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| author | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2022-08-31 11:47:08 +0100 |
|---|---|---|
| committer | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2022-09-07 13:09:57 +0000 |
| commit | 211a55d8218764c0a20d69d4cbdaea1906291c6b (patch) | |
| tree | d8852d04cfefcd8868ad142449fa707adb6c1c03 /tests/validation/CL/DepthwiseConvolutionLayer.cpp | |
| parent | 13a2d003fd63e03d67ad28f608082126bf04046b (diff) | |
| download | ComputeLibrary-211a55d8218764c0a20d69d4cbdaea1906291c6b.tar.gz | |
Optimize depthwise convolution on OpenCL
The optimization concerns the case where the depth multiplier is > 1.
The depth multiplier for loop has been removed from the OpenCL kernel
and the GWS has been mapped to the output shape. In this way, we can
still perform a tile with N0 columns and improve the performance of
depthwise conv over 80% when depth multiplier is > 1.
Resolves COMPMID-5568
Change-Id: I604e287d4eeb31c54b9cc6c3072a698cd0e3e136
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8184
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/CL/DepthwiseConvolutionLayer.cpp')
| -rw-r--r-- | tests/validation/CL/DepthwiseConvolutionLayer.cpp | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tests/validation/CL/DepthwiseConvolutionLayer.cpp b/tests/validation/CL/DepthwiseConvolutionLayer.cpp index b2cff2b792..5d5562f678 100644 --- a/tests/validation/CL/DepthwiseConvolutionLayer.cpp +++ b/tests/validation/CL/DepthwiseConvolutionLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2021 Arm Limited. + * Copyright (c) 2017-2022 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -48,7 +48,7 @@ constexpr RelativeTolerance<float> tolerance_f32(0.01f); /**< constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(0); /**< Tolerance value for comparing reference's output against implementation's output for DataType::QASYMM8 */ constexpr float tolerance_num = 0.05f; /**< Tolerance number */ -const auto depth_multipliers = framework::dataset::make("DepthMultiplier", { 1, 5 }); +const auto depth_multipliers = framework::dataset::make("DepthMultiplier", { 1, 4 }); const auto large_depth_multipliers = framework::dataset::make("DepthMultiplier", { 1, 2, 5, 8 }); //Activation Functions |