109 lines
6.2 KiB
C++
109 lines
6.2 KiB
C++
/*
|
|
* 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_CLRNN_LAYER_H
|
|
#define ARM_COMPUTE_CLRNN_LAYER_H
|
|
|
|
#include "arm_compute/runtime/CL/ICLSimpleFunction.h"
|
|
#include "arm_compute/runtime/CL/functions/CLActivationLayer.h"
|
|
#include "arm_compute/runtime/CL/functions/CLElementwiseOperations.h"
|
|
#include "arm_compute/runtime/CL/functions/CLFullyConnectedLayer.h"
|
|
#include "arm_compute/runtime/CL/functions/CLGEMM.h"
|
|
|
|
#include <memory>
|
|
|
|
namespace arm_compute
|
|
{
|
|
class CLCopyKernel;
|
|
class ICLTensor;
|
|
|
|
/** Basic function to run @ref CLRNNLayer */
|
|
class CLRNNLayer : public IFunction
|
|
{
|
|
public:
|
|
/** Default constructor */
|
|
CLRNNLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
|
|
/** Prevent instances of this class from being copied */
|
|
CLRNNLayer(const CLRNNLayer &) = delete;
|
|
/** Prevent instances of this class from being copied */
|
|
CLRNNLayer &operator=(const CLRNNLayer &) = delete;
|
|
/** Default destructor */
|
|
~CLRNNLayer();
|
|
/** 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] compile_context The compile context to be used.
|
|
* @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 CLCompileContext &compile_context, 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:
|
|
MemoryGroup _memory_group;
|
|
CLGEMM _gemm_state_f;
|
|
CLArithmeticAddition _add_kernel;
|
|
CLActivationLayer _activation;
|
|
CLFullyConnectedLayer _fully_connected_kernel;
|
|
std::unique_ptr<CLCopyKernel> _copy_kernel;
|
|
CLTensor _fully_connected_out;
|
|
CLTensor _gemm_output;
|
|
CLTensor _add_output;
|
|
bool _is_prepared;
|
|
};
|
|
}
|
|
#endif /* ARM_COMPUTE_CLRNN_LAYER_H */
|