FFmpeg
dnn_backend_native_layer_mathbinary.c
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1 /*
2  * Copyright (c) 2020
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"
28 
29 typedef float (*FunType)(float src0, float src1);
30 
31 static float sub(float src0, float src1)
32 {
33  return src0 - src1;
34 }
35 static float add(float src0, float src1)
36 {
37  return src0 + src1;
38 }
39 static float mul(float src0, float src1)
40 {
41  return src0 * src1;
42 }
43 static float realdiv(float src0, float src1)
44 {
45  return src0 / src1;
46 }
47 static float minimum(float src0, float src1)
48 {
49  return FFMIN(src0, src1);
50 }
51 static float floormod(float src0, float src1)
52 {
53  return (float)((int)(src0) % (int)(src1));
54 }
55 
56 static void math_binary_commutative(FunType pfun, const DnnLayerMathBinaryParams *params, const DnnOperand *input, DnnOperand *output, DnnOperand *operands, const int32_t *input_operand_indexes)
57 {
58  int dims_count;
59  const float *src;
60  float *dst;
62  src = input->data;
63  dst = output->data;
64  if (params->input0_broadcast || params->input1_broadcast) {
65  for (int i = 0; i < dims_count; ++i) {
66  dst[i] = pfun(params->v, src[i]);
67  }
68  } else {
69  const DnnOperand *input1 = &operands[input_operand_indexes[1]];
70  const float *src1 = input1->data;
71  for (int i = 0; i < dims_count; ++i) {
72  dst[i] = pfun(src[i], src1[i]);
73  }
74  }
75 }
76 static void math_binary_not_commutative(FunType pfun, const DnnLayerMathBinaryParams *params, const DnnOperand *input, DnnOperand *output, DnnOperand *operands, const int32_t *input_operand_indexes)
77 {
78  int dims_count;
79  const float *src;
80  float *dst;
82  src = input->data;
83  dst = output->data;
84  if (params->input0_broadcast) {
85  for (int i = 0; i < dims_count; ++i) {
86  dst[i] = pfun(params->v, src[i]);
87  }
88  } else if (params->input1_broadcast) {
89  for (int i = 0; i < dims_count; ++i) {
90  dst[i] = pfun(src[i], params->v);
91  }
92  } else {
93  const DnnOperand *input1 = &operands[input_operand_indexes[1]];
94  const float *src1 = input1->data;
95  for (int i = 0; i < dims_count; ++i) {
96  dst[i] = pfun(src[i], src1[i]);
97  }
98  }
99 }
100 int ff_dnn_load_layer_math_binary(Layer *layer, AVIOContext *model_file_context, int file_size, int operands_num)
101 {
102  DnnLayerMathBinaryParams params = { 0 };
103  int dnn_size = 0;
104  int input_index = 0;
105 
106  params.bin_op = (int32_t)avio_rl32(model_file_context);
107  dnn_size += 4;
108 
109  params.input0_broadcast = (int32_t)avio_rl32(model_file_context);
110  dnn_size += 4;
111  if (params.input0_broadcast) {
112  params.v = av_int2float(avio_rl32(model_file_context));
113  } else {
114  layer->input_operand_indexes[input_index] = (int32_t)avio_rl32(model_file_context);
115  if (layer->input_operand_indexes[input_index] >= operands_num) {
116  return 0;
117  }
118  input_index++;
119  }
120  dnn_size += 4;
121 
122  params.input1_broadcast = (int32_t)avio_rl32(model_file_context);
123  dnn_size += 4;
124  if (params.input1_broadcast) {
125  params.v = av_int2float(avio_rl32(model_file_context));
126  } else {
127  layer->input_operand_indexes[input_index] = (int32_t)avio_rl32(model_file_context);
128  if (layer->input_operand_indexes[input_index] >= operands_num) {
129  return 0;
130  }
131  input_index++;
132  }
133  dnn_size += 4;
134 
135  layer->output_operand_index = (int32_t)avio_rl32(model_file_context);
