diff options
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLLSTMLayer.h')
| -rw-r--r-- | arm_compute/runtime/CL/functions/CLLSTMLayer.h | 295 |
1 files changed, 180 insertions, 115 deletions
diff --git a/arm_compute/runtime/CL/functions/CLLSTMLayer.h b/arm_compute/runtime/CL/functions/CLLSTMLayer.h index a29513aaae..fe494991af 100644 --- a/arm_compute/runtime/CL/functions/CLLSTMLayer.h +++ b/arm_compute/runtime/CL/functions/CLLSTMLayer.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018-2020 ARM Limited. + * Copyright (c) 2018-2021 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -24,30 +24,35 @@ #ifndef ARM_COMPUTE_CLLSTMLAYER_H #define ARM_COMPUTE_CLLSTMLAYER_H -#include "arm_compute/runtime/IFunction.h" - -#include "arm_compute/core/CL/kernels/CLActivationLayerKernel.h" -#include "arm_compute/core/CL/kernels/CLCopyKernel.h" -#include "arm_compute/core/CL/kernels/CLElementwiseOperationKernel.h" -#include "arm_compute/core/CL/kernels/CLMemsetKernel.h" -#include "arm_compute/core/CL/kernels/CLPixelWiseMultiplicationKernel.h" -#include "arm_compute/core/CL/kernels/CLWidthConcatenate2TensorsKernel.h" #include "arm_compute/core/Types.h" #include "arm_compute/runtime/CL/CLTensor.h" +#include "arm_compute/runtime/CL/functions/CLActivationLayer.h" #include "arm_compute/runtime/CL/functions/CLConcatenateLayer.h" +#include "arm_compute/runtime/CL/functions/CLCopy.h" #include "arm_compute/runtime/CL/functions/CLElementwiseOperations.h" +#include "arm_compute/runtime/CL/functions/CLFill.h" #include "arm_compute/runtime/CL/functions/CLFullyConnectedLayer.h" #include "arm_compute/runtime/CL/functions/CLGEMM.h" #include "arm_compute/runtime/CL/functions/CLMeanStdDevNormalizationLayer.h" +#include "arm_compute/runtime/CL/functions/CLPixelWiseMultiplication.h" +#include "arm_compute/runtime/common/LSTMParams.h" +#include "arm_compute/runtime/IFunction.h" #include "arm_compute/runtime/IMemoryManager.h" #include "arm_compute/runtime/MemoryGroup.h" -#include "arm_compute/runtime/common/LSTMParams.h" #include <memory> namespace arm_compute { +class CLCompileContext; class ICLTensor; +namespace opencl +{ +namespace kernels +{ +class ClTransposeKernel; +} +} // namespace opencl /** This function performs a single time step in a Long Short-Term Memory (LSTM) layer. * @@ -57,8 +62,27 @@ class CLLSTMLayer : public IFunction public: /** Default constructor */ CLLSTMLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr); + /** Prevent instances of this class from being copied */ + CLLSTMLayer(const CLLSTMLayer &) = delete; + /** Prevent instances of this class from being copied */ + CLLSTMLayer &operator=(const CLLSTMLayer &) = delete; + /** Prevent instances of this class to be moved */ + CLLSTMLayer(CLLSTMLayer &&) = delete; + /** Prevent instances of this class to be moved */ + CLLSTMLayer &operator=(CLLSTMLayer &&) = delete; + /** Default destructor */ + ~CLLSTMLayer(); /** Initialize function's tensors. * + * Valid data layouts: + * - All + * + * Valid data type configurations: + * |src0 - src13 | dst0 - dst3 | + * |:------------|:------------| + * |F16 |F16 | + * |F32 |F32 | + * * @param[in] input Source tensor. Input is a 2D tensor with dimensions [input_size, batch_size]. Data types supported: F16/F32. * @param[in] input_to_forget_weights 2D weights tensor with dimensions [input_size, num_units]. Data type supported: Same as @p input. * @param[in] input_to_cell_weights 2D weights tensor with dimensions [input_size, num_units]. Data type supported: Same as @p input. @@ -95,13 +119,26 @@ public: * @param[in] projection_threshold (Optional) The clipping threshold for the output from the projection layer, such that values are bound within [-proj_clip, proj_clip]. * If set to 0.0f then clipping is disabled. */ - void configure(const ICLTensor *input, - const ICLTensor *input_to_forget_weights, const ICLTensor *input_to_cell_weights, const ICLTensor *input_to_output_weights, - const ICLTensor *recurrent_to_forget_weights, const ICLTensor *recurrent_to_cell_weights, const