| /* |
| * Copyright (c) 2018 ARM Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| #ifndef ARM_COMPUTE_TEST_SELECT_FIXTURE |
| #define ARM_COMPUTE_TEST_SELECT_FIXTURE |
| |
| #include "arm_compute/core/TensorShape.h" |
| #include "arm_compute/core/Types.h" |
| #include "tests/AssetsLibrary.h" |
| #include "tests/Globals.h" |
| #include "tests/IAccessor.h" |
| #include "tests/framework/Asserts.h" |
| #include "tests/framework/Fixture.h" |
| #include "tests/validation/reference/Select.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace detail |
| { |
| /** Get the expected shape of the condition tensor |
| * |
| * @param shape Shape of the other input tensor to select |
| * @param has_same_same_rank Boolean that flags if the condition has the same rank with the other tensors |
| * |
| * @return the expected condition shape |
| */ |
| inline TensorShape select_condition_shape(TensorShape shape, bool has_same_same_rank) |
| { |
| TensorShape condition_shape = shape; |
| if(!has_same_same_rank) |
| { |
| condition_shape = TensorShape(shape[shape.num_dimensions() - 1]); |
| } |
| return condition_shape; |
| } |
| } // namespace detail |
| |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| class SelectValidationFixture : public framework::Fixture |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape, bool has_same_same_rank, DataType data_type) |
| { |
| TensorShape condition_shape = detail::select_condition_shape(shape, has_same_same_rank); |
| |
| _target = compute_target(shape, condition_shape, data_type); |
| _reference = compute_reference(shape, condition_shape, data_type); |
| } |
| |
| protected: |
| template <typename U> |
| void fill(U &&tensor, int i) |
| { |
| library->fill_tensor_uniform(tensor, i); |
| } |
| template <typename U> |
| void fill_bool(U &&tensor, int i) |
| { |
| ARM_COMPUTE_ERROR_ON(tensor.data_type() != DataType::U8); |
| library->fill_tensor_uniform(tensor, i, static_cast<uint8_t>(0), static_cast<uint8_t>(1)); |
| } |
| |
| TensorType compute_target(const TensorShape &shape, const TensorShape &condition_shape, DataType data_type) |
| { |
| // Create tensors |
| TensorType c_t = create_tensor<TensorType>(condition_shape, DataType::U8); |
| TensorType x_t = create_tensor<TensorType>(shape, data_type); |
| TensorType y_t = create_tensor<TensorType>(shape, data_type); |
| TensorType dst_t = create_tensor<TensorType>(shape, data_type); |
| |
| // Create and configure function |
| FunctionType select; |
| select.configure(&c_t, &x_t, &y_t, &dst_t); |
| |
| ARM_COMPUTE_EXPECT(c_t.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(x_t.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(y_t.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(dst_t.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Allocate tensors |
| c_t.allocator()->allocate(); |
| x_t.allocator()->allocate(); |
| y_t.allocator()->allocate(); |
| dst_t.allocator()->allocate(); |
| |
| ARM_COMPUTE_EXPECT(!c_t.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(!x_t.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(!y_t.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(!dst_t.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Fill tensors |
| fill_bool(AccessorType(c_t), 0); |
| fill(AccessorType(x_t), 1); |
| fill(AccessorType(y_t), 2); |
| |
| // Compute function |
| select.run(); |
| |
| return dst_t; |
| } |
| |
| SimpleTensor<T> compute_reference(const TensorShape &shape, const TensorShape &condition_shape, DataType data_type) |
| { |
| // Create reference |
| SimpleTensor<uint8_t> ref_c{ condition_shape, DataType::U8 }; |
| SimpleTensor<T> ref_x{ shape, data_type }; |
| SimpleTensor<T> ref_y{ shape, data_type }; |
| |
| // Fill reference |
| fill_bool(ref_c, 0); |
| fill(ref_x, 1); |
| fill(ref_y, 2); |
| |
| return reference::select<T>(ref_c, ref_x, ref_y); |
| } |
| |
| TensorType _target{}; |
| SimpleTensor<T> _reference{}; |
| }; |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_SELECT_FIXTURE */ |