| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "ParserHelper.hpp" |
| |
| // armnnUtils |
| #include "Permute.hpp" |
| |
| #include <boost/format.hpp> |
| |
| namespace armnnUtils |
| { |
| |
| const armnn::PermutationVector NHWCToArmNN = { 0, 2, 3, 1 }; |
| const armnn::PermutationVector ArmNNToNHWC = { 0, 3, 1, 2 }; |
| |
| void ProcessConcatInputTensorInfo(armnn::TensorInfo& inputTensorInfo, armnn::OriginsDescriptor& concatDescriptor, |
| const unsigned int& concatAxis, unsigned int inputIndex, |
| std::vector<unsigned int>& mergeDimSizes, unsigned int& mergeDim) |
| { |
| // double check dimensions of the tensors |
| if (inputTensorInfo.GetNumDimensions() != armnn::MaxNumOfTensorDimensions) |
| { |
| throw armnn::ParseException( |
| boost::str( |
| boost::format( |
| "The number of dimensions: %1% for input tensors of the " |
| "concatenation op should be %2% %3%") |
| % inputTensorInfo.GetNumDimensions() |
| % armnn::MaxNumOfTensorDimensions |
| % CHECK_LOCATION().AsString())); |
| } |
| |
| // if concatenation axis is 3 then need to be permuted |
| if (concatAxis == 3) |
| { |
| inputTensorInfo = armnnUtils::Permuted(inputTensorInfo, NHWCToArmNN); |
| } |
| |
| for (unsigned int dim = 0; dim < armnn::MaxNumOfTensorDimensions; ++dim) |
| { |
| mergeDimSizes[dim] = inputTensorInfo.GetShape()[dim]; |
| } |
| |
| // Concatenation dimension 1 is the only dimension supported in ArmNN |
| const unsigned int concatenationDim = 1; |
| |
| for (unsigned int j = 0; j < concatenationDim; ++j) |
| { |
| concatDescriptor.SetViewOriginCoord(inputIndex, j, 0); |
| } |
| |
| concatDescriptor.SetViewOriginCoord(inputIndex, concatenationDim, mergeDim); |
| mergeDim += mergeDimSizes[concatenationDim]; |
| |
| for (unsigned int j = concatenationDim + 1; j < armnn::MaxNumOfTensorDimensions; ++j) |
| { |
| concatDescriptor.SetViewOriginCoord(inputIndex, j, 0); |
| } |
| } |
| |
| } // namespace armnnUtils |