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- /**
- * Copyright 2019-2020 Huawei Technologies Co., Ltd
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
- /*!
- * \file spectral_ops.h
- * \brief
- */
- #ifndef OPS_BUILT_IN_OP_PROTO_INC_SPECTRAL_OPS_H_
- #define OPS_BUILT_IN_OP_PROTO_INC_SPECTRAL_OPS_H_
-
- #include "graph/operator.h"
- #include "graph/operator_reg.h"
-
- namespace ge {
-
- /**
- *@brief Real-valued fast Fourier transform . \n
-
- *@par Inputs:
- *@li input: A float32 tensor.
- *@li fft_length: An int32 tensor of shape [1]. The FFT length . \n
-
- *@par Outputs:
- *@li y: A complex64 tensor of the same rank as `input`. The inner-most
- dimension of `input` is replaced with the `fft_length / 2 + 1` unique
- frequency components of its 1D Fourier transform . \n
-
- *@par Third-party framework compatibility
- * Compatible with TensorFlow RFFT operator.
- */
- REG_OP(RFFT)
- .INPUT(input, TensorType({DT_FLOAT}))
- .INPUT(fft_length, TensorType({DT_INT32}))
- .OUTPUT(y, TensorType({DT_COMPLEX64}))
- .OP_END_FACTORY_REG(RFFT)
-
- } // namespace ge
-
- #endif // OPS_BUILT_IN_OP_PROTO_INC_SPECTRAL_OPS_H_
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