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author | Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> | 2019-07-09 17:44:24 +0100 |
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committer | Áron Virginás-Tar <aron.virginas-tar@arm.com> | 2019-07-09 16:55:01 +0000 |
commit | f03fcf0dd180ba2c87648a524fcca9214e1f979b (patch) | |
tree | 99eb4643dec16db121b8702a4829f9c8323f5b45 /OutputShapeUtils.cpp | |
parent | 177fa0ba936eaf9de96f04bb91aa51d7656dd655 (diff) | |
download | android-nn-driver-f03fcf0dd180ba2c87648a524fcca9214e1f979b.tar.gz |
IVGCVSW-3456 Add support for dynamic output shape in ConvertPrelu
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: I8fc7a716455be3f51b51177f6896a73790a41fc3
Diffstat (limited to 'OutputShapeUtils.cpp')
-rw-r--r-- | OutputShapeUtils.cpp | 43 |
1 files changed, 43 insertions, 0 deletions
diff --git a/OutputShapeUtils.cpp b/OutputShapeUtils.cpp new file mode 100644 index 00000000..de27630e --- /dev/null +++ b/OutputShapeUtils.cpp @@ -0,0 +1,43 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "OutputShapeUtils.hpp" + +#include <algorithm> + +namespace armnn_driver +{ + +using namespace armnn; + +TensorShape InferPreluOutputShape(const TensorShape& inputShape, const TensorShape& alphaShape) +{ + // NOTE: The inferred PReLU output size will be the maximum size along each dimension + // of input and alpha, starting with the trailing dimensions, and working its way forward. + // + // Example: inputShape={4, 1, 2}, alphaShape={5, 4, 3, 1} => outputShape={5, 4, 3, 2} + + const unsigned int numInputDims = inputShape.GetNumDimensions(); + const unsigned int numAlphaDims = alphaShape.GetNumDimensions(); + + const unsigned int maxNumDims = std::max(numInputDims, numAlphaDims); + + TensorShape outputShape = TensorShape(maxNumDims); + for (unsigned int reverseIdx = 1u; reverseIdx <= maxNumDims; ++reverseIdx) + { + const int inputIdx = numInputDims - reverseIdx; + const int alphaIdx = numAlphaDims - reverseIdx; + + const unsigned int inputDimSize = inputIdx >= 0 ? inputShape[inputIdx] : 0u; + const unsigned int alphaDimSize = alphaIdx >= 0 ? alphaShape[alphaIdx] : 0u; + + const unsigned int outputIdx = maxNumDims - reverseIdx; + outputShape[outputIdx] = std::max(inputDimSize, alphaDimSize); + } + + return outputShape; +} + +} // namespace armnn_driver
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