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-rw-r--r--tests/validation/CL/DepthwiseConvolutionLayer.cpp851
1 files changed, 515 insertions, 336 deletions
diff --git a/tests/validation/CL/DepthwiseConvolutionLayer.cpp b/tests/validation/CL/DepthwiseConvolutionLayer.cpp
index c88f7c1624..d4dbcec9d9 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) 2017-2024 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -41,6 +41,9 @@ namespace test
{
namespace validation
{
+
+using framework::dataset::make;
+
namespace
{
RelativeTolerance<half_float::half> tolerance_f16(half_float::half(0.01)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */
@@ -48,16 +51,47 @@ 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, 2, 5 });
-const auto large_depth_multipliers = framework::dataset::make("DepthMultiplier", { 1, 2, 5, 8 });
+const auto depth_multipliers = make("DepthMultiplier", { 1, 4 });
+const auto large_depth_multipliers = make("DepthMultiplier", { 2, 5, 8 });
-//Activation Functions
-const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo",
+// Activation Functions
+const auto NoActivation = make("ActivationInfo", ActivationLayerInfo());
+
+const auto ActivationFunctionsSmallDataset = make("ActivationInfo",
{
ActivationLayerInfo(),
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 2.f, 0.f)
+});
+
+const auto ActivationFunctionsDataset = make("ActivationInfo",
+{
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 0.8f, -0.5f),
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LEAKY_RELU, 0.1f),
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::SOFT_RELU),
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::ELU),
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::ABS),
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC),
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH),
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::SQUARE),
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::HARD_SWISH),
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR, 2.f, 1.f),
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::GELU)
+});
+
+const auto ActivationFunctionsQuantizedSmallDataset = make("ActivationInfo",
+{
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 2.f, 0.f)
+});
+
+const auto ActivationFunctionsQuantizedDataset = make("ActivationInfo",
+{
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
- ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f, 0.f)
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 2.3f, -1.5f),
});
+
+const auto IgnoredQuantizationInfo = make("IgnoredQuantizationInfo", QuantizationInfo());
+
} // namespace
TEST_SUITE(CL)
@@ -65,85 +99,85 @@ TEST_SUITE(DepthwiseConvolutionLayer)
// *INDENT-OFF*
// clang-format off
-DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(
- framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type input/weights
- TensorInfo(TensorShape(27U, 13U, 3U), 1, DataType::F32), // Mismatching input feature maps
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching depth multiplier
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid biases size
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid biases dimensions
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid output size
- TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), // patch size bigger than input width
- TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), // dilation < 1
- TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32),
- TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8),
- }),
- framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16),
- TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32),
- TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32),
- TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32),
- TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8),
- })),
- framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32),
- TensorInfo(TensorShape(2U), 1, DataType::F32),
- TensorInfo(TensorShape(2U), 1, DataType::F32),
- TensorInfo(TensorShape(4U), 1, DataType::F32),
- TensorInfo(TensorShape(2U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(2U), 1, DataType::F32),
- TensorInfo(TensorShape(16U), 1, DataType::F32),
- TensorInfo(TensorShape(16U), 1, DataType::F32),
- TensorInfo(TensorShape(16U), 1, DataType::F32),
- TensorInfo(TensorShape(24U), 1, DataType::S32),
- })),
- framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32),
- TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32),
- TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32),
- TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8),
- })),
- framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0),
- PadStrideInfo(1, 1, 0, 0),
- PadStrideInfo(1, 1, 0, 0),
- PadStrideInfo(1, 1, 0, 0),
- PadStrideInfo(1, 1, 0, 0),
- PadStrideInfo(1, 1, 0, 0),
- PadStrideInfo(1, 1, 0, 0),
- PadStrideInfo(1, 1, 0, 0),
- PadStrideInfo(1, 1, 0, 0),
- PadStrideInfo(1, 1, 1, 0),
- })),
- framework::dataset::make("DepthMultiplier", { 1,
- 1,
- 3,
- 1,
- 1,
- 1,
- 2,
- 2,
- 2,
- 3,
- })),
- framework::dataset::make("Dilation", { Size2D(1U, 1U),
- Size2D(1U, 1U),
- Size2D(1U, 1U),
- Size2D(1U, 1U),
- Size2D(1U, 1U),
- Size2D(1U, 1U),
- Size2D(20U, 1U),
- Size2D(0U, 1U),
- Size2D(1U, 1U),
- Size2D(1U, 1U),
- })),
- framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, true, true })),
+DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(
+ make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type input/weights
+ TensorInfo(TensorShape(27U, 13U, 3U), 1, DataType::F32), // Mismatching input feature maps
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching depth multiplier
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid biases size
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid biases dimensions
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid output size
+ TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), // patch size bigger than input width
+ TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), // dilation < 1
+ TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32),
+ TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8),
+ }),
+ make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16),
+ TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32),
+ TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32),
+ TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32),
+ TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8),
+ }),
+ make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32),
+ TensorInfo(TensorShape(2U), 1, DataType::F32),
+ TensorInfo(TensorShape(2U), 1, DataType::F32),
+ TensorInfo(TensorShape(4U), 1, DataType::F32),
+ TensorInfo(TensorShape(2U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(2U), 1, DataType::F32),
+ TensorInfo(TensorShape(16U), 1, DataType::F32),
+ TensorInfo(TensorShape(16U), 1, DataType::F32),
+ TensorInfo(TensorShape(16U), 1, DataType::F32),
+ TensorInfo(TensorShape(24U), 1, DataType::S32),
+ }),
+ make("OutputInfo", { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
+ TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32),
+ TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32),
+ TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32),
+ TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8),
+ }),
+ make("ConvInfo", { PadStrideInfo(1, 1, 0, 0),
+ PadStrideInfo(1, 1, 0, 0),
+ PadStrideInfo(1, 1, 0, 0),
+ PadStrideInfo(1, 1, 0, 0),
+ PadStrideInfo(1, 1, 0, 0),
+ PadStrideInfo(1, 1, 0, 0),
+ PadStrideInfo(1, 1, 0, 0),
+ PadStrideInfo(1, 1, 0, 0),
+ PadStrideInfo(1, 1, 0, 0),
+ PadStrideInfo(1, 1, 1, 0),
+ }),
+ make("DepthMultiplier", { 1,
+ 1,
+ 3,
+ 1,
+ 1,
+ 1,
+ 2,
+ 2,
+ 2,
+ 3,
+ }),
+ make("Dilation", { Size2D(1U, 1U),
+ Size2D(1U, 1U),
+ Size2D(1U, 1U),
+ Size2D(1U, 1U),
+ Size2D(1U, 1U),
+ Size2D(1U, 1U),
+ Size2D(20U, 1U),
+ Size2D(0U, 1U),
+ Size2D(1U, 1U),
+ Size2D(1U, 1U),
+ }),
+ make("Expected", { false, false, false, false, false, false, false, false, true, true })),
input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, dilation, expected)
{
bool is_valid = bool(CLDepthwiseConvolutionLayer::validate(&input_info.clone()->set_is_resizable(true), &weights_info.clone()->set_is_resizable(true), &biases_info.clone()->set_is_resizable(true), &output_info.clone()->set_is_resizable(true), conv_info, depth_multiplier,ActivationLayerInfo(), dilation));
@@ -156,48 +190,32 @@ template <typename T>
using CLDepthwiseConvolutionLayerFixture = DepthwiseConvolutionLayerValidationFixture<CLTensor, CLAccessor, CLDepthwiseConvolutionLayer, T>;
template <typename T>
using CLDepthwiseConvolutionLayerMixedDataLayoutFixture = DepthwiseConvolutionLayerValidationFixture<CLTensor, CLAccessor, CLDepthwiseConvolutionLayer, T, true>;
+template <typename T>
+using CLDepthwiseConvolutionLayerInPlaceFixture = DepthwiseConvolutionLayerValidationFixture<CLTensor, CLAccessor, CLDepthwiseConvolutionLayer, T, false, true>;
TEST_SUITE(Float)
TEST_SUITE(FP16)
TEST_SUITE(W3x3)
TEST_SUITE(NCHW)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::ALL,
- combine(combine(combine(combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
- datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()),
- depth_multipliers),
- framework::dataset::make("DataType",
- DataType::F16)),
- framework::dataset::make("DataLayout", DataLayout::NCHW)),
- ActivationFunctionsDataset))
-{
- validate(CLAccessor(_target), _reference, tolerance_f16);
-}
-FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
- large_depth_multipliers),
- framework::dataset::make("DataType",
- DataType::F16)),
- framework::dataset::make("DataLayout", DataLayout::NCHW)),
- ActivationFunctionsDataset))
+ combine(
+ framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
+ datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()),
+ depth_multipliers,
+ make("DataType", DataType::F16),
+ make("DataLayout", DataLayout::NCHW),
+ ActivationFunctionsSmallDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f16);
}
TEST_SUITE(Dilation)
-FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),
- depth_multipliers),
- framework::dataset::make("DataType",
- DataType::F16)),
- framework::dataset::make("DataLayout", { DataLayout::NCHW })),
- ActivationFunctionsDataset))
-{
- validate(CLAccessor(_target), _reference, tolerance_f16);
-}
-FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY,
- combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),
- large_depth_multipliers),
- framework::dataset::make("DataType",
- DataType::F16)),
- framework::dataset::make("DataLayout", { DataLayout::NCHW })),
- ActivationFunctionsDataset))
+FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::ALL,
+ combine(
+ datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),
+ depth_multipliers,
+ make("DataType", DataType::F16),
+ make("DataLayout", { DataLayout::NCHW }),
+ ActivationFunctionsSmallDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f16);
}
@@ -206,41 +224,42 @@ TEST_SUITE_END() // NCHW
TEST_SUITE(NHWC)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::ALL,
- combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
- depth_multipliers),
- framework::dataset::make("DataType",
- DataType::F16)),
- framework::dataset::make("DataLayout", DataLayout::NHWC)),
- ActivationFunctionsDataset))
+ combine(
+ datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
+ depth_multipliers,
+ make("DataType", DataType::F16),
+ make("DataLayout", DataLayout::NHWC),
+ ActivationFunctionsSmallDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f16);
}
-FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
- large_depth_multipliers),
- framework::dataset::make("DataType",
- DataType::F16)),
- framework::dataset::make("DataLayout", DataLayout::NHWC)),
- ActivationFunctionsDataset))
+FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY,
+ combine(
+ datasets::LargeDepthwiseConvolutionLayerDataset3x3Fp16Subset(),
+ large_depth_multipliers,
+ make("DataType", DataType::F16),
+ make("DataLayout", DataLayout::NHWC),
+ make("ActivationInfo", ActivationLayerInfo())))
{
validate(CLAccessor(_target), _reference, tolerance_f16);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),
depth_multipliers),
- framework::dataset::make("DataType",
+ make("DataType",
DataType::F16)),
- framework::dataset::make("DataLayout", { DataLayout::NHWC })),
- ActivationFunctionsDataset))
+ make("DataLayout", { DataLayout::NHWC })),
+ ActivationFunctionsSmallDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f16);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY,
- combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),
+ combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3Fp16Subset(),
large_depth_multipliers),
- framework::dataset::make("DataType",
+ make("DataType",
DataType::F16)),
- framework::dataset::make("DataLayout", { DataLayout::NHWC })),
- ActivationFunctionsDataset))
+ make("DataLayout", { DataLayout::NHWC })),
+ make("ActivationInfo", ActivationLayerInfo())))
{
validate(CLAccessor(_target), _reference, tolerance_f16);
}
@@ -251,19 +270,33 @@ TEST_SUITE_END() // W3x3
TEST_SUITE(Generic)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
depth_multipliers),
- framework::dataset::make("DataType",
+ make("DataType",
DataType::F16)),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- ActivationFunctionsDataset))
+ make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
+ ActivationFunctionsSmallDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
}
-FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(),
+FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDatasetFp16Subset(),
large_depth_multipliers),
- framework::dataset::make("DataType",
+ make("DataType",
DataType::F16)),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- ActivationFunctionsDataset))
+ make("DataLayout", { DataLayout::NHWC })),
+ make("ActivationInfo", ActivationLayerInfo())))
+{
+ validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
+}
+
+FIXTURE_DATA_TEST_CASE_NEW(RunActivations, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY,
+ combine(
+ make("In", TensorShape(33U, 27U, 11U, 3U)),
+ make("Weights", Size2D(3U, 4U)),
+ make("Info", PadStrideInfo(1, 2, 0, 1)),
+ make("Dilation", Size2D(2U, 2U)),
+ make("DepthMultiplier", { 2 }),
+ make("DataType", DataType::F16),
+ make("DataLayout", { DataLayout::NHWC }),
+ ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
}
@@ -271,25 +304,38 @@ FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<half>, f
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
depth_multipliers),
- framework::dataset::make("DataType",
+ make("DataType",
DataType::F16)),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- ActivationFunctionsDataset))
+ make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
+ ActivationFunctionsSmallDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY,
- combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(),
+ combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDatasetFp16Subset(),
large_depth_multipliers),
- framework::dataset::make("DataType",
+ make("DataType",
DataType::F16)),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- ActivationFunctionsDataset))
+ make("DataLayout", { DataLayout::NHWC })),
+ make("ActivationInfo", ActivationLayerInfo())))
{
validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
}
TEST_SUITE_END() // Dilation
TEST_SUITE_END() // Generic
+
+TEST_SUITE(InPlace)
+FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerInPlaceFixture<half>, framework::DatasetMode::ALL,
+ combine(combine(combine(combine(datasets::SmallInPlaceDepthwiseConvolutionLayerDataset(),
+ make("DepthMultiplier", { 1 })),
+ make("DataType",
+ DataType::F16)),
+ make("DataLayout", { DataLayout::NHWC })),
+ ActivationFunctionsSmallDataset))
+{
+ validate(CLAccessor(_src), _reference, tolerance_f16, tolerance_num);
+}
+TEST_SUITE_END() // InPlace
TEST_SUITE_END() // FP16
TEST_SUITE(FP32)
@@ -299,94 +345,76 @@ FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerFixture<float>,
combine(combine(combine(combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()),
depth_multipliers),
- framework::dataset::make("DataType",
+ make("DataType",
DataType::F32)),
- framework::dataset::make("DataLayout", DataLayout::NCHW)),
