diff options
Diffstat (limited to 'src/backends/reference/workloads/ResizeBilinear.cpp')
| -rw-r--r-- | src/backends/reference/workloads/ResizeBilinear.cpp | 24 |
1 files changed, 17 insertions, 7 deletions
diff --git a/src/backends/reference/workloads/ResizeBilinear.cpp b/src/backends/reference/workloads/ResizeBilinear.cpp index 2d1087c9a0..70a051492a 100644 --- a/src/backends/reference/workloads/ResizeBilinear.cpp +++ b/src/backends/reference/workloads/ResizeBilinear.cpp @@ -27,9 +27,9 @@ inline float Lerp(float a, float b, float w) } -void ResizeBilinear(const float* in, +void ResizeBilinear(Decoder<float>& in, const TensorInfo& inputInfo, - float* out, + Encoder<float>& out, const TensorInfo& outputInfo, DataLayoutIndexed dataLayout) { @@ -50,8 +50,8 @@ void ResizeBilinear(const float* in, 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); - TensorBufferArrayView<const float> input(inputInfo.GetShape(), in, dataLayout); - TensorBufferArrayView<float> output(outputInfo.GetShape(), out, dataLayout); + TensorShape inputShape = inputInfo.GetShape(); + TensorShape outputShape = outputInfo.GetShape(); for (unsigned int n = 0; n < batchSize; ++n) { @@ -84,11 +84,21 @@ void ResizeBilinear(const float* in, const unsigned int y1 = std::min(y0 + 1, inputHeight - 1u); // Interpolation - const float ly0 = Lerp(input.Get(n, c, y0, x0), input.Get(n, c, y0, x1), xw); // lerp along row y0. - const float ly1 = Lerp(input.Get(n, c, y1, x0), input.Get(n, c, y1, x1), xw); // lerp along row y1. + 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); - output.Get(n, c, y, x) = l; + out[dataLayout.GetIndex(outputShape, n, c, y, x)]; + out.Set(l); } } } |