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