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author | Georgios Pinitas <georgios.pinitas@arm.com> | 2019-02-18 20:08:02 +0000 |
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committer | Giuseppe Rossini <giuseppe.rossini@arm.com> | 2019-03-05 11:44:18 +0000 |
commit | 574775c7fa78a094bbeb7f9f87aca832936884e2 (patch) | |
tree | a405e7a265865acc1348860514de28de2835ce24 /tests/validation/CL/DequantizationLayer.cpp | |
parent | 79fa9a22022824735986f74557bf38095eb2284d (diff) | |
download | ComputeLibrary-574775c7fa78a094bbeb7f9f87aca832936884e2.tar.gz |
COMPMID-1937: Adds support for DequantizationLayer for NEON/CL.
Change-Id: I4b73edd176a277294e0e42e642460bc61210778a
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-on: https://review.mlplatform.org/c/744
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giuseppe Rossini <giuseppe.rossini@arm.com>
Diffstat (limited to 'tests/validation/CL/DequantizationLayer.cpp')
-rw-r--r-- | tests/validation/CL/DequantizationLayer.cpp | 99 |
1 files changed, 43 insertions, 56 deletions
diff --git a/tests/validation/CL/DequantizationLayer.cpp b/tests/validation/CL/DequantizationLayer.cpp index 5303566922..b1b0d81c6d 100644 --- a/tests/validation/CL/DequantizationLayer.cpp +++ b/tests/validation/CL/DequantizationLayer.cpp @@ -40,107 +40,94 @@ namespace test { namespace validation { -namespace -{ -const auto DequantizationShapes = concat(datasets::Small3DShapes(), - datasets::Small4DShapes()); -} // namespace - TEST_SUITE(CL) TEST_SUITE(DequantizationLayer) // *INDENT-OFF* // clang-format off -DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( - framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), // Wrong input data type - TensorInfo(TensorShape(16U, 5U, 16U), 1, DataType::U8), // Invalid shape - TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8), // Wrong output data type - TensorInfo(TensorShape(16U, 16U, 2U, 5U), 1, DataType::U8), // Missmatching shapes - TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::U8), // Shrink window - TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8), // Valid +DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip( + framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), // Wrong input data type + TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), // Wrong output data type + TensorInfo(TensorShape(16U, 16U, 2U, 5U), 1, DataType::QASYMM8), // Missmatching shapes + TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::QASYMM8), // Valid + TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), // Valid }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), - TensorInfo(TensorShape(16U, 5U, 16U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), })), - framework::dataset::make("MinMax",{ TensorInfo(TensorShape(2U), 1, DataType::F32), - TensorInfo(TensorShape(2U), 1, DataType::U8), - TensorInfo(TensorShape(2U), 1, DataType::F32), - TensorInfo(TensorShape(2U), 1, DataType::F32), - TensorInfo(TensorShape(2U), 1, DataType::U8), - TensorInfo(TensorShape(2U), 1, DataType::U8), - })), - framework::dataset::make("Expected", { false, false, false, false, false, true})), - input_info, output_info, min_max, expected) + framework::dataset::make("Expected", { false, false, false, true, true})), + input_info, output_info, expected) { - ARM_COMPUTE_EXPECT(bool(CLDequantizationLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), &min_max.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(bool(CLDequantizationLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS); } // clang-format on // *INDENT-ON* -DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(DequantizationShapes, framework::dataset::make("DataType", DataType::U8)), shape, data_type) +DATA_TEST_CASE(Configuration, + framework::DatasetMode::ALL, + combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::F16, DataType::F32 })), + shape, data_type) { - TensorShape shape_min_max = shape; - shape_min_max.set(Window::DimX, 2); - - // Remove Y and Z dimensions and keep the batches - shape_min_max.remove_dimension(1); - shape_min_max.remove_dimension(1); - // Create tensors - CLTensor src = create_tensor<CLTensor>(shape, data_type); - CLTensor dst = create_tensor<CLTensor>(shape, DataType::F32); - CLTensor min_max = create_tensor<CLTensor>(shape_min_max, DataType::F32); + CLTensor src = create_tensor<CLTensor>(shape, DataType::QASYMM8, 1, QuantizationInfo(0.5f, -10)); + CLTensor dst = create_tensor<CLTensor>(shape, data_type); ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(min_max.info()->is_resizable(), framework::LogLevel::ERRORS); // Create and configure function CLDequantizationLayer dequant_layer; - dequant_layer.configure(&src, &dst, &min_max); + dequant_layer.configure(&src, &dst); // Validate valid region const ValidRegion valid_region = shape_to_valid_region(shape); validate(src.info()->valid_region(), valid_region); validate(dst.info()->valid_region(), valid_region); - // Validate valid region of min_max tensor - const ValidRegion valid_region_min_max = shape_to_valid_region(shape_min_max); - validate(min_max.info()->valid_region(), valid_region_min_max); - // Validate padding - const PaddingSize padding = PaddingCalculator(shape.x(), 4).required_padding(); - validate(src.info()->padding(), padding); - validate(dst.info()->padding(), padding); - - // Validate padding of min_max tensor - const PaddingSize padding_min_max = PaddingCalculator(shape_min_max.x(), 2).required_padding(); - validate(min_max.info()->padding(), padding_min_max); + validate(src.info()->padding(), PaddingSize()); + validate(dst.info()->padding(), PaddingSize()); } template <typename T> using CLDequantizationLayerFixture = DequantizationValidationFixture<CLTensor, CLAccessor, CLDequantizationLayer, T>; -TEST_SUITE(Integer) -TEST_SUITE(U8) -FIXTURE_DATA_TEST_CASE(RunSmall, CLDequantizationLayerFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small3DShapes(), datasets::Small4DShapes()), - framework::dataset::make("DataType", DataType::U8))) +TEST_SUITE(FP16) +FIXTURE_DATA_TEST_CASE(RunSmall, CLDequantizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), + framework::dataset::make("DataType", DataType::F16)), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.1f, 128.0f) }))) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLarge, CLDequantizationLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), + framework::dataset::make("DataType", DataType::F16)), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.1f, 128.0f) }))) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +TEST_SUITE_END() // FP16 + +TEST_SUITE(FP32) +FIXTURE_DATA_TEST_CASE(RunSmall, CLDequantizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), + framework::dataset::make("DataType", DataType::F32)), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.1f, 128.0f) }))) { // Validate output validate(CLAccessor(_target), _reference); } -FIXTURE_DATA_TEST_CASE(RunLarge, CLDequantizationLayerFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large3DShapes(), datasets::Large4DShapes()), - framework::dataset::make("DataType", DataType::U8))) +FIXTURE_DATA_TEST_CASE(RunLarge, CLDequantizationLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), + framework::dataset::make("DataType", DataType::F32)), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.1f, 128.0f) }))) { // Validate output validate(CLAccessor(_target), _reference); } -TEST_SUITE_END() // U8 -TEST_SUITE_END() // Integer +TEST_SUITE_END() // FP32 TEST_SUITE_END() // DequantizationLayer TEST_SUITE_END() // CL |