| /* |
| * Copyright (c) 2017-2019 ARM Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/runtime/CL/CLTensor.h" |
| #include "arm_compute/runtime/CL/CLTensorAllocator.h" |
| #include "arm_compute/runtime/CL/functions/CLQuantizationLayer.h" |
| #include "tests/CL/CLAccessor.h" |
| #include "tests/PaddingCalculator.h" |
| #include "tests/datasets/ShapeDatasets.h" |
| #include "tests/framework/Asserts.h" |
| #include "tests/framework/Macros.h" |
| #include "tests/framework/datasets/Datasets.h" |
| #include "tests/validation/Validation.h" |
| #include "tests/validation/fixtures/QuantizationLayerFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| 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 QuantizationSmallShapes = concat(datasets::Small3DShapes(), datasets::Small4DShapes()); |
| const auto QuantizationLargeShapes = concat(datasets::Large3DShapes(), datasets::Large4DShapes()); |
| } // 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::QASYMM8), // Wrong input data type |
| TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), // Wrong output data type |
| TensorInfo(TensorShape(16U, 16U, 2U, 5U), 1, DataType::F32), // Mismatching shapes |
| 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, 16U, 16U, 5U), 1, DataType::U16), |
| TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), |
| TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), |
| })), |
| framework::dataset::make("Expected", { 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(QuantizationSmallShapes, framework::dataset::make("DataType", DataType::F32)), shape, data_type) |
| { |
| // Create tensors |
| CLTensor src = create_tensor<CLTensor>(shape, data_type); |
| CLTensor dst = create_tensor<CLTensor>(shape, DataType::QASYMM8); |
| |
| ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Create and configure function |
| CLQuantizationLayer quant_layer; |
| quant_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 padding |
| validate(src.info()->padding(), PaddingSize()); |
| validate(dst.info()->padding(), PaddingSize()); |
| } |
| |
| template <typename T> |
| using CLQuantizationLayerQASYMM8Fixture = QuantizationValidationFixture<CLTensor, CLAccessor, CLQuantizationLayer, T, uint8_t>; |
| template <typename T> |
| using CLQuantizationLayerQASYMM16Fixture = QuantizationValidationFixture<CLTensor, CLAccessor, CLQuantizationLayer, T, uint16_t>; |
| |
| TEST_SUITE(Float) |
| TEST_SUITE(FP32) |
| FIXTURE_DATA_TEST_CASE(RunSmallQASYMM8, CLQuantizationLayerQASYMM8Fixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(QuantizationSmallShapes, |
| framework::dataset::make("DataTypeIn", DataType::F32)), |
| framework::dataset::make("DataTypeOut", { DataType::QASYMM8 })), |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| FIXTURE_DATA_TEST_CASE(RunSmallQASYMM16, CLQuantizationLayerQASYMM16Fixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(QuantizationSmallShapes, |
| framework::dataset::make("DataTypeIn", DataType::F32)), |
| framework::dataset::make("DataTypeOut", { DataType::QASYMM16 })), |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLargeQASYMM8, CLQuantizationLayerQASYMM8Fixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(QuantizationLargeShapes, |
| framework::dataset::make("DataTypeIn", DataType::F32)), |
| framework::dataset::make("DataTypeOut", { DataType::QASYMM8 })), |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLargeQASYMM16, CLQuantizationLayerQASYMM16Fixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(QuantizationLargeShapes, |
| framework::dataset::make("DataTypeIn", DataType::F32)), |
| framework::dataset::make("DataTypeOut", { DataType::QASYMM16 })), |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| TEST_SUITE_END() // FP32 |
| |
| TEST_SUITE(FP16) |
| FIXTURE_DATA_TEST_CASE(RunSmallQASYMM8, CLQuantizationLayerQASYMM8Fixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(QuantizationSmallShapes, |
| framework::dataset::make("DataTypeIn", DataType::F16)), |
| framework::dataset::make("DataTypeOut", { DataType::QASYMM8 })), |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLargeQASYMM8, CLQuantizationLayerQASYMM8Fixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(QuantizationLargeShapes, |
| framework::dataset::make("DataTypeIn", DataType::F16)), |
| framework::dataset::make("DataTypeOut", { DataType::QASYMM8 })), |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| TEST_SUITE_END() // FP16 |
| TEST_SUITE_END() // Float |
| |
| TEST_SUITE_END() // QuantizationLayer |
| TEST_SUITE_END() // CL |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |