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authorMichalis Spyrou <michalis.spyrou@arm.com>2019-01-25 14:17:49 +0000
committerMichalis Spyrou <michalis.spyrou@arm.com>2019-01-25 15:57:37 +0000
commit5ce99a28e247374140c7ffb0b3baf536b8ceed52 (patch)
tree9da213ec39b8d24a514ef4bfc408d26531b807c6 /tests/validation/CL
parent17a01a3b12eab0dfab933f25bcf2a49b3d7c971d (diff)
downloadComputeLibrary-5ce99a28e247374140c7ffb0b3baf536b8ceed52.tar.gz
COMPMID-1652 Cleanup some nighly tests
Removed some tests as they add no real value such as LargeShapes in elementwise operations etc. Change-Id: I97870c947ea2d668997f2fca58c1f9e4087efd16 Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com> Reviewed-on: https://review.mlplatform.org/583 Reviewed-by: Isabella Gottardi <isabella.gottardi@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/CL')
-rw-r--r--tests/validation/CL/BitwiseAnd.cpp11
-rw-r--r--tests/validation/CL/BitwiseNot.cpp11
-rw-r--r--tests/validation/CL/BitwiseOr.cpp11
-rw-r--r--tests/validation/CL/BitwiseXor.cpp11
-rw-r--r--tests/validation/CL/Copy.cpp30
-rw-r--r--tests/validation/CL/DeconvolutionLayer.cpp10
-rw-r--r--tests/validation/CL/DirectConvolutionLayer.cpp9
-rw-r--r--tests/validation/CL/ElementwiseMax.cpp27
-rw-r--r--tests/validation/CL/ElementwiseMin.cpp28
-rw-r--r--tests/validation/CL/ElementwiseSquaredDiff.cpp26
-rw-r--r--tests/validation/CL/PoolingLayer.cpp8
11 files changed, 36 insertions, 146 deletions
diff --git a/tests/validation/CL/BitwiseAnd.cpp b/tests/validation/CL/BitwiseAnd.cpp
index 8a4c43f89b..2aa15f6de6 100644
--- a/tests/validation/CL/BitwiseAnd.cpp
+++ b/tests/validation/CL/BitwiseAnd.cpp
@@ -74,19 +74,12 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Sma
template <typename T>
using CLBitwiseAndFixture = BitwiseAndValidationFixture<CLTensor, CLAccessor, CLBitwiseAnd, T>;
-FIXTURE_DATA_TEST_CASE(RunSmall, CLBitwiseAndFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType",
- DataType::U8)))
+FIXTURE_DATA_TEST_CASE(RunSmall, CLBitwiseAndFixture<uint8_t>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType",
+ DataType::U8)))
{
// Validate output
validate(CLAccessor(_target), _reference);
}
-FIXTURE_DATA_TEST_CASE(RunLarge, CLBitwiseAndFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make("DataType",
- DataType::U8)))
-{
- // Validate output
- validate(CLAccessor(_target), _reference);
-}
-
TEST_SUITE_END()
TEST_SUITE_END()
} // namespace validation
diff --git a/tests/validation/CL/BitwiseNot.cpp b/tests/validation/CL/BitwiseNot.cpp
index e0f125acca..35e0d3dc02 100644
--- a/tests/validation/CL/BitwiseNot.cpp
+++ b/tests/validation/CL/BitwiseNot.cpp
@@ -70,19 +70,12 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Sma
template <typename T>
using CLBitwiseNotFixture = BitwiseNotValidationFixture<CLTensor, CLAccessor, CLBitwiseNot, T>;
-FIXTURE_DATA_TEST_CASE(RunSmall, CLBitwiseNotFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType",
- DataType::U8)))
+FIXTURE_DATA_TEST_CASE(RunSmall, CLBitwiseNotFixture<uint8_t>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType",
+ DataType::U8)))
{
// Validate output
validate(CLAccessor(_target), _reference);
}
-FIXTURE_DATA_TEST_CASE(RunLarge, CLBitwiseNotFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make("DataType",
- DataType::U8)))
-{
- // Validate output
- validate(CLAccessor(_target), _reference);
-}
-
TEST_SUITE_END()
TEST_SUITE_END()
} // namespace validation
diff --git a/tests/validation/CL/BitwiseOr.cpp b/tests/validation/CL/BitwiseOr.cpp
index 168b1411ee..5e24b5eb66 100644
--- a/tests/validation/CL/BitwiseOr.cpp
+++ b/tests/validation/CL/BitwiseOr.cpp
@@ -74,19 +74,12 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Sma
template <typename T>
using CLBitwiseOrFixture = BitwiseOrValidationFixture<CLTensor, CLAccessor, CLBitwiseOr, T>;
-FIXTURE_DATA_TEST_CASE(RunSmall, CLBitwiseOrFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType",
- DataType::U8)))
+FIXTURE_DATA_TEST_CASE(RunSmall, CLBitwiseOrFixture<uint8_t>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType",
+ DataType::U8)))
{
// Validate output
validate(CLAccessor(_target), _reference);
}
-FIXTURE_DATA_TEST_CASE(RunLarge, CLBitwiseOrFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make("DataType",
- DataType::U8)))
-{
- // Validate output
- validate(CLAccessor(_target), _reference);
