| /* |
| * Copyright (c) 2017-2018 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/CL/kernels/CLSoftmaxLayerKernel.h" |
| #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/CLSoftmaxLayer.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/SoftmaxLayerFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace |
| { |
| /** Tolerance for float operations */ |
| RelativeTolerance<half> tolerance_f16(half(0.2)); |
| RelativeTolerance<float> tolerance_f32(0.001f); |
| |
| /** Tolerance for quantized operations */ |
| constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); |
| |
| /** CNN data types */ |
| const auto CNNDataTypes = framework::dataset::make("DataType", |
| { |
| DataType::QASYMM8, |
| DataType::F16, |
| DataType::F32, |
| }); |
| } // namespace |
| |
| TEST_SUITE(CL) |
| TEST_SUITE(SoftmaxLayer) |
| |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SoftmaxLayerSmallShapes(), datasets::SoftmaxLayerLargeShapes()), CNNDataTypes), shape, data_type) |
| { |
| const QuantizationInfo quantization_info = is_data_type_quantized_asymmetric(data_type) ? QuantizationInfo(1.f / 255.f, 0) : QuantizationInfo(); |
| |
| // Create tensors |
| CLTensor src = create_tensor<CLTensor>(shape, data_type, 1, quantization_info); |
| CLTensor dst = create_tensor<CLTensor>(shape, data_type, 1, QuantizationInfo(1.f / 256.f, 0)); |
| |
| ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Create and configure function |
| CLSoftmaxLayer smx_layer; |
| smx_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); |
| |
| // CLLogits1DMaxShiftExpSumKernel configures the paddings only in the 2D case |
| if(shape.num_dimensions() <= 2) |
| { |
| // Get reduction kernel info |
| CLLogits1DMaxShiftExpSumKernel::ParallelReductionInfo reduction_info = CLLogits1DMaxShiftExpSumKernel::is_parallel_reduction(shape.x()); |
| |
| // Validate src padding for 2D softmax |
| const PaddingSize padding_src = PaddingCalculator(shape.x(), std::get<1>(reduction_info)).required_padding(); |
| validate(src.info()->padding(), padding_src); |
| |
| // Validate dst padding for 2D softmax |
| const PaddingSize padding_dst = PaddingCalculator(shape.x(), 16).required_padding(); |
| validate(dst.info()->padding(), padding_dst); |
| } |
| } |
| |
| // *INDENT-OFF* |
| // clang-format off |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip( |
| framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Mismatching data types |
| TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Mismatching shapes |
| TensorInfo(TensorShape(27U, 13U), 1, DataType::QASYMM8, // Invalid output quantization info |
| QuantizationInfo(1.f/256, 12)), |
| TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Window shrink |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),// Invalid input dimensionality |
| TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8, |
| QuantizationInfo(1.f/256, 12)), |
| }), |
| framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U), 1, DataType::F16), |
| TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), |
| TensorInfo(TensorShape(27U, 13U), 1, DataType::QASYMM8, |
| QuantizationInfo(1.f/256, 12)), |
| TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8, |
| QuantizationInfo(1.f/256, 0)), |
| })), |
| framework::dataset::make("Expected", { false, false, false, false, false, true, true })), |
| input_info, output_info, expected) |
| { |
| ARM_COMPUTE_EXPECT(bool(CLSoftmaxLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS); |
| } |
| // clang-format on |
| // *INDENT-ON* |
| |
| template <typename T> |
| using CLSoftmaxLayerFixture = SoftmaxValidationFixture<CLTensor, CLAccessor, CLSoftmaxLayer, T>; |
| |
| TEST_SUITE(Float) |
| TEST_SUITE(FP16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLSoftmaxLayerFixture<half>, framework::DatasetMode::ALL, combine(combine(datasets::SoftmaxLayerSmallShapes(), |
| framework::dataset::make("DataType", DataType::F16)), |
| framework::dataset::make("Beta", { 1.0f, 2.0f }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f16); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLSoftmaxLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::SoftmaxLayerLargeShapes(), |
| framework::dataset::make("DataType", DataType::F16)), |
| framework::dataset::make("Beta", { 1.0f, 2.0f }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f16); |
| } |
| FIXTURE_DATA_TEST_CASE(Run4D, CLSoftmaxLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::SoftmaxLayer4DShapes(), |
| framework::dataset::make("DataType", DataType::F16)), |
| framework::dataset::make("Beta", { 1.0f, 2.0f }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f16); |
| } |
| TEST_SUITE_END() |
| |
| TEST_SUITE(FP32) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLSoftmaxLayerFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::SoftmaxLayerSmallShapes(), |
| framework::dataset::make("DataType", DataType::F32)), |
| framework::dataset::make("Beta", { 1.0f, 2.0f }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLSoftmaxLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::SoftmaxLayerLargeShapes(), |
| framework::dataset::make("DataType", DataType::F32)), |
| framework::dataset::make("Beta", { 1.0f, 2.0f }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| FIXTURE_DATA_TEST_CASE(Run4D, CLSoftmaxLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::SoftmaxLayer4DShapes(), |
| framework::dataset::make("DataType", DataType::F32)), |
| framework::dataset::make("Beta", { 1.0f, 2.0f }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| |
| template <typename T> |
| using CLSoftmaxLayerQuantizedFixture = SoftmaxValidationQuantizedFixture<CLTensor, CLAccessor, CLSoftmaxLayer, T>; |
| |
| TEST_SUITE(Quantized) |
| TEST_SUITE(QASYMM8) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLSoftmaxLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(datasets::SoftmaxLayerSmallShapes(), |
| framework::dataset::make("DataType", DataType::QASYMM8)), |
| combine(framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, -10) }), |
| framework::dataset::make("Beta", { 1.0f, 2.f })))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLSoftmaxLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::SoftmaxLayerLargeShapes(), |
| framework::dataset::make("DataType", DataType::QASYMM8)), |
| combine(framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, -10) }), |
| framework::dataset::make("Beta", { 1.0f, 2.0f })))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| } |
| FIXTURE_DATA_TEST_CASE(Run4D, CLSoftmaxLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::SoftmaxLayer4DShapes(), |
| framework::dataset::make("DataType", DataType::QASYMM8)), |
| combine(framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, -10) }), |
| framework::dataset::make("Beta", { 1.0f, 2.0f })))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| } |
| |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |