133 lines
4.5 KiB
C++
133 lines
4.5 KiB
C++
/*
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* Copyright (c) 2017 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 ARM_COMPUTE_TEST_GEMM_DATASET
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#define ARM_COMPUTE_TEST_GEMM_DATASET
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#include "utils/TypePrinter.h"
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#include "arm_compute/core/TensorShape.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 GEMMDataset
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{
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public:
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using type = std::tuple<TensorShape, TensorShape, TensorShape, TensorShape, float, float>;
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struct iterator
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{
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iterator(std::vector<TensorShape>::const_iterator a_it,
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std::vector<TensorShape>::const_iterator b_it,
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std::vector<TensorShape>::const_iterator c_it,
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std::vector<TensorShape>::const_iterator dst_it,
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std::vector<float>::const_iterator alpha_it,
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std::vector<float>::const_iterator beta_it)
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: _a_it{ std::move(a_it) },
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_b_it{ std::move(b_it) },
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_c_it{ std::move(c_it) },
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_dst_it{ std::move(dst_it) },
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_alpha_it{ std::move(alpha_it) },
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_beta_it{ std::move(beta_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 << "A=" << *_a_it << ":";
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description << "B=" << *_b_it << ":";
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description << "C=" << *_c_it << ":";
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description << "Out=" << *_dst_it << ":";
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description << "Alpha=" << *_alpha_it << ":";
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description << "Beta=" << *_beta_it;
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return description.str();
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}
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GEMMDataset::type operator*() const
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{
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return std::make_tuple(*_a_it, *_b_it, *_c_it, *_dst_it, *_alpha_it, *_beta_it);
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}
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iterator &operator++()
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{
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++_a_it;
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++_b_it;
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++_c_it;
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++_dst_it;
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++_alpha_it;
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++_beta_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 _a_it;
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std::vector<TensorShape>::const_iterator _b_it;
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std::vector<TensorShape>::const_iterator _c_it;
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std::vector<TensorShape>::const_iterator _dst_it;
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std::vector<float>::const_iterator _alpha_it;
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std::vector<float>::const_iterator _beta_it;
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};
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iterator begin() const
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{
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return iterator(_a_shapes.begin(), _b_shapes.begin(), _c_shapes.begin(), _dst_shapes.begin(), _alpha.begin(), _beta.begin());
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}
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int size() const
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{
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return std::min(_a_shapes.size(), std::min(_b_shapes.size(), std::min(_c_shapes.size(), std::min(_dst_shapes.size(), std::min(_alpha.size(), _beta.size())))));
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}
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void add_config(TensorShape a, TensorShape b, TensorShape c, TensorShape dst, float alpha, float beta)
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{
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_a_shapes.emplace_back(std::move(a));
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_b_shapes.emplace_back(std::move(b));
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_c_shapes.emplace_back(std::move(c));
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_dst_shapes.emplace_back(std::move(dst));
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_alpha.emplace_back(std::move(alpha));
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_beta.emplace_back(std::move(beta));
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}
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protected:
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GEMMDataset() = default;
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GEMMDataset(GEMMDataset &&) = default;
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private:
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std::vector<TensorShape> _a_shapes{};
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std::vector<TensorShape> _b_shapes{};
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std::vector<TensorShape> _c_shapes{};
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std::vector<TensorShape> _dst_shapes{};
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std::vector<float> _alpha{};
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std::vector<float> _beta{};
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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 /* ARM_COMPUTE_TEST_GEMM_DATASET */
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