- ActivationFunctionsDataset))
-{
- validate(CLAccessor(_target), _reference, tolerance_f32);
-}
-FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
- large_depth_multipliers),
- framework::dataset::make("DataType",
- DataType::F32)),
- framework::dataset::make("DataLayout", DataLayout::NCHW)),
- ActivationFunctionsDataset))
+ make("DataLayout", DataLayout::NCHW)),
+ ActivationFunctionsSmallDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::ALL,
combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), depth_multipliers),
- framework::dataset::make("DataType",
- DataType::F32)),
- framework::dataset::make("DataLayout", DataLayout::NCHW)),
- ActivationFunctionsDataset))
-{
- validate(CLAccessor(_target), _reference, tolerance_f32);
-}
-FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY,
- combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),
- large_depth_multipliers),
- framework::dataset::make("DataType",
+ make("DataType",
DataType::F32)),
- framework::dataset::make("DataLayout", DataLayout::NCHW)),
- ActivationFunctionsDataset))
+ make("DataLayout", DataLayout::NCHW)),
+ ActivationFunctionsSmallDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
-
TEST_SUITE_END() // Dilation
TEST_SUITE_END() // NCHW
+
TEST_SUITE(NHWC)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::ALL,
combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
depth_multipliers),
- framework::dataset::make("DataType",
+ make("DataType",
DataType::F32)),
- framework::dataset::make("DataLayout", DataLayout::NHWC)),
- ActivationFunctionsDataset))
+ make("DataLayout", DataLayout::NHWC)),
+ ActivationFunctionsSmallDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE_NEW(RunMixedDataLayout, CLDepthwiseConvolutionLayerMixedDataLayoutFixture<float>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
- framework::dataset::make("DepthMultiplier", { 2 })),
- framework::dataset::make("DataType",
+ make("DepthMultiplier", { 2 })),
+ make("DataType",
DataType::F32)),
- framework::dataset::make("DataLayout", DataLayout::NHWC)),
- framework::dataset::make("ActivationInfo", ActivationLayerInfo())))
+ make("DataLayout", DataLayout::NHWC)),
+ make("ActivationInfo", ActivationLayerInfo())))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
large_depth_multipliers),
- framework::dataset::make("DataType",
+ make("DataType",
DataType::F32)),
- framework::dataset::make("DataLayout", DataLayout::NHWC)),
- ActivationFunctionsDataset))
+ make("DataLayout", DataLayout::NHWC)),
+ make("ActivationInfo", ActivationLayerInfo())))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
+
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::ALL,
combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),
depth_multipliers),
- framework::dataset::make("DataType",
+ make("DataType",
DataType::F32)),
- framework::dataset::make("DataLayout", DataLayout::NHWC)),
- ActivationFunctionsDataset))
+ make("DataLayout", DataLayout::NHWC)),
+ ActivationFunctionsSmallDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),
large_depth_multipliers),
- framework::dataset::make("DataType",
+ make("DataType",
DataType::F32)),
- framework::dataset::make("DataLayout", DataLayout::NHWC)),
- ActivationFunctionsDataset))
+ make("DataLayout", DataLayout::NHWC)),
+ make("ActivationInfo", ActivationLayerInfo())))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
@@ -397,19 +425,45 @@ TEST_SUITE_END() // W3x3
TEST_SUITE(Generic)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
depth_multipliers),
- framework::dataset::make("DataType",
+ make("DataType",
DataType::F32)),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- ActivationFunctionsDataset))
+ make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
+ ActivationFunctionsSmallDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
+
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(),
large_depth_multipliers),
- framework::dataset::make("DataType",
+ make("DataType",
DataType::F32)),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- ActivationFunctionsDataset))
+ make("DataLayout", { DataLayout::NHWC })),
+ make("ActivationInfo", ActivationLayerInfo())))
+{
+ validate(CLAccessor(_target), _reference, tolerance_f32);
+}
+
+FIXTURE_DATA_TEST_CASE_NEW(RunLargeKernelSize, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::ALL,
+ combine(combine(combine(combine(datasets::LargeKernelSizeDepthwiseConvolutionLayerNHWCDataset(),
+ make("DepthMultiplier", { 1 })),
+ make("DataType",
+ DataType::F32)),
+ make("DataLayout", { DataLayout::NHWC })),
+ ActivationFunctionsSmallDataset))
+{
+ validate(CLAccessor(_target), _reference, tolerance_f32);
+}
+
+FIXTURE_DATA_TEST_CASE_NEW(RunActivations, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY,
+ combine(
+ make("In", TensorShape(33U, 27U, 11U, 3U)),
+ make("Weights", Size2D(3U, 4U)),
+ make("Info", PadStrideInfo(1, 2, 0, 1)),
+ make("Dilation", Size2D(2U, 2U)),
+ make("DepthMultiplier", { 2 }),
+ make("DataType", DataType::F32),
+ make("DataLayout", { DataLayout::NHWC }),
+ ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
@@ -417,25 +471,38 @@ FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<float>,
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
depth_multipliers),
- framework::dataset::make("DataType",
+ make("DataType",
DataType::F32)),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- ActivationFunctionsDataset))
+ make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
+ ActivationFunctionsSmallDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),
large_depth_multipliers),
- framework::dataset::make("DataType",
+ make("DataType",
DataType::F32)),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- ActivationFunctionsDataset))
+ make("DataLayout", { DataLayout::NHWC })),
+ make("ActivationInfo", ActivationLayerInfo())))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
TEST_SUITE_END() // Dilation
TEST_SUITE_END() // Generic
+
+TEST_SUITE(InPlace)
+FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerInPlaceFixture<float>, framework::DatasetMode::ALL,
+ combine(combine(combine(combine(datasets::SmallInPlaceDepthwiseConvolutionLayerDataset(),
+ make("DepthMultiplier", { 1 })),
+ make("DataType",
+ DataType::F32)),
+ make("DataLayout", { DataLayout::NHWC })),
+ ActivationFunctionsSmallDataset))
+{
+ validate(CLAccessor(_src), _reference, tolerance_f32);
+}
+TEST_SUITE_END() // InPlace
TEST_SUITE_END() // FP32
TEST_SUITE_END() // Float
@@ -450,47 +517,84 @@ TEST_SUITE(Quantized)
TEST_SUITE(QASYMM8)
TEST_SUITE(Generic)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
- combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
- depth_multipliers),
- framework::dataset::make("DataType", DataType::QASYMM8)),
- framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10), QuantizationInfo(2.2f, 10) })),
- framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })),
- framework::dataset::make("DataLayout", { DataLayout::NHWC })), // NCHW is tested with int8
- ActivationFunctionsDataset))
+ combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
+ depth_multipliers,
+ make("DataType", DataType::QASYMM8),
+ IgnoredQuantizationInfo,
+ IgnoredQuantizationInfo,
+ make("DataLayout", { DataLayout::NHWC }), // NCHW is tested with int8
+ NoActivation))
+{
+ validate(CLAccessor(_target), _reference, tolerance_qasymm8);
+}
+FIXTURE_DATA_TEST_CASE_NEW(RunSmallWithActivation, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
+ combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
+ depth_multipliers,
+ make("DataType", DataType::QASYMM8),
+ make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 128), QuantizationInfo(2.2f, 10) }),
+ make("DstQuantizationInfo", { QuantizationInfo(1.f, 128) }),
+ make("DataLayout", { DataLayout::NHWC }), // NCHW is tested with int8
+ ActivationFunctionsQuantizedSmallDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
- combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(),
- large_depth_multipliers),
- framework::dataset::make("DataType", DataType::QASYMM8)),
- framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10), QuantizationInfo(2.2f, 10) })),
- framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.7f, 2) })),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- ActivationFunctionsDataset))
+ combine(datasets::LargeDepthwiseConvolutionLayerDataset(),
+ large_depth_multipliers,
+ make("DataType", DataType::QASYMM8),
+ IgnoredQuantizationInfo,
+ IgnoredQuantizationInfo,
+ make("DataLayout", { DataLayout::NHWC }),
+ NoActivation))
+{
+ validate(CLAccessor(_target), _reference, tolerance_qasymm8);
+}
+FIXTURE_DATA_TEST_CASE_NEW(RunActivations, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
+ combine(
+ make("In", TensorShape(33U, 27U, 11U, 3U)),
+ make("Weights", Size2D(3U, 4U)),
+ make("Info", PadStrideInfo(1, 2, 0, 1)),
+ make("Dilation", Size2D(2U, 2U)),
+ make("DepthMultiplier", { 2U }),
+ make("DataType", DataType::QASYMM8),
+ make("SrcQuantizationInfo", { QuantizationInfo(2.2f, 10) }),
+ make("DstQuantizationInfo", { QuantizationInfo(0.1f, 128) }),
+ make("DataLayout", { DataLayout::NHWC }),
+ ActivationFunctionsQuantizedDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
- combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
- depth_multipliers),
- framework::dataset::make("DataType", DataType::QASYMM8)),
- framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10), QuantizationInfo(2.2f, 10) })),
- framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.8, 1) })),
- framework::dataset::make("DataLayout", { DataLayout::NHWC })), // NCHW is tested with int8
- ActivationFunctionsDataset))
+ combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
+ depth_multipliers,
+ make("DataType", DataType::QASYMM8),
+ IgnoredQuantizationInfo,
+ IgnoredQuantizationInfo,
+ make("DataLayout", { DataLayout::NHWC }), // NCHW is tested with int8
+ NoActivation))
+{
+ validate(CLAccessor(_target), _reference, tolerance_qasymm8);
+}
+FIXTURE_DATA_TEST_CASE_NEW(RunSmallWithActivation, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
+ combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
+ depth_multipliers,
+ make("DataType", DataType::QASYMM8),
+ make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10), QuantizationInfo(2.2f, 10) }),
+ make("DstQuantizationInfo", { QuantizationInfo(0.8, 1) }),
+ make("DataLayout", { DataLayout::NHWC }), // NCHW is tested with int8
+ ActivationFunctionsQuantizedSmallDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
- combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(),
- large_depth_multipliers),
- framework::dataset::make("DataType", DataType::QASYMM8)),
- framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10), QuantizationInfo(1.3f, 10) })),
- framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.9f, 11) })),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- ActivationFunctionsDataset))
+ combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(),
+ large_depth_multipliers,
+ make("DataType", DataType::QASYMM8),
+ IgnoredQuantizationInfo,
+ IgnoredQuantizationInfo,
+ make("DataLayout", { DataLayout::NHWC }),
+ NoActivation))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
@@ -498,58 +602,80 @@ TEST_SUITE_END() // Dilation
TEST_SUITE_END() // Generic
TEST_SUITE(W3x3)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
- combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
- depth_multipliers),
- framework::dataset::make("DataType", DataType::QASYMM8)),
- framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10), QuantizationInfo(2.2f, 10) })),
- framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- ActivationFunctionsDataset))
+ combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
+ depth_multipliers,
+ make("DataType", DataType::QASYMM8),
+ IgnoredQuantizationInfo,
+ IgnoredQuantizationInfo,
+ make("DataLayout", { DataLayout::NHWC }),
+ NoActivation))
+{
+ validate(CLAccessor(_target), _reference, tolerance_qasymm8);
+}
+FIXTURE_DATA_TEST_CASE_NEW(RunSmallWithActivation, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
+ combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
+ depth_multipliers,
+ make("DataType", DataType::QASYMM8),
+ make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10), QuantizationInfo(2.2f, 10) }),
+ make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) }),
+ make("DataLayout", { DataLayout::NHWC }),
+ ActivationFunctionsQuantizedSmallDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
- combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
- large_depth_multipliers),
- framework::dataset::make("DataType", DataType::QASYMM8)),
- framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10), QuantizationInfo(2.2f, 10) })),
- framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- ActivationFunctionsDataset))
+ combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
+ large_depth_multipliers,
+ make("DataType", DataType::QASYMM8),
+ IgnoredQuantizationInfo,
+ IgnoredQuantizationInfo,
+ make("DataLayout", { DataLayout::NHWC }),
+ NoActivation))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
- combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),
- depth_multipliers),
- framework::dataset::make("DataType", DataType::QASYMM8)),
- framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10), QuantizationInfo(2.2f, 10) })),
- framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- ActivationFunctionsDataset))
+ combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),
+ depth_multipliers,
+ make("DataType", DataType::QASYMM8),
+ IgnoredQuantizationInfo,
+ IgnoredQuantizationInfo,
+ make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }),
+ NoActivation))
+{
+ validate(CLAccessor(_target), _reference, tolerance_qasymm8);
+}
+FIXTURE_DATA_TEST_CASE_NEW(RunSmallWithActivation, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
+ combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),
+ depth_multipliers,
+ make("DataType", DataType::QASYMM8),
+ make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10), QuantizationInfo(2.2f, 10) }),
+ make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) }),
+ make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }),
+ ActivationFunctionsQuantizedSmallDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE_NEW(RunMixedDataLayout, CLDepthwiseConvolutionLayerQuantizedMixedDataLayoutFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
- combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),
- framework::dataset::make("DepthMultiplier", { 2 })),
- framework::dataset::make("DataType", DataType::QASYMM8)),
- framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10), QuantizationInfo(2.2f, 10) })),
- framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- framework::dataset::make("ActivationInfo", ActivationLayerInfo())))
+ combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),
+ make("DepthMultiplier", { 2 }),
+ make("DataType", DataType::QASYMM8),
+ IgnoredQuantizationInfo,
+ IgnoredQuantizationInfo,
+ make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }),
+ NoActivation))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
- combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),
- large_depth_multipliers),
- framework::dataset::make("DataType", DataType::QASYMM8)),
- framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10), QuantizationInfo(2.2f, 10) })),
- framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- ActivationFunctionsDataset))
+ combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),
+ large_depth_multipliers,
+ make("DataType", DataType::QASYMM8),
+ IgnoredQuantizationInfo,
+ IgnoredQuantizationInfo,
+ make("DataLayout", { DataLayout::NHWC }),
+ NoActivation))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
@@ -560,36 +686,73 @@ TEST_SUITE_END() // QASYMM8
TEST_SUITE(QASYMM8_SIGNED)
TEST_SUITE(Generic)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT,
- combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
- depth_multipliers),
- framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
- framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10), QuantizationInfo(2.2f, 10) })),
- framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })),
- framework::dataset::make("DataLayout", { DataLayout::NCHW })),
