1 /* 2 * Copyright (c) 2017 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_GOOGLENETINCEPTIONV1_ACTIVATION_LAYER_DATASET 25 #define ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV1_ACTIVATION_LAYER_DATASET 26 27 #include "tests/framework/datasets/Datasets.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 GoogLeNetInceptionV1ActivationLayerDataset final : public 41 framework::dataset::CartesianProductDataset<framework::dataset::InitializerListDataset<TensorShape>, framework::dataset::SingletonDataset<ActivationLayerInfo>> 42 { 43 public: GoogLeNetInceptionV1ActivationLayerDataset()44 GoogLeNetInceptionV1ActivationLayerDataset() 45 : CartesianProductDataset 46 { 47 framework::dataset::make("Shape", { // conv1/relu_7x7 48 TensorShape(112U, 112U, 64U), 49 // conv2/relu_3x3_reduce 50 TensorShape(56U, 56U, 64U), 51 // conv2/relu_3x3 52 TensorShape(56U, 56U, 192U), 53 // inception_3a/relu_1x1, inception_3b/relu_pool_proj 54 TensorShape(28U, 28U, 64U), 55 // inception_3a/relu_3x3_reduce, inception_3b/relu_5x5 56 TensorShape(28U, 28U, 96U), 57 // inception_3a/relu_3x3, inception_3b/relu_1x1, inception_3b/relu_3x3_reduce 58 TensorShape(28U, 28U, 128U), 59 // inception_3a/relu_5x5_reduce 60 TensorShape(28U, 28U, 16U), 61 // inception_3a/relu_5x5, inception_3a/relu_pool_proj, inception_3b/relu_5x5_reduce 62 TensorShape(28U, 28U, 32U), 63 // inception_3b/relu_3x3 64 TensorShape(28U, 28U, 192U), 65 // inception_4a/relu_1x1 66 TensorShape(14U, 14U, 192U), 67 // inception_4a/relu_3x3_reduce 68 TensorShape(14U, 14U, 96U), 69 // inception_4a/relu_3x3 70 TensorShape(14U, 14U, 208U), 71 // inception_4a/relu_5x5_reduce 72 TensorShape(14U, 14U, 16U), 73 // inception_4a/relu_5x5 74 TensorShape(14U, 14U, 48U), 75 // 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 76 TensorShape(14U, 14U, 64U), 77 // inception_4b/relu_1x1, inception_4e/relu_3x3_reduce 78 TensorShape(14U, 14U, 160U), 79 // inception_4b/relu_3x3_reduce, inception_4d/relu_1x1 80 TensorShape(14U, 14U, 112U), 81 // inception_4b/relu_3x3 82 TensorShape(14U, 14U, 224U), 83 // inception_4b/relu_5x5_reduce, inception_4c/relu_5x5_reduce 84 TensorShape(14U, 14U, 24U), 85 // inception_4c/relu_1x1, inception_4c/relu_3x3_reduce, inception_4e/relu_5x5, inception_4e/relu_pool_proj 86 TensorShape(14U, 14U, 128U), 87 // inception_4c/relu_3x3, inception_4e/relu_1x1 88 TensorShape(14U, 14U, 256U), 89 // inception_4d/relu_3x3_reduce 90 TensorShape(14U, 14U, 144U), 91 // inception_4d/relu_3x3 92 TensorShape(14U, 14U, 288U), 93 // inception_4d/relu_5x5_reduce, inception_4e/relu_5x5_reduce 94 TensorShape(14U, 14U, 32U), 95 // inception_4e/relu_3x3 96 TensorShape(14U, 14U, 320U), 97 // inception_5a/relu_1x1 98 TensorShape(7U, 7U, 256U), 99 // inception_5a/relu_3x3_reduce 100 TensorShape(7U, 7U, 160U), 101 // inception_5a/relu_3x3 102 TensorShape(7U, 7U, 320U), 103 // inception_5a/relu_5x5_reduce 104 TensorShape(7U, 7U, 32U), 105 // inception_5a/relu_5x5, inception_5a/relu_pool_proj, inception_5b/relu_5x5, inception_5b/relu_pool_proj 106 TensorShape(7U, 7U, 128U), 107 // inception_5b/relu_1x1, inception_5b/relu_3x3 108 TensorShape(7U, 7U, 384U), 109 // inception_5b/relu_3x3_reduce 110 TensorShape(7U, 7U, 192U), 111 // inception_5b/relu_5x5_reduce 112 TensorShape(7U, 7U, 48U) }), 113 framework::dataset::make("Info", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)) 114 } 115 { 116 } 117 GoogLeNetInceptionV1ActivationLayerDataset(GoogLeNetInceptionV1ActivationLayerDataset &&) = default; 118 ~GoogLeNetInceptionV1ActivationLayerDataset() = default; 119 }; 120 } // namespace datasets 121 } // namespace test 122 } // namespace arm_compute 123 #endif /* ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV1_ACTIVATION_LAYER_DATASET */ 124