// // Copyright © 2019 Arm Ltd. All rights reserved. // SPDX-License-Identifier: MIT // #include "Slice.hpp" #include #include #include namespace armnn { void Slice(const TensorInfo& inputInfo, const SliceDescriptor& descriptor, const void* inputData, void* outputData, unsigned int dataTypeSize) { const TensorShape& inputShape = inputInfo.GetShape(); const unsigned int numDims = inputShape.GetNumDimensions(); BOOST_ASSERT(descriptor.m_Begin.size() == numDims); BOOST_ASSERT(descriptor.m_Size.size() == numDims); constexpr unsigned int maxNumDims = 4; BOOST_ASSERT(numDims <= maxNumDims); std::vector paddedInput(4); std::vector paddedBegin(4); std::vector paddedSize (4); const unsigned int numPaddingDims = maxNumDims - numDims; for (unsigned int i = 0u; i < maxNumDims; ++i) { if (i < numPaddingDims) { paddedInput[i] = 1u; paddedBegin[i] = 0u; paddedSize[i] = 1u; } else { const unsigned int j = i - numPaddingDims; paddedInput[i] = inputShape[j]; paddedBegin[i] = descriptor.m_Begin[j]; paddedSize[i] = descriptor.m_Size[j]; } } unsigned int dim0 = paddedInput[0]; unsigned int dim1 = paddedInput[1]; unsigned int dim2 = paddedInput[2]; unsigned int dim3 = paddedInput[3]; unsigned int begin0 = paddedBegin[0]; unsigned int begin1 = paddedBegin[1]; unsigned int begin2 = paddedBegin[2]; unsigned int begin3 = paddedBegin[3]; unsigned int size0 = paddedSize[0]; unsigned int size1 = paddedSize[1]; unsigned int size2 = paddedSize[2]; unsigned int size3 = paddedSize[3]; BOOST_ASSERT(begin0 + size0 <= dim0); BOOST_ASSERT(begin1 + size1 <= dim1); BOOST_ASSERT(begin2 + size2 <= dim2); BOOST_ASSERT(begin3 + size3 <= dim3); const unsigned char* input = reinterpret_cast(inputData); unsigned char* output = reinterpret_cast(outputData); boost::ignore_unused(dim0); for (unsigned int idx0 = begin0; idx0 < begin0 + size0; ++idx0) { for (unsigned int idx1 = begin1; idx1 < begin1 + size1; ++idx1) { for (unsigned int idx2 = begin2; idx2 < begin2 + size2; ++idx2) { for (unsigned int idx3 = begin3; idx3 < begin3 + size3; ++idx3) { const unsigned int inputOffset = (((idx0 * dim1 + idx1) * dim2 + idx2) * dim3 + idx3) * dataTypeSize; ::memcpy(output, input + inputOffset, dataTypeSize); output += dataTypeSize; } } } } } } // namespace armnn