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127 lines
4.3 KiB
127 lines
4.3 KiB
/*
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* Copyright (c) 2022 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef TESTS_DATASETS_DYNAMICFUSIONDATASET
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#define TESTS_DATASETS_DYNAMICFUSIONDATASET
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#include "utils/TypePrinter.h"
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#include "arm_compute/core/TensorShape.h"
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#include "arm_compute/core/Types.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace datasets
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{
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class DynamicFusionThreeInputs
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{
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public:
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using type = std::tuple<TensorShape, TensorShape, TensorShape>;
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struct iterator
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{
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iterator(std::vector<TensorShape>::const_iterator shape0_it,
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std::vector<TensorShape>::const_iterator shape1_it,
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std::vector<TensorShape>::const_iterator shape2_it)
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: _shape0_it{ std::move(shape0_it) },
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_shape1_it{ std::move(shape1_it) },
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_shape2_it{ std::move(shape2_it) }
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{
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}
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std::string description() const
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{
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std::stringstream description;
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description << "shape0=" << *_shape0_it << ":";
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description << "shape1=" << *_shape1_it << ":";
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description << "shape2=" << *_shape2_it << ":";
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return description.str();
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}
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DynamicFusionThreeInputs::type operator*() const
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{
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return std::make_tuple(*_shape0_it, *_shape1_it, *_shape2_it);
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}
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iterator &operator++()
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{
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++_shape0_it;
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++_shape1_it;
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++_shape2_it;
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return *this;
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}
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private:
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std::vector<TensorShape>::const_iterator _shape0_it;
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std::vector<TensorShape>::const_iterator _shape1_it;
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std::vector<TensorShape>::const_iterator _shape2_it;
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};
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iterator begin() const
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{
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return iterator(_shape0_shapes.begin(), _shape1_shapes.begin(), _shape2_shapes.begin());
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}
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int size() const
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{
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return std::min(_shape0_shapes.size(), std::min(_shape1_shapes.size(), _shape2_shapes.size()));
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}
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void add_config(TensorShape shape0, TensorShape shape1, TensorShape shape2)
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{
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_shape0_shapes.emplace_back(std::move(shape0));
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_shape1_shapes.emplace_back(std::move(shape1));
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_shape2_shapes.emplace_back(std::move(shape2));
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}
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protected:
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DynamicFusionThreeInputs() = default;
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DynamicFusionThreeInputs(DynamicFusionThreeInputs &&) = default;
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private:
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std::vector<TensorShape> _shape0_shapes{};
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std::vector<TensorShape> _shape1_shapes{};
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std::vector<TensorShape> _shape2_shapes{};
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};
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class DynamicFusionElementwiseBinaryTwoOpsSmallShapes final : public DynamicFusionThreeInputs
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{
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public:
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DynamicFusionElementwiseBinaryTwoOpsSmallShapes()
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{
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add_config(TensorShape{ 9U, 9U, 5U }, TensorShape{ 9U, 9U, 5U }, TensorShape{ 9U, 9U, 5U });
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add_config(TensorShape{ 9U, 9U, 5U }, TensorShape{ 1U, 1U, 1U } /* Broadcast in X, Y, Z*/, TensorShape{ 9U, 9U, 5U });
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add_config(TensorShape{ 27U, 13U, 2U }, TensorShape{ 27U, 1U, 1U } /* Broadcast in Y and Z*/, TensorShape{ 27U, 13U, 2U });
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add_config(TensorShape{ 27U, 13U, 2U }, TensorShape{ 27U, 13U, 2U }, TensorShape{ 27U, 1U, 1U } /* Broadcast in Y and Z*/);
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}
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};
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} // namespace datasets
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} // namespace test
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} // namespace arm_compute
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#endif /* TESTS_DATASETS_DYNAMICFUSIONDATASET */
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