136  dnn_size += 4;
137 
138  if (layer->output_operand_index >= operands_num) {
139  return 0;
140  }
141  layer->params = av_memdup(&params, sizeof(params));
142  if (!layer->params)
143  return 0;
144 
145  return dnn_size;
146 }
147 
148 int ff_dnn_execute_layer_math_binary(DnnOperand *operands, const int32_t *input_operand_indexes,
149  int32_t output_operand_index, const void *parameters, NativeContext *ctx)
150 {
151  const DnnOperand *input = &operands[input_operand_indexes[0]];
152  DnnOperand *output = &operands[output_operand_index];
153  const DnnLayerMathBinaryParams *params = parameters;
154 
155  for (int i = 0; i < 4; ++i)
156  output->dims[i] = input->dims[i];
157 
158  output->data_type = input->data_type;
160  if (output->length <= 0) {
161  av_log(ctx, AV_LOG_ERROR, "The output data length overflow\n");
162  return DNN_ERROR;
163  }
164  output->data = av_realloc(output->data, output->length);
165  if (!output->data) {
166  av_log(ctx, AV_LOG_ERROR, "Failed to reallocate memory for output\n");
167  return DNN_ERROR;
168  }
169 
170  switch (params->bin_op) {
171  case DMBO_SUB:
172  math_binary_not_commutative(sub, params, input, output, operands, input_operand_indexes);
173  return 0;
174  case DMBO_ADD:
175  math_binary_commutative(add, params, input, output, operands, input_operand_indexes);
176  return 0;
177  case DMBO_MUL:
178  math_binary_commutative(mul, params, input, output, operands, input_operand_indexes);
179  return 0;
180  case DMBO_REALDIV:
181  math_binary_not_commutative(realdiv, params, input, output, operands, input_operand_indexes);
182  return 0;
183  case DMBO_MINIMUM:
184  math_binary_commutative(minimum, params, input, output, operands, input_operand_indexes);
185  return 0;
186  case DMBO_FLOORMOD:
187  math_binary_not_commutative(floormod, params, input, output, operands, input_operand_indexes);
188  return 0;
189  default:
190  av_log(ctx, AV_LOG_ERROR, "Unmatch math binary operator\n");
191  return DNN_ERROR;
192  }
193 }
DnnLayerMathBinaryParams::input0_broadcast
int input0_broadcast
Definition: dnn_backend_native_layer_mathbinary.h:45
sub
static float sub(float src0, float src1)
Definition: dnn_backend_native_layer_mathbinary.c:31
output
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
Definition: filter_design.txt:225
DnnLayerMathBinaryParams
Definition: dnn_backend_native_layer_mathbinary.h:43
DnnLayerMathBinaryParams::v
float v
Definition: dnn_backend_native_layer_mathbinary.h:47
DnnLayerMathBinaryParams::input1_broadcast
int input1_broadcast
Definition: dnn_backend_native_layer_mathbinary.h:46
floormod
static float floormod(float src0, float src1)
Definition: dnn_backend_native_layer_mathbinary.c:51
av_memdup
void * av_memdup(const void *p, size_t size)
Duplicate a buffer with av_malloc().
Definition: mem.c:311
dnn_backend_native_layer_mathbinary.h
realdiv
static float realdiv(float src0, float src1)
Definition: dnn_backend_native_layer_mathbinary.c:43
av_int2float
static av_always_inline float av_int2float(uint32_t i)
Reinterpret a 32-bit integer as a float.
Definition: intfloat.h:40
ff_calculate_operand_data_length
int32_t ff_calculate_operand_data_length(const DnnOperand *oprd)
Definition: dnn_backend_native.c:499
AV_LOG_ERROR
#define AV_LOG_ERROR
Something went wrong and cannot losslessly be recovered.
Definition: log.h:180
DnnOperand::data
void * data
data pointer with data length in bytes.
