| /* |
| * 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_SQUEEZENET_ACTIVATION_LAYER_DATASET |
| #define ARM_COMPUTE_TEST_SQUEEZENET_ACTIVATION_LAYER_DATASET |
| |
| #include "tests/framework/datasets/Datasets.h" |
| |
| #include "utils/TypePrinter.h" |
| |
| #include "arm_compute/core/TensorShape.h" |
| #include "arm_compute/core/Types.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace datasets |
| { |
| class SqueezeNetActivationLayerDataset final : public |
| framework::dataset::CartesianProductDataset<framework::dataset::InitializerListDataset<TensorShape>, framework::dataset::SingletonDataset<ActivationLayerInfo>> |
| { |
| public: |
| SqueezeNetActivationLayerDataset() |
| : CartesianProductDataset |
| { |
| framework::dataset::make("Shape", { // relu_conv1 |
| TensorShape(111U, 111U, 64U), |
| // fire2/relu_squeeze1x1, fire3/relu_squeeze1x1 |
| TensorShape(55U, 55U, 16U), |
| // fire2/relu_expand1x1, fire2/relu_expand3x3, fire3/relu_expand1x1, fire3/relu_expand3x3 |
| TensorShape(55U, 55U, 64U), |
| // fire4/relu_squeeze1x1, fire5/relu_squeeze1x1 |
| TensorShape(27U, 27U, 32U), |
| // fire4/relu_expand1x1, fire4/relu_expand3x3, fire5/relu_expand1x1, fire5/relu_expand3x3 |
| TensorShape(27U, 27U, 128U), |
| // fire6/relu_squeeze1x1, fire7/relu_squeeze1x1 |
| TensorShape(13U, 13U, 48U), |
| // fire6/relu_expand1x1, fire6/relu_expand3x3, fire7/relu_expand1x1, fire7/relu_expand3x3 |
| TensorShape(13U, 13U, 192U), |
| // fire8/relu_squeeze1x1, fire9/relu_squeeze1x1 |
| TensorShape(13U, 13U, 64U), |
| // fire8/relu_expand1x1, fire8/relu_expand3x3, fire9/relu_expand1x1, fire9/relu_expand3x3 |
| TensorShape(13U, 13U, 256U), |
| // relu_conv10 |
| TensorShape(13U, 13U, 1000U) }), |
| framework::dataset::make("Info", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)) |
| } |
| { |
| } |
| SqueezeNetActivationLayerDataset(SqueezeNetActivationLayerDataset &&) = default; |
| ~SqueezeNetActivationLayerDataset() = default; |
| }; |
| } // namespace datasets |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_SQUEEZENET_ACTIVATION_LAYER_DATASET */ |