114 lines
4.6 KiB
C++
114 lines
4.6 KiB
C++
/*
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* Copyright (c) 2018-2019 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_GRAPH_DEPTHWISE_CONVOLUTION_LAYER_NODE_H
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#define ARM_COMPUTE_GRAPH_DEPTHWISE_CONVOLUTION_LAYER_NODE_H
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#include "arm_compute/graph/INode.h"
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namespace arm_compute
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{
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namespace graph
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{
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/** Depthwise Convolution Layer node */
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class DepthwiseConvolutionLayerNode final : public INode
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{
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public:
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/** Constructor
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*
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* @param[in] info Convolution layer attributes
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* @param[in] depth_multiplier (Optional) Depth multiplier parameter.
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* @param[in] method (Optional) Depthwise convolution method to use
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* @param[in] out_quant_info (Optional) Output quantization info
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*/
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DepthwiseConvolutionLayerNode(PadStrideInfo info,
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int depth_multiplier = 1,
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DepthwiseConvolutionMethod method = DepthwiseConvolutionMethod::Default,
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QuantizationInfo out_quant_info = QuantizationInfo());
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/** Sets the depthwise convolution method to use
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*
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* @param[in] method Depthwise convolution method to use
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*/
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void set_depthwise_convolution_method(DepthwiseConvolutionMethod method);
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/** Depthwise convolution layer method accessor
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*
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* @note This is an indication on which depthwise implementation to use,
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* if it fails to be created the generic approach will be used
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*
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* @return Depthwise convolution layer method do be used by the node
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*/
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DepthwiseConvolutionMethod depthwise_convolution_method() const;
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/** Depth multiplier accessor
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*
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* @return Depth multiplier
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*/
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int depth_multiplier() const;
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/** Convolution metadata accessor
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*
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* @return Convolution information
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*/
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PadStrideInfo convolution_info() const;
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/** Returns fused activation
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*
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* @return Fused activation
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*/
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ActivationLayerInfo fused_activation() const;
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/** Sets fused activation
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*
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* @param[in] fused_activation Fused activation to set
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*/
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void set_fused_activation(ActivationLayerInfo fused_activation);
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/** Computes depthwise convolution output descriptor
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*
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* @param[in] input_descriptor Input descriptor
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* @param[in] weights_descriptor Weights descriptor
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* @param[in] info Convolution operation attributes
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* @param[in] depth_multiplier (Optional) Depth multiplier parameter.
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*
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* @return Output descriptor
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*/
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static TensorDescriptor compute_output_descriptor(const TensorDescriptor &input_descriptor,
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const TensorDescriptor &weights_descriptor,
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const PadStrideInfo &info,
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int depth_multiplier = 1);
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// Inherited overridden methods:
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NodeType type() const override;
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bool forward_descriptors() override;
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TensorDescriptor configure_output(size_t idx) const override;
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void accept(INodeVisitor &v) override;
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public:
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static constexpr NodeType node_type = NodeType::DepthwiseConvolutionLayer;
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private:
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PadStrideInfo _info;
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int _depth_multiplier;
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DepthwiseConvolutionMethod _method;
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QuantizationInfo _out_quant_info;
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ActivationLayerInfo _fused_activation;
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};
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} // namespace graph
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_GRAPH_DEPTHWISE_CONVOLUTION_LAYER_NODE_H */
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