- ActivationFunctionsDataset))
+ combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
+ depth_multipliers,
+ make("DataType", DataType::QASYMM8_SIGNED),
+ IgnoredQuantizationInfo,
+ IgnoredQuantizationInfo,
+ make("DataLayout", { DataLayout::NCHW }),
+ NoActivation))
+{
+ validate(CLAccessor(_target), _reference, tolerance_qasymm8);
+}
+FIXTURE_DATA_TEST_CASE_NEW(RunSmallWithActivation, CLDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT,
+ combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
+ depth_multipliers,
+ make("DataType", DataType::QASYMM8_SIGNED),
+ make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10), QuantizationInfo(2.2f, 10) }),
+ make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) }),
+ make("DataLayout", { DataLayout::NCHW }),
+ ActivationFunctionsQuantizedSmallDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE_NEW(RunMixedDataLayout, CLDepthwiseConvolutionLayerQuantizedMixedDataLayoutFixture<int8_t>, framework::DatasetMode::PRECOMMIT,
- combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
- framework::dataset::make("DepthMultiplier", { 2 })),
- framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
- framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10), QuantizationInfo(2.2f, 10) })),
- framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })),
- framework::dataset::make("DataLayout", { DataLayout::NCHW })),
- framework::dataset::make("ActivationInfo", ActivationLayerInfo())))
+ combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
+ make("DepthMultiplier", { 2 }),
+ make("DataType", DataType::QASYMM8_SIGNED),
+ IgnoredQuantizationInfo,
+ IgnoredQuantizationInfo,
+ make("DataLayout", { DataLayout::NCHW }),
+ NoActivation))
+{
+ validate(CLAccessor(_target), _reference, tolerance_qasymm8);
+}
+FIXTURE_DATA_TEST_CASE_NEW(RunActivations, CLDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::NIGHTLY,
+ combine(
+ make("In", TensorShape(33U, 27U, 11U, 3U)),
+ make("Weights", Size2D(3U, 4U)),
+ make("Info", PadStrideInfo(1, 2, 0, 1)),
+ make("Dilation", Size2D(2U, 2U)),
+ make("DepthMultiplier", { 2U }),
+ make("DataType", DataType::QASYMM8_SIGNED),
+ make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10) }),
+ make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) }),
+ make("DataLayout", { DataLayout::NHWC }),
+ ActivationFunctionsQuantizedDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT,
- combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
- depth_multipliers),
- framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
- framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10), QuantizationInfo(2.2f, 10) })),
- framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.8, 1) })),
- framework::dataset::make("DataLayout", { DataLayout::NCHW })),
- ActivationFunctionsDataset))
+ combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
+ depth_multipliers,
+ make("DataType", DataType::QASYMM8_SIGNED),
+ IgnoredQuantizationInfo,
+ IgnoredQuantizationInfo,
+ make("DataLayout", { DataLayout::NCHW }),
+ NoActivation))
+{
+ validate(CLAccessor(_target), _reference, tolerance_qasymm8);
+}
+FIXTURE_DATA_TEST_CASE_NEW(RunSmallWithActivation, CLDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT,
+ combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
+ depth_multipliers,
+ make("DataType", DataType::QASYMM8_SIGNED),
+ make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10), QuantizationInfo(2.2f, 10) }),
+ make("DstQuantizationInfo", { QuantizationInfo(0.8, 1) }),
+ make("DataLayout", { DataLayout::NCHW }),
+ ActivationFunctionsQuantizedSmallDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
@@ -602,24 +765,40 @@ TEST_SUITE(Generic)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerQuantizedPerChannelFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
depth_multipliers),
- framework::dataset::make("SrcDataType", DataType::QASYMM8)),
- framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
- framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10) })),
- framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- ActivationFunctionsDataset))
+ make("SrcDataType", DataType::QASYMM8)),
+ make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
+ make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10) })),
+ make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })),
+ make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
+ ActivationFunctionsSmallDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerQuantizedPerChannelFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(),
large_depth_multipliers),
- framework::dataset::make("SrcDataType", DataType::QASYMM8)),
- framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
- framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
- framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.7f, 2) })),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- ActivationFunctionsDataset))
+ make("SrcDataType", DataType::QASYMM8)),
+ make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
+ make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
+ make("DstQuantizationInfo", { QuantizationInfo(0.7f, 2) })),
+ make("DataLayout", { DataLayout::NHWC })),
+ make("ActivationInfo", ActivationLayerInfo())))
+{
+ validate(CLAccessor(_target), _reference, tolerance_qasymm8);
+}
+FIXTURE_DATA_TEST_CASE_NEW(RunActivations, CLDepthwiseConvolutionLayerQuantizedPerChannelFixture<int8_t>, framework::DatasetMode::NIGHTLY,
