diff options
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEQLSTMLayer.h')
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NEQLSTMLayer.h | 362 |
1 files changed, 199 insertions, 163 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEQLSTMLayer.h b/arm_compute/runtime/NEON/functions/NEQLSTMLayer.h index 7c2e9bc5a1..009a4e0911 100644 --- a/arm_compute/runtime/NEON/functions/NEQLSTMLayer.h +++ b/arm_compute/runtime/NEON/functions/NEQLSTMLayer.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2020-2021 Arm Limited. + * Copyright (c) 2020-2022 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -25,15 +25,17 @@ #define ARM_COMPUTE_NEQLSTMLAYER_H #include "arm_compute/core/Types.h" +#include "arm_compute/runtime/common/LSTMParams.h" #include "arm_compute/runtime/NEON/functions/NEActivationLayer.h" #include "arm_compute/runtime/NEON/functions/NEArithmeticAddition.h" #include "arm_compute/runtime/NEON/functions/NEArithmeticSubtraction.h" #include "arm_compute/runtime/NEON/functions/NECopy.h" +#include "arm_compute/runtime/NEON/functions/NEDequantizationLayer.h" #include "arm_compute/runtime/NEON/functions/NEGEMMLowpMatrixMultiplyCore.h" #include "arm_compute/runtime/NEON/functions/NEGEMMLowpOutputStage.h" #include "arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h" +#include "arm_compute/runtime/NEON/functions/NEQuantizationLayer.h" #include "arm_compute/runtime/NEON/functions/NETranspose.h" -#include "arm_compute/runtime/common/LSTMParams.h" #include <memory> @@ -43,8 +45,13 @@ namespace arm_compute class ITensor; class ITensorInfo; class NEQLSTMLayerNormalizationKernel; -class NEGEMMLowpMatrixAReductionKernel; - +namespace cpu +{ +namespace kernels +{ +class CpuGemmLowpMatrixAReductionKernel; +} // namespace kernels +} // namespace cpu /** Basic function to run @ref NEQLSTMLayer * * This function calls the following kernels: @@ -54,8 +61,8 @@ class NEGEMMLowpMatrixAReductionKernel; * -# @ref NEArithmeticSubtraction Elementwise subtraction * -# @ref NECopy Copy kernel for copying output_state_out to output * -# @ref NEGEMMLowpMatrixMultiplyCore Quantized matrix multiplication core. Accumulators are 32-bit integers - * -# @ref NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint Convert 32-bit integers into QSYMM16 - * -# @ref NEGEMMLowpMatrixAReductionKernel For precomputing effective biases to use + * -# @ref NEGEMMLowpOutputStage Convert 32-bit integers into QSYMM16 + * -# @ref cpu::kernels::CpuGemmLowpMatrixAReductionKernel For precomputing effective biases to use * -# @ref NEPixelWiseMultiplication Elementwise multiplication * -# @ref NETranspose Transpose function for reshaping the weights * */ @@ -123,12 +130,21 @@ public: * 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 0.0 then clipping is disabled. */ - void configure(const ITensor *input, - const ITensor *input_to_forget_weights, const ITensor *input_to_cell_weights, const ITensor *input_to_output_weights, - const ITensor *recurrent_to_forget_weights, const ITensor *recurrent_to_cell_weights, const ITensor *recurrent_to_output_weights, - const ITensor *forget_gate_bias, const ITensor *cell_bias, const ITensor *output_gate_bias, - const ITensor *cell_state_in, ITensor *output_state_in, - ITensor *cell_state_out, ITensor *output_state_out, ITensor *output, + void configure(const ITensor *input, + const ITensor *input_to_forget_weights, + const ITensor *input_to_cell_weights, + const ITensor *input_to_output_weights, + const ITensor *recurrent_to_forget_weights, + const ITensor *recurrent_to_cell_weights, + const ITensor *recurrent_to_output_weights, + const ITensor *forget_gate_bias, + const ITensor *cell_bias, + const ITensor *output_gate_bias, + const ITensor *cell_state_in, + ITensor *output_state_in, + ITensor *cell_state_out, + ITensor *output_state_out, + ITensor *output, const LSTMParams<ITensor> &lstm_params); /** Static function to check if given info will lead to a valid configuration of @ref NEQLSTMLayer @@ -173,12 +189,21 @@ public: * [-proj_clip, proj_clip]. If set to 0.0 then clipping is disabled. * @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 *cell_state_in, const ITensorInfo *output_state_in, - const ITensorInfo *cell_state_out, const ITensorInfo *output_state_out, const ITensorInfo *output, + 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 *cell_state_in, + const ITensorInfo *output_state_in, + const ITensorInfo *cell_state_out, + const ITensorInfo *output_state_out, + const ITensorInfo *output, const LSTMParams<ITensorInfo> &lstm_params); // Inherited methods overridden: @@ -211,10 +236,17 @@ private: * @param[in] mm_res_info Tensor info to be used to initialize output stage result tensor. * */ - void configure_mm(NEGEMMLowpMatrixMultiplyCore &mm, NEGEMMLowpOutputStage &outstage, GEMMLowpOutputStageInfo &gemmlowp_info, - const ITensor *mm_input, const ITensor *mm_weights, const ITensor *bias, Tensor *mm_res, - Tensor *outstage_res, float gemmlowp_scale, - const TensorInfo &mm_res_info, const TensorInfo &outstage_tensor_info); + void configure_mm(NEGEMMLowpMatrixMultiplyCore &mm, + NEGEMMLowpOutputStage &outstage, + GEMMLowpOutputStageInfo &gemmlowp_info, + const ITensor *mm_input, + const ITensor *mm_weights, + const ITensor *bias, + Tensor *mm_res, + Tensor *outstage_res, + float gemmlowp_scale, + const TensorInfo &mm_res_info, + const TensorInfo &outstage_tensor_info); MemoryGroup _memory_group; @@ -223,8 +255,8 @@ private: { static constexpr uint32_t max_dimension_supported = 2; - ITensor *_src{ nullptr }; - ITensor *_dst{ nullptr }; + ITensor *_src{nullptr}; + ITensor *_dst{nullptr}; size_t _row_size{}; Window _window{}; @@ -250,70 +282,73 @@ private: }; // Functions used - NETranspose _transpose_input_to_forget_weights; - NETranspose _transpose_input_to_cell_weights; - NETranspose _transpose_input_to_output_weights; - NETranspose _transpose_input_to_input_weights; - NETranspose _transpose_recurrent_to_forget_weights; - NETranspose _transpose_recurrent_to_cell_weights; - NETranspose _transpose_recurrent_to_output_weights; - NETranspose _transpose_recurrent_to_input_weights; - NETranspose _transpose_projection_weights; - std::unique_ptr<NEGEMMLowpMatrixAReductionKernel> _input_to_input_reduction; - std::unique_ptr<NEGEMMLowpMatrixAReductionKernel> _recurrent_to_input_reduction; - std::unique_ptr<NEGEMMLowpMatrixAReductionKernel> _input_to_forget_reduction; - std::unique_ptr<NEGEMMLowpMatrixAReductionKernel> _recurrent_to_forget_reduction; - std::unique_ptr<NEGEMMLowpMatrixAReductionKernel> _input_to_cell_reduction; - std::unique_ptr<NEGEMMLowpMatrixAReductionKernel> _recurrent_to_cell_reduction; - std::unique_ptr<NEGEMMLowpMatrixAReductionKernel> _input_to_output_reduction; - std::unique_ptr<NEGEMMLowpMatrixAReductionKernel> _recurrent_to_output_reduction; - std::unique_ptr<NEGEMMLowpMatrixAReductionKernel> _projection_reduction; - NEArithmeticAddition _projection_bias_add; - NEGEMMLowpMatrixMultiplyCore _mm_input_to_forget; - NEGEMMLowpMatrixMultiplyCore _mm_recurrent_to_forget; - NEPixelWiseMultiplication _pixelwise_mul_cell_to_forget; - NEGEMMLowpOutputStage _input_to_forget_outstage; - NEGEMMLowpOutputStage _recurrent_to_forget_outstage; - NEGEMMLowpOutputStage _cell_to_forget_outstage; - NEArithmeticAddition _accumulate_input_recurrent_forget; - NEArithmeticAddition _accumulate_cell_forget; - NEActivationLayer _forget_gate_sigmoid; - NEGEMMLowpMatrixMultiplyCore _mm_input_to_cell; - NEGEMMLowpOutputStage _input_to_cell_outstage; - NEGEMMLowpMatrixMultiplyCore _mm_recurrent_to_cell; - NEGEMMLowpOutputStage _recurrent_to_cell_outstage; - NEArithmeticAddition _accumulate_input_recurrent_modulation; - NEActivationLayer _cell_gate_tanh; - NEArithmeticSubtraction _input_gate_sub; - NEGEMMLowpMatrixMultiplyCore _mm_input_to_input; - NEGEMMLowpOutputStage _input_to_input_outstage; - NEGEMMLowpMatrixMultiplyCore _mm_recurrent_to_input; - NEGEMMLowpOutputStage _recurrent_to_input_outstage; - NEArithmeticAddition _accumulate_input_recurrent_input; - NEPixelWiseMultiplication _pixelwise_mul_cell_to_input; - NEGEMMLowpOutputStage _cell_to_input_outstage; - NEArithmeticAddition _accumulate_cell_input; - NEActivationLayer _input_gate_sigmoid; - NEPixelWiseMultiplication _pixelwise_mul_forget_cell; - NEPixelWiseMultiplication _pixelwise_mul_input_cell; - NEArithmeticAddition _add_forget_cell; - NEActivationLayer _cell_clip; - NEGEMMLowpMatrixMultiplyCore _mm_input_to_output; - NEGEMMLowpOutputStage _input_to_output_outstage; - NEGEMMLowpMatrixMultiplyCore _mm_recurrent_to_output; - NEGEMMLowpOutputStage _recurrent_to_output_outstage; - NEArithmeticAddition _accumulate_input_recurrent_output; - NEPixelWiseMultiplication _pixelwise_mul_cell_to_output; - NEGEMMLowpOutputStage _cell_to_output_outstage; - NEArithmeticAddition _accumulate_cell_to_output; - NEActivationLayer _output_gate_sigmoid; - NEActivationLayer _hidden_tanh; - NEPixelWiseMultiplication _pixelwise_mul_hidden; - NEGEMMLowpOutputStage _hidden_outstage; - NEGEMMLowpMatrixMultiplyCore _mm_projection; - NEGEMMLowpOutputStage _projection_outstage; - NEArithmeticAddition _accumulate_projection; - NEActivationLayer _projection_clip; + + NEDequantizationLayer _dequantize_input_to_forget_weights; + NEQuantizationLayer _quantize_input_to_forget_weights; + NETranspose _transpose_input_to_forget_weights; + NETranspose _transpose_input_to_cell_weights; + NETranspose _transpose_input_to_output_weights; + NETranspose _transpose_input_to_input_weights; + NETranspose _transpose_recurrent_to_forget_weights; + NETranspose _transpose_recurrent_to_cell_weights; + NETranspose _transpose_recurrent_to_output_weights; + NETranspose _transpose_recurrent_to_input_weights; + NETranspose _transpose_projection_weights; + std::unique_ptr<cpu::kernels::CpuGemmLowpMatrixAReductionKernel> _input_to_input_reduction; + std::unique_ptr<cpu::kernels::CpuGemmLowpMatrixAReductionKernel> _recurrent_to_input_reduction; + std::unique_ptr<cpu::kernels::CpuGemmLowpMatrixAReductionKernel> _input_to_forget_reduction; + std::unique_ptr<cpu::kernels::CpuGemmLowpMatrixAReductionKernel> _recurrent_to_forget_reduction; + std::unique_ptr<cpu::kernels::CpuGemmLowpMatrixAReductionKernel> _input_to_cell_reduction; + std::unique_ptr<cpu::kernels::CpuGemmLowpMatrixAReductionKernel> _recurrent_to_cell_reduction; + std::unique_ptr<cpu::kernels::CpuGemmLowpMatrixAReductionKernel> _input_to_output_reduction; + std::unique_ptr<cpu::kernels::CpuGemmLowpMatrixAReductionKernel> _recurrent_to_output_reduction; + std::unique_ptr<cpu::kernels::CpuGemmLowpMatrixAReductionKernel> _projection_reduction; + NEArithmeticAddition _projection_bias_add; + NEGEMMLowpMatrixMultiplyCore _mm_input_to_forget; + NEGEMMLowpMatrixMultiplyCore _mm_recurrent_to_forget; + NEPixelWiseMultiplication _pixelwise_mul_cell_to_forget; + NEGEMMLowpOutputStage _input_to_forget_outstage; + NEGEMMLowpOutputStage _recurrent_to_forget_outstage; + NEGEMMLowpOutputStage _cell_to_forget_outstage; + NEArithmeticAddition _accumulate_input_recurrent_forget; + NEArithmeticAddition _accumulate_cell_forget; + NEActivationLayer _forget_gate_sigmoid; + NEGEMMLowpMatrixMultiplyCore _mm_input_to_cell; + NEGEMMLowpOutputStage _input_to_cell_outstage; + NEGEMMLowpMatrixMultiplyCore _mm_recurrent_to_cell; + NEGEMMLowpOutputStage _recurrent_to_cell_outstage; + NEArithmeticAddition _accumulate_input_recurrent_modulation; + NEActivationLayer _cell_gate_tanh; + NEArithmeticSubtraction _input_gate_sub; + NEGEMMLowpMatrixMultiplyCore _mm_input_to_input; + NEGEMMLowpOutputStage _input_to_input_outstage; + NEGEMMLowpMatrixMultiplyCore _mm_recurrent_to_input; + NEGEMMLowpOutputStage _recurrent_to_input_outstage; + NEArithmeticAddition _accumulate_input_recurrent_input; + NEPixelWiseMultiplication _pixelwise_mul_cell_to_input; + NEGEMMLowpOutputStage _cell_to_input_outstage; + NEArithmeticAddition _accumulate_cell_input; + NEActivationLayer _input_gate_sigmoid; + NEPixelWiseMultiplication _pixelwise_mul_forget_cell; + NEPixelWiseMultiplication _pixelwise_mul_input_cell; + NEArithmeticAddition _add_forget_cell; + NEActivationLayer _cell_clip; + NEGEMMLowpMatrixMultiplyCore _mm_input_to_output; + NEGEMMLowpOutputStage _input_to_output_outstage; + NEGEMMLowpMatrixMultiplyCore _mm_recurrent_to_output; + NEGEMMLowpOutputStage _recurrent_to_output_outstage; + NEArithmeticAddition _accumulate_input_recurrent_output; + NEPixelWiseMultiplication _pixelwise_mul_cell_to_output; + NEGEMMLowpOutputStage _cell_to_output_outstage; + NEArithmeticAddition _accumulate_cell_to_output; + NEActivationLayer _output_gate_sigmoid; + NEActivationLayer _hidden_tanh; + NEPixelWiseMultiplication _pixelwise_mul_hidden; + NEGEMMLowpOutputStage _hidden_outstage; + NEGEMMLowpMatrixMultiplyCore _mm_projection; + NEGEMMLowpOutputStage _projection_outstage; + NEArithmeticAddition _accumulate_projection; + NEActivationLayer _projection_clip; TensorCopyKernel _projection_bias_copy; TensorCopyKernel _projection_output_to_accumulate_copy; @@ -325,19 +360,16 @@ private: NECopy _copy_output; // Tensor pointers - const ITensor *_input_to_input_weights - { - nullptr - }; - const ITensor *_recurrent_to_input_weights{ nullptr }; - const ITensor *_projection_bias{ nullptr }; - const ITensor *_input_to_forget_weights{ nullptr }; - const ITensor *_input_to_cell_weights{ nullptr }; - const ITensor *_input_to_output_weights{ nullptr }; - const ITensor *_recurrent_to_forget_weights{ nullptr }; - const ITensor *_recurrent_to_cell_weights{ nullptr }; - const ITensor *_recurrent_to_output_weights{ nullptr }; - const ITensor *_projection_weights{ nullptr }; + const ITensor *_input_to_input_weights{nullptr}; + const