mirror of https://git.ffmpeg.org/ffmpeg.git
180 lines
5.9 KiB
C
180 lines
5.9 KiB
C
/*
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* Copyright (c) 2020
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*
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* This file is part of FFmpeg.
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*
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* FFmpeg is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Lesser General Public
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* License as published by the Free Software Foundation; either
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* version 2.1 of the License, or (at your option) any later version.
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*
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* FFmpeg is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public
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* License along with FFmpeg; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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*/
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/**
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* @file
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* DNN native backend implementation.
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*/
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#include "dnn_backend_native.h"
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#include "libavutil/avassert.h"
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#include "dnn_backend_native_layer_mathbinary.h"
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int dnn_load_layer_math_binary(Layer *layer, AVIOContext *model_file_context, int file_size, int operands_num)
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{
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DnnLayerMathBinaryParams *params;
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int dnn_size = 0;
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int input_index = 0;
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params = av_malloc(sizeof(*params));
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if (!params)
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return 0;
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params->bin_op = (int32_t)avio_rl32(model_file_context);
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dnn_size += 4;
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params->input0_broadcast = (int32_t)avio_rl32(model_file_context);
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dnn_size += 4;
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if (params->input0_broadcast) {
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params->v = av_int2float(avio_rl32(model_file_context));
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} else {
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layer->input_operand_indexes[input_index] = (int32_t)avio_rl32(model_file_context);
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if (layer->input_operand_indexes[input_index] >= operands_num) {
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return 0;
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}
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input_index++;
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}
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dnn_size += 4;
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params->input1_broadcast = (int32_t)avio_rl32(model_file_context);
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dnn_size += 4;
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if (params->input1_broadcast) {
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params->v = av_int2float(avio_rl32(model_file_context));
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} else {
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layer->input_operand_indexes[input_index] = (int32_t)avio_rl32(model_file_context);
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if (layer->input_operand_indexes[input_index] >= operands_num) {
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return 0;
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}
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input_index++;
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}
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dnn_size += 4;
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layer->output_operand_index = (int32_t)avio_rl32(model_file_context);
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dnn_size += 4;
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layer->params = params;
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if (layer->output_operand_index >= operands_num) {
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return 0;
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}
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return dnn_size;
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}
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int dnn_execute_layer_math_binary(DnnOperand *operands, const int32_t *input_operand_indexes,
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int32_t output_operand_index, const void *parameters)
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{
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const DnnOperand *input = &operands[input_operand_indexes[0]];
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DnnOperand *output = &operands[output_operand_index];
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const DnnLayerMathBinaryParams *params = (const DnnLayerMathBinaryParams *)parameters;
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int dims_count;
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const float *src;
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float *dst;
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for (int i = 0; i < 4; ++i)
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output->dims[i] = input->dims[i];
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output->data_type = input->data_type;
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output->length = calculate_operand_data_length(output);
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output->data = av_realloc(output->data, output->length);
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if (!output->data)
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return DNN_ERROR;
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dims_count = calculate_operand_dims_count(output);
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src = input->data;
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dst = output->data;
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switch (params->bin_op) {
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case DMBO_SUB:
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if (params->input0_broadcast) {
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for (int i = 0; i < dims_count; ++i) {
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dst[i] = params->v - src[i];
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}
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} else if (params->input1_broadcast) {
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for (int i = 0; i < dims_count; ++i) {
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dst[i] = src[i] - params->v;
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}
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} else {
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const DnnOperand *input1 = &operands[input_operand_indexes[1]];
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const float *src1 = input1->data;
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for (int i = 0; i < dims_count; ++i) {
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dst[i] = src[i] - src1[i];
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}
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}
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return 0;
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case DMBO_ADD:
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if (params->input0_broadcast || params->input1_broadcast) {
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for (int i = 0; i < dims_count; ++i) {
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dst[i] = params->v + src[i];
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}
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} else {
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const DnnOperand *input1 = &operands[input_operand_indexes[1]];
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const float *src1 = input1->data;
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for (int i = 0; i < dims_count; ++i) {
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dst[i] = src[i] + src1[i];
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}
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}
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return 0;
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case DMBO_MUL:
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if (params->input0_broadcast || params->input1_broadcast) {
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for (int i = 0; i < dims_count; ++i) {
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dst[i] = params->v * src[i];
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}
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} else {
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const DnnOperand *input1 = &operands[input_operand_indexes[1]];
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const float *src1 = input1->data;
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for (int i = 0; i < dims_count; ++i) {
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dst[i] = src[i] * src1[i];
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}
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}
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return 0;
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case DMBO_REALDIV:
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if (params->input0_broadcast) {
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for (int i = 0; i < dims_count; ++i) {
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dst[i] = params->v / src[i];
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}
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} else if (params->input1_broadcast) {
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for (int i = 0; i < dims_count; ++i) {
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dst[i] = src[i] / params->v;
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}
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} else {
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const DnnOperand *input1 = &operands[input_operand_indexes[1]];
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const float *src1 = input1->data;
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for (int i = 0; i < dims_count; ++i) {
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dst[i] = src[i] / src1[i];
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}
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}
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return 0;
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case DMBO_MINIMUM:
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if (params->input0_broadcast || params->input1_broadcast) {
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for (int i = 0; i < dims_count; ++i) {
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dst[i] = FFMIN(params->v, src[i]);
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}
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} else {
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const DnnOperand *input1 = &operands[input_operand_indexes[1]];
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const float *src1 = input1->data;
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for (int i = 0; i < dims_count; ++i) {
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dst[i] = FFMIN(src[i], src1[i]);
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}
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}
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return 0;
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default:
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return -1;
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}
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}
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