refactor caffe2 operator constructors - 9/9 (#17090)

Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/17090

clangr codemod

Reviewed By: ezyang

Differential Revision: D14078550

fbshipit-source-id: 68e6de4298e55ce83039b7806c1a275c4d6593c8

7 files changed, 46 insertions, 33 deletions

diff --git a/caffe2/operators/utility_ops.h b/caffe2/operators/utility_ops.h
index 469e97a015..a77ee9a2a2 100644
--- a/caffe2/operators/utility_ops.h
+++ b/caffe2/operators/utility_ops.h
@@ -20,8 +20,9 @@ template <class Context>
 class NanCheckOp final : public Operator<Context> {
  public:
   USE_OPERATOR_CONTEXT_FUNCTIONS;
-  NanCheckOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws) {}
+  template <class... Args>
+  explicit NanCheckOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...) {}
 
   bool RunOnDevice() override;
 
@@ -46,8 +47,9 @@ class WallClockTimeOp final : public Operator<Context> {
  public:
   USE_OPERATOR_CONTEXT_FUNCTIONS;
 
-  WallClockTimeOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws) {}
+  template <class... Args>
+  explicit WallClockTimeOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...) {}
 
   bool RunOnDevice() override {
     int64_t nanoseconds = static_cast<long int>(
@@ -70,7 +72,7 @@ class PrintOp final : public Operator<Context> {
  public:
   USE_OPERATOR_CONTEXT_FUNCTIONS;
   USE_DISPATCH_HELPER;
-  PrintOp(const OperatorDef& operator_def, Workspace* ws)
+  explicit PrintOp(const OperatorDef& operator_def, Workspace* ws)
       : Operator<Context>(operator_def, ws),
         tensor_printer_(
             operator_def.input(0),
@@ -395,8 +397,9 @@ class WeightedSumGradientOp : public Operator<Context> {
  public:
   USE_OPERATOR_CONTEXT_FUNCTIONS;
 
-  WeightedSumGradientOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws),
+  template <class... Args>
+  explicit WeightedSumGradientOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
         grad_on_w_(this->template GetSingleArgument<bool>("grad_on_w", false)) {
   }
 
@@ -597,8 +600,9 @@ class ScatterAssignOp : public Operator<Context> {
   USE_OPERATOR_CONTEXT_FUNCTIONS;
   virtual ~ScatterAssignOp() {}
 
-  ScatterAssignOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws),
+  template <class... Args>
+  explicit ScatterAssignOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
         runners_({{{TensorProto_DataType_INT32, TensorProto_DataType_FLOAT},
                    &ScatterAssignOp::DoRun<int32_t, float>},
                   {{TensorProto_DataType_INT32, TensorProto_DataType_FLOAT16},
@@ -871,8 +875,9 @@ template <class Context>
 class LengthsToWeightsOp : public Operator<Context> {
  public:
   USE_OPERATOR_CONTEXT_FUNCTIONS;
-  LengthsToWeightsOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws),
+  template <class... Args>
+  explicit LengthsToWeightsOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
         power_(this->template GetSingleArgument<float>("power", 0.5)) {}
 
   bool RunOnDevice() override {
@@ -1149,8 +1154,9 @@ class LengthsGatherOp : public Operator<Context> {
 template <typename T, class Context>
 class AccumulateHistogramOp : public Operator<Context> {
  public:
-  AccumulateHistogramOp(const OperatorDef& def, Workspace* ws)
-      : Operator<Context>(def, ws),
+  template <class... Args>
+  explicit AccumulateHistogramOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
         lower_bound_(
             this->template GetSingleArgument<float>("lower_bound", 0.0)),
         upper_bound_(
@@ -1288,8 +1294,9 @@ class RangeOp : public Operator<Context> {
 
 class ThrowExceptionOp : public Operator<CPUContext> {
  public:
-  ThrowExceptionOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<CPUContext>(operator_def, ws),
+  template <class... Args>
+  explicit ThrowExceptionOp(Args&&... args)
+      : Operator<CPUContext>(std::forward<Args>(args)...),
         message_(GetSingleArgument<std::string>(
             "message",
             "Exception from ThrowExceptionOp")) {}
@@ -1304,8 +1311,9 @@ class ThrowExceptionOp : public Operator<CPUContext> {
 
 class ThrowChildThreadExceptionOp : public Operator<CPUContext> {
  public:
-  ThrowChildThreadExceptionOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<CPUContext>(operator_def, ws),
+  template <class... Args>
+  explicit ThrowChildThreadExceptionOp(Args&&... args)
+      : Operator<CPUContext>(std::forward<Args>(args)...),
         message_(GetSingleArgument<std::string>(
             "message",
             "Exception from ThrowChildThreadExceptionOp")) {}
@@ -1323,8 +1331,9 @@ class ThrowChildThreadExceptionOp : public Operator<CPUContext> {
 
 class LogFatalOp : public Operator<CPUContext> {
  public:
-  LogFatalOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<CPUContext>(operator_def, ws),
+  template <class... Args>
+  explicit LogFatalOp(Args&&... args)
+      : Operator<CPUContext>(std::forward<Args>(args)...),
         message_(GetSingleArgument<std::string>(
             "message",
             "Logging from LogFatalOp")) {}
@@ -1340,8 +1349,9 @@ class LogFatalOp : public Operator<CPUContext> {
 
