Pablo Tello | 5430369 | 2018-11-22 16:14:36 +0000 | [diff] [blame] | 1 | /* |
Matthew Bentham | 945b8da | 2023-07-12 11:54:59 +0000 | [diff] [blame] | 2 | * Copyright (c) 2018-2021, 2023 Arm Limited. |
Pablo Tello | 5430369 | 2018-11-22 16:14:36 +0000 | [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_UNSTACK_FIXTURE |
| 25 | #define ARM_COMPUTE_TEST_UNSTACK_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 "tests/AssetsLibrary.h" |
| 31 | #include "tests/Globals.h" |
| 32 | #include "tests/IAccessor.h" |
| 33 | #include "tests/framework/Asserts.h" |
| 34 | #include "tests/framework/Fixture.h" |
| 35 | #include "tests/validation/Helpers.h" |
| 36 | #include "tests/validation/reference/Unstack.h" |
| 37 | |
| 38 | #include <random> |
| 39 | |
| 40 | namespace arm_compute |
| 41 | { |
| 42 | namespace test |
| 43 | { |
| 44 | namespace validation |
| 45 | { |
| 46 | template <typename TensorType, typename ITensorType, typename AccessorType, typename FunctionType, typename T> |
| 47 | class UnstackValidationFixture : public framework::Fixture |
| 48 | { |
| 49 | public: |
Pablo Tello | 5430369 | 2018-11-22 16:14:36 +0000 | [diff] [blame] | 50 | void setup(TensorShape input_shape, int axis, int num, DataType data_type) |
| 51 | { |
| 52 | _target = compute_target(input_shape, axis, num, data_type); |
| 53 | _reference = compute_reference(input_shape, axis, num, data_type); |
| 54 | } |
| 55 | |
| 56 | protected: |
| 57 | template <typename U> |
| 58 | void fill(U &&tensor, int i) |
| 59 | { |
| 60 | library->fill_tensor_uniform(tensor, i); |
| 61 | } |
| 62 | |
| 63 | std::vector<TensorType> compute_target(TensorShape input_shape, int axis, unsigned int num, DataType data_type) |
| 64 | { |
| 65 | TensorType input_tensor = create_tensor<TensorType>(input_shape, data_type); |
| 66 | const unsigned int axis_u = wrap_around(axis, static_cast<int>(input_shape.num_dimensions())); |
| 67 | const unsigned int axis_size = input_shape[axis_u]; |
| 68 | const unsigned int num_slices = std::min(num, axis_size); |
| 69 | std::vector<TensorType> output_slices(num_slices); |
| 70 | std::vector<ITensorType *> output_ptrs(num_slices); |
| 71 | for(size_t k = 0; k < num_slices; ++k) |
| 72 | { |
| 73 | output_ptrs[k] = &output_slices[k]; |
| 74 | } |
| 75 | // Create and configure function |
| 76 | FunctionType unstack; |
| 77 | unstack.configure(&input_tensor, output_ptrs, axis); |
| 78 | // Allocate tensors |
| 79 | for(auto &out : output_slices) |
| 80 | { |
| 81 | out.allocator()->allocate(); |
Michele Di Giorgio | 4fc10b3 | 2021-04-30 18:30:41 +0100 | [diff] [blame] | 82 | ARM_COMPUTE_ASSERT(!out.info()->is_resizable()); |
Pablo Tello | 5430369 | 2018-11-22 16:14:36 +0000 | [diff] [blame] | 83 | } |
| 84 | input_tensor.allocator()->allocate(); |
Michele Di Giorgio | 4fc10b3 | 2021-04-30 18:30:41 +0100 | [diff] [blame] | 85 | ARM_COMPUTE_ASSERT(!input_tensor.info()->is_resizable()); |
Pablo Tello | 5430369 | 2018-11-22 16:14:36 +0000 | [diff] [blame] | 86 | fill(AccessorType(input_tensor), 0); |
| 87 | // Compute function |
| 88 | unstack.run(); |
| 89 | return output_slices; |
| 90 | } |
| 91 | |
| 92 | std::vector<SimpleTensor<T>> compute_reference(TensorShape input_shape, int axis, unsigned int num, DataType data_type) |
| 93 | { |
| 94 | const unsigned int axis_u = wrap_around(axis, static_cast<int>(input_shape.num_dimensions())); |
| 95 | const unsigned int axis_size = input_shape[axis_u]; |
| 96 | const unsigned int num_output_tensors = (num == 0) ? axis_size : std::min(axis_size, num); |
| 97 | // create and fill input tensor |
| 98 | SimpleTensor<T> input_tensor{ input_shape, data_type }; |
| 99 | fill(input_tensor, 0); |
| 100 | // create output tensors |
| 101 | const TensorShape slice_shape = arm_compute::misc::shape_calculator::calculate_unstack_shape(input_shape, axis_u); |
| 102 | std::vector<SimpleTensor<T>> output_tensors(num_output_tensors); |
| 103 | for(size_t k = 0; k < num_output_tensors; ++k) |
| 104 | { |
| 105 | output_tensors[k] = SimpleTensor<T>(slice_shape, data_type); |
| 106 | } |
| 107 | |
| 108 | return reference::unstack<T>(input_tensor, output_tensors, axis); |
| 109 | } |
| 110 | |
| 111 | std::vector<TensorType> _target{}; |
| 112 | std::vector<SimpleTensor<T>> _reference{}; |
| 113 | }; |
| 114 | } // namespace validation |
| 115 | } // namespace test |
| 116 | } // namespace arm_compute |
| 117 | #endif /* ARM_COMPUTE_TEST_UNSTACK_FIXTURE */ |