1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
|
/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
template <typename Scalar>
void Concatenation(int concat_dim, const Scalar* const* input_data,
const Dims<4>* input_dims, int inputs_count,
Scalar* output_data, const Dims<4>& output_dims) {
int concat_size = 0;
for (int i = 0; i < inputs_count; i++) {
for (int j = 0; j < 4; j++) {
if (j != concat_dim) {
MatchingArraySize(input_dims[i], j, output_dims, j);
}
}
concat_size += ArraySize(input_dims[i], concat_dim);
}
TFLITE_DCHECK_EQ(concat_size, ArraySize(output_dims, concat_dim));
TFLITE_DCHECK(IsPackedWithoutStrides(output_dims));
int outer_size = 1;
for (int i = concat_dim + 1; i < 4; i++) {
outer_size *= output_dims.sizes[i];
}
Scalar* output_ptr = output_data;
for (int k = 0; k < outer_size; k++) {
for (int i = 0; i < inputs_count; ++i) {
const int copy_size =
input_dims[i].sizes[concat_dim] * input_dims[i].strides[concat_dim];
memcpy(output_ptr, input_data[i] + k * copy_size,
copy_size * sizeof(Scalar));
output_ptr += copy_size;
}
}
}
|
