FFmpeg
dnn_backend_native_layer_maximum.c
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1 /*
2  * Copyright (c) 2019 Guo Yejun
3  *
4  * This file is part of FFmpeg.
5  *
6  * FFmpeg is free software; you can redistribute it and/or
7  * modify it under the terms of the GNU Lesser General Public
8  * License as published by the Free Software Foundation; either
9  * version 2.1 of the License, or (at your option) any later version.
10  *
11  * FFmpeg is distributed in the hope that it will be useful,
12  * but WITHOUT ANY WARRANTY; without even the implied warranty of
13  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
14  * Lesser General Public License for more details.
15  *
16  * You should have received a copy of the GNU Lesser General Public
17  * License along with FFmpeg; if not, write to the Free Software
18  * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
19  */
20 
21 /**
22  * @file
23  * DNN native backend implementation.
24  */
25 
26 #include "dnn_backend_native.h"
27 #include "libavutil/avassert.h"
29 
30 int dnn_load_layer_maximum(Layer *layer, AVIOContext *model_file_context, int file_size)
31 {
33  int dnn_size = 0;
34  params = av_malloc(sizeof(*params));
35  if (!params)
36  return 0;
37 
38  params->val.u32 = avio_rl32(model_file_context);
39  dnn_size += 4;
40  layer->params = params;
41  layer->input_operand_indexes[0] = (int32_t)avio_rl32(model_file_context);
42  layer->output_operand_index = (int32_t)avio_rl32(model_file_context);
43  dnn_size += 8;
44 
45  return dnn_size;
46 }
47 
48 int dnn_execute_layer_maximum(DnnOperand *operands, const int32_t *input_operand_indexes,
49  int32_t output_operand_index, const void *parameters)
50 {
51  const DnnOperand *input = &operands[input_operand_indexes[0]];
52  DnnOperand *output = &operands[output_operand_index];
53  const DnnLayerMaximumParams *params = (const DnnLayerMaximumParams *)parameters;
54  int dims_count;
55  const float *src;
56  float *dst;
57 
58  for (int i = 0; i < 4; ++i)
59  output->dims[i] = input->dims[i];
60 
61  output->data_type = input->data_type;
62  output->length = calculate_operand_data_length(output);
63  output->data = av_realloc(output->data, output->length);
64  if (!output->data)
65  return DNN_ERROR;
66 
67  dims_count = calculate_operand_dims_count(output);
68  src = input->data;
69  dst = output->data;
70  for (int i = 0; i < dims_count; ++i)
71  dst[i] = FFMAX(src[i], params->val.y);
72 
73  return 0;
74 }
Bytestream IO Context.
Definition: avio.h:161
void * av_realloc(void *ptr, size_t size)
Allocate, reallocate, or free a block of memory.
Definition: mem.c:135
int dnn_execute_layer_maximum(DnnOperand *operands, const int32_t *input_operand_indexes, int32_t output_operand_index, const void *parameters)
DNN inference functions interface for native backend.
int32_t calculate_operand_dims_count(const DnnOperand *oprd)
#define src
Definition: vp8dsp.c:254
int32_t input_operand_indexes[4]
a layer can have multiple inputs and one output.
#define av_malloc(s)
filter_frame For filters that do not use the this method is called when a frame is pushed to the filter s input It can be called at any time except in a reentrant way If the input frame is enough to produce output
DNNDataType data_type
support different kinds of data type such as float, half float, int8 etc, first support float now...
#define i(width, name, range_min, range_max)
Definition: cbs_h2645.c:259
unsigned int avio_rl32(AVIOContext *s)
Definition: aviobuf.c:772
void * data
data pointer with data length in bytes.
GLenum GLint * params
Definition: opengl_enc.c:113
simple assert() macros that are a bit more flexible than ISO C assert().
int32_t dims[4]
there are two memory layouts, NHWC or NCHW, so we use dims, dims[0] is Number.
#define FFMAX(a, b)
Definition: common.h:94
int32_t
int dnn_load_layer_maximum(Layer *layer, AVIOContext *model_file_context, int file_size)
DNN inference functions interface for native backend.
and forward the test the status of outputs and forward it to the corresponding return FFERROR_NOT_READY If the filters stores internally one or a few frame for some input
int32_t calculate_operand_data_length(const DnnOperand *oprd)
void * params
union DnnLayerMaximumParams::@219 val
int32_t output_operand_index