| /* |
| * Copyright (c) 2022 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 TESTS_DATASETS_DYNAMICFUSIONDATASET |
| #define TESTS_DATASETS_DYNAMICFUSIONDATASET |
| |
| #include "utils/TypePrinter.h" |
| |
| #include "arm_compute/core/TensorShape.h" |
| #include "arm_compute/core/Types.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace datasets |
| { |
| class DynamicFusionThreeInputs |
| { |
| public: |
| using type = std::tuple<TensorShape, TensorShape, TensorShape>; |
| |
| struct iterator |
| { |
| iterator(std::vector<TensorShape>::const_iterator shape0_it, |
| std::vector<TensorShape>::const_iterator shape1_it, |
| std::vector<TensorShape>::const_iterator shape2_it) |
| : _shape0_it{ std::move(shape0_it) }, |
| _shape1_it{ std::move(shape1_it) }, |
| _shape2_it{ std::move(shape2_it) } |
| { |
| } |
| |
| std::string description() const |
| { |
| std::stringstream description; |
| description << "shape0=" << *_shape0_it << ":"; |
| description << "shape1=" << *_shape1_it << ":"; |
| description << "shape2=" << *_shape2_it << ":"; |
| |
| return description.str(); |
| } |
| |
| DynamicFusionThreeInputs::type operator*() const |
| { |
| return std::make_tuple(*_shape0_it, *_shape1_it, *_shape2_it); |
| } |
| |
| iterator &operator++() |
| { |
| ++_shape0_it; |
| ++_shape1_it; |
| ++_shape2_it; |
| |
| return *this; |
| } |
| |
| private: |
| std::vector<TensorShape>::const_iterator _shape0_it; |
| std::vector<TensorShape>::const_iterator _shape1_it; |
| std::vector<TensorShape>::const_iterator _shape2_it; |
| }; |
| |
| iterator begin() const |
| { |
| return iterator(_shape0_shapes.begin(), _shape1_shapes.begin(), _shape2_shapes.begin()); |
| } |
| |
| int size() const |
| { |
| return std::min(_shape0_shapes.size(), std::min(_shape1_shapes.size(), _shape2_shapes.size())); |
| } |
| |
| void add_config(TensorShape shape0, TensorShape shape1, TensorShape shape2) |
| { |
| _shape0_shapes.emplace_back(std::move(shape0)); |
| _shape1_shapes.emplace_back(std::move(shape1)); |
| _shape2_shapes.emplace_back(std::move(shape2)); |
| } |
| |
| protected: |
| DynamicFusionThreeInputs() = default; |
| DynamicFusionThreeInputs(DynamicFusionThreeInputs &&) = default; |
| |
| private: |
| std::vector<TensorShape> _shape0_shapes{}; |
| std::vector<TensorShape> _shape1_shapes{}; |
| std::vector<TensorShape> _shape2_shapes{}; |
| }; |
| |
| class DynamicFusionElementwiseBinaryTwoOpsSmallShapes final : public DynamicFusionThreeInputs |
| { |
| public: |
| DynamicFusionElementwiseBinaryTwoOpsSmallShapes() |
| { |
| add_config(TensorShape{ 9U, 9U, 5U }, TensorShape{ 9U, 9U, 5U }, TensorShape{ 9U, 9U, 5U }); |
| add_config(TensorShape{ 9U, 9U, 5U }, TensorShape{ 1U, 1U, 1U } /* Broadcast in X, Y, Z*/, TensorShape{ 9U, 9U, 5U }); |
| add_config(TensorShape{ 27U, 13U, 2U }, TensorShape{ 27U, 1U, 1U } /* Broadcast in Y and Z*/, TensorShape{ 27U, 13U, 2U }); |
| add_config(TensorShape{ 27U, 13U, 2U }, TensorShape{ 27U, 13U, 2U }, TensorShape{ 27U, 1U, 1U } /* Broadcast in Y and Z*/); |
| } |
| }; |
| |
| } // namespace datasets |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* TESTS_DATASETS_DYNAMICFUSIONDATASET */ |