| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "ParserHelper.hpp" |
| |
| #include <armnn/Descriptors.hpp> |
| #include <armnnUtils/Permute.hpp> |
| |
| #include <fmt/format.h> |
| |
| 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, |
| unsigned int& mergeDimOrigin) |
| { |
| const uint32_t inputRank = concatDescriptor.GetNumDimensions(); |
| |
| // double check dimensions of the tensors |
| if (inputTensorInfo.GetNumDimensions() != inputRank) |
| { |
| throw armnn::ParseException(fmt::format( |
| "The number of dimensions: {0} for input tensors of the " |
| "concatenation op should be {1} {2}", |
| inputTensorInfo.GetNumDimensions(), |
| inputRank, |
| CHECK_LOCATION().AsString())); |
| } |
| |
| for (unsigned int j = 0; j < concatAxis; ++j) |
| { |
| concatDescriptor.SetViewOriginCoord(inputIndex, j, 0); |
| } |
| |
| concatDescriptor.SetViewOriginCoord(inputIndex, concatAxis, mergeDimOrigin); |
| mergeDimOrigin += inputTensorInfo.GetShape()[concatAxis]; |
| |
| for (unsigned int j = concatAxis + 1; j < inputRank; ++j) |
| { |
| concatDescriptor.SetViewOriginCoord(inputIndex, j, 0); |
| } |
| } |
| |
| void CalculateReducedOutputTensoInfo(const armnn::TensorInfo& inputTensorInfo, |
| const std::set<unsigned int>& axisSet, |
| bool keepDims, |
| armnn::TensorInfo& outputTensorInfo) |
| { |
| std::vector<unsigned int> outputShapeVector; |
| bool dimensionFound = false; |
| unsigned int size = 1; |
| |
| for (unsigned int i = 0; i < inputTensorInfo.GetNumDimensions(); ++i) |
| { |
| dimensionFound = false; |
| for (unsigned int axis: axisSet) |
| { |
| if (axis == i) |
| { |
| dimensionFound = true; |
| break; |
| } |
| } |
| |
| if (!dimensionFound) |
| { |
| size *= inputTensorInfo.GetShape()[i]; |
| |
| if (keepDims) |
| { |
| outputShapeVector.push_back(inputTensorInfo.GetShape()[i]); |
| } |
| } |
| else |
| { |
| if (keepDims) |
| { |
| outputShapeVector.push_back(1); |
| } |
| } |
| } |
| |
| if (keepDims) |
| { |
| armnn::TensorShape outputTensorShape(inputTensorInfo.GetNumDimensions(), &outputShapeVector[0]); |
| outputTensorInfo = armnn::TensorInfo(outputTensorShape, inputTensorInfo.GetDataType()); |
| } |
| else |
| { |
| outputTensorInfo = armnn::TensorInfo({size}, inputTensorInfo.GetDataType()); |
| } |
| } |
| |
| |
| void CalculateStridedSliceOutputTensorInfo(const armnn::TensorInfo& inputTensorInfo, |
| const armnn::StridedSliceDescriptor& desc, |
| armnn::TensorInfo& outputTensorInfo) |
| { |
| const armnn::TensorShape& inputShape = inputTensorInfo.GetShape(); |
| |
| std::vector<unsigned int> outputShapeVector; |
| for (unsigned int i = 0; i < inputTensorInfo.GetNumDimensions(); i++) |
| { |
| if (desc.m_ShrinkAxisMask & (1 << i)) |
| { |
| continue; |
| } |
| |
| int stride = desc.m_Stride[i]; |
| int start = desc.GetStartForAxis(inputShape, i); |
| int stop = desc.GetStopForAxis(inputShape, i, start); |
| |
| int newSize = stride > 0 ? ((stop - start) + stride - 1) / stride : |
| ((start - stop) - stride - 1) / -stride; |
| |
| newSize = std::max(0, newSize); |
| |
| outputShapeVector.push_back(static_cast<unsigned int>(newSize)); |
| } |
| |
| armnn::TensorShape outputTensorShape(inputTensorInfo.GetNumDimensions(), &outputShapeVector[0]); |
| outputTensorInfo = armnn::TensorInfo(armnn::TensorShape(outputTensorShape), inputTensorInfo.GetDataType()); |
| } |
| } // namespace armnnUtils |