ITensor *_recurrent_to_input_weights{nullptr}; + const ITensor *_projection_bias{nullptr}; + const ITensor *_input_to_forget_weights{nullptr}; + const ITensor *_input_to_cell_weights{nullptr}; + const ITensor *_input_to_output_weights{nullptr}; + const ITensor *_recurrent_to_forget_weights{nullptr}; + const ITensor *_recurrent_to_cell_weights{nullptr}; + const ITensor *_recurrent_to_output_weights{nullptr}; + const ITensor *_projection_weights{nullptr}; std::array<const ITensor *, _layer_norm_count> _layer_norm_weights{}; std::array<const ITensor *, _layer_norm_count> _layer_norm_bias{}; @@ -372,63 +404,66 @@ private: return _layer_norms[getGateIndex(g)]; } - void configure_layer_norm(LayerNormGate g, const ITensor *in); + void configure_layer_norm(LayerNormGate g, const ITensor *in); static Status validate_layer_norm(const ITensorInfo &in, const ITensorInfo &weight, const ITensorInfo &bias); // Temporary tensors - Tensor _input_to_forget_weights_transposed{ nullptr }; - Tensor _input_to_cell_weights_transposed{ nullptr }; - Tensor _input_to_output_weights_transposed{ nullptr }; - Tensor _input_to_input_weights_transposed{ nullptr }; - Tensor _recurrent_to_forget_weights_transposed{ nullptr }; - Tensor _recurrent_to_cell_weights_transposed{ nullptr }; - Tensor _recurrent_to_output_weights_transposed{ nullptr }; - Tensor _recurrent_to_input_weights_transposed{ nullptr }; - Tensor _projection_weights_transposed{ nullptr }; - Tensor _input_to_input_eff_bias{ nullptr }; - Tensor _recurrent_to_input_eff_bias{ nullptr }; - Tensor _input_to_forget_eff_bias{ nullptr }; - Tensor _recurrent_to_forget_eff_bias{ nullptr }; - Tensor _input_to_cell_eff_bias{ nullptr }; - Tensor _recurrent_to_cell_eff_bias{ nullptr }; - Tensor _input_to_output_eff_bias{ nullptr }; - Tensor _recurrent_to_output_eff_bias{ nullptr }; - Tensor _projection_reduction_res{ nullptr }; - Tensor _projection_eff_bias{ nullptr }; - Tensor _mm_input_to_forget_res{ nullptr }; - Tensor _mm_recurrent_to_forget_res{ nullptr }; - Tensor _mul_cell_to_forget_res{ nullptr }; - Tensor _input_to_forget_outstage_res{ nullptr }; - Tensor _cell_to_forget_outstage_res{ nullptr }; - Tensor _recurrent_to_forget_outstage_res{ nullptr }; - Tensor _forget_gate{ nullptr }; - Tensor _mm_input_to_cell_res{ nullptr }; - Tensor _input_to_cell_outstage_res{ nullptr }; - Tensor _mm_recurrent_to_cell_res{ nullptr }; - Tensor _recurrent_to_cell_outstage_res{ nullptr }; - Tensor _cell_gate{ nullptr }; - Tensor _mul_input_cell_res{ nullptr }; - Tensor _mm_input_to_input_res{ nullptr }; - Tensor _input_to_input_outstage_res{ nullptr }; - Tensor _mm_recurrent_to_input_res{ nullptr }; - Tensor _mul_cell_to_input_res{ nullptr }; - Tensor _cell_to_input_outstage_res{ nullptr }; - Tensor _recurrent_to_input_outstage_res{ nullptr }; - Tensor _input_gate{ nullptr }; - Tensor _mm_input_to_output_res{ nullptr }; - Tensor _input_to_output_outstage_res{ nullptr }; - Tensor _mm_recurrent_to_output_res{ nullptr }; - Tensor _mul_cell_to_output_res{ nullptr }; - Tensor _cell_to_output_outstage_res{ nullptr }; - Tensor _recurrent_to_output_outstage_res{ nullptr }; - Tensor _output_gate{ nullptr }; - Tensor _hidden_mul_res{ nullptr }; - Tensor _hidden_gate{ nullptr }; - Tensor _mm_projection_res{ nullptr }; - Tensor _projection_outstage_res{ nullptr }; - Tensor _projection_out_res{ nullptr }; - Tensor _projection_accumulate_res{ nullptr }; - Tensor _ones{ nullptr }; + Tensor _input_to_forget_weights_f32{nullptr}; + Tensor _input_to_forget_weights_symm8{nullptr}; + + Tensor _input_to_forget_weights_transposed{nullptr}; + Tensor _input_to_cell_weights_transposed{nullptr}; + Tensor _input_to_output_weights_transposed{nullptr}; + Tensor _input_to_input_weights_transposed{nullptr}; + Tensor _recurrent_to_forget_weights_transposed{nullptr}; + Tensor _recurrent_to_cell_weights_transposed{nullptr}; + Tensor _recurrent_to_output_weights_transposed{nullptr}; + Tensor _recurrent_to_input_weights_transposed{nullptr}; + Tensor _projection_weights_transposed{nullptr}; + Tensor _input_to_input_eff_bias{nullptr}; + Tensor _recurrent_to_input_eff_bias{nullptr}; + Tensor _input_to_forget_eff_bias{nullptr}; + Tensor _recurrent_to_forget_eff_bias{nullptr}; + Tensor _input_to_cell_eff_bias{nullptr}; + Tensor _recurrent_to_cell_eff_bias{nullptr}; + Tensor _input_to_output_eff_bias{nullptr}; + Tensor _recurrent_to_output_eff_bias{nullptr}; + Tensor _projection_reduction_res{nullptr}; + Tensor _projection_eff_bias{nullptr}; + Tensor _mm_input_to_forget_res{nullptr}; + Tensor _mm_recurrent_to_forget_res{nullptr}; + Tensor _mul_cell_to_forget_res{nullptr}; + Tensor _input_to_forget_outstage_res{nullptr}; + Tensor _cell_to_forget_outstage_res{nullptr}; + Tensor _recurrent_to_forget_outstage_res{nullptr}; + Tensor _forget_gate{nullptr}; + Tensor _mm_input_to_cell_res{nullptr}; + Tensor _input_to_cell_outstage_res{nullptr}; + Tensor _mm_recurrent_to_cell_res{nullptr}; + Tensor _recurrent_to_cell_outstage_res{nullptr}; + Tensor _cell_gate{nullptr}; + Tensor _mul_input_cell_res{nullptr}; + Tensor _mm_input_to_input_res{nullptr}; + Tensor _input_to_input_outstage_res{nullptr}; + Tensor _mm_recurrent_to_input_res{nullptr}; + Tensor _mul_cell_to_input_res{nullptr}; + Tensor _cell_to_input_outstage_res{nullptr}; + Tensor _recurrent_to_input_outstage_res{nullptr}; + Tensor _input_gate{nullptr}; + Tensor _mm_input_to_output_res{nullptr}; + Tensor _input_to_output_outstage_res{nullptr}; + Tensor _mm_recurrent_to_output_res{nullptr}; + Tensor _mul_cell_to_output_res{nullptr}; + Tensor _cell_to_output_outstage_res{nullptr}; + Tensor _recurrent_to_output_outstage_res{nullptr}; + Tensor _output_gate{nullptr}; + Tensor _hidden_mul_res{nullptr}; + Tensor _hidden_gate{nullptr}; + Tensor _mm_projection_res{nullptr}; + Tensor _projection_outstage_res{nullptr}; + Tensor _projection_out_res{nullptr}; + Tensor _projection_accumulate_res{nullptr}; + Tensor _ones{nullptr}; std::array<Tensor, _layer_norm_count> _layer_norm_output{}; inline Tensor &get_layer_norm_output(LayerNormGate g) @@ -436,14 +471,15 @@ private: return _layer_norm_output[getGateIndex(g)]; } - bool _is_prepared{ false }; - bool _has_cifg{ false }; - bool _has_cell_clipping{ false }; - bool _has_projection{ false }; - bool _has_projection_clipping{ false }; - bool _has_peephole{ false }; - bool _has_layer_norm{ false }; - bool _projection_tensor_copy_required{ false }; + bool _is_prepared{false}; + bool _has_cifg{false}; + bool _has_cell_clipping{false}; + bool _has_projection{false}; + bool _has_projection_clipping{false}; + bool _has_peephole{false}; + bool _has_layer_norm{false}; + bool _projection_tensor_copy_required{false}; + bool _convert_input_to_forget_weights_to_qsymm8{false}; }; } // namespace arm_compute #endif /* ARM_COMPUTE_NEQLSTMLAYER_H */ |