From 970f43b078eba91c66fb64eadbc9803661ffcda8 Mon Sep 17 00:00:00 2001
From: Teresa Charlin <teresa.charlinreyes@arm.com>
Date: Mon, 1 Jul 2019 13:51:07 +0100
Subject: IVGCVSW-3365 Add reference workload support for ResizeLayer

Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Id551690065dca0686ce597d1f0c14fd73163481e
---
 .../reference/workloads/ResizeBilinear.cpp         | 108 ---------------------
 1 file changed, 108 deletions(-)
 delete mode 100644 src/backends/reference/workloads/ResizeBilinear.cpp

(limited to 'src/backends/reference/workloads/ResizeBilinear.cpp')

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
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