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author | Gunes Bayir <gunes.bayir@arm.com> | 2022-11-09 09:26:27 +0000 |
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committer | Gunes Bayir <gunes.bayir@arm.com> | 2022-11-14 15:01:27 +0000 |
commit | ec0113dd7749991959ae351934eea0c0d8077dcb (patch) | |
tree | 792f38b3a05fa85436339d54abddab096e20cc77 /tests/datasets/ShapeDatasets.h | |
parent | 46ede332c7064b85dc538891cad165b3bb427320 (diff) | |
download | ComputeLibrary-ec0113dd7749991959ae351934eea0c0d8077dcb.tar.gz |
Optimize Transposed Convolution for CL backend (FP32/16)
This patch optimizes transposed convolution for CL backend by rewriting it in a single kernel instead of three (flip_kernel + upsample + conv). The new kernel skips the upsampling step which reduces the input space of convolution by stride_x * stride_y, resulting in significant performance improvement. It also skips the kernel flipping by traversing the weights accordingly, thus reduces the memory footprint.
Resolves: COMPMID-5676
Signed-off-by: Gunes Bayir <gunes.bayir@arm.com>
Change-Id: I8a333212dc7c5f7f0597aa58b0d56d44814baa14
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8588
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/datasets/ShapeDatasets.h')
-rw-r--r-- | tests/datasets/ShapeDatasets.h | 16 |
1 files changed, 15 insertions, 1 deletions
diff --git a/tests/datasets/ShapeDatasets.h b/tests/datasets/ShapeDatasets.h index f0ad9fa693..e4277a981e 100644 --- a/tests/datasets/ShapeDatasets.h +++ b/tests/datasets/ShapeDatasets.h @@ -549,7 +549,7 @@ public: { TensorShape{ 5U, 5U, 7U, 4U, 3U }, TensorShape{ 5U, 5U, 4U, 13U, 2U }, - TensorShape{ 5U, 5U, 3U, 5U , 2U}, + TensorShape{ 5U, 5U, 3U, 5U, 2U }, }) { } @@ -718,6 +718,7 @@ public: SmallDeconvolutionShapes() : ShapeDataset("InputShape", { + // Multiple Vector Loops for FP32 TensorShape{ 5U, 4U, 3U, 2U }, TensorShape{ 5U, 5U, 3U }, TensorShape{ 11U, 13U, 4U, 3U } @@ -726,6 +727,19 @@ public: } }; +class SmallDeconvolutionShapesWithLargerChannels final : public ShapeDataset +{ +public: + SmallDeconvolutionShapesWithLargerChannels() + : ShapeDataset("InputShape", + { + // Multiple Vector Loops for all data types + TensorShape{ 5U, 5U, 35U } + }) + { + } +}; + /** Data set containing tiny tensor shapes for direct convolution. */ class TinyDirectConvolutionShapes final : public ShapeDataset { |