ICLTensor *recurrent_to_output_weights, - const ICLTensor *forget_gate_bias, const ICLTensor *cell_bias, const ICLTensor *output_gate_bias, - const ICLTensor *output_state_in, const ICLTensor *cell_state_in, - ICLTensor *scratch_buffer, ICLTensor *output_state_out, ICLTensor *cell_state_out, ICLTensor *output, - const LSTMParams<ICLTensor> &lstm_params, const ActivationLayerInfo &activation_info, float cell_threshold = 0.f, float projection_threshold = 0.f); + void configure(const ICLTensor *input, + const ICLTensor *input_to_forget_weights, + const ICLTensor *input_to_cell_weights, + const ICLTensor *input_to_output_weights, + const ICLTensor *recurrent_to_forget_weights, + const ICLTensor *recurrent_to_cell_weights, + const ICLTensor *recurrent_to_output_weights, + const ICLTensor *forget_gate_bias, + const ICLTensor *cell_bias, + const ICLTensor *output_gate_bias, + const ICLTensor *output_state_in, + ICLTensor *cell_state_in, + ICLTensor *scratch_buffer, + ICLTensor *output_state_out, + ICLTensor *cell_state_out, + ICLTensor *output, + const LSTMParams<ICLTensor> &lstm_params, + const ActivationLayerInfo &activation_info, + float cell_threshold = 0.f, + float projection_threshold = 0.f); /** Initialize function's tensors. * * @param[in] compile_context The compile context to be used. @@ -141,13 +178,27 @@ public: * @param[in] projection_threshold (Optional) The clipping threshold for the output from the projection layer, such that values are bound within [-proj_clip, proj_clip]. * If set to 0.0f then clipping is disabled. */ - void configure(const CLCompileContext &compile_context, const ICLTensor *input, - const ICLTensor *input_to_forget_weights, const ICLTensor *input_to_cell_weights, const ICLTensor *input_to_output_weights, - const ICLTensor *recurrent_to_forget_weights, const ICLTensor *recurrent_to_cell_weights, const ICLTensor *recurrent_to_output_weights, - const ICLTensor *forget_gate_bias, const ICLTensor *cell_bias, const ICLTensor *output_gate_bias, - const ICLTensor *output_state_in, const ICLTensor *cell_state_in, - ICLTensor *scratch_buffer, ICLTensor *output_state_out, ICLTensor *cell_state_out, ICLTensor *output, - const LSTMParams<ICLTensor> &lstm_params, const ActivationLayerInfo &activation_info, float cell_threshold = 0.f, float projection_threshold = 0.f); + void configure(const CLCompileContext &compile_context, + const ICLTensor *input, + const ICLTensor *input_to_forget_weights, + const ICLTensor *input_to_cell_weights, + const ICLTensor *input_to_output_weights, + const ICLTensor *recurrent_to_forget_weights, + const ICLTensor *recurrent_to_cell_weights, + const ICLTensor *recurrent_to_output_weights, + const ICLTensor *forget_gate_bias, + const ICLTensor *cell_bias, + const ICLTensor *output_gate_bias, + const ICLTensor *output_state_in, + ICLTensor *cell_state_in, + ICLTensor *scratch_buffer, + ICLTensor *output_state_out, + ICLTensor *cell_state_out, + ICLTensor *output, + const LSTMParams<ICLTensor> &lstm_params, + const ActivationLayerInfo &activation_info, + float cell_threshold = 0.f, + float projection_threshold = 0.f); /** Static function to check if given info will lead to a valid configuration of @ref CLLSTMLayer * @@ -189,103 +240,117 @@ public: * * @return a status */ - static Status validate(const ITensorInfo *input, - const ITensorInfo *input_to_forget_weights, const ITensorInfo *input_to_cell_weights, const ITensorInfo *input_to_output_weights, - const ITensorInfo *recurrent_to_forget_weights, const ITensorInfo *recurrent_to_cell_weights, const ITensorInfo *recurrent_to_output_weights, - const ITensorInfo *forget_gate_bias, const ITensorInfo *cell_bias, const ITensorInfo *output_gate_bias, - const ITensorInfo *output_state_in, const ITensorInfo *cell_state_in, - const ITensorInfo *scratch_buffer, const ITensorInfo *output_state_out, const ITensorInfo *cell_state_out, const ITensorInfo *output, - const LSTMParams<ITensorInfo> &lstm_params, const ActivationLayerInfo &activation_info, float