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| author | Sang-Hoon Park <sang-hoon.park@arm.com> | 2020-11-25 11:46:03 +0000 |
|---|---|---|
| committer | Sang-Hoon Park <sang-hoon.park@arm.com> | 2020-12-02 10:18:46 +0000 |
| commit | add8e815ea94c8f8e6b1c9faf18527695f1332ec (patch) | |
| tree | 5941064344b426d12bc76b2fba3d0c631e796088 /tests/validation/CL/ActivationLayer.cpp | |
| parent | 4ffc42afafc8e6eee9917ac27b4bc510973335bf (diff) | |
| download | ComputeLibrary-add8e815ea94c8f8e6b1c9faf18527695f1332ec.tar.gz | |
COMPMID-3862: Add support QASYMM8 LEAKY RELU activation
- LEAKY RELU activation is supported for QASYMM8 data type
- vquantize on NEON side has been modified to match with
other backends (OpenCL and reference)
Change-Id: I194631225c8d4f3cc96027d64812ec2be2b4328a
Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4593
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Manuel Bottini <manuel.bottini@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/CL/ActivationLayer.cpp')
| -rw-r--r-- | tests/validation/CL/ActivationLayer.cpp | 6 |
1 files changed, 4 insertions, 2 deletions
diff --git a/tests/validation/CL/ActivationLayer.cpp b/tests/validation/CL/ActivationLayer.cpp index 9b725a44e7..fa95594157 100644 --- a/tests/validation/CL/ActivationLayer.cpp +++ b/tests/validation/CL/ActivationLayer.cpp @@ -168,8 +168,10 @@ template <typename T> using CLActivationLayerQuantizedFixture = ActivationValidationQuantizedFixture<CLTensor, CLAccessor, CLActivationLayer, T>; const auto QuantizedActivationDataset8 = combine(combine(framework::dataset::make("InPlace", { false }), - concat(datasets::ActivationFunctionsQuantized(), framework::dataset::make("ActivationFunction", ActivationLayerInfo::ActivationFunction::HARD_SWISH))), - framework::dataset::make("AlphaBeta", { 0.5f, 1.f })); + concat(datasets::ActivationFunctionsQuantized(), + framework::dataset::make("ActivationFunction", +{ ActivationLayerInfo::ActivationFunction::HARD_SWISH, ActivationLayerInfo::ActivationFunction::LEAKY_RELU }))), +framework::dataset::make("AlphaBeta", { 0.5f, 1.f })); const auto QuantizedActivationDataset16 = combine(combine(framework::dataset::make("InPlace", { false }), datasets::ActivationFunctionsQuantized()), |