ONE - On-device Neural Engine
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FloorMod.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
18#include "OMStatus.h"
21#include "core/OMUtils.h"
22#include "PALFloorMod.h"
23
24using namespace onert_micro;
25using namespace onert_micro::core;
26
27// NOTE: doesnt currently support dynamic shapes
28OMStatus onert_micro::execute::execute_kernel_CircleFloorMod(const OMExecuteArgs &execute_args)
29{
30 uint8_t *input_data1;
31 uint8_t *input_data2;
32 uint8_t *output_data;
33
34 core::OMRuntimeShape input_shape1;
35 core::OMRuntimeShape input_shape2;
37
38 circle::TensorType input1_type;
39
40 OMStatus status =
41 execute::readKernelDataTISO(execute_args, input_data1, input_data2, output_data, input_shape1,
42 input_shape2, output_shape, input1_type);
43
44 switch (input1_type)
45 {
46#ifndef DIS_FLOAT
47 case circle::TensorType_FLOAT32:
48 {
49 // Check the denominator
50 for (int i = 0; i < input_shape2.flatSize(); ++i)
51 {
52 utils::checkCondition(core::utils::castInputData<float>(input_data2)[i] != 0);
53 }
54 // check that input and output dimensions are equal
55 if (input_shape1 == input_shape2)
56 {
57 const int flat_size = input_shape1.flatSize();
58 pal::FloorMod(flat_size, core::utils::castInputData<float>(input_data1),
59 core::utils::castInputData<float>(input_data2),
60 core::utils::castOutputData<float>(output_data));
61 }
62 else
63 {
64 pal::BroadcastFloorMod4DSlow(input_shape1, core::utils::castInputData<float>(input_data1),
65 input_shape2, core::utils::castInputData<float>(input_data2),
66 output_shape, core::utils::castOutputData<float>(output_data));
67 }
68 }
69 break;
70#endif // DIS_FLOAT
71 default:
72 assert(false && "Unsupported type.");
73 }
74
75 return status;
76}
const luci_interpreter::RuntimeShape output_shape
OMStatus readKernelDataTISO(const OMExecuteArgs &execute_args, uint8_t *&input_data1, uint8_t *&input_data2, uint8_t *&output_data, core::OMRuntimeShape &input1_shape_ref, core::OMRuntimeShape &input2_shape_ref, core::OMRuntimeShape &output_shape_ref, circle::TensorType &tensor_type)