ONE - On-device Neural Engine
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Fill.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 input1TensorIdx = 0;
30constexpr uint32_t input2TensorIdx = 1;
31constexpr uint32_t outputTensorIdx = 0;
32
33} // namespace
34
35OMStatus onert_micro::import::configure_kernel_CircleFill(const OMConfigureArgs &config_args)
36{
37 OMRuntimeContext &runtime_context = config_args.runtime_context;
38 uint16_t op_index = config_args.kernel_index;
39
41
42 OMStatus status = runtime_kernel.readKernel(op_index, runtime_context);
43 if (status != Ok)
44 return status;
45
46 const circle::Tensor *input1 = runtime_kernel.inputs[input1TensorIdx];
47 const circle::Tensor *input2 = runtime_kernel.inputs[input2TensorIdx];
48 const circle::Tensor *output = runtime_kernel.outputs[outputTensorIdx];
49
50 assert(input1 != nullptr);
51 assert(input2 != nullptr);
52 assert(output != nullptr);
53
54 status = utils::checkCondition(input1->type() == circle::TensorType_INT32 or
55 input1->type() == circle::TensorType_INT64);
56 if (status != Ok)
57 return status;
58
59 status = utils::checkCondition(input2->type() == output->type());
60 if (status != Ok)
61 return status;
62
63 OMRuntimeShape value_shape(input2);
64 status = utils::checkCondition(value_shape.dimensionsCount() == 0 or value_shape.flatSize() == 1);
65
66 return status;
67}
OMStatus readKernel(uint16_t op_index, core::OMRuntimeContext &runtime_context)
const circle::Tensor * outputs[maxOutputSize]
const circle::Tensor * inputs[maxInputSize]
constexpr uint32_t input1TensorIdx
constexpr uint32_t outputTensorIdx
constexpr uint32_t input2TensorIdx