1 /* 2 * Copyright (c) 2017-2018 Arm Limited. 3 * 4 * SPDX-License-Identifier: MIT 5 * 6 * Permission is hereby granted, free of charge, to any person obtaining a copy 7 * of this software and associated documentation files (the "Software"), to 8 * deal in the Software without restriction, including without limitation the 9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or 10 * sell copies of the Software, and to permit persons to whom the Software is 11 * furnished to do so, subject to the following conditions: 12 * 13 * The above copyright notice and this permission notice shall be included in all 14 * copies or substantial portions of the Software. 15 * 16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 22 * SOFTWARE. 23 */ 24 #ifndef ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_POOLING_LAYER_DATASET 25 #define ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_POOLING_LAYER_DATASET 26 27 #include "tests/datasets/PoolingLayerDataset.h" 28 29 #include "utils/TypePrinter.h" 30 31 #include "arm_compute/core/TensorShape.h" 32 #include "arm_compute/core/Types.h" 33 34 namespace arm_compute 35 { 36 namespace test 37 { 38 namespace datasets 39 { 40 class GoogLeNetInceptionV4PoolingLayerDataset final : public PoolingLayerDataset 41 { 42 public: GoogLeNetInceptionV4PoolingLayerDataset()43 GoogLeNetInceptionV4PoolingLayerDataset() 44 { 45 // FIXME: Add support for global pooling layer pool_8x8_s1 46 // inception_stem1_pool 47 add_config(TensorShape(147U, 147U, 64U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); 48 // inception_stem3_pool 49 add_config(TensorShape(71U, 71U, 192U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); 50 // inception_a1_pool_ave, inception_a2_pool_ave, inception_a3_pool_ave, inception_a4_pool_ave 51 add_config(TensorShape(35U, 35U, 384U), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL))); 52 // reduction_a_pool 53 add_config(TensorShape(35U, 35U, 384U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); 54 // inception_b1_pool_ave, inception_b2_pool_ave, inception_b3_pool_ave, inception_b4_pool_ave, inception_b5_pool_ave, inception_b6_pool_ave, inception_b7_pool_ave 55 add_config(TensorShape(17U, 17U, 1024U), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL))); 56 // reduction_b_pool 57 add_config(TensorShape(17U, 17U, 1024U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); 58 // inception_c1_pool_ave, inception_c2_pool_ave, inception_c3_pool_ave 59 add_config(TensorShape(8U, 8U, 1536U), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL))); 60 } 61 }; 62 } // namespace datasets 63 } // namespace test 64 } // namespace arm_compute 65 #endif /* ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_POOLING_LAYER_DATASET */ 66