| /* |
| * Copyright (c) 2017-2021 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/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" |
| |
| #include "arm_compute/runtime/MemoryManagerOnDemand.h" |
| #include "arm_compute/runtime/PoolManager.h" |
| #include "arm_compute/runtime/BlobLifetimeManager.h" |
| #include "arm_compute/runtime/CL/CLBufferAllocator.h" |
| #include "arm_compute/runtime/BlobMemoryPool.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); |
| constexpr AbsoluteTolerance<int8_t> tolerance_qasymm8_signed(1); |
| |
| /** CNN data types */ |
| const auto CNNDataTypes = framework::dataset::make("DataType", |
| { |
| DataType::QASYMM8, |
| DataType::F16, |
| DataType::F32, |
| }); |
| } // namespace |
| |
| TEST_SUITE(CL) |
| TEST_SUITE(SoftmaxLayer) |
| |
| TEST_CASE(SimpleMemoryManaged, framework::DatasetMode::ALL) |
| { |
| // The purpose of this test is to test if the function can |
| // run correctly even with the given memory manager from its caller |
| // (Similar scenario when the library is integrated into other software) |
| // especially when working with workspace() method of |
| // @ref arm_compute::opencl::ClSoftmax. |
| const auto shape = TensorShape{4,2}; // Random shape, not important |
| constexpr auto dt = DataType::F32; // Random data type, not important |
| |
| // Create a memory manager |
| auto lm = std::make_shared<BlobLifetimeManager>(); |
| auto pm = std::make_shared<arm_compute::PoolManager>(); |
| auto alloc = std::make_unique<CLBufferAllocator>(); |
| auto mm = std::make_shared<MemoryManagerOnDemand>(lm, pm); |
| |
| auto src = create_tensor<CLTensor>(shape, dt); |
| auto dst = create_tensor<CLTensor>(shape, dt); |
| src.allocator()->allocate(); |
| dst.allocator()->allocate(); |
| |
| // Create the function with the memory manager |
| CLSoftmaxLayer smx(mm); |
| smx.configure(&src, &dst); |
| |
| // Populate the memory, acquire() will happen in run() |
| mm->populate(*alloc.get(), 1); |
| |
| std::vector<float> input_vals{0.0f, 1.0f, 0.0f, 0.0f, 0.5f, 0.0f, 0.0f, 0.0f,}; |
| library->fill_static_values(CLAccessor(src), input_vals); |
| |
| smx.run(); |
| |
| // Compute reference to compare |
| SimpleTensor<float> ref_src{shape, dt}; |
| library->fill_static_values(ref_src, input_vals); |
| auto ref_dst = reference::softmax_layer<float>(ref_src, 1., 0, false); |
| |
| validate(CLAccessor(dst), ref_dst); |
| } |
| |
| // *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(32U, 13U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8, |
| QuantizationInfo(1.f/256, 12)), |
| TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8_SIGNED, |
| QuantizationInfo(1.f/256, 12)), |
| TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8_SIGNED, // Invalid axis high |
| QuantizationInfo(1.f/256, 12)), |
| TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8_SIGNED, // Invalid axis low |
| 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(32U, 13U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8, |
| QuantizationInfo(1.f/256, 0)), |
| TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8_SIGNED, |
| QuantizationInfo(1.f/256, -128)), |
| TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8_SIGNED, |
| QuantizationInfo(1.f/256, -128)), |
| TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8_SIGNED, |
| QuantizationInfo(1.f/256, -128)), |
| })), |
| framework::dataset::make("beta", { 1.0, |
| 2.0, |
| 1.0, |
| 2.0, |
| 1.0, |
| 2.0, |
| 1.0, |
| 2.0, |
| })), |
| framework::dataset::make("axis", { |
| 0, |
| 0, |
| 0, |
| 1, |
| 0, |
| -1, |
| 2, |
| -3, |
| })), |
| framework::dataset::make("Expected", { false, false, false, true, true, true, false, false })), |
| input_info, output_info, beta, axis, expected) |
| { |
| ARM_COMPUTE_EXPECT(bool(CLSoftmaxLayer::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 <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(combine(datasets::SoftmaxLayerSmallShapes(), |
| framework::dataset::make("DataType", DataType::F16)), |
| framework::dataset::make("Beta", { 1.0f, 2.0f })), |
| framework::dataset::make("Axis", { 0, -1 }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f16); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLSoftmaxLayerFixture<half>, 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", { 0 }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f16); |
| } |
| FIXTURE_DATA_TEST_CASE(Run4D, CLSoftmaxLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayer4DShapes(), |
| framework::dataset::make("DataType", DataType::F16)), |
| framework::dataset::make("Beta", { 1.0f, 2.0f })), |
| framework::dataset::make("Axis", { 0, -1, 2 }))) |
| { |
| // 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(combine(datasets::SoftmaxLayerSmallShapes(), |
| framework::dataset::make("DataType", DataType::F32)), |
| framework::dataset::make("Beta", { 1.0f, 2.0f })), |
| framework::dataset::make("Axis", { 0, 1 }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLSoftmaxLayerFixture<float>, 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", { 0 }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| FIXTURE_DATA_TEST_CASE(Run4D, CLSoftmaxLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayer4DShapes(), |
| framework::dataset::make("DataType", DataType::F32)), |
| framework::dataset::make("Beta", { 1.0f, 2.0f })), |
| framework::dataset::make("Axis", { 0, -2, 3 }))) |
| { |
| // 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(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", { 0, 1 }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLSoftmaxLayerQuantizedFixture<uint8_t>, 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", { 0 }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| } |
| FIXTURE_DATA_TEST_CASE(Run4D, CLSoftmaxLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(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 }))), |
| framework::dataset::make("Axis", { 0, -4, 1 }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| } |
| |
| TEST_SUITE_END() // QASYMM8 |
| |
| TEST_SUITE(QASYMM8_SIGNED) |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLSoftmaxLayerQuantizedFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), |
| framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), |
| combine(framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, -10) }), |
| framework::dataset::make("Beta", { 1.0f, 2.f }))), |
| framework::dataset::make("Axis", { 0, 1 }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8_signed); |
| } |
| |
| TEST_SUITE_END() // QASYMM8_SIGNED |
| TEST_SUITE_END() // Quantized |
| TEST_SUITE_END() // SoftmaxLayer |
| TEST_SUITE_END() // CL |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |