99 lines
5.3 KiB
C++
99 lines
5.3 KiB
C++
/*
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* Copyright (c) 2018-2020 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_NERNNLAYER_H
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#define ARM_COMPUTE_NERNNLAYER_H
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#include "arm_compute/core/Types.h"
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#include "arm_compute/runtime/NEON/functions/NEActivationLayer.h"
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#include "arm_compute/runtime/NEON/functions/NEArithmeticAddition.h"
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#include "arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h"
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#include "arm_compute/runtime/NEON/functions/NEGEMM.h"
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namespace arm_compute
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{
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// Forward declarations
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class ITensor;
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class NECopyKernel;
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/** Basic function to run @ref NERNNLayer */
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class NERNNLayer : public IFunction
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{
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public:
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/** Default constructor */
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NERNNLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NERNNLayer(const NERNNLayer &) = delete;
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/** Prevent instances of this class from being moved (As this class contains pointers) */
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NERNNLayer(NERNNLayer &&) = delete;
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NERNNLayer &operator=(const NERNNLayer &) = delete;
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/** Prevent instances of this class from being moved (As this class contains pointers) */
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NERNNLayer &operator=(NERNNLayer &&) = delete;
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/** Default destructor */
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~NERNNLayer();
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/** Initialize the function
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*
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* @param[in] input Input is a 2-D tensor of shape [input_size, batch_size]. Data types supported: F16/F32
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* @param[in] weights Weights tensor of shape [input_size, num_units] that multiplies the input. Data types supported: Same as @p input
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* @param[in] recurrent_weights Weights tensor of shape [num_units, num_units] that multiplies the current 'state'. Data types supported: Same as @p input
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* @param[in] bias Bias vector of shape [num_units]. Data types supported: Same as @p input
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* @param[out] output Output tensor of shape [num_units, batch_size]. Data types supported: Same as @p input
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* @param[in,out] hidden_state Output tensor of shape [num_units, batch_size]. Data types supported: Same as @p input
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* @param[in] info Activation layer parameter.
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*/
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void configure(const ITensor *input, const ITensor *weights, const ITensor *recurrent_weights, const ITensor *bias, ITensor *hidden_state, ITensor *output, ActivationLayerInfo &info);
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/** Initialize the function
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*
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* @param[in] input Input is a 2-D tensor of shape [input_size, batch_size]. Data types supported: F16/F32
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* @param[in] weights Weights tensor of shape [input_size, num_units] that multiplies the input. Data types supported: Same as @p input
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* @param[in] recurrent_weights Weights tensor of shape [num_units, num_units] that multiplies the current 'state'. Data types supported: Same as @p input
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* @param[in] bias Bias vector of shape [num_units]. Data types supported: Same as @p input
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* @param[in] output Output tensor of shape [num_units, batch_size]. Data types supported: Same as @p input
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* @param[in] hidden_state Output tensor of shape [num_units, batch_size]. Data types supported: Same as @p input
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* @param[in] info Activation layer parameter.
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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 *recurrent_weights, const ITensorInfo *bias, const ITensorInfo *hidden_state, const ITensorInfo *output,
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const ActivationLayerInfo &info);
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// Inherited methods overridden:
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void run() override;
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void prepare() override;
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private:
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MemoryGroup _memory_group;
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NEGEMM _gemm_state_f;
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NEArithmeticAddition _add_f;
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NEActivationLayer _activation;
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NEFullyConnectedLayer _fully_connected;
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std::unique_ptr<NECopyKernel> _copy_kernel;
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Tensor _fully_connected_out;
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Tensor _gemm_output;
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Tensor _add_output;
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bool _is_prepared;
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};
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_NERNNLAYER_H */
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