hmz007
36ed224bac
Signed-off-by: hmz007 <hmz007@gmail.com> Change-Id: Ib87fdbe7a0be7dc961af3500fe9ea4589a127f9f
121 lines
6.7 KiB
C++
121 lines
6.7 KiB
C++
/*
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* Copyright (c) 2022 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_CLINDIRECTCONVOLUTIONLAYER_H
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#define ARM_COMPUTE_CLINDIRECTCONVOLUTIONLAYER_H
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#include "arm_compute/core/Types.h"
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#include "arm_compute/runtime/IFunction.h"
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#include <memory>
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namespace arm_compute
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{
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class CLCompileContext;
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class ICLTensor;
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class ITensorInfo;
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/** Basic function to run the indirect convolution function
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*/
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class CLIndirectConvolutionLayer : public IFunction
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{
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public:
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/** Constructor */
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CLIndirectConvolutionLayer();
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/** Destructor */
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~CLIndirectConvolutionLayer();
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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CLIndirectConvolutionLayer(const CLIndirectConvolutionLayer &) = delete;
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/** Default move constructor */
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CLIndirectConvolutionLayer(CLIndirectConvolutionLayer &&);
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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CLIndirectConvolutionLayer &operator=(const CLIndirectConvolutionLayer &) = delete;
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/** Default move assignment operator */
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CLIndirectConvolutionLayer &operator=(CLIndirectConvolutionLayer &&);
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/** Set the input and output tensors.
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*
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* Valid data layouts:
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* - NHWC
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*
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* Valid data type configurations:
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* |src0 |src1 |src2 |dst |
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* |:--------------|:--------------|:------|:--------------|
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* |F16 |F16 |F16 |F16 |
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* |F32 |F32 |F32 |F32 |
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*
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* @param[in] input Source tensor. 3 lower dimensions represent a single input,
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* while every optional dimension from 4 and above represent a batch of inputs.
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* Data types supported: F16/F32.
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* @param[in] weights Weights tensor. Weights are 4D tensor. Data type supported:Same as @p input.
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* @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM].
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* Data type supported: Should match @p input data type.
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* @param[out] output Destination tensor. 3 lower dimensions represent a single output, while the rest represent batch of outputs.
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* Data types supported: Same as @p input.
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* @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
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*/
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void configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, const ActivationLayerInfo &act_info = ActivationLayerInfo());
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/** Set the input and output tensors.
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*
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* @param[in] compile_context The compile context to be used.
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* @param[in] input Source tensor. 3 lower dimensions represent a single input,
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* while every optional dimension from 4 and above represent a batch of inputs.
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* Data types supported: F16/F32.
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* @param[in] weights Weights tensor. Weights are 4D tensor with dimensions. Data type supported:Same as @p input.
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* @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM].
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* Data type supported: Should match @p input data type.
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* @param[out] output Destination tensor. 3 lower dimensions represent a single output, while the rest represent batch of outputs.
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* Data types supported: Same as @p input.
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* @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
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*/
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void configure(const CLCompileContext &compile_context, ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info,
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const ActivationLayerInfo &act_info = ActivationLayerInfo());
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/** Static function to check if given info will lead to a valid configuration of @ref CLIndirectConvolutionLayer
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*
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* @param[in] input Source tensor. 3 lower dimensions represent a single input,
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* while every optional dimension from 4 and above represent a batch of inputs.
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* Data types supported: F16/F32.
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* @param[in] weights Weights tensor. Weights are 4D tensor with dimensions. Data type supported:Same as @p input.
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* @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM].
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* Data type supported: Should match @p input data type.
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* @param[in] output Destination tensor. 3 lower dimensions represent a single output, while the rest represent batch of outputs.
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* Data types supported: Same as @p input.
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* @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
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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 *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info,
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const ActivationLayerInfo &act_info = ActivationLayerInfo());
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// Inherited methods overridden:
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void run() override;
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private:
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struct Impl;
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std::unique_ptr<Impl> _impl;
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};
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}
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#endif /* ARM_COMPUTE_CLINDIRECTCONVOLUTIONLAYER_H */
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