| #ifndef CAFFE_OPERATORS_REPLACE_NAN_OP_H_ | 
 | #define CAFFE_OPERATORS_REPLACE_NAN_OP_H_ | 
 |  | 
 | #include "caffe2/core/context.h" | 
 | #include "caffe2/core/logging.h" | 
 | #include "caffe2/core/operator.h" | 
 | #include "caffe2/utils/math.h" | 
 |  | 
 | namespace caffe2 { | 
 |  | 
 | template <class Context> | 
 | class ReplaceNaNOp final : public Operator<Context> { | 
 |  public: | 
 |   USE_OPERATOR_CONTEXT_FUNCTIONS; | 
 |   template <class... Args> | 
 |   explicit ReplaceNaNOp(Args&&... args) | 
 |       : Operator<Context>(std::forward<Args>(args)...) {} | 
 |  | 
 |   bool RunOnDevice() override { | 
 |     return DispatchHelper<TensorTypes<float, double>>::call(this, Input(0)); | 
 |   } | 
 |  | 
 |   template <typename T> | 
 |   void ReplaceNaN(const T& value, const int64_t size, const T* X, T* Y); | 
 |  | 
 |   template <typename T> | 
 |   bool DoRunWithType() { | 
 |     T value = this->template GetSingleArgument<T>("value", 0); | 
 |  | 
 |     auto& input = Input(0); | 
 |  | 
 |     auto* output = Output(0, input.sizes(), at::dtype<T>()); | 
 |  | 
 |     const T* input_data = input.template data<T>(); | 
 |     T* output_data = output->template mutable_data<T>(); | 
 |  | 
 |     ReplaceNaN<T>(value, input.numel(), input_data, output_data); | 
 |  | 
 |     return true; | 
 |   } | 
 | }; | 
 |  | 
 | } // namespace caffe2 | 
 |  | 
 | #endif // CAFFE_OPERATORS_REPLACE_NAN_OP_H_ |