Ramy Elgammal | 002e653 | 2023-01-11 18:48:04 +0000 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2023 Arm Limited. |
| 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #include "arm_compute/core/Types.h" |
| 25 | #include "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuSoftmax.h" |
| 26 | |
| 27 | #include "tests/CL/CLAccessor.h" |
| 28 | #include "tests/datasets/ShapeDatasets.h" |
| 29 | #include "tests/framework/Asserts.h" |
| 30 | #include "tests/framework/Fixture.h" |
| 31 | #include "tests/framework/Macros.h" |
| 32 | #include "tests/framework/datasets/Datasets.h" |
| 33 | #include "tests/validation/Validation.h" |
| 34 | #include "tests/validation/fixtures/dynamic_fusion/operators/SoftmaxFixture.h" |
| 35 | |
| 36 | using namespace arm_compute::experimental::dynamic_fusion; |
| 37 | |
| 38 | namespace arm_compute |
| 39 | { |
| 40 | namespace test |
| 41 | { |
| 42 | namespace validation |
| 43 | { |
| 44 | /** Tolerance for float operations */ |
| 45 | RelativeTolerance<half> tolerance_f16(half(0.2)); |
| 46 | RelativeTolerance<float> tolerance_f32(0.001f); |
| 47 | |
| 48 | TEST_SUITE(CL) |
| 49 | TEST_SUITE(DYNAMIC_FUSION) |
| 50 | TEST_SUITE(SOFTMAX) |
| 51 | |
| 52 | // *INDENT-OFF* |
| 53 | // clang-format off |
| 54 | DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip( |
| 55 | framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Mismatching data types |
| 56 | TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Mismatching shapes |
| 57 | TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), |
| 58 | TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), |
| 59 | TensorInfo(TensorShape(32U, 13U), 1, DataType::S32), // Unsupported data type |
| 60 | TensorInfo(TensorShape(32U, 13U), 1, DataType::F16), |
| 61 | TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), |
| 62 | TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), |
| 63 | TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), |
| 64 | TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), |
| 65 | |
| 66 | }), |
| 67 | framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U), 1, DataType::F16), |
| 68 | TensorInfo(TensorShape(27U, 11U), 1, DataType::F32), |
| 69 | TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), |
| 70 | TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), |
| 71 | TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), |
| 72 | TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM16), // Unsupported data type |
| 73 | TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), |
| 74 | TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), |
| 75 | TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), |
| 76 | TensorInfo(TensorShape(32U, 13U), 1, DataType::F32), |
| 77 | |
| 78 | })), |
| 79 | framework::dataset::make("beta", { 1.0, |
| 80 | 2.0, |
| 81 | 2.0, |
| 82 | 1.0, |
| 83 | 1.0, |
| 84 | 1.0, |
| 85 | 1.0, |
| 86 | 1.0, |
| 87 | 1.0, |
| 88 | 1.0, |
| 89 | })), |
| 90 | framework::dataset::make("axis", { |
| 91 | 0, |
| 92 | 0, |
| 93 | 1, // Invalid as axis != 0 |
| 94 | 0, |
| 95 | 0, |
| 96 | 0, |
| 97 | -3, // Invalid as axis != 0 |
| 98 | 2, // Invalid as axis != 0 |
| 99 | 1, // Invalid as axis != 0 |
| 100 | -1, // Invalid as axis != 0 |
| 101 | })), |
| 102 | framework::dataset::make("Expected", { false, false, false, true, false, false, false, false, false, false})), |
| 103 | input_info, output_info, beta, axis, expected) |
| 104 | { |
| 105 | // Create a new workload sketch |
| 106 | CLCompileContext cl_compile_ctx = CLKernelLibrary::get().get_compile_context(); |
Viet-Hoa Do | 3fcf3dc | 2023-05-17 15:17:48 +0100 | [diff] [blame] | 107 | GpuWorkloadContext context = GpuWorkloadContext{ &cl_compile_ctx }; |
| 108 | GpuWorkloadSketch sketch{ &context }; |
Ramy Elgammal | 002e653 | 2023-01-11 18:48:04 +0000 | [diff] [blame] | 109 | |
| 110 | SoftmaxAttributes softmax_attr{}; |
| 111 | softmax_attr.axis(axis).beta(beta).is_log_softmax(false); |
Viet-Hoa Do | 3fcf3dc | 2023-05-17 15:17:48 +0100 | [diff] [blame] | 112 | TensorInfo src_info = context.create_tensor_info(input_info); |
