| /* |
| * Copyright (c) 2018-2021 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_NERNNLAYER_H |
| #define ARM_COMPUTE_NERNNLAYER_H |
| |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/runtime/NEON/functions/NEActivationLayer.h" |
| #include "arm_compute/runtime/NEON/functions/NEArithmeticAddition.h" |
| #include "arm_compute/runtime/NEON/functions/NECopy.h" |
| #include "arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h" |
| #include "arm_compute/runtime/NEON/functions/NEGEMM.h" |
| |
| namespace arm_compute |
| { |
| // Forward declarations |
| class ITensor; |
| |
| /** Basic function to run @ref NERNNLayer */ |
| class NERNNLayer : public IFunction |
| { |
| public: |
| /** Default constructor */ |
| NERNNLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr); |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NERNNLayer(const NERNNLayer &) = delete; |
| /** Prevent instances of this class from being moved (As this class contains pointers) */ |
| NERNNLayer(NERNNLayer &&) = delete; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NERNNLayer &operator=(const NERNNLayer &) = delete; |
| /** Prevent instances of this class from being moved (As this class contains pointers) */ |
| NERNNLayer &operator=(NERNNLayer &&) = delete; |
| /** Default destructor */ |
| ~NERNNLayer(); |
| /** Initialize the function |
| * |
| * @param[in] input Input is a 2-D tensor of shape [input_size, batch_size]. Data types supported: F16/F32 |
| * @param[in] weights Weights tensor of shape [input_size, num_units] that multiplies the input. Data types supported: Same as @p input |
| * @param[in] recurrent_weights Weights tensor of shape [num_units, num_units] that multiplies the current 'state'. Data types supported: Same as @p input |
| * @param[in] bias Bias vector of shape [num_units]. Data types supported: Same as @p input |
| * @param[out] output Output tensor of shape [num_units, batch_size]. Data types supported: Same as @p input |
| * @param[in,out] hidden_state Output tensor of shape [num_units, batch_size]. Data types supported: Same as @p input |
| * @param[in] info Activation layer parameter. |
| */ |
| void configure(const ITensor *input, const ITensor *weights, const ITensor *recurrent_weights, const ITensor *bias, ITensor *hidden_state, ITensor *output, ActivationLayerInfo &info); |
| /** Initialize the function |
| * |
| * @param[in] input Input is a 2-D tensor of shape [input_size, batch_size]. Data types supported: F16/F32 |
| * @param[in] weights Weights tensor of shape [input_size, num_units] that multiplies the input. Data types supported: Same as @p input |
| * @param[in] recurrent_weights Weights tensor of shape [num_units, num_units] that multiplies the current 'state'. Data types supported: Same as @p input |
| * @param[in] bias Bias vector of shape [num_units]. Data types supported: Same as @p input |
| * @param[in] output Output tensor of shape [num_units, batch_size]. Data types supported: Same as @p input |
| * @param[in] hidden_state Output tensor of shape [num_units, batch_size]. Data types supported: Same as @p input |
| * @param[in] info Activation layer parameter. |
| * |
| * @return a status |
| */ |
| static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *recurrent_weights, const ITensorInfo *bias, const ITensorInfo *hidden_state, const ITensorInfo *output, |
| const ActivationLayerInfo &info); |
| |
| // Inherited methods overridden: |
| void run() override; |
| void prepare() override; |
| |
| private: |
| MemoryGroup _memory_group; |
| NEGEMM _gemm_state_f; |
| NEArithmeticAddition _add_f; |
| NEActivationLayer _activation; |
| NEFullyConnectedLayer _fully_connected; |
| NECopy _copy_f; |
| Tensor _fully_connected_out; |
| Tensor _gemm_output; |
| Tensor _add_output; |
| bool _is_prepared; |
| }; |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_NERNNLAYER_H */ |