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Diffstat (limited to 'tests/datasets_new/FullyConnectedLayerDataset.h')
| -rw-r--r-- | tests/datasets_new/FullyConnectedLayerDataset.h | 151 |
1 files changed, 0 insertions, 151 deletions
diff --git a/tests/datasets_new/FullyConnectedLayerDataset.h b/tests/datasets_new/FullyConnectedLayerDataset.h deleted file mode 100644 index 8401e39ece..0000000000 --- a/tests/datasets_new/FullyConnectedLayerDataset.h +++ /dev/null @@ -1,151 +0,0 @@ -/* - * 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{}; -}; - -class SmallFullyConnectedLayerDataset final : public FullyConnectedLayerDataset -{ -public: - SmallFullyConnectedLayerDataset() - { - // Conv -> FC - add_config(TensorShape(9U, 5U, 7U), TensorShape(315U, 271U), TensorShape(271U), TensorShape(271U)); - // Conv -> FC (batched) - add_config(TensorShape(9U, 5U, 7U, 3U), TensorShape(315U, 271U), TensorShape(271U), TensorShape(271U, 3U)); - // FC -> FC - add_config(TensorShape(201U), TensorShape(201U, 529U), TensorShape(529U), TensorShape(529U)); - // FC -> FC (batched) - add_config(TensorShape(201U, 3U), TensorShape(201U, 529U), TensorShape(529U), TensorShape(529U, 3U)); - - add_config(TensorShape(9U, 5U, 7U, 3U, 2U), TensorShape(315U, 271U), TensorShape(271U), TensorShape(271U, 3U, 2U)); - } -}; - -class LargeFullyConnectedLayerDataset final : public FullyConnectedLayerDataset -{ -public: - LargeFullyConnectedLayerDataset() - { - add_config(TensorShape(9U, 5U, 257U), TensorShape(11565U, 2123U), TensorShape(2123U), TensorShape(2123U)); - add_config(TensorShape(9U, 5U, 257U, 2U), TensorShape(11565U, 2123U), TensorShape(2123U), TensorShape(2123U, 2U)); - add_config(TensorShape(3127U), TensorShape(3127U, 989U), TensorShape(989U), TensorShape(989U)); - add_config(TensorShape(3127U, 2U), TensorShape(3127U, 989U), TensorShape(989U), TensorShape(989U, 2U)); - - add_config(TensorShape(9U, 5U, 257U, 2U, 3U), TensorShape(11565U, 2123U), TensorShape(2123U), TensorShape(2123U, 2U, 3U)); - } -}; -} // namespace datasets -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_FULLYCONNECTED_LAYER_DATASET */ |