|  | #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_ |