ONE - On-device Neural Engine
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Split.h
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1/*
2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 */
16
17#ifndef LUCI_INTERPRETER_KERNELS_SPLIT_IMPL_H
18#define LUCI_INTERPRETER_KERNELS_SPLIT_IMPL_H
19
20#include "Builders.h"
21#include "Utils.h"
22
23namespace luci_interpreter
24{
25
26template <typename T>
27void splitImpl(const circle::Operator *cur_op, const circle::Tensor *input, int axis_value,
28 BaseRuntimeGraph *runtime_graph)
29{
30 const int output_count = cur_op->outputs()->size();
31
32 const auto output0_index = cur_op->outputs()->operator[](0);
33 assert(output0_index != -1);
34
35 const auto output0 = runtime_graph->getCircleTensorByIndex(output0_index);
36 assert(output0 != nullptr);
37
38 const int split_dimensions = Tensor::num_dims(input);
39
40 assert(axis_value < split_dimensions);
41 assert(Tensor::num_dims(output0) == split_dimensions);
42
43 int64_t outer_size = 1;
44 for (int i = 0; i < axis_value; ++i)
45 {
46 outer_size *= Tensor::dim(input, i);
47 }
48
49 int64_t base_inner_size = 1;
50 for (int i = axis_value + 1; i < split_dimensions; ++i)
51 {
52 base_inner_size *= Tensor::dim(input, i);
53 }
54
55 const T *input_ptr = kernels::getTensorData<T>(runtime_graph->getDataByTensor(input));
56 assert(input_ptr != nullptr);
57 for (int k = 0; k < outer_size; ++k)
58 {
59 for (int i = 0; i < output_count; ++i)
60 {
61 const auto output_index = cur_op->outputs()->operator[](i);
62 assert(output_index != -1);
63
64 const auto output = runtime_graph->getCircleTensorByIndex(output_index);
65 assert(output != nullptr);
66
67 T *output_data = kernels::getTensorData<T>(runtime_graph->getDataByTensor(output));
68 assert(output_data != nullptr);
69 const int copy_size = Tensor::dim(output, axis_value) * base_inner_size;
70 T *output_ptr = output_data + k * copy_size;
71 assert(output_ptr != nullptr);
72 for (int j = 0; j < copy_size; ++j)
73 output_ptr[j] = input_ptr[j];
74 input_ptr += copy_size;
75 }
76 }
77}
78
79} // namespace luci_interpreter
80
81#endif // LUCI_INTERPRETER_KERNELS_SPLIT_IMPL_H
const circle::Tensor * getCircleTensorByIndex(int32_t index)
uint8_t * getDataByTensor(const circle::Tensor *raw_tensor)
void splitImpl(const circle::Operator *cur_op, const circle::Tensor *input, int axis_value, BaseRuntimeGraph *runtime_graph)
Definition Split.h:27
This file contains utility macro.
const loco::Dimension & dim(uint32_t axis) const
Definition Tensor.h:44