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Diffstat (limited to 'tests/validation_old/dataset/ActivationLayerDataset.h')
| -rw-r--r-- | tests/validation_old/dataset/ActivationLayerDataset.h | 177 |
1 files changed, 0 insertions, 177 deletions
diff --git a/tests/validation_old/dataset/ActivationLayerDataset.h b/tests/validation_old/dataset/ActivationLayerDataset.h deleted file mode 100644 index 881e19ff79..0000000000 --- a/tests/validation_old/dataset/ActivationLayerDataset.h +++ /dev/null @@ -1,177 +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_DATASET_ACTIVATION_LAYER_DATASET_H__ -#define __ARM_COMPUTE_TEST_DATASET_ACTIVATION_LAYER_DATASET_H__ - -#include "utils/TypePrinter.h" - -#include "arm_compute/core/TensorShape.h" -#include "arm_compute/core/Types.h" -#include "tests/validation_old/dataset/GenericDataset.h" - -#include <sstream> -#include <type_traits> - -#ifdef BOOST -#include "tests/validation_old/boost_wrapper.h" -#endif /* BOOST */ - -namespace arm_compute -{ -namespace test -{ -class ActivationLayerDataObject -{ -public: - operator std::string() const - { - std::stringstream ss; - ss << "ActivationLayer"; - ss << "_I" << shape; - ss << "_F_" << info.activation(); - return ss.str(); - } - -public: - TensorShape shape; - ActivationLayerInfo info; -}; - -template <unsigned int Size> -using ActivationLayerDataset = GenericDataset<ActivationLayerDataObject, Size>; - -class AlexNetActivationLayerDataset final : public ActivationLayerDataset<5> -{ -public: - AlexNetActivationLayerDataset() - : GenericDataset - { - ActivationLayerDataObject{ TensorShape(55U, 55U, 96U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - ActivationLayerDataObject{ TensorShape(27U, 27U, 256U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - ActivationLayerDataObject{ TensorShape(13U, 13U, 384U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - ActivationLayerDataObject{ TensorShape(13U, 13U, 256U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - ActivationLayerDataObject{ TensorShape(4096U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - } - { - } - - ~AlexNetActivationLayerDataset() = default; -}; - -class LeNet5ActivationLayerDataset final : public ActivationLayerDataset<1> -{ -public: - LeNet5ActivationLayerDataset() - : GenericDataset - { - ActivationLayerDataObject{ TensorShape(500U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - } - { - } - - ~LeNet5ActivationLayerDataset() = default; -}; - -class GoogLeNetActivationLayerDataset final : public ActivationLayerDataset<33> -{ -public: - GoogLeNetActivationLayerDataset() - : GenericDataset - { - // conv1/relu_7x7 - ActivationLayerDataObject{ TensorShape(112U, 112U, 64U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // conv2/relu_3x3_reduce - ActivationLayerDataObject{ TensorShape(56U, 56U, 64U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // conv2/relu_3x3 - ActivationLayerDataObject{ TensorShape(56U, 56U, 192U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_3a/relu_1x1, inception_3b/relu_pool_proj - ActivationLayerDataObject{ TensorShape(28U, 28U, 64U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_3a/relu_3x3_reduce, inception_3b/relu_5x5 - ActivationLayerDataObject{ TensorShape(28U, 28U, 96U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_3a/relu_3x3, inception_3b/relu_1x1, inception_3b/relu_3x3_reduce - ActivationLayerDataObject{ TensorShape(28U, 28U, 128U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_3a/relu_5x5_reduce - ActivationLayerDataObject{ TensorShape(28U, 28U, 16U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_3a/relu_5x5, inception_3a/relu_pool_proj, inception_3b/relu_5x5_reduce - ActivationLayerDataObject{ TensorShape(28U, 28U, 32U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_3b/relu_3x3 - ActivationLayerDataObject{ TensorShape(28U, 28U, 192U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4a/relu_1x1 - ActivationLayerDataObject{ TensorShape(14U, 14U, 192U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4a/relu_3x3_reduce - ActivationLayerDataObject{ TensorShape(14U, 14U, 96U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4a/relu_3x3 - ActivationLayerDataObject{ TensorShape(14U, 14U, 208U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4a/relu_5x5_reduce - ActivationLayerDataObject{ TensorShape(14U, 14U, 16U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4a/relu_5x5 - ActivationLayerDataObject{ TensorShape(14U, 14U, 48U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4a/relu_pool_proj, inception_4b/relu_5x5, inception_4b/relu_pool_proj, inception_4c/relu_5x5, inception_4c/relu_pool_proj, inception_4d/relu_5x5, inception_4d/relu_pool_proj - ActivationLayerDataObject{ TensorShape(14U, 14U, 64U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4b/relu_1x1, inception_4e/relu_3x3_reduce - ActivationLayerDataObject{ TensorShape(14U, 14U, 160U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4b/relu_3x3_reduce, inception_4d/relu_1x1 - ActivationLayerDataObject{ TensorShape(14U, 14U, 112U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4b/relu_3x3 - ActivationLayerDataObject{ TensorShape(14U, 14U, 224U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4b/relu_5x5_reduce, inception_4c/relu_5x5_reduce - ActivationLayerDataObject{ TensorShape(14U, 14U, 24U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4c/relu_1x1, inception_4c/relu_3x3_reduce, inception_4e/relu_5x5, inception_4e/relu_pool_proj - ActivationLayerDataObject{ TensorShape(14U, 14U, 128U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4c/relu_3x3, inception_4e/relu_1x1 - ActivationLayerDataObject{ TensorShape(14U, 14U, 256U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4d/relu_3x3_reduce - ActivationLayerDataObject{ TensorShape(14U, 14U, 144U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4d/relu_3x3 - ActivationLayerDataObject{ TensorShape(14U, 14U, 288U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4d/relu_5x5_reduce, inception_4e/relu_5x5_reduce - ActivationLayerDataObject{ TensorShape(14U, 14U, 32U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_4e/relu_3x3 - ActivationLayerDataObject{ TensorShape(14U, 14U, 320U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_5a/relu_1x1 - ActivationLayerDataObject{ TensorShape(7U, 7U, 256U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_5a/relu_3x3_reduce - ActivationLayerDataObject{ TensorShape(7U, 7U, 160U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_5a/relu_3x3 - ActivationLayerDataObject{ TensorShape(7U, 7U, 320U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_5a/relu_5x5_reduce - ActivationLayerDataObject{ TensorShape(7U, 7U, 32U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_5a/relu_5x5, inception_5a/relu_pool_proj, inception_5b/relu_5x5, inception_5b/relu_pool_proj - ActivationLayerDataObject{ TensorShape(7U, 7U, 128U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_5b/relu_1x1, inception_5b/relu_3x3 - ActivationLayerDataObject{ TensorShape(7U, 7U, 384U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_5b/relu_3x3_reduce - ActivationLayerDataObject{ TensorShape(7U, 7U, 192U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }, - // inception_5b/relu_5x5_reduce - ActivationLayerDataObject{ TensorShape(7U, 7U, 48U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) } - } - { - } - - ~GoogLeNetActivationLayerDataset() = default; -}; - -} // namespace test -} // namespace arm_compute -#endif //__ARM_COMPUTE_TEST_DATASET_ACTIVATION_LAYER_DATASET_H__ |