diff options
author | Michalis Spyrou <michalis.spyrou@arm.com> | 2018-03-22 14:55:08 +0000 |
---|---|---|
committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:52:35 +0000 |
commit | bcedf513938fca9e33331bdef975f0488288bad4 (patch) | |
tree | c365f4387576a2b093368ce05f01ea253fe5570c /tests/datasets | |
parent | a3221e6772dc371cf5de7e525bf5c22b58ad6d08 (diff) | |
download | ComputeLibrary-bcedf513938fca9e33331bdef975f0488288bad4.tar.gz |
COMPMID-993 Implement CL LSTM function
Change-Id: Iee4ad387c41dd8ccfe31b3044d797f2d7448e552
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/126655
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'tests/datasets')
-rw-r--r-- | tests/datasets/LSTMLayerDataset.h | 171 |
1 files changed, 171 insertions, 0 deletions
diff --git a/tests/datasets/LSTMLayerDataset.h b/tests/datasets/LSTMLayerDataset.h new file mode 100644 index 0000000000..51802fd75b --- /dev/null +++ b/tests/datasets/LSTMLayerDataset.h @@ -0,0 +1,171 @@ +/* + * 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_LSTM_LAYER_DATASET +#define ARM_COMPUTE_TEST_LSTM_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 LSTMLayerDataset +{ +public: + using type = std::tuple<TensorShape, TensorShape, TensorShape, TensorShape, TensorShape, TensorShape, TensorShape, ActivationLayerInfo, float, float>; + + struct iterator + { + iterator(std::vector<TensorShape>::const_iterator src_it, + std::vector<TensorShape>::const_iterator input_weights_it, + std::vector<TensorShape>::const_iterator recurrent_weights_it, + std::vector<TensorShape>::const_iterator cells_bias_it, + std::vector<TensorShape>::const_iterator output_cell_it, + std::vector<TensorShape>::const_iterator dst_it, + std::vector<TensorShape>::const_iterator scratch_it, + std::vector<ActivationLayerInfo>::const_iterator infos_it, + std::vector<float>::const_iterator cell_threshold_it, + std::vector<float>::const_iterator projection_threshold_it) + : _src_it{ std::move(src_it) }, + _input_weights_it{ std::move(input_weights_it) }, + _recurrent_weights_it{ std::move(recurrent_weights_it) }, + _cells_bias_it{ std::move(cells_bias_it) }, + _output_cell_it{ std::move(output_cell_it) }, + _dst_it{ std::move(dst_it) }, + _scratch_it{ std::move(scratch_it) }, + _infos_it{ std::move(infos_it) }, + _cell_threshold_it{ std::move(cell_threshold_it) }, + _projection_threshold_it{ std::move(projection_threshold_it) } + { + } + + std::string description() const + { + std::stringstream description; + description << "In=" << *_src_it << ":"; + description << "InputWeights=" << *_input_weights_it << ":"; + description << "RecurrentWeights=" << *_recurrent_weights_it << ":"; + description << "Biases=" << *_cells_bias_it << ":"; + description << "Scratch=" << *_scratch_it << ":"; + description << "Out=" << *_dst_it; + return description.str(); + } + + LSTMLayerDataset::type operator*() const + { + return std::make_tuple(*_src_it, *_input_weights_it, *_recurrent_weights_it, *_cells_bias_it, *_output_cell_it, *_dst_it, *_scratch_it, *_infos_it, *_cell_threshold_it, *_projection_threshold_it); + } + + iterator &operator++() + { + ++_src_it; + ++_input_weights_it; + ++_recurrent_weights_it; + ++_cells_bias_it; + ++_output_cell_it; + ++_dst_it; + ++_scratch_it; + ++_infos_it; + ++_cell_threshold_it; + ++_projection_threshold_it; + + return *this; + } + + private: + std::vector<TensorShape>::const_iterator _src_it; + std::vector<TensorShape>::const_iterator _input_weights_it; + std::vector<TensorShape>::const_iterator _recurrent_weights_it; + std::vector<TensorShape>::const_iterator _cells_bias_it; + std::vector<TensorShape>::const_iterator _output_cell_it; + std::vector<TensorShape>::const_iterator _dst_it; + std::vector<TensorShape>::const_iterator _scratch_it; + std::vector<ActivationLayerInfo>::const_iterator _infos_it; + std::vector<float>::const_iterator _cell_threshold_it; + std::vector<float>::const_iterator _projection_threshold_it; + }; + + iterator begin() const + { + return iterator(_src_shapes.begin(), _input_weights_shapes.begin(), _recurrent_weights_shapes.begin(), _cell_bias_shapes.begin(), _output_cell_shapes.begin(), _dst_shapes.begin(), + _scratch_shapes.begin(), _infos.begin(), _cell_threshold.begin(), _projection_threshold.begin()); + } + + int size() const + { + return std::min(_src_shapes.size(), std::min(_input_weights_shapes.size(), std::min(_recurrent_weights_shapes.size(), std::min(_cell_bias_shapes.size(), std::min(_output_cell_shapes.size(), + std::min(_dst_shapes.size(), std::min(_scratch_shapes.size(), std::min(_cell_threshold.size(), std::min(_projection_threshold.size(), _infos.size()))))))))); + } + + void add_config(TensorShape src, TensorShape input_weights, TensorShape recurrent_weights, TensorShape cell_bias_weights, TensorShape output_cell_state, TensorShape dst, TensorShape scratch, + ActivationLayerInfo info, float cell_threshold, float projection_threshold) + { + _src_shapes.emplace_back(std::move(src)); + _input_weights_shapes.emplace_back(std::move(input_weights)); + _recurrent_weights_shapes.emplace_back(std::move(recurrent_weights)); + _cell_bias_shapes.emplace_back(std::move(cell_bias_weights)); + _output_cell_shapes.emplace_back(std::move(output_cell_state)); + _dst_shapes.emplace_back(std::move(dst)); + _scratch_shapes.emplace_back(std::move(scratch)); + _infos.emplace_back(std::move(info)); + _cell_threshold.emplace_back(std::move(cell_threshold)); + _projection_threshold.emplace_back(std::move(projection_threshold)); + } + +protected: + LSTMLayerDataset() = default; + LSTMLayerDataset(LSTMLayerDataset &&) = default; + +private: + std::vector<TensorShape> _src_shapes{}; + std::vector<TensorShape> _input_weights_shapes{}; + std::vector<TensorShape> _recurrent_weights_shapes{}; + std::vector<TensorShape> _cell_bias_shapes{}; + std::vector<TensorShape> _output_cell_shapes{}; + std::vector<TensorShape> _dst_shapes{}; + std::vector<TensorShape> _scratch_shapes{}; + std::vector<ActivationLayerInfo> _infos{}; + std::vector<float> _cell_threshold{}; + std::vector<float> _projection_threshold{}; +}; + +class SmallLSTMLayerDataset final : public LSTMLayerDataset +{ +public: + SmallLSTMLayerDataset() + { + add_config(TensorShape(8U, 2U), TensorShape(8U, 16U), TensorShape(16U, 16U), TensorShape(16U), TensorShape(16U, 2U), TensorShape(16U, 2U), TensorShape(64U, 2U), ActivationLayerInfo(), 0.05f, 0.93f); + add_config(TensorShape(8U, 2U), TensorShape(8U, 16U), TensorShape(16U, 16U), TensorShape(16U), TensorShape(16U, 2U), TensorShape(16U, 2U), TensorShape(48U, 2U), ActivationLayerInfo(), 0.05f, 0.93f); + } +}; + +} // namespace datasets +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_LSTM_LAYER_DATASET */ |