1 /*
2 * Copyright (C) 2017 The Android Open Source Project
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 // Contains the implementation of the operations.
18
19 #define LOG_TAG "Operations"
20
21 #include "Operations.h"
22 #include "OperationsUtils.h"
23
24 #include "internal/optimized/optimized_ops.h"
25
26 namespace android {
27 namespace nn {
28
reshapeGeneric(const void * inputData,const Shape & inputShape,void * outputData,const Shape & outputShape)29 bool reshapeGeneric(const void* inputData, const Shape& inputShape,
30 void* outputData, const Shape& outputShape) {
31 size_t count = sizeOfData(inputShape.type, inputShape.dimensions);
32 memcpy(outputData, inputData, count);
33 return true;
34 }
35
resizeBilinearFloat32(const float * inputData,const Shape & inputShape,float * outputData,const Shape & outputShape)36 bool resizeBilinearFloat32(const float* inputData, const Shape& inputShape,
37 float* outputData, const Shape& outputShape) {
38 int32_t height = (int32_t) getSizeOfDimension(outputShape, 1);
39 int32_t width = (int32_t) getSizeOfDimension(outputShape, 2);
40
41 int32_t outDimData[2] = {height, width};
42 // We have to fake a tensor here, to satisfy ResizeBilinear().
43 Shape outDimShape;
44 outDimShape.dimensions = {1, 1, 1, 2};
45
46 optimized_ops::ResizeBilinear(
47 inputData, convertShapeToDims(inputShape),
48 outDimData, convertShapeToDims(outDimShape),
49 outputData, convertShapeToDims(outputShape));
50 return true;
51 }
52
depthToSpaceGeneric(const uint8_t * inputData,const Shape & inputShape,int32_t blockSize,uint8_t * outputData,const Shape & outputShape)53 bool depthToSpaceGeneric(const uint8_t* inputData, const Shape& inputShape,
54 int32_t blockSize,
55 uint8_t* outputData, const Shape& outputShape) {
56 if (inputShape.type == OperandType::TENSOR_FLOAT32) {
57 optimized_ops::DepthToSpace(
58 reinterpret_cast<const float*>(inputData),
59 convertShapeToDims(inputShape),
60 blockSize,
61 reinterpret_cast<float*>(outputData),
62 convertShapeToDims(outputShape));
63 } else if (inputShape.type == OperandType::TENSOR_QUANT8_ASYMM) {
64 optimized_ops::DepthToSpace(
65 reinterpret_cast<const uint8_t*>(inputData),
66 convertShapeToDims(inputShape),
67 blockSize,
68 reinterpret_cast<uint8_t*>(outputData),
69 convertShapeToDims(outputShape));
70 } else {
71 LOG(ERROR) << "Unsupported data type";
72 return false;
73 }
74 return true;
75 }
76
spaceToDepthGeneric(const uint8_t * inputData,const Shape & inputShape,int32_t blockSize,uint8_t * outputData,const Shape & outputShape)77 bool spaceToDepthGeneric(const uint8_t* inputData, const Shape& inputShape,
78 int32_t blockSize,
79 uint8_t* outputData, const Shape& outputShape) {
80 if (inputShape.type == OperandType::TENSOR_FLOAT32) {
81 optimized_ops::SpaceToDepth(
82 reinterpret_cast<const float*>(inputData),
83 convertShapeToDims(inputShape),
84 blockSize,
85 reinterpret_cast<float*>(outputData),
86 convertShapeToDims(outputShape));
87 } else if (inputShape.type == OperandType::TENSOR_QUANT8_ASYMM) {
88 optimized_ops::SpaceToDepth(
89 reinterpret_cast<const uint8_t*>(inputData),
90 convertShapeToDims(inputShape),
91 blockSize,
92 reinterpret_cast<uint8_t*>(outputData),
93 convertShapeToDims(outputShape));
94 } else {
95 LOG(ERROR) << "Unsupported data type";
96 return false;
97 }
98 return true;
99 }
100
101 } // namespace nn
102 } // namespace android
103