| #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_ |