 class FailOp : public Operator<CPUContext> {
  public:
-  FailOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<CPUContext>(operator_def, ws) {}
+  template <class... Args>
+  explicit FailOp(Args&&... args)
+      : Operator<CPUContext>(std::forward<Args>(args)...) {}
 
   bool RunOnDevice() override {
     return false;
diff --git a/caffe2/operators/utility_ops_cudnn.cc b/caffe2/operators/utility_ops_cudnn.cc
index 7fe4503b2b..c04ad3292c 100644
--- a/caffe2/operators/utility_ops_cudnn.cc
+++ b/caffe2/operators/utility_ops_cudnn.cc
@@ -12,8 +12,10 @@ class CuDNNWeightedSumOp : public Operator<CUDAContext> {
  public:
   USE_OPERATOR_FUNCTIONS(CUDAContext);
 
-  CuDNNWeightedSumOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<CUDAContext>(operator_def, ws), cudnn_wrapper_(&context_) {
+  template <class... Args>
+  explicit CuDNNWeightedSumOp(Args&&... args)
+      : Operator<CUDAContext>(std::forward<Args>(args)...),
+        cudnn_wrapper_(&context_) {
     CUDNN_ENFORCE(cudnnCreateTensorDescriptor(&data_desc_));
     CUDNN_ENFORCE(cudnnCreateOpTensorDescriptor(&add_desc_));
     // Both float and at::Half require opTensorCompType to be CUDNN_DATA_FLOAT.
diff --git a/caffe2/operators/variable_length_sequence_padding.h b/caffe2/operators/variable_length_sequence_padding.h
index 9e4c9da83e..f86964d639 100644
--- a/caffe2/operators/variable_length_sequence_padding.h
+++ b/caffe2/operators/variable_length_sequence_padding.h
@@ -29,10 +29,9 @@ void VariableLengthSequencePadding(
 template <typename T, typename Context>
 class VariableLengthSequencePaddingOp : public Operator<Context> {
  public:
-  VariableLengthSequencePaddingOp(
-      const OperatorDef& operator_def,
-      Workspace* ws)
-      : Operator<Context>(operator_def, ws) {}
+  template <class... Args>
+  explicit VariableLengthSequencePaddingOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...) {}
   USE_OPERATOR_CONTEXT_FUNCTIONS;
 
   bool RunOnDevice() override {
diff --git a/caffe2/operators/weighted_multi_sampling_op.h b/caffe2/operators/weighted_multi_sampling_op.h
index 968c518ca0..1de0fd1137 100644
--- a/caffe2/operators/weighted_multi_sampling_op.h
+++ b/caffe2/operators/weighted_multi_sampling_op.h
@@ -9,8 +9,9 @@ class WeightedMultiSamplingOp : public Operator<Context> {
  public:
   USE_OPERATOR_CONTEXT_FUNCTIONS;
 
-  WeightedMultiSamplingOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws),
+  template <class... Args>
+  explicit WeightedMultiSamplingOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...),
         num_samples_(
             this->template GetSingleArgument<int64_t>("num_samples", 0)) {
     CAFFE_ENFORCE_GE(num_samples_, 0);
diff --git a/caffe2/operators/weighted_sample_op.h b/caffe2/operators/weighted_sample_op.h
index 1474a9aee2..361d20ef5b 100644
--- a/caffe2/operators/weighted_sample_op.h
+++ b/caffe2/operators/weighted_sample_op.h
@@ -13,8 +13,9 @@ namespace caffe2 {
 template <typename T, class Context>
 class WeightedSampleOp final : public Operator<Context> {
  public:
-  WeightedSampleOp(const OperatorDef& operator_def, Workspace* ws)
-      : Operator<Context>(operator_def, ws) {}
+  template <class... Args>
+  explicit WeightedSampleOp(Args&&... args)
+      : Operator<Context>(std::forward<Args>(args)...) {}
 
   USE_OPERATOR_CONTEXT_FUNCTIONS;
 
diff --git a/caffe2/operators/while_op.h b/caffe2/operators/while_op.h
index 66869ddfc4..445e4e4983 100644
--- a/caffe2/operators/while_op.h
+++ b/caffe2/operators/while_op.h
@@ -10,7 +10,7 @@ namespace caffe2 {
 template <class Context>
 class WhileOp final : public Operator<Context> {
  public:
-  WhileOp(const OperatorDef& operator_def, Workspace* ws)
+  explicit WhileOp(const OperatorDef& operator_def, Workspace* ws)
       : Operator<Context>(operator_def, ws) {
     CAFFE_ENFORCE(
         this->template HasSingleArgumentOfType<NetDef>("loop_net"),
diff --git a/caffe2/operators/workspace_ops.cc b/caffe2/operators/workspace_ops.cc
index e3345f0152..488c7f408b 100644
--- a/caffe2/operators/workspace_ops.cc
+++ b/caffe2/operators/workspace_ops.cc
@@ -6,7 +6,7 @@ namespace {
 
 class GetAllBlobNamesOp final : public Operator<CPUContext> {
  public:
-  GetAllBlobNamesOp(const OperatorDef& operator_def, Workspace* ws)
+  explicit GetAllBlobNamesOp(const OperatorDef& operator_def, Workspace* ws)
       : Operator<CPUContext>(operator_def, ws),
         include_shared_(GetSingleArgument<int>("include_shared", true)),
         ws_(ws) {}