100 lines
3.1 KiB
C
100 lines
3.1 KiB
C
/*
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* Copyright (C) 2010-2022 Arm Limited or its affiliates.
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*
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* SPDX-License-Identifier: Apache-2.0
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*
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* Licensed under the Apache License, Version 2.0 (the License); you may
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* not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an AS IS BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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/* ----------------------------------------------------------------------
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* Project: CMSIS NN Library
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* Title: arm_fully_connected_s8
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* Description: Fully connected function compatible with TF Lite.
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*
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* $Date: 8 April 2022
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* $Revision: V.3.1.0
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*
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* Target Processor: Cortex-M and Cortex-A cores
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*
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* -------------------------------------------------------------------- */
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#include "arm_nnfunctions.h"
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#include "arm_nnsupportfunctions.h"
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/**
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* @ingroup groupNN
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*/
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/**
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* @addtogroup FC
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* @{
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*/
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/*
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* S8 basic fully-connected and matrix multiplication layer function for TensorFlow Lite
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*
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* Refer header file for details.
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*
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*/
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arm_status arm_fully_connected_s8(const cmsis_nn_context *ctx,
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const cmsis_nn_fc_params *fc_params,
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const cmsis_nn_per_tensor_quant_params *quant_params,
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const cmsis_nn_dims *input_dims,
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const q7_t *input,
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const cmsis_nn_dims *filter_dims,
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const q7_t *kernel,
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const cmsis_nn_dims *bias_dims,
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const int32_t *bias,
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const cmsis_nn_dims *output_dims,
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q7_t *output)
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{
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(void)bias_dims;
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(void)ctx;
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(void)fc_params->filter_offset;
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int32_t batch_cnt = input_dims->n;
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while (batch_cnt)
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{
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arm_nn_vec_mat_mult_t_s8(input,
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kernel,
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bias,
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output,
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fc_params->input_offset,
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0,
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fc_params->output_offset,
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quant_params->multiplier,
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quant_params->shift,
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filter_dims->n, /* col_dim or accum_depth */
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output_dims->c, /* row_dim or output_depth */
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fc_params->activation.min,
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fc_params->activation.max,
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1L);
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input += filter_dims->n;
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output += output_dims->c;
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batch_cnt--;
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}
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return (ARM_MATH_SUCCESS);
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}
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int32_t arm_fully_connected_s8_get_buffer_size(const cmsis_nn_dims *filter_dims)
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{
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(void)filter_dims;
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return 0;
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}
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/**
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* @} end of FC group
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*/
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