morgolock | 37722d9 | 2020-04-09 14:17:48 +0100 | [diff] [blame] | 1 | /* |
Giorgio Arena | 33b103b | 2021-01-08 10:37:15 +0000 | [diff] [blame] | 2 | * Copyright (c) 2020-2021 Arm Limited. |
morgolock | 37722d9 | 2020-04-09 14:17:48 +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 | #ifndef ARM_COMPUTE_TEST_POOLING_LAYER_FIXTURE |
| 25 | #define ARM_COMPUTE_TEST_POOLING_LAYER_FIXTURE |
| 26 | |
| 27 | #include "arm_compute/core/TensorShape.h" |
| 28 | #include "arm_compute/core/Types.h" |
| 29 | #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| 30 | #include "arm_compute/runtime/Tensor.h" |
| 31 | #include "tests/AssetsLibrary.h" |
| 32 | #include "tests/Globals.h" |
| 33 | #include "tests/IAccessor.h" |
| 34 | #include "tests/framework/Asserts.h" |
| 35 | #include "tests/framework/Fixture.h" |
| 36 | #include "tests/validation/reference/MaxUnpoolingLayer.h" |
| 37 | #include "tests/validation/reference/PoolingLayer.h" |
| 38 | #include <random> |
| 39 | namespace arm_compute |
| 40 | { |
| 41 | namespace test |
| 42 | { |
| 43 | namespace validation |
| 44 | { |
| 45 | template <typename TensorType, typename AccessorType, typename PoolingFunctionType, typename MaxUnpoolingFunctionType, typename T> |
| 46 | class MaxUnpoolingLayerValidationGenericFixture : public framework::Fixture |
| 47 | { |
| 48 | public: |
| 49 | template <typename...> |
| 50 | void setup(TensorShape shape, PoolingLayerInfo pool_info, DataType data_type, DataLayout data_layout) |
| 51 | { |
| 52 | std::mt19937 gen(library->seed()); |
| 53 | std::uniform_int_distribution<> offset_dis(0, 20); |
| 54 | const float scale = data_type == DataType::QASYMM8_SIGNED ? 1.f / 127.f : 1.f / 255.f; |
| 55 | const int scale_in = data_type == DataType::QASYMM8_SIGNED ? -offset_dis(gen) : offset_dis(gen); |
| 56 | const int scale_out = data_type == DataType::QASYMM8_SIGNED ? -offset_dis(gen) : offset_dis(gen); |
| 57 | const QuantizationInfo input_qinfo(scale, scale_in); |
| 58 | const QuantizationInfo output_qinfo(scale, scale_out); |
| 59 | _pool_info = pool_info; |
| 60 | _target = compute_target(shape, pool_info, data_type, data_layout, input_qinfo, output_qinfo); |
| 61 | _reference = compute_reference(shape, pool_info, data_type, input_qinfo, output_qinfo); |
| 62 | } |
| 63 | |
| 64 | protected: |
| 65 | template <typename U> |
| 66 | void fill(U &&tensor) |
| 67 | { |
Giorgio Arena | 4bdd177 | 2020-12-17 16:47:07 +0000 | [diff] [blame] | 68 | if(tensor.data_type() == DataType::F32) |
morgolock | 37722d9 | 2020-04-09 14:17:48 +0100 | [diff] [blame] | 69 | { |
Giorgio Arena | 4bdd177 | 2020-12-17 16:47:07 +0000 | [diff] [blame] | 70 | std::uniform_real_distribution<float> distribution(-1.0f, 1.0f); |
| 71 | library->fill(tensor, distribution, 0); |
| 72 | } |
| 73 | else if(tensor.data_type() == DataType::F16) |
| 74 | { |
Giorgio Arena | 33b103b | 2021-01-08 10:37:15 +0000 | [diff] [blame] | 75 | arm_compute::utils::uniform_real_distribution_16bit<half> distribution{ -1.0f, 1.0f }; |
morgolock | 37722d9 | 2020-04-09 14:17:48 +0100 | [diff] [blame] | 76 | library->fill(tensor, distribution, 0); |
| 77 | } |
| 78 | else // data type is quantized_asymmetric |
| 79 | { |
| 80 | library->fill_tensor_uniform(tensor, 0); |
| 81 | } |
| 82 | } |
| 83 | |
| 84 | TensorType compute_target(TensorShape input_shape, PoolingLayerInfo pool_info, |
| 85 | DataType data_type, DataLayout data_layout, |
| 86 | QuantizationInfo input_qinfo, QuantizationInfo output_qinfo) |
| 87 | { |
| 88 | // Change shape in case of NHWC. |
| 89 | if(data_layout == DataLayout::NHWC) |
| 90 | { |
| 91 | permute(input_shape, PermutationVector(2U, 0U, 1U)); |
| 92 | } |
| 93 | |
| 94 | // Create tensors |
| 95 | TensorType src = create_tensor<TensorType>(input_shape, data_type, 1, input_qinfo, data_layout); |
| 96 | const TensorShape dst_shape = misc::shape_calculator::compute_pool_shape(*(src.info()), pool_info); |
| 97 | TensorType dst = create_tensor<TensorType>(dst_shape, data_type, 1, output_qinfo, data_layout); |
| 98 | TensorType unpooled = create_tensor<TensorType>(input_shape, data_type, 1, output_qinfo, data_layout); |
| 99 | TensorType indices = create_tensor<TensorType>(dst_shape, DataType::U32, 1, output_qinfo, data_layout); |
| 100 | |
| 101 | // Create and configure function |
| 102 | PoolingFunctionType pool_layer; |
| 103 | pool_layer.configure(&src, &dst, pool_info, &indices); |
| 104 | // Create and configure function |
| 105 | |
| 106 | MaxUnpoolingFunctionType unpool_layer; |
| 107 | unpool_layer.configure(&dst, &indices, &unpooled, pool_info); |
| 108 | |
Michele Di Giorgio | 4fc10b3 | 2021-04-30 18:30:41 +0100 | [diff] [blame] | 109 | ARM_COMPUTE_ASSERT(src.info()->is_resizable()); |
| 110 | ARM_COMPUTE_ASSERT(dst.info()->is_resizable()); |
| 111 | ARM_COMPUTE_ASSERT(indices.info()->is_resizable()); |
morgolock | 37722d9 | 2020-04-09 14:17:48 +0100 | [diff] [blame] | 112 | |
| 113 | // Allocate tensors |
| 114 | src.allocator()->allocate(); |
| 115 | dst.allocator()->allocate(); |
| 116 | indices.allocator()->allocate(); |
| 117 | unpooled.allocator()->allocate(); |
| 118 | |
Michele Di Giorgio | 4fc10b3 | 2021-04-30 18:30:41 +0100 | [diff] [blame] | 119 | ARM_COMPUTE_ASSERT(!src.info()->is_resizable()); |
| 120 | ARM_COMPUTE_ASSERT(!dst.info()->is_resizable()); |
| 121 | ARM_COMPUTE_ASSERT(!indices.info()->is_resizable()); |
| 122 | ARM_COMPUTE_ASSERT(!unpooled.info()->is_resizable()); |
morgolock | 37722d9 | 2020-04-09 14:17:48 +0100 | [diff] [blame] | 123 | |
| 124 | // Fill tensors |
| 125 | fill(AccessorType(src)); |
| 126 | |
| 127 | // Compute function |
| 128 | pool_layer.run(); |
| 129 | unpool_layer.run(); |
| 130 | return unpooled; |
| 131 | } |
| 132 | |
| 133 | SimpleTensor<T> compute_reference(TensorShape input_shape, PoolingLayerInfo info, DataType data_type, |
| 134 | QuantizationInfo input_qinfo, QuantizationInfo output_qinfo) |
| 135 | { |
| 136 | SimpleTensor<T> src(input_shape, data_type, 1, input_qinfo); |
| 137 | SimpleTensor<uint32_t> indices{}; |
| 138 | // Fill reference |
| 139 | fill(src); |
| 140 | auto pooled_tensor = reference::pooling_layer<T>(src, info, output_qinfo, &indices); |
| 141 | return reference::max_unpooling_layer<T>(pooled_tensor, info, output_qinfo, indices, input_shape); |
| 142 | } |
| 143 | |
| 144 | TensorType _target{}; |
| 145 | SimpleTensor<T> _reference{}; |
| 146 | PoolingLayerInfo _pool_info{}; |
| 147 | }; |
| 148 | |
| 149 | template <typename TensorType, typename AccessorType, typename F1, typename F2, typename T> |
| 150 | class MaxUnpoolingLayerValidationFixture : public MaxUnpoolingLayerValidationGenericFixture<TensorType, AccessorType, F1, F2, T> |
| 151 | { |
| 152 | public: |
| 153 | template <typename...> |
| 154 | void setup(TensorShape shape, PoolingType pool_type, Size2D pool_size, PadStrideInfo pad_stride_info, DataType data_type, DataLayout data_layout) |
| 155 | { |
| 156 | MaxUnpoolingLayerValidationGenericFixture<TensorType, AccessorType, F1, F2, T>::setup(shape, PoolingLayerInfo(pool_type, pool_size, data_layout, pad_stride_info, true), |
| 157 | data_type, data_layout); |
| 158 | } |
| 159 | }; |
| 160 | |
| 161 | } // namespace validation |
| 162 | } // namespace test |
| 163 | } // namespace arm_compute |
| 164 | #endif /* ARM_COMPUTE_TEST_POOLING_LAYER_FIXTURE */ |