87 lines
2.7 KiB
C
87 lines
2.7 KiB
C
|
/*
|
||
|
* Copyright (c) 2020
|
||
|
*
|
||
|
* This file is part of FFmpeg.
|
||
|
*
|
||
|
* FFmpeg is free software; you can redistribute it and/or
|
||
|
* modify it under the terms of the GNU Lesser General Public
|
||
|
* License as published by the Free Software Foundation; either
|
||
|
* version 2.1 of the License, or (at your option) any later version.
|
||
|
*
|
||
|
* FFmpeg is distributed in the hope that it will be useful,
|
||
|
* but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||
|
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
|
||
|
* Lesser General Public License for more details.
|
||
|
*
|
||
|
* You should have received a copy of the GNU Lesser General Public
|
||
|
* License along with FFmpeg; if not, write to the Free Software
|
||
|
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
|
||
|
*/
|
||
|
|
||
|
/**
|
||
|
* @file
|
||
|
* DNN native backend implementation.
|
||
|
*/
|
||
|
|
||
|
#include "dnn_backend_native.h"
|
||
|
#include "libavutil/avassert.h"
|
||
|
#include "dnn_backend_native_layer_mathunary.h"
|
||
|
|
||
|
int dnn_load_layer_math_unary(Layer *layer, AVIOContext *model_file_context, int file_size, int operands_num)
|
||
|
{
|
||
|
DnnLayerMathUnaryParams *params;
|
||
|
int dnn_size = 0;
|
||
|
params = av_malloc(sizeof(*params));
|
||
|
if(!params)
|
||
|
return 0;
|
||
|
|
||
|
params->un_op = (int32_t)avio_rl32(model_file_context);
|
||
|
dnn_size += 4;
|
||
|
layer->params = params;
|
||
|
layer->input_operand_indexes[0] = (int32_t)avio_rl32(model_file_context);
|
||
|
layer->output_operand_index = (int32_t)avio_rl32(model_file_context);
|
||
|
dnn_size += 8;
|
||
|
|
||
|
if (layer->input_operand_indexes[0] >= operands_num || layer->output_operand_index >= operands_num) {
|
||
|
return 0;
|
||
|
}
|
||
|
|
||
|
return dnn_size;
|
||
|
|
||
|
}
|
||
|
|
||
|
int dnn_execute_layer_math_unary(DnnOperand *operands, const int32_t *input_operand_indexes,
|
||
|
int32_t output_operand_index, const void *parameters)
|
||
|
{
|
||
|
const DnnOperand *input = &operands[input_operand_indexes[0]];
|
||
|
DnnOperand *output = &operands[output_operand_index];
|
||
|
const DnnLayerMathUnaryParams *params = (const DnnLayerMathUnaryParams *)parameters;
|
||
|
int dims_count;
|
||
|
const float *src;
|
||
|
float *dst;
|
||
|
|
||
|
for (int i = 0; i < 4; ++i)
|
||
|
output->dims[i] = input->dims[i];
|
||
|
|
||
|
output->data_type = input->data_type;
|
||
|
output->length = calculate_operand_data_length(output);
|
||
|
if (output->length <= 0)
|
||
|
return DNN_ERROR;
|
||
|
output->data = av_realloc(output->data, output->length);
|
||
|
if (!output->data)
|
||
|
return DNN_ERROR;
|
||
|
|
||
|
dims_count = calculate_operand_dims_count(output);
|
||
|
src = input->data;
|
||
|
dst = output->data;
|
||
|
|
||
|
switch (params->un_op) {
|
||
|
case DMUO_ABS:
|
||
|
for (int i = 0; i < dims_count; ++i)
|
||
|
dst[i] = FFABS(src[i]);
|
||
|
return 0;
|
||
|
default:
|
||
|
return -1;
|
||
|
}
|
||
|
}
|