| /* |
| * Copyright (c) 2018 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_CLRNN_LAYER_H__ |
| #define __ARM_COMPUTE_CLRNN_LAYER_H__ |
| |
| #include "arm_compute/core/CL/kernels/CLActivationLayerKernel.h" |
| #include "arm_compute/core/CL/kernels/CLArithmeticAdditionKernel.h" |
| #include "arm_compute/core/CL/kernels/CLCopyKernel.h" |
| #include "arm_compute/runtime/CL/ICLSimpleFunction.h" |
| #include "arm_compute/runtime/CL/functions/CLFullyConnectedLayer.h" |
| #include "arm_compute/runtime/CL/functions/CLGEMM.h" |
| |
| namespace arm_compute |
| { |
| class ICLTensor; |
| |
| /** Basic function to run @ref CLRNNLayer */ |
| class CLRNNLayer : public IFunction |
| { |
| public: |
| /** Default constructor */ |
| CLRNNLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr); |
| /** 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 ICLTensor *input, const ICLTensor *weights, const ICLTensor *recurrent_weights, const ICLTensor *bias, ICLTensor *hidden_state, ICLTensor *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: |
| CLMemoryGroup _memory_group; |
| CLGEMM _gemm_state_f; |
| CLArithmeticAdditionKernel _add_kernel; |
| CLActivationLayerKernel _activation_kernel; |
| CLFullyConnectedLayer _fully_connected_kernel; |
| CLCopyKernel _copy_kernel; |
| CLTensor _fully_connected_out; |
| CLTensor _gemm_output; |
| CLTensor _add_output; |
| bool _is_prepared; |
| }; |
| } |
| #endif /* __ARM_COMPUTE_CLRNN_LAYER_H__ */ |