-}
-
TEST_SUITE_END()
TEST_SUITE_END()
} // namespace validation
diff --git a/tests/validation/CL/BitwiseXor.cpp b/tests/validation/CL/BitwiseXor.cpp
index 028888de32..35b2b0df63 100644
--- a/tests/validation/CL/BitwiseXor.cpp
+++ b/tests/validation/CL/BitwiseXor.cpp
@@ -74,19 +74,12 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Sma
template <typename T>
using CLBitwiseXorFixture = BitwiseXorValidationFixture<CLTensor, CLAccessor, CLBitwiseXor, T>;
-FIXTURE_DATA_TEST_CASE(RunSmall, CLBitwiseXorFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType",
- DataType::U8)))
+FIXTURE_DATA_TEST_CASE(RunSmall, CLBitwiseXorFixture<uint8_t>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType",
+ DataType::U8)))
{
// Validate output
validate(CLAccessor(_target), _reference);
}
-FIXTURE_DATA_TEST_CASE(RunLarge, CLBitwiseXorFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make("DataType",
- DataType::U8)))
-{
- // Validate output
- validate(CLAccessor(_target), _reference);
-}
-
TEST_SUITE_END()
TEST_SUITE_END()
} // namespace validation
diff --git a/tests/validation/CL/Copy.cpp b/tests/validation/CL/Copy.cpp
index 746fa175dc..fdbd07bd4b 100644
--- a/tests/validation/CL/Copy.cpp
+++ b/tests/validation/CL/Copy.cpp
@@ -68,14 +68,8 @@ template <typename T>
using CLCopyFixture = CopyFixture<CLTensor, CLAccessor, CLCopy, T>;
TEST_SUITE(F32)
-FIXTURE_DATA_TEST_CASE(RunSmall, CLCopyFixture<float>, framework::DatasetMode::PRECOMMIT, combine(zip(datasets::SmallShapes(), datasets::SmallShapes()), framework::dataset::make("DataType",
- DataType::F32)))
-{
- // Validate output
- validate(CLAccessor(_target), _reference);
-}
-FIXTURE_DATA_TEST_CASE(RunLarge, CLCopyFixture<float>, framework::DatasetMode::NIGHTLY, combine(zip(datasets::LargeShapes(), datasets::LargeShapes()), framework::dataset::make("DataType",
- DataType::F32)))
+FIXTURE_DATA_TEST_CASE(RunSmall, CLCopyFixture<float>, framework::DatasetMode::ALL, combine(zip(datasets::SmallShapes(), datasets::SmallShapes()), framework::dataset::make("DataType",
+ DataType::F32)))
{
// Validate output
validate(CLAccessor(_target), _reference);
@@ -83,14 +77,8 @@ FIXTURE_DATA_TEST_CASE(RunLarge, CLCopyFixture<float>, framework::DatasetMode::N
TEST_SUITE_END() // F32
TEST_SUITE(U8)
-FIXTURE_DATA_TEST_CASE(RunSmall, CLCopyFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(zip(datasets::SmallShapes(), datasets::SmallShapes()), framework::dataset::make("DataType",
- DataType::U8)))
-{
- // Validate output
- validate(CLAccessor(_target), _reference);
-}
-FIXTURE_DATA_TEST_CASE(RunLarge, CLCopyFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(zip(datasets::LargeShapes(), datasets::LargeShapes()), framework::dataset::make("DataType",
- DataType::U8)))
+FIXTURE_DATA_TEST_CASE(RunSmall, CLCopyFixture<uint8_t>, framework::DatasetMode::ALL, combine(zip(datasets::SmallShapes(), datasets::SmallShapes()), framework::dataset::make("DataType",
+ DataType::U8)))
{
// Validate output
validate(CLAccessor(_target), _reference);
@@ -98,14 +86,8 @@ FIXTURE_DATA_TEST_CASE(RunLarge, CLCopyFixture<uint8_t>, framework::DatasetMode:
TEST_SUITE_END() // U8
TEST_SUITE(U16)
-FIXTURE_DATA_TEST_CASE(RunSmall, CLCopyFixture<uint16_t>, framework::DatasetMode::PRECOMMIT, combine(zip(datasets::SmallShapes(), datasets::SmallShapes()), framework::dataset::make("DataType",
- DataType::U16)))
-{
- // Validate output
- validate(CLAccessor(_target), _reference);
-}
-FIXTURE_DATA_TEST_CASE(RunLarge, CLCopyFixture<uint16_t>, framework::DatasetMode::NIGHTLY, combine(zip(datasets::LargeShapes(), datasets::LargeShapes()), framework::dataset::make("DataType",
- DataType::U16)))
+FIXTURE_DATA_TEST_CASE(RunSmall, CLCopyFixture<uint16_t>, framework::DatasetMode::ALL, combine(zip(datasets::SmallShapes(), datasets::SmallShapes()), framework::dataset::make("DataType",
+ DataType::U16)))
{
// Validate output
validate(CLAccessor(_target), _reference);
diff --git a/tests/validation/CL/DeconvolutionLayer.cpp b/tests/validation/CL/DeconvolutionLayer.cpp
index b761b80e24..46a229bb39 100644
--- a/tests/validation/CL/DeconvolutionLayer.cpp
+++ b/tests/validation/CL/DeconvolutionLayer.cpp
@@ -49,19 +49,19 @@ RelativeTolerance<half_float::half> tolerance_f16(half_float::half(0.2)); /**< T
constexpr AbsoluteTolerance<float> tolerance_qasymm8(0.0); /**< Tolerance value for comparing reference's output against implementation's output for quantized data types */
