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| author | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2018-06-13 14:05:54 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:53:57 +0000 |
| commit | f1c2bf0971dd1c996da149faf3dd669d566074c7 (patch) | |
| tree | 802b3ce5198c3209d77fc6b603c209023fe45650 /tests/datasets/SmallConvolutionLayerDataset.h | |
| parent | 89a2b571cfc0ea87c26ba8b1ed1ab87d13244f0e (diff) | |
| download | ComputeLibrary-f1c2bf0971dd1c996da149faf3dd669d566074c7.tar.gz | |
COMPMID-1201 - Implementing Winograd Convolution Layer 1x3 and 3x1 kernels on OpenCL
Change-Id: I39667bab49daa4da009694163274a59fd3574c73
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/137595
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'tests/datasets/SmallConvolutionLayerDataset.h')
| -rw-r--r-- | tests/datasets/SmallConvolutionLayerDataset.h | 30 |
1 files changed, 30 insertions, 0 deletions
diff --git a/tests/datasets/SmallConvolutionLayerDataset.h b/tests/datasets/SmallConvolutionLayerDataset.h index fed36de3dd..f05cc15c06 100644 --- a/tests/datasets/SmallConvolutionLayerDataset.h +++ b/tests/datasets/SmallConvolutionLayerDataset.h @@ -52,6 +52,36 @@ public: } }; +class SmallWinogradConvolutionLayer3x1Dataset final : public ConvolutionLayerDataset +{ +public: + SmallWinogradConvolutionLayer3x1Dataset() + { + // Channel size big enough to force multithreaded execution of the input transform + add_config(TensorShape(8U, 8U, 32U), TensorShape(3U, 1U, 32U, 1U), TensorShape(1U), TensorShape(6U, 8U, 1U), PadStrideInfo(1, 1, 0, 0)); + // Batch size 1 + add_config(TensorShape(8U, 8U, 2U), TensorShape(3U, 1U, 2U, 1U), TensorShape(1U), TensorShape(6U, 8U, 1U), PadStrideInfo(1, 1, 0, 0)); + // Batch size 4 + add_config(TensorShape(23U, 27U, 5U, 4U), TensorShape(3U, 1U, 5U, 21U), TensorShape(21U), TensorShape(21U, 27U, 21U, 4U), PadStrideInfo(1, 1, 0, 0)); + add_config(TensorShape(8U, 8U, 2U), TensorShape(3U, 1U, 2U, 1U), TensorShape(1U), TensorShape(8U, 8U, 1U), PadStrideInfo(1, 1, 1, 0)); + } +}; + +class SmallWinogradConvolutionLayer1x3Dataset final : public ConvolutionLayerDataset +{ +public: + SmallWinogradConvolutionLayer1x3Dataset() + { + // Channel size big enough to force multithreaded execution of the input transform + add_config(TensorShape(8U, 8U, 32U), TensorShape(1U, 3U, 32U, 1U), TensorShape(1U), TensorShape(8U, 6U, 1U), PadStrideInfo(1, 1, 0, 0)); + // Batch size 1 + add_config(TensorShape(8U, 8U, 2U), TensorShape(1U, 3U, 2U, 1U), TensorShape(1U), TensorShape(8U, 6U, 1U), PadStrideInfo(1, 1, 0, 0)); + // Batch size 4 + add_config(TensorShape(23U, 27U, 5U, 4U), TensorShape(1U, 3U, 5U, 21U), TensorShape(21U), TensorShape(23U, 25U, 21U, 4U), PadStrideInfo(1, 1, 0, 0)); + add_config(TensorShape(8U, 8U, 2U), TensorShape(1U, 3U, 2U, 1U), TensorShape(1U), TensorShape(8U, 8U, 1U), PadStrideInfo(1, 1, 0, 1)); + } +}; + class SmallWinogradConvolutionLayer5x5Dataset final : public ConvolutionLayerDataset { public: |