Georgios Pinitas | b785dd4 | 2019-09-19 12:09:32 +0100 | [diff] [blame] | 1 | /* |
Georgios Pinitas | 856f66e | 2021-04-22 21:13:21 +0100 | [diff] [blame] | 2 | * Copyright (c) 2019-2021 Arm Limited. |
Georgios Pinitas | b785dd4 | 2019-09-19 12:09:32 +0100 | [diff] [blame] | 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/runtime/BlobLifetimeManager.h" |
| 25 | #include "arm_compute/runtime/CL/CLBufferAllocator.h" |
Georgios Pinitas | 2ff0009 | 2019-09-30 16:50:08 +0100 | [diff] [blame] | 26 | #include "arm_compute/runtime/CL/functions/CLConvolutionLayer.h" |
Georgios Pinitas | b785dd4 | 2019-09-19 12:09:32 +0100 | [diff] [blame] | 27 | #include "arm_compute/runtime/CL/functions/CLL2NormalizeLayer.h" |
| 28 | #include "arm_compute/runtime/MemoryGroup.h" |
| 29 | #include "arm_compute/runtime/MemoryManagerOnDemand.h" |
| 30 | #include "arm_compute/runtime/PoolManager.h" |
Sang-Hoon Park | bef7fa2 | 2020-10-21 15:58:54 +0100 | [diff] [blame] | 31 | #include "src/core/CL/kernels/CLFillBorderKernel.h" |
Sang-Hoon Park | bef7fa2 | 2020-10-21 15:58:54 +0100 | [diff] [blame] | 32 | #include "src/core/CL/kernels/CLL2NormalizeLayerKernel.h" |
| 33 | #include "src/core/CL/kernels/CLReductionOperationKernel.h" |
Georgios Pinitas | b785dd4 | 2019-09-19 12:09:32 +0100 | [diff] [blame] | 34 | #include "tests/AssetsLibrary.h" |
| 35 | #include "tests/CL/CLAccessor.h" |
| 36 | #include "tests/Globals.h" |
| 37 | #include "tests/Utils.h" |
| 38 | #include "tests/framework/Asserts.h" |
| 39 | #include "tests/framework/Macros.h" |
| 40 | #include "tests/framework/datasets/Datasets.h" |
Georgios Pinitas | 2ff0009 | 2019-09-30 16:50:08 +0100 | [diff] [blame] | 41 | #include "tests/validation/Validation.h" |
Georgios Pinitas | b785dd4 | 2019-09-19 12:09:32 +0100 | [diff] [blame] | 42 | #include "tests/validation/fixtures/UNIT/DynamicTensorFixture.h" |
| 43 | |
| 44 | namespace arm_compute |
| 45 | { |
| 46 | namespace test |
| 47 | { |
| 48 | namespace validation |
| 49 | { |
| 50 | namespace |
| 51 | { |
Georgios Pinitas | 2ff0009 | 2019-09-30 16:50:08 +0100 | [diff] [blame] | 52 | constexpr AbsoluteTolerance<float> absolute_tolerance_float(0.0001f); /**< Absolute Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ |
| 53 | RelativeTolerance<float> tolerance_f32(0.1f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ |
| 54 | constexpr float tolerance_num = 0.07f; /**< Tolerance number */ |
Michalis Spyrou | 5cb49dc | 2019-12-03 13:42:25 +0000 | [diff] [blame] | 55 | } // namespace |
Georgios Pinitas | 2ff0009 | 2019-09-30 16:50:08 +0100 | [diff] [blame] | 56 | |
Michalis Spyrou | 5cb49dc | 2019-12-03 13:42:25 +0000 | [diff] [blame] | 57 | #ifndef DOXYGEN_SKIP_THIS |
Georgios Pinitas | b785dd4 | 2019-09-19 12:09:32 +0100 | [diff] [blame] | 58 | using CLL2NormLayerWrapper = SimpleFunctionWrapper<MemoryManagerOnDemand, CLL2NormalizeLayer, ICLTensor>; |
| 59 | template <> |
| 60 | void CLL2NormLayerWrapper::configure(ICLTensor *src, ICLTensor *dst) |
| 61 | { |
| 62 | _func.configure(src, dst, 0, 0.0001f); |
| 63 | } |
Michalis Spyrou | 5cb49dc | 2019-12-03 13:42:25 +0000 | [diff] [blame] | 64 | #endif // DOXYGEN_SKIP_THIS |
Georgios Pinitas | b785dd4 | 2019-09-19 12:09:32 +0100 | [diff] [blame] | 65 | TEST_SUITE(CL) |
| 66 | TEST_SUITE(UNIT) |
| 67 | TEST_SUITE(DynamicTensor) |
| 68 | |
Georgios Pinitas | 2ff0009 | 2019-09-30 16:50:08 +0100 | [diff] [blame] | 69 | using BlobMemoryManagementService = MemoryManagementService<CLBufferAllocator, BlobLifetimeManager, PoolManager, MemoryManagerOnDemand>; |
| 70 | using CLDynamicTensorType3SingleFunction = DynamicTensorType3SingleFunction<CLTensor, CLAccessor, BlobMemoryManagementService, CLL2NormLayerWrapper>; |
Georgios Pinitas | b785dd4 | 2019-09-19 12:09:32 +0100 | [diff] [blame] | 71 | |
| 72 | /** Tests the memory manager with dynamic input and output tensors. |
| 73 | * |
| 74 | * Create and manage the tensors needed to run a simple function. After the function is executed, |
| 75 | * change the input and output size requesting more memory and go through the manage/allocate process. |
| 76 | * The memory manager should be able to update the inner structures and allocate the requested memory |
| 77 | * */ |
