1 /*
2  * Copyright (C) 2018 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 #define LOG_TAG "Operations"
18 
19 #include "Split.h"
20 
21 #include <vector>
22 
23 #include "Operations.h"
24 #include "OperationsExecutionUtils.h"
25 #include "Tracing.h"
26 
27 namespace android {
28 namespace nn {
29 
30 template <typename Scalar>
splitGeneric(const Scalar * inputData,const Shape & inputShape,int32_t axis,const std::vector<Scalar * > * outputDataPtrs,const std::vector<Shape> & outputShapes)31 bool splitGeneric(const Scalar* inputData, const Shape& inputShape, int32_t axis,
32                   const std::vector<Scalar*>* outputDataPtrs,
33                   const std::vector<Shape>& outputShapes) {
34     NN_CHECK(handleNegativeAxis(inputShape, &axis));
35     int outerSize = 1;
36     for (int i = 0; i < axis; ++i) {
37         outerSize *= inputShape.dimensions[i];
38     }
39     int baseInnerSize = 1;
40     int concatDimensions = getNumberOfDimensions(inputShape);
41     for (int i = axis + 1; i < concatDimensions; ++i) {
42         baseInnerSize *= inputShape.dimensions[i];
43     }
44 
45     const Scalar* inputPtr = inputData;
46     for (int k = 0; k < outerSize; k++) {
47         for (size_t i = 0; i < outputDataPtrs->size(); ++i) {
48             const int copySize = outputShapes[i].dimensions[axis] * baseInnerSize;
49             memcpy(outputDataPtrs->at(i) + k * copySize, inputPtr, copySize * sizeof(Scalar));
50             inputPtr += copySize;
51         }
52     }
53 
54     return true;
55 }
56 
splitFloat16(const _Float16 * inputData,const Shape & inputShape,int32_t axis,const std::vector<_Float16 * > * outputDataPtrs,const std::vector<Shape> & outputShapes)57 bool splitFloat16(const _Float16* inputData, const Shape& inputShape, int32_t axis,
58                   const std::vector<_Float16*>* outputDataPtrs,
59                   const std::vector<Shape>& outputShapes) {
60     NNTRACE_COMP("splitFloat16");
61     return splitGeneric<_Float16>(inputData, inputShape, axis, outputDataPtrs, outputShapes);
62 }
63 
splitFloat32(const float * inputData,const Shape & inputShape,int32_t axis,const std::vector<float * > * outputDataPtrs,const std::vector<Shape> & outputShapes)64 bool splitFloat32(const float* inputData, const Shape& inputShape, int32_t axis,
65                   const std::vector<float*>* outputDataPtrs,
66                   const std::vector<Shape>& outputShapes) {
67     NNTRACE_COMP("splitFloat32");
68     return splitGeneric<float>(inputData, inputShape, axis, outputDataPtrs, outputShapes);
69 }
70 
splitQuant8(const uint8_t * inputData,const Shape & inputShape,int32_t axis,const std::vector<uint8_t * > * outputDataPtrs,const std::vector<Shape> & outputShapes)71 bool splitQuant8(const uint8_t* inputData, const Shape& inputShape, int32_t axis,
72                  const std::vector<uint8_t*>* outputDataPtrs,
73                  const std::vector<Shape>& outputShapes) {
74     NNTRACE_COMP("splitQuant8");
75     return splitGeneric<uint8_t>(inputData, inputShape, axis, outputDataPtrs, outputShapes);
76 }
77 
splitQuant8Signed(const int8_t * inputData,const Shape & inputShape,int32_t axis,const std::vector<int8_t * > * outputDataPtrs,const std::vector<Shape> & outputShapes)78 bool splitQuant8Signed(const int8_t* inputData, const Shape& inputShape, int32_t axis,
79                        const std::vector<int8_t*>* outputDataPtrs,
80                        const std::vector<Shape>& outputShapes) {
81     NNTRACE_COMP("splitQuant8Signed");
82     return splitGeneric<int8_t>(inputData, inputShape, axis, outputDataPtrs, outputShapes);
83 }
84 
splitInt32(const int32_t * inputData,const Shape & inputShape,int32_t axis,const std::vector<int32_t * > * outputDataPtrs,const std::vector<Shape> & outputShapes)85 bool splitInt32(const int32_t* inputData, const Shape& inputShape, int32_t axis,
86                 const std::vector<int32_t*>* outputDataPtrs,
87                 const std::vector<Shape>& outputShapes) {
88     NNTRACE_COMP("splitInt32");
89     return splitGeneric<int32_t>(inputData, inputShape, axis, outputDataPtrs, outputShapes);
90 }
91 
92 }  // namespace nn
93 }  // namespace android
94