/* * 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/NEON/functions/NESoftmaxLayer.h" #include "arm_compute/runtime/Tensor.h" #include "arm_compute/runtime/TensorAllocator.h" #include "tests/NEON/Accessor.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 */ constexpr AbsoluteTolerance tolerance_f32(0.000001f); RelativeTolerance tolerance_f16(half(0.2)); /** Tolerance for quantized operations */ constexpr AbsoluteTolerance tolerance_qasymm8(1); /** CNN data types */ const auto CNNDataTypes = framework::dataset::make("DataType", { #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC DataType::F16, #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ DataType::F32, }); } // namespace TEST_SUITE(NEON) TEST_SUITE(SoftmaxLayer) DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Medium2DShapes()), CNNDataTypes), shape, data_type) { const QuantizationInfo quantization_info = is_data_type_quantized_asymmetric(data_type) ? QuantizationInfo(1.f / 255.f, 0) : QuantizationInfo(); // Create tensors Tensor src = create_tensor(shape, data_type, 1, quantization_info); Tensor dst = create_tensor(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 NESoftmaxLayer 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); // NESoftmaxLayer configures the paddings only in the 2D case if(shape.num_dimensions() <= 2) { // Validate padding const int step = 16 / data_size_from_type(data_type); const PaddingSize padding = PaddingCalculator(shape.x(), step).required_padding(); validate(src.info()->padding(), padding); validate(dst.info()->padding(), PaddingSize()); } } // *INDENT-OFF* // clang-format off DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(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)), TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8, //Invalid axis value 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)), TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8, QuantizationInfo(1.f/256, 0)), })), framework::dataset::make("beta", { 1.0, 2.0, 1.0, 2.0, 1.0, 2.0, 1.0, 2.0, 1.0, })), framework::dataset::make("axis", { 1, 1, 1, 1, 1, 1, 1, 0, })), framework::dataset::make("Expected", { false, false, false, false, false, true, true, false })), input_info, output_info, beta, axis, expected) { ARM_COMPUTE_EXPECT(bool(NESoftmaxLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), beta, axis)) == expected, framework::LogLevel::ERRORS); } // clang-format on // *INDENT-ON* template using NESoftmaxLayerFixture = SoftmaxValidationFixture; TEST_SUITE(Float) #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC TEST_SUITE(FP16) FIXTURE_DATA_TEST_CASE(RunSmall, NESoftmaxLayerFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("Beta", { 1.0f, 2.0f })), framework::dataset::make("Axis", { 1 }))) { // Validate output validate(Accessor(_target), _reference, tolerance_f16); } FIXTURE_DATA_TEST_CASE(RunSmall4D, NESoftmaxLayerFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Beta", { 1.0f, 2.0f })), framework::dataset::make("Axis", { 1, 2, 3 }))) { // Validate output validate(Accessor(_target), _reference, tolerance_f32); } FIXTURE_DATA_TEST_CASE(RunLarge, NESoftmaxLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("Beta", { 1.0f, 2.0f })), framework::dataset::make("Axis", { 1 }))) { // Validate output validate(Accessor(_target), _reference, tolerance_f16); } TEST_SUITE_END() //FP16 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ TEST_SUITE(FP32) FIXTURE_DATA_TEST_CASE(RunSmall2D, NESoftmaxLayerFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Beta", { 1.0f, 2.0f })), framework::dataset::make("Axis", { 1 }))) { // Validate output validate(Accessor(_target), _reference, tolerance_f32); } FIXTURE_DATA_TEST_CASE(RunSmall4D, NESoftmaxLayerFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Beta", { 1.0f, 2.0f })), framework::dataset::make("Axis", { 1, 2, 3 }))) { // Validate output validate(Accessor(_target), _reference, tolerance_f32); } FIXTURE_DATA_TEST_CASE(RunLarge, NESoftmaxLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Beta", { 1.0f, 2.0f })), framework::dataset::make("Axis", { 1 }))) { // Validate output validate(Accessor(_target), _reference, tolerance_f32); } TEST_SUITE_END() //FP32 TEST_SUITE_END() //Float template using NESoftmaxLayerQuantizedFixture = SoftmaxValidationQuantizedFixture; TEST_SUITE(Quantized) TEST_SUITE(QASYMM8) FIXTURE_DATA_TEST_CASE(RunSmall2D, NESoftmaxLayerQuantizedFixture, framework::DatasetMode::ALL, combine(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 }))), framework::dataset::make("Axis", { 1 }))) { // Validate output validate(Accessor(_target), _reference, tolerance_qasymm8); } FIXTURE_DATA_TEST_CASE(RunSmall4D, NESoftmaxLayerQuantizedFixture, framework::DatasetMode::ALL, combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), combine(framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, -10) }), framework::dataset::make("Beta", { 1.0f, 2.f }))), framework::dataset::make("Axis", { 1, 2, 3 }))) { // Validate output validate(Accessor(_target), _reference, tolerance_qasymm8); } FIXTURE_DATA_TEST_CASE(RunLarge, NESoftmaxLayerQuantizedFixture, framework::DatasetMode::NIGHTLY, combine(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 }))), framework::dataset::make("Axis", { 1 }))) { // Validate output validate(Accessor(_target), _reference, tolerance_qasymm8); } TEST_SUITE_END() //QASYMM8 TEST_SUITE_END() //Quantized TEST_SUITE_END() //SoftmaxLayer TEST_SUITE_END() //NEON } // namespace validation } // namespace test } // namespace arm_compute