60 lines
2.7 KiB
C++
60 lines
2.7 KiB
C++
/*
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* Copyright (c) 2017-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_NEFLATTENLAYER_H
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#define ARM_COMPUTE_NEFLATTENLAYER_H
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#include "arm_compute/core/Types.h"
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#include "arm_compute/runtime/NEON/INESimpleFunctionNoBorder.h"
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namespace arm_compute
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{
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class ITensor;
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class ITensorInfo;
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/** Basic function to execute flatten layer kernel. */
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class NEFlattenLayer : public INESimpleFunctionNoBorder
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{
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public:
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/** Initialise the kernel's input and output.
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*
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* @param[in] input First input tensor to flatten with at least 3 dimensions. The dimensions over the third will be interpreted as batches. Data types supported: All
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* @param[out] output Output tensor with shape [w*h*d, input_batches] where:
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* w = width input tensor, h = height input tensor and d = depth input tensor. Data type supported: same as @p input
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*/
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void configure(const ITensor *input, ITensor *output);
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/** Static function to check if given info will lead to a valid configuration of @ref NEFlattenLayer
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*
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* @param[in] input First input tensor to flatten with at least 3 dimensions.
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* The dimensions above the third will be interpreted as batches. Data types supported: All
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* @param[out] output Output tensor with shape [w*h*d, input_batches] where:
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* w = width input tensor, h = height input tensor and d = depth input tensor. Data type supported: same as @p input
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*
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* @return a status
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*/
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static Status validate(const ITensorInfo *input, const ITensorInfo *output);
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};
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_NEFLATTENLAYER_H */ |