| 78 | FIXTURE_DATA_TEST_CASE(DynamicTensorType3Single, CLDynamicTensorType3SingleFunction, framework::DatasetMode::ALL, |
| 79 | framework::dataset::zip(framework::dataset::make("Level0Shape", { TensorShape(12U, 11U, 3U), TensorShape(256U, 8U, 12U) }), |
| 80 | framework::dataset::make("Level1Shape", { TensorShape(67U, 31U, 15U), TensorShape(11U, 2U, 3U) }))) |
| 81 | { |
| 82 | ARM_COMPUTE_EXPECT(internal_l0.size() == internal_l1.size(), framework::LogLevel::ERRORS); |
| 83 | ARM_COMPUTE_EXPECT(cross_l0.size() == cross_l1.size(), framework::LogLevel::ERRORS); |
| 84 | |
| 85 | const unsigned int internal_size = internal_l0.size(); |
| 86 | const unsigned int cross_size = cross_l0.size(); |
| 87 | if(input_l0.total_size() < input_l1.total_size()) |
| 88 | { |
| 89 | for(unsigned int i = 0; i < internal_size; ++i) |
| 90 | { |
| 91 | ARM_COMPUTE_EXPECT(internal_l0[i].size < internal_l1[i].size, framework::LogLevel::ERRORS); |
| 92 | } |
| 93 | for(unsigned int i = 0; i < cross_size; ++i) |
| 94 | { |
| 95 | ARM_COMPUTE_EXPECT(cross_l0[i].size < cross_l1[i].size, framework::LogLevel::ERRORS); |
| 96 | } |
| 97 | } |
| 98 | else |
| 99 | { |
| 100 | for(unsigned int i = 0; i < internal_size; ++i) |
| 101 | { |
| 102 | ARM_COMPUTE_EXPECT(internal_l0[i].size == internal_l1[i].size, framework::LogLevel::ERRORS); |
| 103 | } |
| 104 | for(unsigned int i = 0; i < cross_size; ++i) |
| 105 | { |
| 106 | ARM_COMPUTE_EXPECT(cross_l0[i].size == cross_l1[i].size, framework::LogLevel::ERRORS); |
| 107 | } |
| 108 | } |
| 109 | } |
| 110 | |
Georgios Pinitas | 2ff0009 | 2019-09-30 16:50:08 +0100 | [diff] [blame] | 111 | using CLDynamicTensorType3ComplexFunction = DynamicTensorType3ComplexFunction<CLTensor, CLAccessor, BlobMemoryManagementService, CLConvolutionLayer>; |
| 112 | /** Tests the memory manager with dynamic input and output tensors. |
| 113 | * |
| 114 | * Create and manage the tensors needed to run a complex function. After the function is executed, |
| 115 | * change the input and output size requesting more memory and go through the manage/allocate process. |
| 116 | * The memory manager should be able to update the inner structures and allocate the requested memory |
| 117 | * */ |
| 118 | FIXTURE_DATA_TEST_CASE(DynamicTensorType3Complex, CLDynamicTensorType3ComplexFunction, framework::DatasetMode::ALL, |
| 119 | framework::dataset::zip(framework::dataset::zip(framework::dataset::zip(framework::dataset::zip( |
| 120 | framework::dataset::make("InputShape", { std::vector<TensorShape>{ TensorShape(12U, 12U, 16U), TensorShape(64U, 64U, 16U) } }), |
| 121 | framework::dataset::make("WeightsManager", { TensorShape(3U, 3U, 16U, 5U) })), |
| 122 | framework::dataset::make("BiasShape", { TensorShape(5U) })), |
| 123 | framework::dataset::make("OutputShape", { std::vector<TensorShape>{ TensorShape(12U, 12U, 5U), TensorShape(64U, 64U, 5U) } })), |
| 124 | framework::dataset::make("PadStrideInfo", { PadStrideInfo(1U, 1U, 1U, 1U) }))) |
| 125 | { |
| 126 | for(unsigned int i = 0; i < num_iterations; ++i) |
| 127 | { |
| 128 | run_iteration(i); |
| 129 | validate(CLAccessor(dst_target), dst_ref, tolerance_f32, tolerance_num, absolute_tolerance_float); |
| 130 | } |
| 131 | } |
| 132 | |
Georgios Pinitas | 3d426c5 | 2019-10-10 19:35:43 +0100 | [diff] [blame] | 133 | using CLDynamicTensorType2PipelineFunction = DynamicTensorType2PipelineFunction<CLTensor, CLAccessor, BlobMemoryManagementService, CLConvolutionLayer>; |
| 134 | /** Tests the memory manager with dynamic input and output tensors. |
| 135 | * |
| 136 | * Create and manage the tensors needed to run a pipeline. After the function is executed, resize the input size and rerun. |
| 137 | */ |
| 138 | FIXTURE_DATA_TEST_CASE(DynamicTensorType2Pipeline, CLDynamicTensorType2PipelineFunction, framework::DatasetMode::ALL, |
| 139 | framework::dataset::make("InputShape", { std::vector<TensorShape>{ TensorShape(12U, 12U, 6U), TensorShape(128U, 128U, 6U) } })) |
| 140 | { |
| 141 | } |
| 142 | |
Georgios Pinitas | b785dd4 | 2019-09-19 12:09:32 +0100 | [diff] [blame] | 143 | TEST_SUITE_END() // DynamicTensor |
| 144 | TEST_SUITE_END() // UNIT |
| 145 | TEST_SUITE_END() // CL |
| 146 | } // namespace validation |
| 147 | } // namespace test |
| 148 | } // namespace arm_compute |