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