constexpr float tolerance_num = 0.07f; /**< Tolerance number */
-const auto data4x4 = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 5) * framework::dataset::make("StrideY", 1, 5) * framework::dataset::make("PadX", 0, 3)
- * framework::dataset::make("PadY", 0, 3) * framework::dataset::make("ax", 0) * framework::dataset::make("ay", 0) * framework::dataset::make("NumKernels", { 1, 3 });
+const auto data4x4 = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 4) * framework::dataset::make("StrideY", 1, 4) * framework::dataset::make("PadX", 0, 3)
+ * framework::dataset::make("PadY", 0, 3) * framework::dataset::make("ax", 0) * framework::dataset::make("ay", 0) * framework::dataset::make("NumKernels", { 3 });
const auto data3x3 = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 4) * framework::dataset::make("StrideY", 1, 4) * framework::dataset::make("PadX", 0, 2)
- * framework::dataset::make("PadY", 0, 2) * framework::dataset::make("ax", 0) * framework::dataset::make("ay", 0) * framework::dataset::make("NumKernels", { 1, 3 });
+ * framework::dataset::make("PadY", 0, 2) * framework::dataset::make("ax", 0) * framework::dataset::make("ay", 0) * framework::dataset::make("NumKernels", { 3 });
const auto data3x3_precommit = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 2) * framework::dataset::make("StrideY", 1, 2) * framework::dataset::make("PadX", 0, 2)
* framework::dataset::make("PadY", 0, 2) * framework::dataset::make("ax", 0) * framework::dataset::make("ay", 0) * framework::dataset::make("NumKernels", { 3 });
const auto data1x1 = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 4) * framework::dataset::make("StrideY", 1, 4) * framework::dataset::make("PadX", 0, 1)
- * framework::dataset::make("PadY", 0, 1) * framework::dataset::make("ax", 0) * framework::dataset::make("ay", 0) * framework::dataset::make("NumKernels", { 1, 3 });
+ * framework::dataset::make("PadY", 0, 1) * framework::dataset::make("ax", 0) * framework::dataset::make("ay", 0) * framework::dataset::make("NumKernels", { 3 });
-const auto data_layouts_dataset = framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC });
+const auto data_layouts_dataset = framework::dataset::make("DataLayout", { DataLayout::NCHW });
} // namespace
TEST_SUITE(CL)
diff --git a/tests/validation/CL/DirectConvolutionLayer.cpp b/tests/validation/CL/DirectConvolutionLayer.cpp
index dbbaab39e4..437d5bac8c 100644
--- a/tests/validation/CL/DirectConvolutionLayer.cpp
+++ b/tests/validation/CL/DirectConvolutionLayer.cpp
@@ -61,18 +61,13 @@ const auto data = combine(datasets::SmallDirectConvolutionShapes(), combin
const auto data_small = combine(datasets::SmallDirectConvolutionShapes(), combine(data_strides_small, data_ksize_one_small));
/** Direct convolution nightly data set. */
-const auto data_nightly = combine(data, framework::dataset::make("NumKernels", { 1, 4, 8, 16 }));
+const auto data_nightly = combine(data, framework::dataset::make("NumKernels", { 1, 4 }));
/** Direct convolution precommit data set. */
const auto data_precommit = combine(data_small, framework::dataset::make("NumKernels", { 1 }));
/** Activation function Dataset*/
const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo",
-{
- ActivationLayerInfo(),
- ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
- ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 0.5f),
- ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 0.5f)
-});
+{ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 0.5f) });
} // namespace
TEST_SUITE(CL)
diff --git a/tests/validation/CL/ElementwiseMax.cpp b/tests/validation/CL/ElementwiseMax.cpp
index 3702475332..773a91905e 100644
--- a/tests/validation/CL/ElementwiseMax.cpp
+++ b/tests/validation/CL/ElementwiseMax.cpp
@@ -193,13 +193,7 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Sma
validate(dst.info()->padding(), padding);
}
-FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMaxFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseMaxS16Dataset))
-{
- // Validate output
- validate(CLAccessor(_target), _reference);
-}
-
-FIXTURE_DATA_TEST_CASE(RunLarge, CLElementwiseMaxFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), ElementwiseMaxS16Dataset))
+FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMaxFixture<int16_t>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseMaxS16Dataset))