+ combine(
+ make("In", TensorShape(33U, 27U, 11U, 3U)),
+ make("Weights", Size2D(3U, 4U)),
+ make("Info", PadStrideInfo(1, 2, 0, 1)),
+ make("Dilation", Size2D(2U, 2U)),
+ make("DepthMultiplier", { 2U }),
+ make("SrcDataType", DataType::QASYMM8_SIGNED),
+ make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL),
+ make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10) }),
+ make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) }),
+ make("DataLayout", { DataLayout::NHWC }),
+ ActivationFunctionsQuantizedDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
@@ -627,24 +806,24 @@ TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerQuantizedPerChannelFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
depth_multipliers),
- framework::dataset::make("SrcDataType", DataType::QASYMM8)),
- framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
- framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
- framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.8, 1) })),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- ActivationFunctionsDataset))
+ make("SrcDataType", DataType::QASYMM8)),
+ make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
+ make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
+ make("DstQuantizationInfo", { QuantizationInfo(0.8, 1) })),
+ make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
+ ActivationFunctionsSmallDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerQuantizedPerChannelFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(),
large_depth_multipliers),
- framework::dataset::make("SrcDataType", DataType::QASYMM8)),
- framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
- framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
- framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.9f, 11) })),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- ActivationFunctionsDataset))
+ make("SrcDataType", DataType::QASYMM8)),
+ make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
+ make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
+ make("DstQuantizationInfo", { QuantizationInfo(0.9f, 11) })),
+ make("DataLayout", { DataLayout::NHWC })),
+ make("ActivationInfo", ActivationLayerInfo())))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
@@ -654,24 +833,24 @@ TEST_SUITE(W3x3)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerQuantizedPerChannelFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
depth_multipliers),
- framework::dataset::make("SrcDataType", DataType::QASYMM8)),
- framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
- framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10) })),
- framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- ActivationFunctionsDataset))
+ make("SrcDataType", DataType::QASYMM8)),
+ make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
+ make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10) })),
+ make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })),
+ make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
+ ActivationFunctionsSmallDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerQuantizedPerChannelFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
large_depth_multipliers),
- framework::dataset::make("SrcDataType", DataType::QASYMM8)),
- framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
- framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
- framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- ActivationFunctionsDataset))
+ make("SrcDataType", DataType::QASYMM8)),
+ make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
+ make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
+ make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
+ make("DataLayout", { DataLayout::NHWC })),
+ make("ActivationInfo", ActivationLayerInfo())))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
@@ -679,24 +858,24 @@ TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerQuantizedPerChannelFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),
depth_multipliers),
- framework::dataset::make("SrcDataType", DataType::QASYMM8)),
- framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
- framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
- framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- ActivationFunctionsDataset))
+ make("SrcDataType", DataType::QASYMM8)),
+ make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
+ make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
+ make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
+ make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
+ ActivationFunctionsSmallDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerQuantizedPerChannelFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),
large_depth_multipliers),
- framework::dataset::make("SrcDataType", DataType::QASYMM8)),
- framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
- framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
- framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- ActivationFunctionsDataset))
+ make("SrcDataType", DataType::QASYMM8)),
+ make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
+ make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
+ make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
+ make("DataLayout", { DataLayout::NHWC })),
+ make("ActivationInfo", ActivationLayerInfo())))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}