArgument<float>("scale", 1.)),
         order_(StringToStorageOrder(
             this->template GetSingleArgument<string>("order", "NCHW"))) {
@@ -39,8 +40,9 @@ class SpatialSoftmaxWithLossOp final : public Operator<Context> {
 template <typename T, class Context>
 class SpatialSoftmaxWithLossGradientOp final : public Operator<Context> {
  public:
-  SpatialSoftmaxWithLossGradientOp(const OperatorDef& def, Workspace* ws)
-      : Operator<Context>(def, ws),
+  template <class... Args>
+  explicit SpatialSoftmaxWithLossGradientOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
         scale_(this->template GetSingleArgument<float>("scale", 1.)),
         order_(StringToStorageOrder(
             this->template GetSingleArgument<string>("order", "NCHW"))),

caffe2/operators/square_root_divide_op.h

@@ -13,8 +13,9 @@ class SquareRootDivideOp final : public Operator<Context> {
   USE_OPERATOR_CONTEXT_FUNCTIONS;
   USE_DISPATCH_HELPER;
 
-  SquareRootDivideOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws) {}
+  template <class... Args>
+  explicit SquareRootDivideOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...) {}
 
   bool RunOnDevice() override {
     return DispatchHelper<TensorTypes<float>>::call(this, Input(DATA));

caffe2/operators/stats_ops.cc

@@ -8,8 +8,9 @@ namespace caffe2 {
 
 class StatRegistryCreateOp : public Operator<CPUContext> {
  public:
-  StatRegistryCreateOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator(operator_def, ws) {}
+  template <class... Args>
+  explicit StatRegistryCreateOp(Args&&... args)
+      : Operator(std::forward<Args>(args)...) {}
 
   bool RunOnDevice() override {
     *OperatorBase::Output<std::unique_ptr<StatRegistry>>(0) =
@@ -20,8 +21,9 @@ class StatRegistryCreateOp : public Operator<CPUContext> {
 
 class StatRegistryExportOp : public Operator<CPUContext> {
  public:
-  StatRegistryExportOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator(operator_def, ws),
+  template <class... Args>
+  explicit StatRegistryExportOp(Args&&... args)
+      : Operator(std::forward<Args>(args)...),
         reset_(GetSingleArgument<bool>("reset", true)) {}
 
   bool RunOnDevice() override {
@@ -55,8 +57,9 @@ class StatRegistryExportOp : public Operator<CPUContext> {
 
 class StatRegistryUpdateOp : public Operator<CPUContext> {
  public:
-  StatRegistryUpdateOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator(operator_def, ws) {}
+  template <class... Args>
+  explicit StatRegistryUpdateOp(Args&&... args)
+      : Operator(std::forward<Args>(args)...) {}
 
   bool RunOnDevice() override {
     const auto& keys = Input(0);
@@ -118,7 +121,7 @@ class TimerInstance {
 };
 
 struct TimerBeginOp : public Operator<CPUContext> {
-  TimerBeginOp(const OperatorDef& operator_def, Workspace* ws)
+  explicit TimerBeginOp(const OperatorDef& operator_def, Workspace* ws)
       : Operator(operator_def, ws),
         given_name_(GetSingleArgument<std::string>(
             "counter_name",
@@ -137,8 +140,8 @@ struct TimerBeginOp : public Operator<CPUContext> {
 };
 
 struct TimerEndOp : public Operator<CPUContext> {
-  TimerEndOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator(operator_def, ws) {}
+  template <class... Args>
+  explicit TimerEndOp(Args&&... args) : Operator(std::forward<Args>(args)...) {}
 
   bool RunOnDevice() override {
     OperatorBase::Input<TimerInstance*>(0)->end();
@@ -147,8 +150,9 @@ struct TimerEndOp : public Operator<CPUContext> {
 };
 
 struct TimerGetAndEndOp : public Operator<CPUContext> {
-  TimerGetAndEndOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator(operator_def, ws) {}
+  template <class... Args>
+  explicit TimerGetAndEndOp(Args&&... args)
+      : Operator(std::forward<Args>(args)...) {}
 
   bool RunOnDevice() override {
     int64_t nanos = OperatorBase::Input<TimerInstance*>(0)->get_ns();
@@ -161,8 +165,8 @@ struct TimerGetAndEndOp : public Operator<CPUContext> {
 };
 
 struct TimerGetOp : public Operator<CPUContext> {
-  TimerGetOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator(operator_def, ws) {}
+  template <class... Args>
+  explicit TimerGetOp(Args&&... args) : Operator(std::forward<Args>(args)...) {}
 
   bool RunOnDevice() override {
     int64_t nanos = OperatorBase::Input<TimerInstance*>(0)->get_ns();

caffe2/operators/stats_put_ops.h

@@ -8,7 +8,7 @@ namespace caffe2 {
 
 template <typename T>
 struct TemplatePutOp : public Operator<CPUContext> {
-  TemplatePutOp(const OperatorDef& operator_def, Workspace* ws)
+  explicit TemplatePutOp(const OperatorDef& operator_def, Workspace* ws)
       : Operator(operator_def, ws),
         given_name_(GetSingleArgument<std::string>(
             "stat_name",

caffe2/operators/string_ops.h

@@ -41,8 +41,9 @@ class StringJoinOp final : public Operator<Context> {
  public:
   USE_OPERATOR_CONTEXT_FUNCTIONS;
 
