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
35OMStatus onert_micro::import::configure_kernel_CircleSplit(const OMConfigureArgs &config_args)
36{
37 OMRuntimeContext &runtime_context = config_args.runtime_context;
38 OMRuntimeStorage &runtime_storage = config_args.runtime_storage;
39 uint16_t op_index = config_args.kernel_index;
40
42
43 OMStatus status = runtime_kernel.readKernel(op_index, runtime_context);
44 if (status != Ok)
45 return status;
46
47 const circle::Tensor *input = runtime_kernel.inputs[inputTensorIdx];
48 const circle::Tensor *axis = runtime_kernel.inputs[axisTensorIdx];
49 const circle::Tensor *output = runtime_kernel.outputs[outputTensorIdx];
50
51 assert(input != nullptr);
52 assert(axis != nullptr);
53 assert(output != nullptr);
54
55 status = utils::checkCondition(output->type() == input->type());
56 if (status != Ok)
57 return status;
58
59 status = utils::checkCondition(axis->type() == circle::TensorType_INT32);
60 if (status != Ok)
61 return status;
62
63 // Check it is scalar
64 status = utils::checkCondition(OMRuntimeShape(axis).flatSize() == 1);
65 if (status != Ok)
66 return status;
67
68 // Check axis value
69 runtime_kernel.getDataFromStorage(op_index, runtime_storage, runtime_context);
70 auto *axis_data = reinterpret_cast<int32_t *>(runtime_kernel.inputs_data[axisTensorIdx]);
71 status = utils::checkCondition(axis_data != nullptr);
72 if (status != Ok)
73 return status;
74
75 int32_t axis_value = axis_data[0];
76
77 OMRuntimeShape input_shape(input);
78 if (axis_value < 0)
79 {
80 axis_value += input_shape.dimensionsCount() + 1;
81 }
82
83 status = utils::checkCondition(axis_value <= input_shape.dimensionsCount() and axis_value >= 0);
84 if (status != Ok)
85 return status;
86
87 return status;
88}
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