| Aron Virginas-Tar | 92b9f87 | 2019-09-17 17:27:04 +0100 | [diff] [blame^] | 1 | // |
| 2 | // Copyright © 2019 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "Slice.hpp" |
| 7 | |
| 8 | #include <boost/assert.hpp> |
| 9 | #include <boost/core/ignore_unused.hpp> |
| 10 | #include <boost/numeric/conversion/cast.hpp> |
| 11 | |
| 12 | namespace armnn |
| 13 | { |
| 14 | |
| 15 | void Slice(const TensorInfo& inputInfo, |
| 16 | const SliceDescriptor& descriptor, |
| 17 | const void* inputData, |
| 18 | void* outputData, |
| 19 | unsigned int dataTypeSize) |
| 20 | { |
| 21 | const TensorShape& inputShape = inputInfo.GetShape(); |
| 22 | const unsigned int numDims = inputShape.GetNumDimensions(); |
| 23 | |
| 24 | BOOST_ASSERT(descriptor.m_Begin.size() == numDims); |
| 25 | BOOST_ASSERT(descriptor.m_Size.size() == numDims); |
| 26 | |
| 27 | constexpr unsigned int maxNumDims = 4; |
| 28 | BOOST_ASSERT(numDims <= maxNumDims); |
| 29 | |
| 30 | std::vector<unsigned int> paddedInput(4); |
| 31 | std::vector<unsigned int> paddedBegin(4); |
| 32 | std::vector<unsigned int> paddedSize (4); |
| 33 | |
| 34 | const unsigned int numPaddingDims = maxNumDims - numDims; |
| 35 | for (unsigned int i = 0u; i < maxNumDims; ++i) |
| 36 | { |
| 37 | if (i < numPaddingDims) |
| 38 | { |
| 39 | paddedInput[i] = 1u; |
| 40 | paddedBegin[i] = 0u; |
| 41 | paddedSize[i] = 1u; |
| 42 | } |
| 43 | else |
| 44 | { |
| 45 | const unsigned int j = i - numPaddingDims; |
| 46 | paddedInput[i] = inputShape[j]; |
| 47 | paddedBegin[i] = descriptor.m_Begin[j]; |
| 48 | paddedSize[i] = descriptor.m_Size[j]; |
| 49 | } |
| 50 | } |
| 51 | |
| 52 | unsigned int dim0 = paddedInput[0]; |
| 53 | unsigned int dim1 = paddedInput[1]; |
| 54 | unsigned int dim2 = paddedInput[2]; |
| 55 | unsigned int dim3 = paddedInput[3]; |
| 56 | |
| 57 | unsigned int begin0 = paddedBegin[0]; |
| 58 | unsigned int begin1 = paddedBegin[1]; |
| 59 | unsigned int begin2 = paddedBegin[2]; |
| 60 | unsigned int begin3 = paddedBegin[3]; |
| 61 | |
| 62 | unsigned int size0 = paddedSize[0]; |
| 63 | unsigned int size1 = paddedSize[1]; |
| 64 | unsigned int size2 = paddedSize[2]; |
| 65 | unsigned int size3 = paddedSize[3]; |
| 66 | |
| 67 | BOOST_ASSERT(begin0 + size0 <= dim0); |
| 68 | BOOST_ASSERT(begin1 + size1 <= dim1); |
| 69 | BOOST_ASSERT(begin2 + size2 <= dim2); |
| 70 | BOOST_ASSERT(begin3 + size3 <= dim3); |
| 71 | |
| 72 | const unsigned char* input = reinterpret_cast<const unsigned char*>(inputData); |
| 73 | unsigned char* output = reinterpret_cast<unsigned char*>(outputData); |
| 74 | |
| 75 | boost::ignore_unused(dim0); |
| 76 | for (unsigned int idx0 = begin0; idx0 < begin0 + size0; ++idx0) |
| 77 | { |
| 78 | for (unsigned int idx1 = begin1; idx1 < begin1 + size1; ++idx1) |
| 79 | { |
| 80 | for (unsigned int idx2 = begin2; idx2 < begin2 + size2; ++idx2) |
| 81 | { |
| 82 | for (unsigned int idx3 = begin3; idx3 < begin3 + size3; ++idx3) |
| 83 | { |
| 84 | const unsigned int inputOffset = |
| 85 | (((idx0 * dim1 + idx1) * dim2 + idx2) * dim3 + idx3) * dataTypeSize; |
| 86 | |
| 87 | ::memcpy(output, input + inputOffset, dataTypeSize); |
| 88 | output += dataTypeSize; |
| 89 | } |
| 90 | } |
| 91 | } |
| 92 | } |
| 93 | } |
| 94 | |
| 95 | } // namespace armnn |