| /*! |
| * Copyright (c) 2015 by Contributors |
| * \file fft-inl.h |
| * \brief |
| * \author Chen Zhu |
| */ |
| #include "./fft-inl.h" |
| |
| namespace mxnet { |
| namespace op { |
| template<> |
| Operator *CreateOp<cpu>(FFTParam param, int dtype) { |
| LOG(FATAL) << "fft is only available for GPU."; |
| return NULL; |
| } |
| |
| Operator *FFTProp::CreateOperatorEx(Context ctx, std::vector<TShape> *in_shape, |
| std::vector<int> *in_type) const { |
| std::vector<TShape> out_shape, aux_shape; |
| std::vector<int> out_type, aux_type; |
| CHECK(InferType(in_type, &out_type, &aux_type)); |
| CHECK(InferShape(in_shape, &out_shape, &aux_shape)); |
| DO_BIND_DISPATCH(CreateOp, param_, (*in_type)[0]); |
| } |
| |
| DMLC_REGISTER_PARAMETER(FFTParam); |
| |
| MXNET_REGISTER_OP_PROPERTY(_contrib_fft, FFTProp) |
| .describe(R"code(Apply 1D FFT to input" |
| |
| .. note:: `fft` is only available on GPU. |
| |
| Currently accept 2 input data shapes: (N, d) or (N1, N2, N3, d), data can only be real numbers. |
| The output data has shape: (N, 2*d) or (N1, N2, N3, 2*d). The format is: [real0, imag0, real1, imag1, ...]. |
| |
| Example:: |
| data = np.random.normal(0,1,(3,4)) |
| out = mx.contrib.ndarray.fft(data = mx.nd.array(data,ctx = mx.gpu(0))) |
| |
| )code" ADD_FILELINE) |
| .add_argument("data", "NDArray-or-Symbol", "Input data to the FFTOp.") |
| .add_arguments(FFTParam::__FIELDS__()); |
| } // namespace op |
| } // namespace mxnet |