From 36a559e49a3d5b832b1cffd47f2298f452616bb9 Mon Sep 17 00:00:00 2001 From: Michalis Spyrou Date: Tue, 20 Mar 2018 10:30:58 +0000 Subject: COMPMID-992 Implement CL RNN function Change-Id: I8dbada5fabedbb8523e433ba73d504bd15b81466 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/125787 Reviewed-by: Georgios Pinitas Tested-by: Jenkins --- arm_compute/runtime/CL/functions/CLRNNLayer.h | 85 +++++++++++++++++++++++++++ 1 file changed, 85 insertions(+) create mode 100644 arm_compute/runtime/CL/functions/CLRNNLayer.h (limited to 'arm_compute/runtime/CL/functions/CLRNNLayer.h') diff --git a/arm_compute/runtime/CL/functions/CLRNNLayer.h b/arm_compute/runtime/CL/functions/CLRNNLayer.h new file mode 100644 index 0000000000..9f239a9e64 --- /dev/null +++ b/arm_compute/runtime/CL/functions/CLRNNLayer.h @@ -0,0 +1,85 @@ +/* + * 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 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; + +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; +}; +} +#endif /* __ARM_COMPUTE_CLRNN_LAYER_H__ */ -- cgit v1.2.1