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author | Teresa Charlin <teresa.charlinreyes@arm.com> | 2019-07-01 13:51:07 +0100 |
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committer | Teresa Charlin <teresa.charlinreyes@arm.com> | 2019-07-01 14:48:57 +0100 |
commit | 970f43b078eba91c66fb64eadbc9803661ffcda8 (patch) | |
tree | 99613d07e62130caff834eadb35f8456b04c63a4 /src/backends/reference/workloads/ResizeBilinear.cpp | |
parent | 6fb339a7d202a9c64d8c7843d630fe8ab7be9f33 (diff) | |
download | armnn-970f43b078eba91c66fb64eadbc9803661ffcda8.tar.gz |
IVGCVSW-3365 Add reference workload support for ResizeLayer
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Id551690065dca0686ce597d1f0c14fd73163481e
Diffstat (limited to 'src/backends/reference/workloads/ResizeBilinear.cpp')
-rw-r--r-- | src/backends/reference/workloads/ResizeBilinear.cpp | 108 |
1 files changed, 0 insertions, 108 deletions
diff --git a/src/backends/reference/workloads/ResizeBilinear.cpp b/src/backends/reference/workloads/ResizeBilinear.cpp deleted file mode 100644 index 70a051492a..0000000000 --- a/src/backends/reference/workloads/ResizeBilinear.cpp +++ /dev/null @@ -1,108 +0,0 @@ -// -// Copyright © 2017 Arm Ltd. All rights reserved. -// SPDX-License-Identifier: MIT -// - -#include "ResizeBilinear.hpp" - -#include "TensorBufferArrayView.hpp" - -#include <boost/numeric/conversion/cast.hpp> - -#include <cmath> -#include <algorithm> - -using namespace armnnUtils; - -namespace armnn -{ - -namespace -{ - -inline float Lerp(float a, float b, float w) -{ - return w * b + (1.f - w) * a; -} - -} - -void ResizeBilinear(Decoder<float>& in, - const TensorInfo& inputInfo, - Encoder<float>& out, - const TensorInfo& outputInfo, - DataLayoutIndexed dataLayout) -{ - // We follow the definition of TensorFlow and AndroidNN: the top-left corner of a texel in the output - // image is projected into the input image to figure out the interpolants and weights. Note that this - // will yield different results than if projecting the centre of output texels. - - const unsigned int batchSize = inputInfo.GetShape()[0]; - const unsigned int channelCount = inputInfo.GetShape()[dataLayout.GetChannelsIndex()]; - - const unsigned int inputHeight = inputInfo.GetShape()[dataLayout.GetHeightIndex()]; - const unsigned int inputWidth = inputInfo.GetShape()[dataLayout.GetWidthIndex()]; - const unsigned int outputHeight = outputInfo.GetShape()[dataLayout.GetHeightIndex()]; - const unsigned int outputWidth = outputInfo.GetShape()[dataLayout.GetWidthIndex()]; - - // How much to scale pixel coordinates in the output image, to get the corresponding pixel coordinates - // in the input image. - const float scaleY = boost::numeric_cast<float>(inputHeight) / boost::numeric_cast<float>(outputHeight); - const float scaleX = boost::numeric_cast<float>(inputWidth) / boost::numeric_cast<float>(outputWidth); - - TensorShape inputShape = inputInfo.GetShape(); - TensorShape outputShape = outputInfo.GetShape(); - - for (unsigned int n = 0; n < batchSize; ++n) - { - for (unsigned int c = 0; c < channelCount; ++c) - { - for (unsigned int y = 0; y < outputHeight; ++y) - { - // Corresponding real-valued height coordinate in input image. - const float iy = boost::numeric_cast<float>(y) * scaleY; - - // Discrete height coordinate of top-left texel (in the 2x2 texel area used for interpolation). - const float fiy = floorf(iy); - const unsigned int y0 = boost::numeric_cast<unsigned int>(fiy); - - // Interpolation weight (range [0,1]). - const float yw = iy - fiy; - - for (unsigned int x = 0; x < outputWidth; ++x) - { - // Real-valued and discrete width coordinates in input image. - const float ix = boost::numeric_cast<float>(x) * scaleX; - const float fix = floorf(ix); - const unsigned int x0 = boost::numeric_cast<unsigned int>(fix); - - // Interpolation weight (range [0,1]). - const float xw = ix - fix; - - // Discrete width/height coordinates of texels below and to the right of (x0, y0). - const unsigned int x1 = std::min(x0 + 1, inputWidth - 1u); - const unsigned int y1 = std::min(y0 + 1, inputHeight - 1u); - - // Interpolation - in[dataLayout.GetIndex(inputShape, n, c, y0, x0)]; - float input1 = in.Get(); - in[dataLayout.GetIndex(inputShape, n, c, y0, x1)]; - float input2 = in.Get(); - in[dataLayout.GetIndex(inputShape, n, c, y1, x0)]; - float input3 = in.Get(); - in[dataLayout.GetIndex(inputShape, n, c, y1, x1)]; - float input4 = in.Get(); - - const float ly0 = Lerp(input1, input2, xw); // lerp along row y0. - const float ly1 = Lerp(input3, input4, xw); // lerp along row y1. - const float l = Lerp(ly0, ly1, yw); - - out[dataLayout.GetIndex(outputShape, n, c, y, x)]; - out.Set(l); - } - } - } - } -} - -} //namespace armnn |