{
// Validate output
validate(CLAccessor(_target), _reference);
@@ -239,13 +233,7 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, datasets::SmallShapes
validate(dst.info()->padding(), padding);
}
-FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMaxFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseMaxFP32Dataset))
-{
- // Validate output
- validate(CLAccessor(_target), _reference, tolerance_fp32);
-}
-
-FIXTURE_DATA_TEST_CASE(RunLarge, CLElementwiseMaxFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), ElementwiseMaxFP32Dataset))
+FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMaxFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseMaxFP32Dataset))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_fp32);
@@ -254,15 +242,8 @@ FIXTURE_DATA_TEST_CASE(RunLarge, CLElementwiseMaxFixture<float>, framework::Data
template <typename T>
using CLElementwiseMaxBroadcastFixture = ElementwiseMaxBroadcastValidationFixture<CLTensor, CLAccessor, CLElementwiseMax, T>;
-FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLElementwiseMaxBroadcastFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapesBroadcast(),
- ElementwiseMaxFP32Dataset))
-{
- // Validate output
- validate(CLAccessor(_target), _reference, tolerance_fp32);
-}
-
-FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, CLElementwiseMaxBroadcastFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapesBroadcast(),
- ElementwiseMaxFP32Dataset))
+FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLElementwiseMaxBroadcastFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapesBroadcast(),
+ ElementwiseMaxFP32Dataset))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_fp32);
diff --git a/tests/validation/CL/ElementwiseMin.cpp b/tests/validation/CL/ElementwiseMin.cpp
index 4ec8ef0990..b6486fccc7 100644
--- a/tests/validation/CL/ElementwiseMin.cpp
+++ b/tests/validation/CL/ElementwiseMin.cpp
@@ -193,13 +193,7 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Sma
validate(dst.info()->padding(), padding);
}
-FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMinFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseMinS16Dataset))
-{
- // Validate output
- validate(CLAccessor(_target), _reference);
-}
-
-FIXTURE_DATA_TEST_CASE(RunLarge, CLElementwiseMinFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), ElementwiseMinS16Dataset))
+FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMinFixture<int16_t>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseMinS16Dataset))
{
// Validate output
validate(CLAccessor(_target), _reference);
@@ -239,30 +233,16 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, datasets::SmallShapes
validate(dst.info()->padding(), padding);
}
-FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMinFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseMinFP32Dataset))
-{
- // Validate output
- validate(CLAccessor(_target), _reference, tolerance_fp32);
-}
-
-FIXTURE_DATA_TEST_CASE(RunLarge, CLElementwiseMinFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), ElementwiseMinFP32Dataset))
+FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMinFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseMinFP32Dataset))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_fp32);
}
-
template <typename T>
using CLElementwiseMinBroadcastFixture = ElementwiseMinBroadcastValidationFixture<CLTensor, CLAccessor, CLElementwiseMin, T>;
-FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLElementwiseMinBroadcastFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapesBroadcast(),
- ElementwiseMinFP32Dataset))
-{
- // Validate output
- validate(CLAccessor(_target), _reference, tolerance_fp32);
-}
-
-FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, CLElementwiseMinBroadcastFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapesBroadcast(),
- ElementwiseMinFP32Dataset))
+FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLElementwiseMinBroadcastFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapesBroadcast(),
+ ElementwiseMinFP32Dataset))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_fp32);
diff --git a/tests/validation/CL/ElementwiseSquaredDiff.cpp b/tests/validation/CL/ElementwiseSquaredDiff.cpp
index 29ecae3b1b..35fecf127c 100644
--- a/tests/validation/CL/ElementwiseSquaredDiff.cpp
