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 | #ifndef TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_SOFTMAXFIXTURE |
| 25 | #define TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_SOFTMAXFIXTURE |
| 26 | |
| 27 | #include "arm_compute/dynamic_fusion/runtime/gpu/cl/ClWorkloadRuntime.h" |
| 28 | #include "arm_compute/dynamic_fusion/sketch/attributes/SoftmaxAttributes.h" |
| 29 | #include "arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadSketch.h" |
| 30 | |
| 31 | #include "tests/SimpleTensor.h" |
| 32 | #include "tests/framework/Fixture.h" |
| 33 | #include "tests/framework/Macros.h" |
| 34 | #include "tests/validation/Validation.h" |
| 35 | #include "tests/validation/reference/SoftmaxLayer.h" |
| 36 | |
| 37 | using namespace arm_compute::experimental::dynamic_fusion; |
| 38 | |
| 39 | namespace arm_compute |
| 40 | { |
| 41 | namespace test |
| 42 | { |
| 43 | namespace validation |
| 44 | { |
| 45 | template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| 46 | class DynamicFusionSoftmaxValidationGenericFixture : public framework::Fixture |
| 47 | { |
| 48 | public: |
| 49 | template <typename...> |
| 50 | void setup(TensorShape shape, DataType data_type, float beta, size_t axis, bool is_log) |
| 51 | { |
| 52 | _reference = compute_reference(shape, data_type, beta, axis, is_log); |
| 53 | _target = compute_target(shape, data_type, beta, axis, is_log); |
| 54 | } |
| 55 | |
| 56 | protected: |
| 57 | template <typename U> |
| 58 | void fill(U &&tensor) |
| 59 | { |
| 60 | if(tensor.data_type() == DataType::F32) |
| 61 | { |
| 62 | std::uniform_real_distribution<float> distribution(-10.0f, 10.0f); |
| 63 | library->fill(tensor, distribution, 0); |
| 64 | } |
| 65 | else if(tensor.data_type() == DataType::F16) |
| 66 | { |
| 67 | arm_compute::utils::uniform_real_distribution_16bit<half> distribution{ -10.0f, 10.0f }; |
| 68 | library->fill(tensor, distribution, 0); |
| 69 | } |
| 70 | else if(!is_data_type_quantized(tensor.data_type())) |
| 71 | { |
| 72 | std::uniform_int_distribution<> distribution(0, 100); |
| 73 | library->fill(tensor, distribution, 0); |
| 74 | } |
| 75 | else |
| 76 | { |
| 77 | library->fill_tensor_uniform(tensor, 0); |
| 78 | } |
| 79 | } |
| 80 | |
| 81 | TensorType compute_target(const TensorShape &shape, DataType data_type, float beta, int32_t axis, bool is_log) |
| 82 | { |
| 83 | // Create a new workload sketch |
| 84 | CLCompileContext cl_compile_ctx = CLKernelLibrary::get().get_compile_context(); |
| 85 | GpuWorkloadContext gpu_ctx = GpuWorkloadContext{ &cl_compile_ctx }; |
| 86 | GpuWorkloadSketch sketch{ &gpu_ctx }; |
| 87 | |
| 88 | SoftmaxAttributes softmax_attr{}; |
| 89 | softmax_attr.axis(axis).beta(beta).is_log_softmax(is_log); |
| 90 | TensorInfo src_info = sketch.create_tensor_info(shape, 1, data_type); |
| 91 | TensorInfo dst_info = sketch.create_tensor_info(shape, 1, data_type); |
| 92 | FunctionType::create_op(sketch, &src_info, &dst_info, softmax_attr); |
| 93 | |
| 94 | // Configure runtime |
| 95 | ClWorkloadRuntime runtime; |
| 96 | runtime.configure(sketch); |
| 97 | |
| 98 | // (Important) Allocate auxiliary tensor memory if there are any |
| 99 | // Instead of using ACL allocated memory, the user can choose to import memory into the tensors |
| 100 | for(auto &data : runtime.get_auxiliary_tensors()) |
| 101 | { |
| 102 | CLTensor *tensor = std::get<0>(data); |
| 103 | TensorInfo info = std::get<1>(data); |
| 104 | AuxMemoryInfo aux_mem_req = std::get<2>(data); |
| 105 | tensor->allocator()->init(info, aux_mem_req.alignment); |
| 106 | tensor->allocator()->allocate(); // Use ACL allocated memory |
| 107 | } |
| 108 | // Construct user tensors |
| 109 | TensorType src{}; |
| 110 | TensorType dst{}; |
| 111 | |
| 112 | // Initialize user tensors |
| 113 | src.allocator()->init(src_info); |
| 114 | dst.allocator()->init(dst_info); |
| 115 | |
| 116 | // Allocate and fill user tensors |
| 117 | src.allocator()->allocate(); |
| 118 | dst.allocator()->allocate(); |
| 119 | fill(AccessorType(src)); |
| 120 | |
| 121 | // Run runtime |
| 122 | runtime.run({ &src, &dst }); |
| 123 | |
| 124 | return dst; |
| 125 | } |
| 126 | |
| 127 | SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type, float beta, int32_t axis, bool is_log) |
| 128 | { |
| 129 | // Create reference |
| 130 | SimpleTensor<T> src{ shape, data_type, 1 }; |
| 131 | |
| 132 | // Fill reference |
| 133 | fill(src); |
| 134 | |
| 135 | return reference::softmax_layer<T>(src, beta, axis, is_log); |
| 136 | } |
| 137 | |
| 138 | TensorType _target{}; |
| 139 | SimpleTensor<T> _reference{}; |
| 140 | }; |
| 141 | |
| 142 | template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| 143 | class DynamicFusionSoftmaxValidationFixture : public DynamicFusionSoftmaxValidationGenericFixture<TensorType, AccessorType, FunctionType, T> |
| 144 | { |
| 145 | public: |
| 146 | template <typename...> |
| 147 | void setup(TensorShape shape, DataType data_type, float beta, size_t axis, bool is_log) |
| 148 | { |
| 149 | DynamicFusionSoftmaxValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, |
| 150 | data_type, |
| 151 | beta, |
| 152 | axis, |
| 153 | is_log); |
| 154 | } |
| 155 | }; |
| 156 | |
| 157 | } // namespace validation |
| 158 | } // namespace test |
| 159 | } // namespace arm_compute |
| 160 | |
| 161 | #endif /* TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_SOFTMAXFIXTURE */ |