Definition: dnn_backend_native.h:104
ctx
AVFormatContext * ctx
Definition: movenc.c:48
math_binary_not_commutative
static void math_binary_not_commutative(FunType pfun, const DnnLayerMathBinaryParams *params, const DnnOperand *input, DnnOperand *output, DnnOperand *operands, const int32_t *input_operand_indexes)
Definition: dnn_backend_native_layer_mathbinary.c:76
mul
static float mul(float src0, float src1)
Definition: dnn_backend_native_layer_mathbinary.c:39
Layer::params
void * params
Definition: dnn_backend_native.h:66
av_realloc
void * av_realloc(void *ptr, size_t size)
Allocate, reallocate, or free a block of memory.
Definition: mem.c:152
src
#define src
Definition: vp8dsp.c:255
DMBO_MUL
@ DMBO_MUL
Definition: dnn_backend_native_layer_mathbinary.h:36
DMBO_MINIMUM
@ DMBO_MINIMUM
Definition: dnn_backend_native_layer_mathbinary.h:38
avio_rl32
unsigned int avio_rl32(AVIOContext *s)
Definition: aviobuf.c:759
minimum
static float minimum(float src0, float src1)
Definition: dnn_backend_native_layer_mathbinary.c:47
AVIOContext
Bytestream IO Context.
Definition: avio.h:161
Layer::output_operand_index
int32_t output_operand_index
Definition: dnn_backend_native.h:65
NativeContext
Definition: dnn_backend_native.h:118
Layer
Definition: dnn_backend_native.h:57
Layer::input_operand_indexes
int32_t input_operand_indexes[4]
a layer can have multiple inputs and one output.
Definition: dnn_backend_native.h:64
DMBO_ADD
@ DMBO_ADD
Definition: dnn_backend_native_layer_mathbinary.h:35
DMBO_FLOORMOD
@ DMBO_FLOORMOD
Definition: dnn_backend_native_layer_mathbinary.h:39
dnn_backend_native.h
input
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
Definition: filter_design.txt:172
src0
#define src0
Definition: h264pred.c:139
src1
#define src1
Definition: h264pred.c:140
ff_dnn_load_layer_math_binary
int ff_dnn_load_layer_math_binary(Layer *layer, AVIOContext *model_file_context, int file_size, int operands_num)
Definition: dnn_backend_native_layer_mathbinary.c:100
i
#define i(width, name, range_min, range_max)
Definition: cbs_h2645.c:271
FFMIN
#define FFMIN(a, b)
Definition: macros.h:49
DNN_ERROR
@ DNN_ERROR
Definition: dnn_interface.h:33
math_binary_commutative
static void math_binary_commutative(FunType pfun, const DnnLayerMathBinaryParams *params, const DnnOperand *input, DnnOperand *output, DnnOperand *operands, const int32_t *input_operand_indexes)
Definition: dnn_backend_native_layer_mathbinary.c:56
DMBO_SUB
@ DMBO_SUB
Definition: dnn_backend_native_layer_mathbinary.h:34
DnnOperand
Definition: dnn_backend_native.h:69
ff_calculate_operand_dims_count
int32_t ff_calculate_operand_dims_count(const DnnOperand *oprd)
Definition: dnn_backend_native.c:490
DMBO_REALDIV
@ DMBO_REALDIV
Definition: dnn_backend_native_layer_mathbinary.h:37
ff_dnn_execute_layer_math_binary
int ff_dnn_execute_layer_math_binary(DnnOperand *operands, const int32_t *input_operand_indexes, int32_t output_operand_index, const void *parameters, NativeContext *ctx)
Definition: dnn_backend_native_layer_mathbinary.c:148
add
static float add(float src0, float src1)
Definition: dnn_backend_native_layer_mathbinary.c:35
int32_t
int32_t
Definition: audioconvert.c:56
av_log
#define av_log(a,...)
Definition: tableprint_vlc.h:28
DnnLayerMathBinaryParams::bin_op
DNNMathBinaryOperation bin_op
Definition: dnn_backend_native_layer_mathbinary.h:44
int
int
Definition: ffmpeg_filter.c:156
FunType
float(* FunType)(float src0, float src1)
Definition: dnn_backend_native_layer_mathbinary.c:29