+++ b/tests/validation/CL/ElementwiseSquaredDiff.cpp
@@ -194,13 +194,7 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Sma
validate(dst.info()->padding(), padding);
}
-FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseSquaredDiffFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseSquaredDiffS16Dataset))
-{
- // Validate output
- validate(CLAccessor(_target), _reference);
-}
-
-FIXTURE_DATA_TEST_CASE(RunLarge, CLElementwiseSquaredDiffFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), ElementwiseSquaredDiffS16Dataset))
+FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseSquaredDiffFixture<int16_t>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseSquaredDiffS16Dataset))
{
// Validate output
validate(CLAccessor(_target), _reference);
@@ -240,29 +234,15 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, datasets::SmallShapes
validate(dst.info()->padding(), padding);
}
-FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseSquaredDiffFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseSquaredDiffFP32Dataset))
+FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseSquaredDiffFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseSquaredDiffFP32Dataset))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_fp32);
}
-
-FIXTURE_DATA_TEST_CASE(RunLarge, CLElementwiseSquaredDiffFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), ElementwiseSquaredDiffFP32Dataset))
-{
- // Validate output
- validate(CLAccessor(_target), _reference, tolerance_fp32);
-}
-
template <typename T>
using CLElementwiseSquaredDiffBroadcastFixture = ElementwiseSquaredDiffBroadcastValidationFixture<CLTensor, CLAccessor, CLElementwiseSquaredDiff, T>;
-FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLElementwiseSquaredDiffBroadcastFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapesBroadcast(),
- ElementwiseSquaredDiffFP32Dataset))
-{
- // Validate output
- validate(CLAccessor(_target), _reference, tolerance_fp32);
-}
-
-FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, CLElementwiseSquaredDiffBroadcastFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapesBroadcast(),
+FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLElementwiseSquaredDiffBroadcastFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapesBroadcast(),
ElementwiseSquaredDiffFP32Dataset))
{
// Validate output
diff --git a/tests/validation/CL/PoolingLayer.cpp b/tests/validation/CL/PoolingLayer.cpp
index 82819a5570..6afafe6c70 100644
--- a/tests/validation/CL/PoolingLayer.cpp
+++ b/tests/validation/CL/PoolingLayer.cpp
@@ -45,7 +45,7 @@ namespace validation
namespace
{
/** Input data sets for floating-point data types */
-const auto PoolingLayerDatasetFP = combine(combine(combine(datasets::PoolingTypes(), framework::dataset::make("PoolingSize", { Size2D(2, 2), Size2D(3, 3), Size2D(7, 7), Size2D(9, 9), Size2D(5, 7), Size2D(7, 9) })),
+const auto PoolingLayerDatasetFP = combine(combine(combine(datasets::PoolingTypes(), framework::dataset::make("PoolingSize", { Size2D(2, 2), Size2D(3, 3), Size2D(5, 7) })),
framework::dataset::make("PadStride", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(2, 2, 1, 0) })),
framework::dataset::make("ExcludePadding", { true, false }));
@@ -58,9 +58,9 @@ const auto PoolingLayerDatasetQASYMM8 = combine(concat(combine(combine(framework
{
PoolingType::MAX, PoolingType::AVG,
}),
-framework::dataset::make("PoolingSize", { Size2D(2, 2), Size2D(3, 3), Size2D(5, 7), Size2D(8, 9) })),
-framework::dataset::make("PadStride", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(2, 2, 1, 0) })),
-combine(combine(framework::dataset::make("PoolingType", { PoolingType::AVG }), framework::dataset::make("PoolingSize", { Size2D(10, 10) })), framework::dataset::make("PadStride", { PadStrideInfo(5, 5, 5, 5) }))),
+framework::dataset::make("PoolingSize", { Size2D(2, 2), Size2D(3, 3) })),
+framework::dataset::make("PadStride", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(2, 2, 1, 0) })),
+combine(combine(framework::dataset::make("PoolingType", { PoolingType::AVG }), framework::dataset::make("PoolingSize", { Size2D(5, 7) })), framework::dataset::make("PadStride", { PadStrideInfo(2, 1, 0, 0) }))),
framework::dataset::make("ExcludePadding", { true }));
const auto PoolingLayerDatasetQASYMM8Small = combine(combine(combine(framework::dataset::make("PoolingType",