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