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| author | Giorgio Arena <giorgio.arena@arm.com> | 2018-07-04 17:03:33 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:10 +0000 |
| commit | 149fdf3cad6b42ed302ebe2b0d614a36b9b4d81c (patch) | |
| tree | 8eee21e55cf4e6148da5825ccaf2811ef742cfcc /tests/validation/CL/Winograd.cpp | |
| parent | 876be2a0d11874d871860dbd22481f831d6878f6 (diff) | |
| download | ComputeLibrary-149fdf3cad6b42ed302ebe2b0d614a36b9b4d81c.tar.gz | |
COMPMID-1337 Implementing Winograd Convolution Layer 1x3 and 3x1 kernels on OpenCL NHWC
Change-Id: Ia07e0dfcbcd07366c4bcb956e298369fb12a0369
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/138759
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Diffstat (limited to 'tests/validation/CL/Winograd.cpp')
| -rw-r--r-- | tests/validation/CL/Winograd.cpp | 8 |
1 files changed, 6 insertions, 2 deletions
diff --git a/tests/validation/CL/Winograd.cpp b/tests/validation/CL/Winograd.cpp index 849d0c13bc..c39cb4e790 100644 --- a/tests/validation/CL/Winograd.cpp +++ b/tests/validation/CL/Winograd.cpp @@ -70,7 +70,9 @@ const auto SmallWinogradInputTransformDatasetNCHW = datasets::SmallWinogradInputTransformDataset1x4_1x5())))))))); const auto SmallWinogradInputTransformDatasetNHWC = framework::dataset::concat(datasets::SmallWinogradInputTransformDataset4x4_3x3(), - datasets::SmallWinogradInputTransformDataset4x4_5x5()); + framework::dataset::concat(datasets::SmallWinogradInputTransformDataset4x1_3x1(), + framework::dataset::concat(datasets::SmallWinogradInputTransformDataset1x4_1x3(), + datasets::SmallWinogradInputTransformDataset4x4_5x5()))); const auto LargeWinogradInputTransformDatasetNCHW = framework::dataset::concat(datasets::LargeWinogradInputTransformDataset2x2_3x3(), @@ -98,7 +100,9 @@ const auto SmallWinogradFilterTransformDatasetNCHW = const auto SmallWinogradFilterTransformDatasetNHWC = framework::dataset::concat(combine(datasets::Small3x3Shapes(), framework::dataset::make("OutputTile", { Size2D(4U, 4U) })), - combine(datasets::Small5x5Shapes(), framework::dataset::make("OutputTile", { Size2D(4U, 4U) }))); + framework::dataset::concat(combine(datasets::Small3x1Shapes(), framework::dataset::make("OutputTile", { Size2D(4U, 1U) })), + framework::dataset::concat(combine(datasets::Small1x3Shapes(), framework::dataset::make("OutputTile", { Size2D(1U, 4U) })), + combine(datasets::Small5x5Shapes(), framework::dataset::make("OutputTile", { Size2D(4U, 4U) }))))); const auto LargeWinogradFilterTransformDatasetNCHW = framework::dataset::concat(combine(datasets::Large3x3Shapes(), framework::dataset::make("OutputTile", { Size2D(2U, 2U), Size2D(4U, 4U) })), |