| 113 | TensorInfo dst_info = context.create_tensor_info(output_info); |
Ramy Elgammal | 002e653 | 2023-01-11 18:48:04 +0000 | [diff] [blame] | 114 | const bool res = static_cast<bool>(GpuSoftmax::validate_op(sketch, &src_info, &dst_info, softmax_attr)); |
| 115 | ARM_COMPUTE_EXPECT(res == expected, framework::LogLevel::ERRORS); |
| 116 | } |
| 117 | |
| 118 | template <typename T> |
| 119 | using DynamicFusionSoftmaxLayerFixture = DynamicFusionSoftmaxValidationFixture<CLTensor, CLAccessor, GpuSoftmax, T>; |
| 120 | |
| 121 | TEST_SUITE(FLOAT) |
| 122 | TEST_SUITE(FP32) |
| 123 | |
| 124 | FIXTURE_DATA_TEST_CASE(RunSmall, DynamicFusionSoftmaxLayerFixture<float>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), |
| 125 | framework::dataset::make("DataType", DataType::F32)), |
| 126 | framework::dataset::make("Beta", { 1.0f, 2.0f })), |
| 127 | framework::dataset::make("Axis", { 0 })), |
| 128 | framework::dataset::make("is_log", {false, true}))) |
| 129 | { |
| 130 | // Validate output |
| 131 | validate(CLAccessor(_target), _reference, tolerance_f32); |
| 132 | } |
| 133 | |
| 134 | |
| 135 | FIXTURE_DATA_TEST_CASE(RunLarge, DynamicFusionSoftmaxLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), |
| 136 | framework::dataset::make("DataType", DataType::F32)), |
| 137 | framework::dataset::make("Beta", { 1.0f, 2.0f })), |
| 138 | framework::dataset::make("Axis", { 0 })), |
| 139 | framework::dataset::make("is_log", {false, true}))) |
| 140 | { |
| 141 | // Validate output |
| 142 | validate(CLAccessor(_target), _reference, tolerance_f32); |
| 143 | } |
| 144 | |
| 145 | |
| 146 | FIXTURE_DATA_TEST_CASE(Run4D, DynamicFusionSoftmaxLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::SoftmaxLayer4DShapes(), |
| 147 | framework::dataset::make("DataType", DataType::F32)), |
| 148 | framework::dataset::make("Beta", { 1.0f, 2.0f })), |
| 149 | framework::dataset::make("Axis", { 0 })), |
| 150 | framework::dataset::make("is_log", {false, true}))) |
| 151 | { |
| 152 | // Validate output |
| 153 | validate(CLAccessor(_target), _reference, tolerance_f32); |
| 154 | } |
| 155 | TEST_SUITE_END() // FP32 |
| 156 | TEST_SUITE(FP16) |
| 157 | |
| 158 | FIXTURE_DATA_TEST_CASE(RunSmall, DynamicFusionSoftmaxLayerFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SoftmaxLayerSmallShapes(), |
| 159 | framework::dataset::make("DataType", DataType::F16)), |
| 160 | framework::dataset::make("Beta", { 1.0f, 2.0f })), |
| 161 | framework::dataset::make("Axis", { 0 })), |
| 162 | framework::dataset::make("is_log", {false, true}))) |
| 163 | { |
| 164 | // Validate output |
| 165 | validate(CLAccessor(_target), _reference, tolerance_f16); |
| 166 | } |
| 167 | |
| 168 | |
| 169 | FIXTURE_DATA_TEST_CASE(RunLarge, DynamicFusionSoftmaxLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::SoftmaxLayerLargeShapes(), |
| 170 | framework::dataset::make("DataType", DataType::F16)), |
| 171 | framework::dataset::make("Beta", { 1.0f, 2.0f })), |
| 172 | framework::dataset::make("Axis", { 0 })), |
| 173 | framework::dataset::make("is_log", {false, true}))) |
| 174 | { |
| 175 | // Validate output |
| 176 | validate(CLAccessor(_target), _reference, tolerance_f16); |
| 177 | } |
| 178 | |
| 179 | |
| 180 | FIXTURE_DATA_TEST_CASE(Run4D, DynamicFusionSoftmaxLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::SoftmaxLayer4DShapes(), |
| 181 | framework::dataset::make("DataType", DataType::F16)), |
| 182 | framework::dataset::make("Beta", { 1.0f, 2.0f })), |
| 183 | framework::dataset::make("Axis", { 0 })), |
| 184 | framework::dataset::make("is_log", {false, true}))) |
| 185 | { |
| 186 | // Validate output |
| 187 | validate(CLAccessor(_target), _reference, tolerance_f16); |
| 188 | } |
| 189 | TEST_SUITE_END() // FP16 |
| 190 | TEST_SUITE_END() // FLOAT |
| 191 | |
| 192 | TEST_SUITE_END() // SOFTMAX |
| 193 | TEST_SUITE_END() // DYNAMIC_FUSION |
| 194 | TEST_SUITE_END() // CL |
| 195 | |
| 196 | } // namespace validation |
| 197 | } // namespace test |
| 198 | } // namespace arm_compute |