-  StringJoinOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws),
+  template <class... Args>
+  explicit StringJoinOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
         delimiter_(
             this->template GetSingleArgument<std::string>("delimiter", ",")),
         axis_(this->template GetSingleArgument<int>("axis", 0)) {

caffe2/operators/stump_func_op.h

@@ -32,8 +32,9 @@ class StumpFuncOp final : public Operator<Context> {
  public:
   USE_OPERATOR_CONTEXT_FUNCTIONS;
 
-  StumpFuncOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws),
+  template <class... Args>
+  explicit StumpFuncOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
         threshold_(this->template GetSingleArgument<TIN>("threshold", 0)),
         low_value_(this->template GetSingleArgument<TOUT>("low_value", 0)),
         high_value_(this->template GetSingleArgument<TOUT>("high_value", 0)) {}
@@ -53,8 +54,9 @@ class StumpFuncIndexOp final : public Operator<Context> {
  public:
   USE_OPERATOR_CONTEXT_FUNCTIONS;
 
-  StumpFuncIndexOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws),
+  template <class... Args>
+  explicit StumpFuncIndexOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
         threshold_(this->template GetSingleArgument<TIN>("threshold", 0)) {}
 
   bool RunOnDevice() override;

caffe2/operators/stylizer_ops.cc

@@ -69,9 +69,7 @@ class PackedInt8BGRANHWCToNCHWCStylizerPreprocessOp
   static constexpr int kNeonNoiseReadSize = kOutputChannels * 16;
 
   USE_OPERATOR_FUNCTIONS(CPUContext);
-  PackedInt8BGRANHWCToNCHWCStylizerPreprocessOp(
-      const OperatorDef& operator_def,
-      Workspace* ws)
+  explicit PackedInt8BGRANHWCToNCHWCStylizerPreprocessOp(const OperatorDef& operator_def, Workspace* ws)
       : Operator<CPUContext>(operator_def, ws), ws_(ws) {}
 
   bool RunOnDevice() override {

caffe2/operators/summarize_op.h

@@ -14,7 +14,7 @@ constexpr char kSummaryzeOpExtension[] = ".summary";
 template <typename T, class Context>
 class SummarizeOp final : public Operator<Context> {
  public:
-  SummarizeOp(const OperatorDef& def, Workspace* ws)
+  explicit SummarizeOp(const OperatorDef& def, Workspace* ws)
       : Operator<Context>(def, ws),
         to_file_(this->template GetSingleArgument<int>("to_file", 0)) {
     if (to_file_) {

caffe2/operators/text_file_reader.cc

@@ -38,8 +38,9 @@ struct TextFileReaderInstance {
 
 class CreateTextFileReaderOp : public Operator<CPUContext> {
  public:
-  CreateTextFileReaderOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<CPUContext>(operator_def, ws),
+  template <class... Args>
+  explicit CreateTextFileReaderOp(Args&&... args)
+      : Operator<CPUContext>(std::forward<Args>(args)...),
         filename_(GetSingleArgument<string>("filename", "")),
         numPasses_(GetSingleArgument<int>("num_passes", 1)),
         fieldTypes_(GetRepeatedArgument<int>("field_types")) {
@@ -86,8 +87,9 @@ inline void convert(
 
 class TextFileReaderReadOp : public Operator<CPUContext> {
  public:
-  TextFileReaderReadOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<CPUContext>(operator_def, ws),
+  template <class... Args>
+  explicit TextFileReaderReadOp(Args&&... args)
+      : Operator<CPUContext>(std::forward<Args>(args)...),
         batchSize_(GetSingleArgument<int>("batch_size", 1)) {}
 
   bool RunOnDevice() override {

caffe2/operators/thresholded_relu_op.h

@@ -12,8 +12,9 @@ template <typename T, class Context>
 class ThresholdedReluOp final : public Operator<Context> {
  public:
   USE_OPERATOR_CONTEXT_FUNCTIONS;
-  ThresholdedReluOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws) {
+  template <class... Args>
+  explicit ThresholdedReluOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...) {
     alpha_ = this->template GetSingleArgument<T>("alpha", 1.0);
   }
 
@@ -27,8 +28,9 @@ template <typename T, class Context>
 class ThresholdedReluGradientOp final : public Operator<Context> {
  public:
   USE_OPERATOR_CONTEXT_FUNCTIONS;
-  ThresholdedReluGradientOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws) {
+  template <class... Args>
+  explicit ThresholdedReluGradientOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...) {
     alpha_ = this->template GetSingleArgument<T>("alpha", 1.0);
   }
 

caffe2/operators/tile_op.h

@@ -14,8 +14,9 @@ template <class Context>
 class TileOp : public Operator<Context> {
  public:
   USE_OPERATOR_CONTEXT_FUNCTIONS;
-  TileOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws),
+  template <class... Args>
+  explicit TileOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
         tiles_(this->template GetSingleArgument<int32_t>("tiles", 1)),
         axis_(this->template GetSingleArgument<int32_t>("axis", 0)) {}
   ~TileOp() {}
@@ -129,8 +130,9 @@ template <typename T, class Context>
 class TileGradientOp : public Operator<Context> {
  public:
   USE_OPERATOR_CONTEXT_FUNCTIONS;
-  TileGradientOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws),
+  template <class... Args>
+  explicit TileGradientOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
         tiles_(this->template GetSingleArgument<int32_t>("tiles", 1)),
         axis_(this->template GetSingleArgument<int32_t>("axis", 0)) {}
   ~TileGradientOp() {}

caffe2/operators/top_k.h

@@ -12,8 +12,9 @@ class TopKOp : public Operator<Context> {
  public:
   USE_OPERATOR_CONTEXT_FUNCTIONS;
 
-  TopKOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws),
+  template <class... Args>
+  explicit TopKOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
         OP_SINGLE_ARG(int, "k", k_, -1),
         OP_SINGLE_ARG(int, "axis", axis_, -1) {
     CAFFE_ENFORCE(k_ >= 1, "k argument must be >= 1");
@@ -33,8 +34,9 @@ class TopKGradientOp : public Operator<Context> {
  public:
   USE_OPERATOR_CONTEXT_FUNCTIONS;
 
-  TopKGradientOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws),
+  template <class... Args>
+  explicit TopKGradientOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
         OP_SINGLE_ARG(int, "axis", axis_, -1) {}
 
   ~TopKGradientOp() {}

caffe2/operators/transpose_op.h

@@ -16,8 +16,9 @@ class TransposeOp final : public Operator<Context> {
   USE_OPERATOR_CONTEXT_FUNCTIONS;
   USE_DISPATCH_HELPER;
 
-  TransposeOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws),
+  template <class... Args>
+  explicit TransposeOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
         axes_(this->template GetRepeatedArgument<int>("axes")) {
     // We will check the legality of axes_: it should be from 0 to axes_.size().
     std::vector<int> axes_sorted = axes_;

caffe2/operators/transpose_op_cudnn.cc

@@ -17,8 +17,9 @@ class CuDNNTransposeOp final : public Operator<CUDAContext> {
   USE_OPERATOR_FUNCTIONS(CUDAContext);
   USE_DISPATCH_HELPER;
 
-  CuDNNTransposeOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<CUDAContext>(operator_def, ws),
+  template <class... Args>
+  explicit CuDNNTransposeOp(Args&&... args)
+      : Operator<CUDAContext>(std::forward<Args>(args)...),
         cudnn_wrapper_(&context_),
         axes_(OperatorBase::GetRepeatedArgument<int>("axes")) {
     // We will check the legality of axes_: it should be from 0 to axes_.size().

caffe2/operators/tt_linear_op.h

@@ -18,8 +18,9 @@ template <typename T, class Context, class Engine = DefaultEngine>
 class TTLinearOp final : public Operator<Context> {
  public:
   USE_OPERATOR_CONTEXT_FUNCTIONS;
-  TTLinearOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws),
+  template <class... Args>
+  explicit TTLinearOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
         inp_sizes_(this->template GetRepeatedArgument<int>("inp_sizes")),
         out_sizes_(this->template GetRepeatedArgument<int>("out_sizes")),
         tt_ranks_(this->template GetRepeatedArgument<int>("tt_ranks")),
@@ -176,8 +177,9 @@ template <typename T, class Context, class Engine = DefaultEngine>
 class TTLinearGradientOp : public Operator<Context> {
  public:
   USE_OPERATOR_CONTEXT_FUNCTIONS;
-  TTLinearGradientOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws) {}
+  template <class... Args>
+  explicit TTLinearGradientOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...) {}
   ~TTLinearGradientOp() {}
 
   bool RunOnDevice() override {

caffe2/operators/upsample_op.h

@@ -24,8 +24,11 @@ namespace caffe2 {
 template <typename T, class Context>
 class UpsampleBilinearOp final : public Operator<Context> {
  public:
-  UpsampleBilinearOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws), width_scale_(1), height_scale_(1) {
+  template <class... Args>
+  explicit UpsampleBilinearOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
+        width_scale_(1),
+        height_scale_(1) {
     if (HasArgument("width_scale")) {
       width_scale_ = static_cast<T>(
           this->template GetSingleArgument<float>("width_scale", 1));
@@ -49,8 +52,11 @@ class UpsampleBilinearOp final : public Operator<Context> {
 template <typename T, class Context>
 class UpsampleBilinearGradientOp final : public Operator<Context> {
  public:
-  UpsampleBilinearGradientOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws), width_scale_(1), height_scale_(1) {
+  template <class... Args>
+  explicit UpsampleBilinearGradientOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
+        width_scale_(1),
+        height_scale_(1) {
     width_scale_ = static_cast<T>(
         this->template GetSingleArgument<float>("width_scale", 1));
     height_scale_ = static_cast<T>(