cell_threshold = 0.f, float projection_threshold = 0.f); + static Status validate(const ITensorInfo *input, + const ITensorInfo *input_to_forget_weights, + const ITensorInfo *input_to_cell_weights, + const ITensorInfo *input_to_output_weights, + const ITensorInfo *recurrent_to_forget_weights, + const ITensorInfo *recurrent_to_cell_weights, + const ITensorInfo *recurrent_to_output_weights, + const ITensorInfo *forget_gate_bias, + const ITensorInfo *cell_bias, + const ITensorInfo *output_gate_bias, + const ITensorInfo *output_state_in, + const ITensorInfo *cell_state_in, + const ITensorInfo *scratch_buffer, + const ITensorInfo *output_state_out, + const ITensorInfo *cell_state_out, + const ITensorInfo *output, + const LSTMParams<ITensorInfo> &lstm_params, + const ActivationLayerInfo &activation_info, + float cell_threshold = 0.f, + float projection_threshold = 0.f); // Inherited methods overridden: void run() override; void prepare() override; private: - MemoryGroup _memory_group; - CLFullyConnectedLayer _fully_connected_input_gate; - CLArithmeticAddition _accum_input_gate1; - CLSaturatedArithmeticOperationKernel _subtract_input_gate; - CLPixelWiseMultiplicationKernel _pixelwise_mul_input_gate; - CLActivationLayerKernel _activation_input_gate; - CLFullyConnectedLayer _fully_connected_forget_gate; - CLArithmeticAddition _accum_forget_gate1; - CLPixelWiseMultiplicationKernel _pixelwise_mul_forget_gate; - CLActivationLayerKernel _activation_forget_gate; - CLFullyConnectedLayer _fully_connected_cell_state; - CLGEMM _gemm_cell_state1; - CLTransposeKernel _transpose_cell_state; - CLSaturatedArithmeticOperationKernel _accum_cell_state1; - CLSaturatedArithmeticOperationKernel _accum_cell_state2; - CLPixelWiseMultiplicationKernel _pixelwise_mul_cell_state1; - CLActivationLayerKernel _activation_cell_state; - CLActivationLayerKernel _cell_clip; - CLPixelWiseMultiplicationKernel _pixelwise_mul_cell_state2; - CLFullyConnectedLayer _fully_connected_output; - CLPixelWiseMultiplicationKernel _pixelwise_mul_output_state1; - CLArithmeticAddition _accum_output1; - CLActivationLayerKernel _activation_output; - CLActivationLayerKernel _activation_output_state; - CLPixelWiseMultiplicationKernel _pixelwise_mul_output_state2; - CLFullyConnectedLayer _fully_connected_output_state; - CLActivationLayerKernel _projection_clip; - CLCopyKernel _copy_cell_state; - CLCopyKernel _copy_output; - CLConcatenateLayer _concat_scratch_buffer; - CLWidthConcatenate2TensorsKernel _concat_inputs_forget_gate; - CLWidthConcatenate2TensorsKernel _concat_weights_forget_gate; - CLWidthConcatenate2TensorsKernel _concat_weights_input_gate; - CLWidthConcatenate2TensorsKernel _concat_weights_output; - CLMemsetKernel _ones_memset_kernel; - CLMeanStdDevNormalizationLayer _mean_std_norm_input_gate; - CLPixelWiseMultiplicationKernel _pixelwise_mul_input_gate_coeff; - CLSaturatedArithmeticOperationKernel _accum_input_gate_bias; - CLMeanStdDevNormalizationLayer _mean_std_norm_forget_gate; - CLPixelWiseMultiplicationKernel _pixelwise_mul_forget_gate_coeff; - CLSaturatedArithmeticOperationKernel _accum_forget_gate_bias; - CLMeanStdDevNormalizationLayer _mean_std_norm_cell_gate; - CLPixelWiseMultiplicationKernel _pixelwise_mul_cell_gate_coeff; - CLSaturatedArithmeticOperationKernel _accum_cell_gate_bias; - CLMeanStdDevNormalizationLayer _mean_std_norm_output_gate; - CLPixelWiseMultiplicationKernel _pixelwise_mul_output_gate_coeff; - CLSaturatedArithmeticOperationKernel _accum_output_gate_bias; - CLTensor _input_gate_out1; - CLTensor _input_gate_out2; - CLTensor _input_gate_out3; - CLTensor _input_gate_out4; - CLTensor _forget_gate_out1; - CLTensor _forget_gate_out2; - CLTensor _forget_gate_out3; - CLTensor _forget_gate_out4; - CLTensor _forget_gate_out5; - CLTensor _forget_gate_out6; - CLTensor _cell_state_out1; - CLTensor _cell_state_out2; - CLTensor _cell_state_out3; - CLTensor _cell_state_out4; - CLTensor _cell_state_out5; - CLTensor _output1; - CLTensor _output2; - CLTensor _output3; - CLTensor _output4; - CLTensor _cell_state_activation; - CLTensor _output_state1; - CLTensor _ones; - CLTensor _input_layer_norm_out1; - CLTensor _input_layer_norm_out2; - CLTensor _forget_layer_norm_out1; - CLTensor _forget_layer_norm_out2; - CLTensor _cell_layer_norm_out1; - CLTensor _cell_layer_norm_out2; - CLTensor _output_layer_norm_out1; - CLTensor _output_layer_norm_out2; - bool _run_peephole_opt; - bool _run_cifg_opt; - bool _perform_cell_clipping; - bool _has_projection_weights; - bool _perform_projection_clipping; - bool _is_prepared; - bool _is_layer_norm_lstm; + MemoryGroup _memory_group; + CLFullyConnectedLayer _fully_connected_input_gate; + CLArithmeticAddition _accum_input_gate1; + CLArithmeticSubtraction _subtract_input_gate; + CLPixelWiseMultiplication _pixelwise_mul_input_gate; + CLActivationLayer _activation_input_gate; + CLFullyConnectedLayer _fully_connected_forget_gate; + CLArithmeticAddition _accum_forget_gate1; + CLPixelWiseMultiplication _pixelwise_mul_forget_gate; + CLActivationLayer _activation_forget_gate; + CLFullyConnectedLayer _fully_connected_cell_state; + CLGEMM _gemm_cell_state1; + std::unique_ptr<opencl::kernels::ClTransposeKernel> _transpose_cell_state; + CLArithmeticAddition _accum_cell_state1; + CLArithmeticAddition _accum_cell_state2; + CLPixelWiseMultiplication _pixelwise_mul_cell_state1; + CLActivationLayer _activation_cell_state; + CLActivationLayer _cell_clip; + CLPixelWiseMultiplication _pixelwise_mul_cell_state2; + CLFullyConnectedLayer _fully_connected_output; + CLPixelWiseMultiplication _pixelwise_mul_output_state1; + CLArithmeticAddition _accum_output1; + CLActivationLayer _activation_output; + CLActivationLayer _activation_output_state; + CLPixelWiseMultiplication _pixelwise_mul_output_state2; + CLFullyConnectedLayer _fully_connected_output_state; + CLActivationLayer _projection_clip; + CLCopy _copy_cell_state; + CLCopy _copy_output; + CLConcatenateLayer _concat_scratch_buffer; + CLConcatenateLayer _concat_inputs_forget_gate; + CLConcatenateLayer _concat_weights_forget_gate; + CLConcatenateLayer _concat_weights_input_gate; + CLConcatenateLayer _concat_weights_output; + CLFill _ones_fill; + CLMeanStdDevNormalizationLayer _mean_std_norm_input_gate; + CLPixelWiseMultiplication _pixelwise_mul_input_gate_coeff; + CLArithmeticAddition _accum_input_gate_bias; + CLMeanStdDevNormalizationLayer _mean_std_norm_forget_gate; + CLPixelWiseMultiplication _pixelwise_mul_forget_gate_coeff; + CLArithmeticAddition _accum_forget_gate_bias; + CLMeanStdDevNormalizationLayer _mean_std_norm_cell_gate; + CLPixelWiseMultiplication _pixelwise_mul_cell_gate_coeff; + CLArithmeticAddition _accum_cell_gate_bias; + CLMeanStdDevNormalizationLayer _mean_std_norm_output_gate; + CLPixelWiseMultiplication _pixelwise_mul_output_gate_coeff; + CLArithmeticAddition _accum_output_gate_bias; + CLTensor _input_gate_out1; + CLTensor _input_gate_out2; + CLTensor _input_gate_out3; + CLTensor _input_gate_out4; + CLTensor _forget_gate_out1; + CLTensor _forget_gate_out2; + CLTensor _forget_gate_out3; + CLTensor _forget_gate_out4; + CLTensor _forget_gate_out5; + CLTensor _forget_gate_out6; + CLTensor _cell_state_out1; + CLTensor _cell_state_out2; + CLTensor _cell_state_out3; + CLTensor _cell_state_out4; + CLTensor _cell_state_out5; + CLTensor _output1; + CLTensor _output2; + CLTensor _output3; + CLTensor _output4; + CLTensor _cell_state_activation; + CLTensor _output_state1; + CLTensor _ones; + CLTensor _input_layer_norm_out1; + CLTensor _input_layer_norm_out2; + CLTensor _forget_layer_norm_out1; + CLTensor _forget_layer_norm_out2; + CLTensor _cell_layer_norm_out1; + CLTensor _cell_layer_norm_out2; + CLTensor _output_layer_norm_out1; + CLTensor _output_layer_norm_out2; + bool _run_peephole_opt; + bool _run_cifg_opt; + bool _perform_cell_clipping; + bool _has_projection_weights; + bool _perform_projection_clipping; + bool _is_prepared; + bool _is_layer_norm_lstm; + const ICLTensor *_recurrent_to_cell_weights{nullptr}; }; } // namespace arm_compute #endif /* ARM_COMPUTE_CLLSTMLAYER_H */ |