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/*
* Copyright (c) 2018-2020 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef ARM_COMPUTE_GRAPH_FULLY_CONNECTED_LAYER_NODE_H
#define ARM_COMPUTE_GRAPH_FULLY_CONNECTED_LAYER_NODE_H
#include "arm_compute/graph/INode.h"
namespace arm_compute
{
namespace graph
{
/** Fully Connected Layer node */
class FullyConnectedLayerNode final : public INode
{
public:
/** Constructor
*
* @param[in] num_outputs Number of neurons in the layer
* @param[in] out_quant_info (Optional) Output quantization info
* @param[in] fc_info (Optional) Additional information about the fully connected layer
*/
FullyConnectedLayerNode(unsigned int num_outputs,
QuantizationInfo out_quant_info = QuantizationInfo(),
FullyConnectedLayerInfo fc_info = FullyConnectedLayerInfo());
/** Sets fused activation
*
* @param[in] fused_activation Fused activation to set
*/
void set_fused_activation(ActivationLayerInfo fused_activation);
/** Computes weights descriptor
*
* @warning Works for inputs with 1D batch space
*
* @param[in] input_descriptor Input descriptor
* @param[in] num_outputs Number of output neurons
* @param[in] fc_info (Optional) Additional information about the fully connected layer
* @param[in] weights_quant_info (Optional) Weights quantization info
*
* @return Weights descriptor
*/
static TensorDescriptor compute_weights_descriptor(const TensorDescriptor &input_descriptor,
unsigned int num_outputs,
FullyConnectedLayerInfo fc_info = FullyConnectedLayerInfo(),
const QuantizationInfo &weights_quant_info = QuantizationInfo());
/** Computes fully connected layer output descriptor
*
* @warning Works for inputs with 1D batch space
*
* @param[in] input_descriptor Input descriptor
* @param[in] num_outputs Number of output neurons
* @param[in] out_quant_info (Optional) Weights quantization info
*
* @return Output descriptor
*/
static TensorDescriptor compute_output_descriptor(const TensorDescriptor &input_descriptor,
unsigned int num_outputs,
const QuantizationInfo &out_quant_info = QuantizationInfo());
/** Fully connected layer addition information
*
* @return Additional information about the fully connected layer
*/
FullyConnectedLayerInfo info() const;
// Inherited overridden methods:
NodeType type() const override;
bool forward_descriptors() override;
TensorDescriptor configure_output(size_t idx) const override;
void accept(INodeVisitor &v) override;
static constexpr NodeType node_type = NodeType::FullyConnectedLayer;
private:
unsigned int _num_outputs;
QuantizationInfo _out_quant_info;
FullyConnectedLayerInfo _info;
};
} // namespace graph
} // namespace arm_compute
#endif /* ARM_COMPUTE_GRAPH_FULLY_CONNECTED_LAYER_NODE_H */
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