Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame^] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "StridedSlice.hpp" |
| 7 | |
| 8 | #include <boost/assert.hpp> |
| 9 | #include <boost/numeric/conversion/cast.hpp> |
| 10 | |
| 11 | namespace armnn |
| 12 | { |
| 13 | |
| 14 | void PadParams(StridedSliceDescriptor& p, unsigned int dimCount) |
| 15 | { |
| 16 | BOOST_ASSERT_MSG(dimCount <= 4, "Expected input with at most 4 dimensions"); |
| 17 | |
| 18 | const unsigned int beginIndicesCount = |
| 19 | boost::numeric_cast<unsigned int>(p.m_Begin.size()); |
| 20 | |
| 21 | BOOST_ASSERT(dimCount >= beginIndicesCount); |
| 22 | const unsigned int padCount = dimCount - beginIndicesCount; |
| 23 | |
| 24 | p.m_Begin.resize(dimCount); |
| 25 | p.m_End.resize(dimCount); |
| 26 | p.m_Stride.resize(dimCount); |
| 27 | |
| 28 | for (unsigned int i = beginIndicesCount; i > 0; --i) |
| 29 | { |
| 30 | p.m_Stride[i + padCount - 1] = p.m_Stride[i - 1]; |
| 31 | p.m_Begin[i + padCount - 1] = p.m_Begin[i - 1]; |
| 32 | p.m_End[i + padCount - 1] = p.m_End[i - 1]; |
| 33 | } |
| 34 | |
| 35 | for (unsigned int i = 0; i < padCount; ++i) |
| 36 | { |
| 37 | p.m_Stride[i] = 1; |
| 38 | p.m_Begin[i] = 0; |
| 39 | p.m_End[i] = 0; |
| 40 | } |
| 41 | |
| 42 | p.m_ShrinkAxisMask <<= padCount; |
| 43 | p.m_EllipsisMask <<= padCount; |
| 44 | p.m_NewAxisMask <<= padCount; |
| 45 | p.m_BeginMask <<= padCount; |
| 46 | p.m_EndMask <<= padCount; |
| 47 | p.m_BeginMask |= (1 << padCount) - 1; |
| 48 | p.m_EndMask |= (1 << padCount) - 1; |
| 49 | } |
| 50 | |
| 51 | bool LoopCondition(int index, int stop, int stride) |
| 52 | { |
| 53 | return stride > 0 ? index >= stop : index <= stop; |
| 54 | } |
| 55 | |
| 56 | TensorShape ExtendShape(const TensorShape& inputShape, |
| 57 | unsigned int newNumDimensions) |
| 58 | { |
| 59 | if (inputShape.GetNumDimensions() >= newNumDimensions) |
| 60 | { |
| 61 | return inputShape; |
| 62 | } |
| 63 | |
| 64 | unsigned int newSizes[newNumDimensions]; |
| 65 | |
| 66 | unsigned int diff = newNumDimensions - inputShape.GetNumDimensions(); |
| 67 | |
| 68 | for (unsigned int i = 0; i < diff; i++) |
| 69 | { |
| 70 | newSizes[i] = 1; |
| 71 | } |
| 72 | |
| 73 | for (unsigned int i = diff; i < newNumDimensions; i++) |
| 74 | { |
| 75 | newSizes[i] = inputShape[i - diff]; |
| 76 | } |
| 77 | |
| 78 | return TensorShape(newNumDimensions, newSizes); |
| 79 | } |
| 80 | |
| 81 | template<typename T> |
| 82 | void StridedSlice(const TensorInfo& inputInfo, |
| 83 | const TensorInfo& outputInfo, |
| 84 | const StridedSliceDescriptor& params, |
| 85 | const T* inputData, |
| 86 | T* outputData) |
| 87 | { |
| 88 | const TensorShape inputShape = |
| 89 | ExtendShape(inputInfo.GetShape(), 4); |
| 90 | |
| 91 | StridedSliceDescriptor paddedParams = params; |
| 92 | |
| 93 | // Pad parameters to 4 dimensions |
| 94 | PadParams(paddedParams, 4); |
| 95 | |
| 96 | const int start0 = |
| 97 | paddedParams.GetStartForAxis(inputShape, 0); |
| 98 | const int stop0 = |
| 99 | paddedParams.GetStopForAxis(inputShape, 0, start0); |
| 100 | |
| 101 | const int start1 = |
| 102 | paddedParams.GetStartForAxis(inputShape, 1); |
| 103 | const int stop1 = |
| 104 | paddedParams.GetStopForAxis(inputShape, 1, start1); |
| 105 | |
| 106 | const int start2 = |
| 107 | paddedParams.GetStartForAxis(inputShape, 2); |
| 108 | const int stop2 = |
| 109 | paddedParams.GetStopForAxis(inputShape, 2, start2); |
| 110 | |
| 111 | const int start3 = |
| 112 | paddedParams.GetStartForAxis(inputShape, 3); |
| 113 | const int stop3 = |
| 114 | paddedParams.GetStopForAxis(inputShape, 3, start3); |
| 115 | |
| 116 | T* outPtr = outputData; |
| 117 | |
| 118 | for (int in0 = start0; |
| 119 | !LoopCondition(in0, stop0, paddedParams.m_Stride[0]); |
| 120 | in0 += paddedParams.m_Stride[0]) |
| 121 | { |
| 122 | for (int in1 = start1; |
| 123 | !LoopCondition(in1, stop1, paddedParams.m_Stride[1]); |
| 124 | in1 += paddedParams.m_Stride[1]) |
| 125 | { |
| 126 | for (int in2 = start2; |
| 127 | !LoopCondition(in2, stop2, paddedParams.m_Stride[2]); |
| 128 | in2 += paddedParams.m_Stride[2]) |
| 129 | { |
| 130 | for (int in3 = start3; |
| 131 | !LoopCondition(in3, stop3, paddedParams.m_Stride[3]); |
| 132 | in3 += paddedParams.m_Stride[3]) |
| 133 | { |
| 134 | int dim1 = boost::numeric_cast<int>(inputShape[1]); |
| 135 | int dim2 = boost::numeric_cast<int>(inputShape[2]); |
| 136 | int dim3 = boost::numeric_cast<int>(inputShape[3]); |
| 137 | |
| 138 | int inputOffset = ((in0 * dim1 + in1) * dim2 + in2) * dim3 + in3; |
| 139 | *(outPtr++) = inputData[inputOffset]; |
| 140 | } |
| 141 | } |
| 142 | } |
| 143 | } |
| 144 | } |
| 145 | |
| 146 | template void StridedSlice<float>(const TensorInfo& inputInfo, |
| 147 | const TensorInfo& outputInfo, |
| 148 | const StridedSliceDescriptor& params, |
| 149 | const float* inputData, |
| 150 | float* outData); |
| 151 | |
| 152 | template void StridedSlice<uint8_t>(const TensorInfo& inputInfo, |
| 153 | const TensorInfo& outputInfo, |
| 154 | const StridedSliceDescriptor& params, |
| 155 | const uint8_t* inputData, |
| 156 | uint8_t* outData); |
| 157 | |
| 158 | } //namespace armnn |