| /* |
| * 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_RNN_LAYER_DATASET |
| #define ARM_COMPUTE_TEST_RNN_LAYER_DATASET |
| |
| #include "utils/TypePrinter.h" |
| |
| #include "arm_compute/core/TensorShape.h" |
| #include "arm_compute/core/Types.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace datasets |
| { |
| class RNNLayerDataset |
| { |
| public: |
| using type = std::tuple<TensorShape, TensorShape, TensorShape, TensorShape, TensorShape, ActivationLayerInfo>; |
| |
| struct iterator |
| { |
| iterator(std::vector<TensorShape>::const_iterator src_it, |
| std::vector<TensorShape>::const_iterator weights_it, |
| std::vector<TensorShape>::const_iterator recurrent_weights_it, |
| std::vector<TensorShape>::const_iterator biases_it, |
| std::vector<TensorShape>::const_iterator dst_it, |
| std::vector<ActivationLayerInfo>::const_iterator infos_it) |
| : _src_it{ std::move(src_it) }, |
| _weights_it{ std::move(weights_it) }, |
| _recurrent_weights_it{ std::move(recurrent_weights_it) }, |
| _biases_it{ std::move(biases_it) }, |
| _dst_it{ std::move(dst_it) }, |
| _infos_it{ std::move(infos_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(); |
| } |
| |
| RNNLayerDataset::type operator*() const |
| { |
| return std::make_tuple(*_src_it, *_weights_it, *_recurrent_weights_it, *_biases_it, *_dst_it, *_infos_it); |
| } |
| |
| iterator &operator++() |
| { |
| ++_src_it; |
| ++_weights_it; |
| ++_recurrent_weights_it; |
| ++_biases_it; |
| ++_dst_it; |
| ++_infos_it; |
| |
| return *this; |
| } |
| |
| private: |
| std::vector<TensorShape>::const_iterator _src_it; |
| std::vector<TensorShape>::const_iterator _weights_it; |
| std::vector<TensorShape>::const_iterator _recurrent_weights_it; |
| std::vector<TensorShape>::const_iterator _biases_it; |
| std::vector<TensorShape>::const_iterator _dst_it; |
| std::vector<ActivationLayerInfo>::const_iterator _infos_it; |
| }; |
| |
| iterator begin() const |
| { |
| return iterator(_src_shapes.begin(), _weight_shapes.begin(), _recurrent_weight_shapes.begin(), _bias_shapes.begin(), _dst_shapes.begin(), _infos.begin()); |
| } |
| |
| int size() const |
| { |
| return std::min(_src_shapes.size(), std::min(_weight_shapes.size(), std::min(_recurrent_weight_shapes.size(), std::min(_bias_shapes.size(), std::min(_dst_shapes.size(), _infos.size()))))); |
| } |
| |
| void add_config(TensorShape src, TensorShape weights, TensorShape recurrent_weights, TensorShape biases, TensorShape dst, ActivationLayerInfo info) |
| { |
| _src_shapes.emplace_back(std::move(src)); |
| _weight_shapes.emplace_back(std::move(weights)); |
| _recurrent_weight_shapes.emplace_back(std::move(recurrent_weights)); |
| _bias_shapes.emplace_back(std::move(biases)); |
| _dst_shapes.emplace_back(std::move(dst)); |
| _infos.emplace_back(std::move(info)); |
| } |
| |
| protected: |
| RNNLayerDataset() = default; |
| RNNLayerDataset(RNNLayerDataset &&) = default; |
| |
| private: |
| std::vector<TensorShape> _src_shapes{}; |
| std::vector<TensorShape> _weight_shapes{}; |
| std::vector<TensorShape> _recurrent_weight_shapes{}; |
| std::vector<TensorShape> _bias_shapes{}; |
| std::vector<TensorShape> _dst_shapes{}; |
| std::vector<ActivationLayerInfo> _infos{}; |
| }; |
| |
| class SmallRNNLayerDataset final : public RNNLayerDataset |
| { |
| public: |
| SmallRNNLayerDataset() |
| { |
| add_config(TensorShape(128U, 16U), TensorShape(128U, 32U), TensorShape(32U, 32U), TensorShape(32U), TensorShape(32U, 16U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)); |
| } |
| }; |
| |
| } // namespace datasets |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_RNN_LAYER_DATASET */ |