FFmpeg
dnn_backend_native_layer_mathunary.c
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1 /*
2  * Copyright (c) 2020
3  *
4  * This file is part of FFmpeg.
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19  */
20 
21 /**
22  * @file
23  * DNN native backend implementation.
24  */
25 
26 #include <math.h>
27 
28 #include "dnn_backend_native.h"
29 #include "libavutil/avassert.h"
31 
32 int dnn_load_layer_math_unary(Layer *layer, AVIOContext *model_file_context, int file_size, int operands_num)
33 {
35  int dnn_size = 0;
36  params = av_malloc(sizeof(*params));
37  if(!params)
38  return 0;
39 
40  params->un_op = (int32_t)avio_rl32(model_file_context);
41  dnn_size += 4;
42  layer->params = params;
43  layer->input_operand_indexes[0] = (int32_t)avio_rl32(model_file_context);
44  layer->output_operand_index = (int32_t)avio_rl32(model_file_context);
45  dnn_size += 8;
46 
47  if (layer->input_operand_indexes[0] >= operands_num || layer->output_operand_index >= operands_num) {
48  return 0;
49  }
50 
51  return dnn_size;
52 
53 }
54 
55 int dnn_execute_layer_math_unary(DnnOperand *operands, const int32_t *input_operand_indexes,
56  int32_t output_operand_index, const void *parameters, NativeContext *ctx)
57 {
58  const DnnOperand *input = &operands[input_operand_indexes[0]];
59  DnnOperand *output = &operands[output_operand_index];
60  const DnnLayerMathUnaryParams *params = (const DnnLayerMathUnaryParams *)parameters;
61  int dims_count;
62  const float *src;
63  float *dst;
64 
65  for (int i = 0; i < 4; ++i)
66  output->dims[i] = input->dims[i];
67 
68  output->data_type = input->data_type;
69  output->length = calculate_operand_data_length(output);
70  if (output->length <= 0) {
71  av_log(ctx, AV_LOG_ERROR, "The output data length overflow\n");
72  return DNN_ERROR;
73  }
74  output->data = av_realloc(output->data, output->length);
75  if (!output->data) {
76  av_log(ctx, AV_LOG_ERROR, "Failed to reallocate memory for output\n");
77  return DNN_ERROR;
78  }
79 
80  dims_count = calculate_operand_dims_count(output);
81  src = input->data;
82  dst = output->data;
83 
84  switch (params->un_op) {
85  case DMUO_ABS:
86  for (int i = 0; i < dims_count; ++i)
87  dst[i] = FFABS(src[i]);
88  return 0;
89  case DMUO_SIN:
90  for (int i = 0; i < dims_count; ++i)
91  dst[i] = sin(src[i]);
92  return 0;
93  case DMUO_COS:
94  for (int i = 0; i < dims_count; ++i)
95  dst[i] = cos(src[i]);
96  return 0;
97  case DMUO_TAN:
98  for (int i = 0; i < dims_count; ++i)
99  dst[i] = tan(src[i]);
100  return 0;
101  case DMUO_ASIN:
102  for (int i = 0; i < dims_count; ++i)
103  dst[i] = asin(src[i]);
104  return 0;
105  case DMUO_ACOS:
106  for (int i = 0; i < dims_count; ++i)
107  dst[i] = acos(src[i]);
108  return 0;
109  case DMUO_ATAN:
110  for (int i = 0; i < dims_count; ++i)
111  dst[i] = atan(src[i]);
112  return 0;
113  case DMUO_SINH:
114  for (int i = 0; i < dims_count; ++i)
115  dst[i] = sinh(src[i]);
116  return 0;
117  case DMUO_COSH:
118  for (int i = 0; i < dims_count; ++i)
119  dst[i] = cosh(src[i]);
120  return 0;
121  case DMUO_TANH:
122  for (int i = 0; i < dims_count; ++i)
123  dst[i] = tanh(src[i]);
124  return 0;
125  case DMUO_ASINH:
126  for (int i = 0; i < dims_count; ++i)
127  dst[i] = asinh(src[i]);
128  return 0;
129  case DMUO_ACOSH:
130  for (int i = 0; i < dims_count; ++i)
131  dst[i] = acosh(src[i]);
132  return 0;
133  case DMUO_ATANH:
134  for (int i = 0; i < dims_count; ++i)
135  dst[i] = atanh(src[i]);
136  return 0;
137  case DMUO_CEIL:
138  for (int i = 0; i < dims_count; ++i)
139  dst[i] = ceil(src[i]);
140  return 0;
141  case DMUO_FLOOR:
142  for (int i = 0; i < dims_count; ++i)
143  dst[i] = floor(src[i]);
144  return 0;
145  case DMUO_ROUND:
146  for (int i = 0; i < dims_count; ++i)
147  dst[i] = round(src[i]);
148  return 0;
149  default:
150  av_log(ctx, AV_LOG_ERROR, "Unmatch math unary operator\n");
151  return DNN_ERROR;
152  }
153 }
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:134
DNN inference functions interface for native backend.
int32_t calculate_operand_dims_count(const DnnOperand *oprd)
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 av_log(a,...)
#define src
Definition: vp8dsp.c:254
#define AV_LOG_ERROR
Something went wrong and cannot losslessly be recovered.
Definition: log.h:194
unsigned int avio_rl32(AVIOContext *s)
Definition: aviobuf.c:752
int dnn_execute_layer_math_unary(DnnOperand *operands, const int32_t *input_operand_indexes, int32_t output_operand_index, const void *parameters, NativeContext *ctx)
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().
static av_always_inline av_const double round(double x)
Definition: libm.h:444
int32_t dims[4]
there are two memory layouts, NHWC or NCHW, so we use dims, dims[0] is Number.
int32_t
AVFormatContext * ctx
Definition: movenc.c:48
#define FFABS(a)
Absolute value, Note, INT_MIN / INT64_MIN result in undefined behavior as they are not representable ...
Definition: common.h:72
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
DNN inference functions interface for native backend.
int dnn_load_layer_math_unary(Layer *layer, AVIOContext *model_file_context, int file_size, int operands_num)
int32_t calculate_operand_data_length(const DnnOperand *oprd)
void * params
int i
Definition: input.c:407
int32_t output_operand_index