diff options
Diffstat (limited to 'tests/validation/CL/QuantizationLayer.cpp')
| -rw-r--r-- | tests/validation/CL/QuantizationLayer.cpp | 41 |
1 files changed, 32 insertions, 9 deletions
diff --git a/tests/validation/CL/QuantizationLayer.cpp b/tests/validation/CL/QuantizationLayer.cpp index 0747fe9da3..f0cc4ccafa 100644 --- a/tests/validation/CL/QuantizationLayer.cpp +++ b/tests/validation/CL/QuantizationLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2019 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -43,15 +43,38 @@ namespace validation namespace { constexpr AbsoluteTolerance<float> tolerance_f32(1.0f); /**< Tolerance value for comparing reference's output against implementation's output for floating point data types */ -const auto QuantizationShapes = concat(concat(concat(datasets::Small3DShapes(), - datasets::Large3DShapes()), - datasets::Small4DShapes()), - datasets::Large4DShapes()); +const auto QuantizationShapes = concat(datasets::Small3DShapes(), + datasets::Small4DShapes()); } // namespace TEST_SUITE(CL) TEST_SUITE(QuantizationLayer) +// *INDENT-OFF* +// clang-format off +DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip( + framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8), // Wrong input data type + TensorInfo(TensorShape(16U, 5U, 16U), 1, DataType::U8), // Invalid shape + TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), // Wrong output data type + TensorInfo(TensorShape(16U, 16U, 2U, 5U), 1, DataType::U8), // Mismatching shapes + TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::U8), // Shrink window + TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), // 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::U16), + 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::U8), + })), + framework::dataset::make("Expected", { false, false, false, false, false, true})), + input_info, output_info, expected) +{ + ARM_COMPUTE_EXPECT(bool(CLQuantizationLayer::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(QuantizationShapes, framework::dataset::make("DataType", DataType::F32)), shape, data_type) { // Create tensors @@ -93,11 +116,11 @@ FIXTURE_DATA_TEST_CASE(RunLarge, CLQuantizationLayerFixture<float>, framework::D // Validate output validate(CLAccessor(_target), _reference, tolerance_f32); } -TEST_SUITE_END() -TEST_SUITE_END() +TEST_SUITE_END() // FP32 +TEST_SUITE_END() // Float -TEST_SUITE_END() -TEST_SUITE_END() +TEST_SUITE_END() // QuantizationLayer +TEST_SUITE_END() // CL } // namespace validation } // namespace test } // namespace arm_compute |