ONE - On-device Neural Engine
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Split.cpp
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1/*
2 * Copyright (c) 2024 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#include "OMStatus.h"
18
19#include "core/OMUtils.h"
22
23using namespace onert_micro;
24using namespace onert_micro::core;
25
26namespace
27{
28
29constexpr uint32_t axisTensorIdx = 0;
30constexpr uint32_t inputTensorIdx = 1;
31constexpr uint32_t outputTensorIdx = 0;
32
33} // namespace
34
35namespace onert_micro
36{
37namespace import
38{
39
41{
42 OMRuntimeContext &runtime_context = config_args.runtime_context;
43 OMRuntimeStorage &runtime_storage = config_args.runtime_storage;
44 uint16_t op_index = config_args.kernel_index;
45
47
48 OMStatus status = runtime_kernel.readKernel(op_index, runtime_context);
49 if (status != Ok)
50 return status;
51
52 const circle::Tensor *input = runtime_kernel.inputs[inputTensorIdx];
53 const circle::Tensor *axis = runtime_kernel.inputs[axisTensorIdx];
54 const circle::Tensor *output = runtime_kernel.outputs[outputTensorIdx];
55
56 assert(input != nullptr);
57 assert(axis != nullptr);
58 assert(output != nullptr);
59
60 status = utils::checkCondition(output->type() == input->type());
61 if (status != Ok)
62 return status;
63
64 status = utils::checkCondition(axis->type() == circle::TensorType_INT32);
65 if (status != Ok)
66 return status;
67
68 // Check it is scalar
69 status = utils::checkCondition(OMRuntimeShape(axis).flatSize() == 1);
70 if (status != Ok)
71 return status;
72
73 // Check axis value
74 runtime_kernel.getDataFromStorage(op_index, runtime_storage, runtime_context);
75 auto *axis_data = reinterpret_cast<int32_t *>(runtime_kernel.inputs_data[axisTensorIdx]);
76 status = utils::checkCondition(axis_data != nullptr);
77 if (status != Ok)
78 return status;
79
80 int32_t axis_value = axis_data[0];
81
82 OMRuntimeShape input_shape(input);
83 if (axis_value < 0)
84 {
85 axis_value += input_shape.dimensionsCount() + 1;
86 }
87
88 status = utils::checkCondition(axis_value <= input_shape.dimensionsCount() and axis_value >= 0);
89 if (status != Ok)
90 return status;
91
92 return status;
93}
94
95} // namespace import
96} // namespace onert_micro
size_t dimensionsCount() const noexcept
OMStatus getDataFromStorage(uint16_t op_index, core::OMRuntimeStorage &storage, core::OMRuntimeContext &context)
OMStatus readKernel(uint16_t op_index, core::OMRuntimeContext &runtime_context)
const circle::Tensor * outputs[maxOutputSize]
const circle::Tensor * inputs[maxInputSize]
constexpr uint32_t outputTensorIdx
OMStatus configure_kernel_CircleSplit(const OMConfigureArgs &config_args)
Definition Split.cpp:40
core::OMRuntimeContext & runtime_context
core::OMRuntimeStorage & runtime_storage