| /* |
| * Copyright (c) 2017 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_FULLYCONNECTED_LAYER_DATASET |
| #define ARM_COMPUTE_TEST_FULLYCONNECTED_LAYER_DATASET |
| |
| #include "tests/TypePrinter.h" |
| |
| #include "arm_compute/core/TensorShape.h" |
| #include "arm_compute/core/Types.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace datasets |
| { |
| class FullyConnectedLayerDataset |
| { |
| public: |
| using type = std::tuple<TensorShape, TensorShape, TensorShape, TensorShape>; |
| |
| struct iterator |
| { |
| iterator(std::vector<TensorShape>::const_iterator src_it, |
| std::vector<TensorShape>::const_iterator weights_it, |
| std::vector<TensorShape>::const_iterator biases_it, |
| std::vector<TensorShape>::const_iterator dst_it) |
| : _src_it{ std::move(src_it) }, |
| _weights_it{ std::move(weights_it) }, |
| _biases_it{ std::move(biases_it) }, |
| _dst_it{ std::move(dst_it) } |
| { |
| } |
| |
| std::string description() const |
| { |
| std::stringstream description; |
| description << "In=" << *_src_it << ":"; |
| description << "Weights=" << *_weights_it << ":"; |
| description << "Biases=" << *_biases_it << ":"; |
| description << "Out=" << *_dst_it << ":"; |
| return description.str(); |
| } |
| |
| FullyConnectedLayerDataset::type operator*() const |
| { |
| return std::make_tuple(*_src_it, *_weights_it, *_biases_it, *_dst_it); |
| } |
| |
| iterator &operator++() |
| { |
| ++_src_it; |
| ++_weights_it; |
| ++_biases_it; |
| ++_dst_it; |
| |
| return *this; |
| } |
| |
| private: |
| std::vector<TensorShape>::const_iterator _src_it; |
| std::vector<TensorShape>::const_iterator _weights_it; |
| std::vector<TensorShape>::const_iterator _biases_it; |
| std::vector<TensorShape>::const_iterator _dst_it; |
| }; |
| |
| iterator begin() const |
| { |
| return iterator(_src_shapes.begin(), _weight_shapes.begin(), _bias_shapes.begin(), _dst_shapes.begin()); |
| } |
| |
| int size() const |
| { |
| return std::min(_src_shapes.size(), std::min(_weight_shapes.size(), std::min(_bias_shapes.size(), _dst_shapes.size()))); |
| } |
| |
| void add_config(TensorShape src, TensorShape weights, TensorShape biases, TensorShape dst) |
| { |
| _src_shapes.emplace_back(std::move(src)); |
| _weight_shapes.emplace_back(std::move(weights)); |
| _bias_shapes.emplace_back(std::move(biases)); |
| _dst_shapes.emplace_back(std::move(dst)); |
| } |
| |
| protected: |
| FullyConnectedLayerDataset() = default; |
| FullyConnectedLayerDataset(FullyConnectedLayerDataset &&) = default; |
| |
| private: |
| std::vector<TensorShape> _src_shapes{}; |
| std::vector<TensorShape> _weight_shapes{}; |
| std::vector<TensorShape> _bias_shapes{}; |
| std::vector<TensorShape> _dst_shapes{}; |
| }; |
| } // namespace datasets |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_FULLYCONNECTED_LAYER_DATASET */ |