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authorGiorgio Arena <giorgio.arena@arm.com>2020-02-11 17:21:31 +0000
committerSiCong Li <sicong.li@arm.com>2020-04-03 08:51:12 +0000
commit8b2a7d3aa119e7f1d6a03690d05eb27c5d178b9f (patch)
tree9fb4f4f328f7a17de13bef109834e8ad8a21d2ee /tests/validation/CL/ElementwiseSquaredDiff.cpp
parent15e4d876643c37e1db36ee1190ec52319479ffaf (diff)
downloadComputeLibrary-8b2a7d3aa119e7f1d6a03690d05eb27c5d178b9f.tar.gz
COMPMID-3101 Fuse activation with floating point elementwise operation layers in CL
Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Change-Id: I1693f8664ba7c0dc8c076bbe7365cef1e667bd25 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/2718 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/CL/ElementwiseSquaredDiff.cpp')
-rw-r--r--tests/validation/CL/ElementwiseSquaredDiff.cpp44
1 files changed, 38 insertions, 6 deletions
diff --git a/tests/validation/CL/ElementwiseSquaredDiff.cpp b/tests/validation/CL/ElementwiseSquaredDiff.cpp
index edc150109e..86fdc21d6d 100644
--- a/tests/validation/CL/ElementwiseSquaredDiff.cpp
+++ b/tests/validation/CL/ElementwiseSquaredDiff.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -64,6 +64,13 @@ const auto ElementwiseSquaredDiffFP16Dataset = combine(combine(framework::datase
framework::dataset::make("DataType", DataType::F16));
const auto ElementwiseSquaredDiffFP32Dataset = combine(combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F32)),
framework::dataset::make("DataType", DataType::F32));
+const auto EmptyActivationFunctionsDataset = framework::dataset::make("ActivationInfo",
+{ ActivationLayerInfo() });
+const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo",
+{
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 0.75f, 0.25f),
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC, 0.75f, 0.25f)
+});
} // namespace
TEST_SUITE(CL)
@@ -239,9 +246,19 @@ FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseSquaredDiffQuantizedFixture<int16_
TEST_SUITE_END()
TEST_SUITE_END()
+template <typename T>
+using CLElementwiseSquaredDiffFloatFixture = ElementwiseSquaredDiffValidationFloatFixture<CLTensor, CLAccessor, CLElementwiseSquaredDiff, T>;
+
TEST_SUITE(Float)
TEST_SUITE(FP16)
-FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseSquaredDiffFixture<half>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseSquaredDiffFP16Dataset))
+FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseSquaredDiffFloatFixture<half>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ElementwiseSquaredDiffFP16Dataset),
+ EmptyActivationFunctionsDataset))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference, tolerance_fp16, 0.01);
+}
+FIXTURE_DATA_TEST_CASE(RunWithActivation, CLElementwiseSquaredDiffFloatFixture<half>, framework::DatasetMode::ALL, combine(combine(datasets::TinyShapes(), ElementwiseSquaredDiffFP16Dataset),
+ ActivationFunctionsDataset))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_fp16, 0.01);
@@ -272,16 +289,31 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, datasets::SmallShapes
validate(dst.info()->padding(), padding);
}
-FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseSquaredDiffFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseSquaredDiffFP32Dataset))
+FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseSquaredDiffFloatFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ElementwiseSquaredDiffFP32Dataset),
+ EmptyActivationFunctionsDataset))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference, tolerance_fp32);
+}
+FIXTURE_DATA_TEST_CASE(RunWithActivation, CLElementwiseSquaredDiffFloatFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::TinyShapes(), ElementwiseSquaredDiffFP32Dataset),
+ ActivationFunctionsDataset))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_fp32);
}
template <typename T>
-using CLElementwiseSquaredDiffBroadcastFixture = ElementwiseSquaredDiffBroadcastValidationFixture<CLTensor, CLAccessor, CLElementwiseSquaredDiff, T>;
+using CLElementwiseSquaredDiffBroadcastFloatFixture = ElementwiseSquaredDiffBroadcastValidationFloatFixture<CLTensor, CLAccessor, CLElementwiseSquaredDiff, T>;
-FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLElementwiseSquaredDiffBroadcastFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapesBroadcast(),
- ElementwiseSquaredDiffFP32Dataset))
+FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLElementwiseSquaredDiffBroadcastFloatFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapesBroadcast(),
+ ElementwiseSquaredDiffFP32Dataset),
+ EmptyActivationFunctionsDataset))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference, tolerance_fp32);
+}
+FIXTURE_DATA_TEST_CASE(RunWithActivationBroadcast, CLElementwiseSquaredDiffBroadcastFloatFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::TinyShapesBroadcast(),
+ ElementwiseSquaredDiffFP32Dataset),
+ ActivationFunctionsDataset))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_fp32);