| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "OutputShapeUtils.hpp" |
| |
| #include <algorithm> |
| #include <vector> |
| |
| namespace |
| { |
| |
| using namespace armnn; |
| |
| TensorShape CalculateMaxShape(const TensorShape& inShape0, const TensorShape& inShape1) |
| { |
| // NOTE: The inferred output size will be the maximum size along each dimension |
| // of inShape0 and inShape1, starting with the trailing dimensions, and working its way forward. |
| // |
| // Example: inShape0={4, 1, 2}, inShape1={5, 4, 3, 1} => outputShape={5, 4, 3, 2} |
| |
| const unsigned int numInput0Dims = inShape0.GetNumDimensions(); |
| const unsigned int numInput1Dims = inShape1.GetNumDimensions(); |
| |
| const unsigned int maxNumDims = std::max(numInput0Dims, numInput1Dims); |
| |
| TensorShape outputShape = TensorShape(maxNumDims); |
| for (unsigned int reverseIdx = 1u; reverseIdx <= maxNumDims; ++reverseIdx) |
| { |
| const int input0Idx = numInput0Dims - reverseIdx; |
| const int input1Idx = numInput1Dims - reverseIdx; |
| |
| const unsigned int input0DimSize = input0Idx >= 0 ? inShape0[input0Idx] : 0u; |
| const unsigned int input1DimSize = input1Idx >= 0 ? inShape1[input1Idx] : 0u; |
| |
| const unsigned int outputIdx = maxNumDims - reverseIdx; |
| outputShape[outputIdx] = std::max(input0DimSize, input1DimSize); |
| } |
| |
| return outputShape; |
| } |
| |
| } // namespace annonymous |
| |
| |
| namespace armnn_driver |
| { |
| |
| using namespace armnn; |
| |
| bool IsDynamicOutput(const TensorInfo& outputInfo) |
| { |
| return outputInfo.GetNumElements() == 0u; |
| } |
| |
| TensorShape InferPadOutputShape(const TensorShape& inputShape, |
| const std::vector<std::pair<unsigned int, unsigned int>>& padList) |
| { |
| const unsigned int numDims = inputShape.GetNumDimensions(); |
| |
| std::vector<unsigned int> outputDims; |
| TensorShape outputShape = TensorShape(numDims); |
| for (unsigned int dim = 0; dim < numDims; ++dim) |
| { |
| unsigned int dimSize = inputShape[dim]; |
| const std::pair<unsigned int, unsigned int>& dimPadding = padList[dim]; |
| dimSize += dimPadding.first; |
| dimSize += dimPadding.second; |
| outputShape[dim] = dimSize; |
| } |
| return outputShape; |
| } |
| |
| TensorShape InferPreluOutputShape(const TensorShape& inputShape, const TensorShape& alphaShape) |
| { |
| return CalculateMaxShape(inputShape, alphaShape); |
| } |
| |
| TensorShape InferSubOutputShape(const TensorShape& input0Shape, const TensorShape& input1Shape) |
| { |
| return CalculateMaxShape(input0Shape, input1Shape); |
| } |
| |
| } // namespace armnn_driver |