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_SQUEEZENET_CONVOLUTION_LAYER_DATASET 25 #define ARM_COMPUTE_TEST_SQUEEZENET_CONVOLUTION_LAYER_DATASET 26 27 #include "tests/datasets/ConvolutionLayerDataset.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 SqueezeNetWinogradLayerDataset final : public ConvolutionLayerDataset 41 { 42 public: SqueezeNetWinogradLayerDataset()43 SqueezeNetWinogradLayerDataset() 44 { 45 // fire2/expand3x3, fire3/expand3x3 46 add_config(TensorShape(55U, 55U, 16U), TensorShape(3U, 3U, 16U, 64U), TensorShape(64U), TensorShape(55U, 55U, 64U), PadStrideInfo(1, 1, 1, 1)); 47 // fire4/expand3x3, fire5/expand3x3 48 add_config(TensorShape(27U, 27U, 32U), TensorShape(3U, 3U, 32U, 128U), TensorShape(128U), TensorShape(27U, 27U, 128U), PadStrideInfo(1, 1, 1, 1)); 49 // fire6/expand3x3, fire7/expand3x3 50 add_config(TensorShape(13U, 13U, 48U), TensorShape(3U, 3U, 48U, 192U), TensorShape(192U), TensorShape(13U, 13U, 192U), PadStrideInfo(1, 1, 1, 1)); 51 // fire8/expand3x3, fire9/expand3x3 52 add_config(TensorShape(13U, 13U, 64U), TensorShape(3U, 3U, 64U, 256U), TensorShape(256U), TensorShape(13U, 13U, 256U), PadStrideInfo(1, 1, 1, 1)); 53 } 54 }; 55 56 class SqueezeNetConvolutionLayerDataset final : public ConvolutionLayerDataset 57 { 58 public: SqueezeNetConvolutionLayerDataset()59 SqueezeNetConvolutionLayerDataset() 60 { 61 // conv1 62 add_config(TensorShape(224U, 224U, 3U), TensorShape(3U, 3U, 3U, 64U), TensorShape(64U), TensorShape(111U, 111U, 64U), PadStrideInfo(2, 2, 0, 0)); 63 // fire2/squeeze1x1 64 add_config(TensorShape(55U, 55U, 64U), TensorShape(1U, 1U, 64U, 16U), TensorShape(16U), TensorShape(55U, 55U, 16U), PadStrideInfo(1, 1, 0, 0)); 65 // fire2/expand1x1, fire3/expand1x1 66 add_config(TensorShape(55U, 55U, 16U), TensorShape(1U, 1U, 16U, 64U), TensorShape(64U), TensorShape(55U, 55U, 64U), PadStrideInfo(1, 1, 0, 0)); 67 // fire2/expand3x3, fire3/expand3x3 68 add_config(TensorShape(55U, 55U, 16U), TensorShape(3U, 3U, 16U, 64U), TensorShape(64U), TensorShape(55U, 55U, 64U), PadStrideInfo(1, 1, 1, 1)); 69 // fire3/squeeze1x1 70 add_config(TensorShape(55U, 55U, 128U), TensorShape(1U, 1U, 128U, 16U), TensorShape(16U), TensorShape(55U, 55U, 16U), PadStrideInfo(1, 1, 0, 0)); 71 // fire4/squeeze1x1 72 add_config(TensorShape(27U, 27U, 128U), TensorShape(1U, 1U, 128U, 32U), TensorShape(32U), TensorShape(27U, 27U, 32U), PadStrideInfo(1, 1, 0, 0)); 73 // fire4/expand1x1, fire5/expand1x1 74 add_config(TensorShape(27U, 27U, 32U), TensorShape(1U, 1U, 32U, 128U), TensorShape(128U), TensorShape(27U, 27U, 128U), PadStrideInfo(1, 1, 0, 0)); 75 // fire4/expand3x3, fire5/expand3x3 76 add_config(TensorShape(27U, 27U, 32U), TensorShape(3U, 3U, 32U, 128U), TensorShape(128U), TensorShape(27U, 27U, 128U), PadStrideInfo(1, 1, 1, 1)); 77 // fire5/squeeze1x1 78 add_config(TensorShape(27U, 27U, 256U), TensorShape(1U, 1U, 256U, 32U), TensorShape(32U), TensorShape(27U, 27U, 32U), PadStrideInfo(1, 1, 0, 0)); 79 // fire6/squeeze1x1 80 add_config(TensorShape(13U, 13U, 256U), TensorShape(1U, 1U, 256U, 48U), TensorShape(48U), TensorShape(13U, 13U, 48U), PadStrideInfo(1, 1, 0, 0)); 81 // fire6/expand1x1, fire7/expand1x1 82 add_config(TensorShape(13U, 13U, 48U), TensorShape(1U, 1U, 48U, 192U), TensorShape(192U), TensorShape(13U, 13U, 192U), PadStrideInfo(1, 1, 0, 0)); 83 // fire6/expand3x3, fire7/expand3x3 84 add_config(TensorShape(13U, 13U, 48U), TensorShape(3U, 3U, 48U, 192U), TensorShape(192U), TensorShape(13U, 13U, 192U), PadStrideInfo(1, 1, 1, 1)); 85 // fire7/squeeze1x1 86 add_config(TensorShape(13U, 13U, 384U), TensorShape(1U, 1U, 384U, 48U), TensorShape(48U), TensorShape(13U, 13U, 48U), PadStrideInfo(1, 1, 0, 0)); 87 // fire8/squeeze1x1 88 add_config(TensorShape(13U, 13U, 384U), TensorShape(1U, 1U, 384U, 64U), TensorShape(64U), TensorShape(13U, 13U, 64U), PadStrideInfo(1, 1, 0, 0)); 89 // fire8/expand1x1, fire9/expand1x1 90 add_config(TensorShape(13U, 13U, 64U), TensorShape(1U, 1U, 64U, 256U), TensorShape(256U), TensorShape(13U, 13U, 256U), PadStrideInfo(1, 1, 0, 0)); 91 // fire8/expand3x3, fire9/expand3x3 92 add_config(TensorShape(13U, 13U, 64U), TensorShape(3U, 3U, 64U, 256U), TensorShape(256U), TensorShape(13U, 13U, 256U), PadStrideInfo(1, 1, 1, 1)); 93 // fire9/squeeze1x1 94 add_config(TensorShape(13U, 13U, 512U), TensorShape(1U, 1U, 512U, 64U), TensorShape(64U), TensorShape(13U, 13U, 64U), PadStrideInfo(1, 1, 0, 0)); 95 // conv10 96 add_config(TensorShape(13U, 13U, 512U), TensorShape(1U, 1U, 512U, 1000U), TensorShape(1000U), TensorShape(13U, 13U, 1000U), PadStrideInfo(1, 1, 0, 0)); 97 } 98 }; 99 } // namespace datasets 100 } // namespace test 101 } // namespace arm_compute 102 #endif /* ARM_COMPUTE_TEST_SQUEEZENET_CONVOLUTION_LAYER_DATASET */ 103