| /* |
| * Copyright (c) 2023-2024 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 |
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| * 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 |
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| * SOFTWARE. |
| */ |
| #ifndef ACL_INTERNAL_TEST_CKW_IN_DF // Do not include this test if ACL_INTERNAL_TEST_CKW_IN_DF and the op has not been ported to ckw |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuSoftmax.h" |
| |
| #include "tests/CL/CLAccessor.h" |
| #include "tests/datasets/ShapeDatasets.h" |
| #include "tests/framework/Asserts.h" |
| #include "tests/framework/datasets/Datasets.h" |
| #include "tests/framework/Fixture.h" |
| #include "tests/framework/Macros.h" |
| #include "tests/validation/fixtures/dynamic_fusion/operators/SoftmaxFixture.h" |
| #include "tests/validation/Validation.h" |
| |
| using namespace arm_compute::experimental::dynamic_fusion; |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| /** Tolerance for float operations */ |
| RelativeTolerance<half> tolerance_f16(half(0.2)); |
| RelativeTolerance<float> tolerance_f32(0.001f); |
| |
| TEST_SUITE(CL) |
| TEST_SUITE(DYNAMIC_FUSION) |
| TEST_SUITE(SOFTMAX) |
| |
| // *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(32U, 13U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U), 1, DataType::S32), // Unsupported data type |
| TensorInfo(TensorShape(32U, 13U), 1, DataType::F16), |
| TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), |
| |
| }), |
| framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U), 1, DataType::F16), |
| TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM16), // Unsupported data type |
| TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), |
| |
| })), |
| framework::dataset::make("beta", { 1.0, |
| 2.0, |
| 2.0, |
| 1.0, |
| 1.0, |
| 1.0, |
| 1.0, |
| 1.0, |
| 1.0, |
| 1.0, |
| })), |
| framework::dataset::make("axis", { |
| 0, |
| 0, |
| 1, // Invalid as axis != 0 |
| 0, |
| 0, |
| 0, |
| -3, // Invalid as axis != 0 |
| 2, // Invalid as axis != 0 |
| 1, // Invalid as axis != 0 |
| -1, // Invalid as axis != 0 |
| })), |
| framework::dataset::make("Expected", { false, false, false, true, false, false, false, false, false, false})), |
| input_info, output_info, beta, axis, expected) |
| { |
| // Create a new workload sketch |
| CLCompileContext cl_compile_ctx = CLKernelLibrary::get().get_compile_context(); |
| GpuWorkloadContext context = GpuWorkloadContext{ &cl_compile_ctx }; |
| GpuWorkloadSketch sketch{ &context }; |
| |
| SoftmaxAttributes softmax_attr{}; |
| softmax_attr.axis(axis).beta(beta).is_log_softmax(false); |
| ITensorInfo* src_info = context.create_tensor_info(input_info); |
| ITensorInfo* dst_info = context.create_tensor_info(output_info); |
| const bool res = static_cast<bool>(GpuSoftmax::validate_op(sketch, src_info, dst_info, softmax_attr)); |
| ARM_COMPUTE_EXPECT(res == expected, framework::LogLevel::ERRORS); |
| } |
| |
| template <typename T> |
| using DynamicFusionSoftmaxLayerFixture = DynamicFusionSoftmaxValidationFixture<CLTensor, CLAccessor, GpuSoftmax, T>; |
| |
| TEST_SUITE(FLOAT) |
| TEST_SUITE(FP32) |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, DynamicFusionSoftmaxLayerFixture<float>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), |
| framework::dataset::make("DataType", DataType::F32)), |
| framework::dataset::make("Beta", { 1.0f, 2.0f })), |
| framework::dataset::make("Axis", { 0 })), |
| framework::dataset::make("is_log", {false, true}))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, DynamicFusionSoftmaxLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), |
| framework::dataset::make("DataType", DataType::F32)), |
| framework::dataset::make("Beta", { 1.0f, 2.0f })), |
| framework::dataset::make("Axis", { 0 })), |
| framework::dataset::make("is_log", {false, true}))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| |
| |
| FIXTURE_DATA_TEST_CASE(Run4D, DynamicFusionSoftmaxLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::SoftmaxLayer4DShapes(), |
| framework::dataset::make("DataType", DataType::F32)), |
| framework::dataset::make("Beta", { 1.0f, 2.0f })), |
| framework::dataset::make("Axis", { 0 })), |
| framework::dataset::make("is_log", {false, true}))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| TEST_SUITE_END() // FP32 |
| TEST_SUITE(FP16) |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, DynamicFusionSoftmaxLayerFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), |
| framework::dataset::make("DataType", DataType::F16)), |
| framework::dataset::make("Beta", { 1.0f, 2.0f })), |
| framework::dataset::make("Axis", { 0 })), |
| framework::dataset::make("is_log", {false, true}))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f16); |
| } |
| |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, DynamicFusionSoftmaxLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), |
| framework::dataset::make("DataType", DataType::F16)), |
| framework::dataset::make("Beta", { 1.0f, 2.0f })), |
| framework::dataset::make("Axis", { 0 })), |
| framework::dataset::make("is_log", {false, true}))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f16); |
| } |
| |
| |
| FIXTURE_DATA_TEST_CASE(Run4D, DynamicFusionSoftmaxLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::SoftmaxLayer4DShapes(), |
| framework::dataset::make("DataType", DataType::F16)), |
| framework::dataset::make("Beta", { 1.0f, 2.0f })), |
| framework::dataset::make("Axis", { 0 })), |
| framework::dataset::make("is_log", {false, true}))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f16); |
| } |
| TEST_SUITE_END() // FP16 |
| TEST_SUITE_END() // FLOAT |
| |
| TEST_SUITE_END() // SOFTMAX |
| TEST_SUITE_END() // DYNAMIC_FUSION |
| TEST_SUITE_END() // CL |
| |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
| |
| #endif // ACL_INTERNAL_TEST_CKW_IN_DF |