From 36a559e49a3d5b832b1cffd47f2298f452616bb9 Mon Sep 17 00:00:00 2001 From: Michalis Spyrou Date: Tue, 20 Mar 2018 10:30:58 +0000 Subject: COMPMID-992 Implement CL RNN function Change-Id: I8dbada5fabedbb8523e433ba73d504bd15b81466 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/125787 Reviewed-by: Georgios Pinitas Tested-by: Jenkins --- tests/datasets/RNNLayerDataset.h | 141 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 141 insertions(+) create mode 100644 tests/datasets/RNNLayerDataset.h (limited to 'tests/datasets/RNNLayerDataset.h') diff --git a/tests/datasets/RNNLayerDataset.h b/tests/datasets/RNNLayerDataset.h new file mode 100644 index 0000000000..616a69e213 --- /dev/null +++ b/tests/datasets/RNNLayerDataset.h @@ -0,0 +1,141 @@ +/* + * 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; + + struct iterator + { + iterator(std::vector::const_iterator src_it, + std::vector::const_iterator weights_it, + std::vector::const_iterator recurrent_weights_it, + std::vector::const_iterator biases_it, + std::vector::const_iterator dst_it, + std::vector::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::const_iterator _src_it; + std::vector::const_iterator _weights_it; + std::vector::const_iterator _recurrent_weights_it; + std::vector::const_iterator _biases_it; + std::vector::const_iterator _dst_it; + std::vector::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 _src_shapes{}; + std::vector _weight_shapes{}; + std::vector _recurrent_weight_shapes{}; + std::vector _bias_shapes{}; + std::vector _dst_shapes{}; + std::vector _infos{}; +}; + +class SmallRNNLayerDataset final : public RNNLayerDataset +{ +public: + SmallRNNLayerDataset() + { + add_config(TensorShape(8U, 2U), TensorShape(8U, 16U), TensorShape(16U, 16U), TensorShape(16U), TensorShape(16U, 2U), ActivationLayerInfo()); + } +}; + +} // namespace datasets +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_RNN_LAYER_DATASET */ -- cgit v1.2.1