| /* |
| * 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_YOLOV2_BATCHNORMALIZATION_LAYER_DATASET |
| #define ARM_COMPUTE_TEST_YOLOV2_BATCHNORMALIZATION_LAYER_DATASET |
| |
| #include "tests/datasets/BatchNormalizationLayerDataset.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 YOLOV2BatchNormalizationLayerDataset final : public BatchNormalizationLayerDataset |
| { |
| public: |
| YOLOV2BatchNormalizationLayerDataset() |
| { |
| // conv1_bn |
| add_config(TensorShape(416U, 416U, 32U), TensorShape(32U), 0.00001f); |
| // conv2_bn |
| add_config(TensorShape(208U, 208U, 64U), TensorShape(64U), 0.00001f); |
| // conv3_bn, conv5_bn |
| add_config(TensorShape(104U, 104U, 128U), TensorShape(128U), 0.00001f); |
| // conv4_bn |
| add_config(TensorShape(104U, 104U, 64U), TensorShape(64U), 0.00001f); |
| // conv6_bn, conv8_bn |
| add_config(TensorShape(52U, 52U, 256U), TensorShape(256U), 0.00001f); |
| // conv7_bn |
| add_config(TensorShape(52U, 52U, 128U), TensorShape(128U), 0.00001f); |
| // conv9_bn, conv11_bn, conv13_bn |
| add_config(TensorShape(26U, 26U, 512U), TensorShape(512U), 0.00001f); |
| // conv10_bn, conv12_bn |
| add_config(TensorShape(26U, 26U, 256U), TensorShape(256U), 0.00001f); |
| // conv14_bn, conv16_bn, conv18_bn, conv19_bn, conv20_bn, conv21_bn |
| add_config(TensorShape(13U, 13U, 1024U), TensorShape(1024U), 0.00001f); |
| // conv15_bn, conv17_bn |
| add_config(TensorShape(13U, 13U, 512U), TensorShape(512U), 0.00001f); |
| } |
| }; |
| } // namespace datasets |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_YOLOV2_BATCHNORMALIZATION_LAYER_DATASET */ |