diff options
Diffstat (limited to 'tests/datasets/system_tests')
7 files changed, 42 insertions, 42 deletions
diff --git a/tests/datasets/system_tests/alexnet/AlexNetPoolingLayerDataset.h b/tests/datasets/system_tests/alexnet/AlexNetPoolingLayerDataset.h index 739d24ca18..241f2569ef 100644 --- a/tests/datasets/system_tests/alexnet/AlexNetPoolingLayerDataset.h +++ b/tests/datasets/system_tests/alexnet/AlexNetPoolingLayerDataset.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -42,9 +42,9 @@ class AlexNetPoolingLayerDataset final : public PoolingLayerDataset public: AlexNetPoolingLayerDataset() { - add_config(TensorShape(55U, 55U, 96U), TensorShape(27U, 27U, 96U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0))); - add_config(TensorShape(27U, 27U, 256U), TensorShape(13U, 13U, 256U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0))); - add_config(TensorShape(13U, 13U, 256U), TensorShape(6U, 6U, 256U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0))); + add_config(TensorShape(55U, 55U, 96U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0))); + add_config(TensorShape(27U, 27U, 256U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0))); + add_config(TensorShape(13U, 13U, 256U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0))); } }; } // namespace datasets diff --git a/tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1PoolingLayerDataset.h b/tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1PoolingLayerDataset.h index b775667ac8..652ac6be2b 100644 --- a/tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1PoolingLayerDataset.h +++ b/tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1PoolingLayerDataset.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -44,25 +44,25 @@ public: { // FIXME: Add support for 7x7 pooling layer pool5/7x7_s1 // pool1/3x3_s2 - add_config(TensorShape(112U, 112U, 64U), TensorShape(56U, 56U, 64U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); + add_config(TensorShape(112U, 112U, 64U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); // pool2/3x3_s2 - add_config(TensorShape(56U, 56U, 192U), TensorShape(28U, 28U, 192U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); + add_config(TensorShape(56U, 56U, 192U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); // inception_3a/pool - add_config(TensorShape(28U, 28U, 192U), TensorShape(28U, 28U, 192U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL))); + add_config(TensorShape(28U, 28U, 192U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL))); // inception_3b/pool - add_config(TensorShape(28U, 28U, 256U), TensorShape(28U, 28U, 256U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL))); + add_config(TensorShape(28U, 28U, 256U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL))); // pool3/3x3_s2 - add_config(TensorShape(28U, 28U, 480U), TensorShape(14U, 14U, 480U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); + add_config(TensorShape(28U, 28U, 480U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); // inception_4a/pool - add_config(TensorShape(14U, 14U, 480U), TensorShape(14U, 14U, 480U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL))); + add_config(TensorShape(14U, 14U, 480U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL))); // inception_4b/pool, inception_4c/pool, inception_4d/pool - add_config(TensorShape(14U, 14U, 512U), TensorShape(14U, 14U, 512U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL))); + add_config(TensorShape(14U, 14U, 512U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL))); // inception_4e/pool - add_config(TensorShape(14U, 14U, 528U), TensorShape(14U, 14U, 528U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL))); + add_config(TensorShape(14U, 14U, 528U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL))); // pool4/3x3_s2 - add_config(TensorShape(14U, 14U, 832U), TensorShape(7U, 7U, 832U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); + add_config(TensorShape(14U, 14U, 832U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); // inception_5a/pool, inception_5b/pool - add_config(TensorShape(7U, 7U, 832U), TensorShape(7U, 7U, 832U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL))); + add_config(TensorShape(7U, 7U, 832U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL))); } }; } // namespace datasets diff --git a/tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4PoolingLayerDataset.h b/tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4PoolingLayerDataset.h index a58fd797ec..12eefdd5e5 100644 --- a/tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4PoolingLayerDataset.h +++ b/tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4PoolingLayerDataset.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -44,19 +44,19 @@ public: { // FIXME: Add support for global pooling layer pool_8x8_s1 // inception_stem1_pool - add_config(TensorShape(147U, 147U, 64U), TensorShape(73U, 73U, 64U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); + add_config(TensorShape(147U, 147U, 64U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); // inception_stem3_pool - add_config(TensorShape(71U, 71U, 192U), TensorShape(35U, 35U, 192U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); + add_config(TensorShape(71U, 71U, 192U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); // inception_a1_pool_ave, inception_a2_pool_ave, inception_a3_pool_ave, inception_a4_pool_ave - add_config(TensorShape(35U, 35U, 384U), TensorShape(35U, 35U, 384U), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL))); + add_config(TensorShape(35U, 35U, 384U), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL))); // reduction_a_pool - add_config(TensorShape(35U, 35U, 384U), TensorShape(17U, 17U, 384U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); + add_config(TensorShape(35U, 35U, 384U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); // 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 - add_config(TensorShape(17U, 17U, 1024U), TensorShape(17U, 17U, 1024U), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL))); + add_config(TensorShape(17U, 17U, 1024U), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL))); // reduction_b_pool - add_config(TensorShape(17U, 17U, 1024U), TensorShape(8U, 8U, 1024U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); + add_config(TensorShape(17U, 17U, 1024U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); // inception_c1_pool_ave, inception_c2_pool_ave, inception_c3_pool_ave - add_config(TensorShape(8U, 8U, 1536U), TensorShape(8U, 8U, 1536U), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL))); + add_config(TensorShape(8U, 8U, 1536U), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL))); } }; } // namespace datasets diff --git a/tests/datasets/system_tests/lenet5/LeNet5PoolingLayerDataset.h b/tests/datasets/system_tests/lenet5/LeNet5PoolingLayerDataset.h index bcd11dc5b9..5740dc34d6 100644 --- a/tests/datasets/system_tests/lenet5/LeNet5PoolingLayerDataset.h +++ b/tests/datasets/system_tests/lenet5/LeNet5PoolingLayerDataset.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -42,8 +42,8 @@ class LeNet5PoolingLayerDataset final : public PoolingLayerDataset public: LeNet5PoolingLayerDataset() { - add_config(TensorShape(24U, 24U, 20U), TensorShape(12U, 12U, 20U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0))); - add_config(TensorShape(8U, 8U, 50U), TensorShape(4U, 4U, 50U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0))); + add_config(TensorShape(24U, 24U, 20U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0))); + add_config(TensorShape(8U, 8U, 50U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0))); } }; } // namespace datasets diff --git a/tests/datasets/system_tests/squeezenet/SqueezeNetPoolingLayerDataset.h b/tests/datasets/system_tests/squeezenet/SqueezeNetPoolingLayerDataset.h index cb2edbc5ec..b1283cdc05 100644 --- a/tests/datasets/system_tests/squeezenet/SqueezeNetPoolingLayerDataset.h +++ b/tests/datasets/system_tests/squeezenet/SqueezeNetPoolingLayerDataset.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -43,11 +43,11 @@ public: SqueezeNetPoolingLayerDataset() { // pool1 - add_config(TensorShape(111U, 111U, 64U), TensorShape(55U, 55U, 64U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); + add_config(TensorShape(111U, 111U, 64U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); // pool3 - add_config(TensorShape(55U, 55U, 128U), TensorShape(27U, 27U, 128U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); + add_config(TensorShape(55U, 55U, 128U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); // pool5 - add_config(TensorShape(27U, 27U, 256U), TensorShape(13U, 13U, 256U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); + add_config(TensorShape(27U, 27U, 256U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); //FIXME: Add support for global pooling. } }; diff --git a/tests/datasets/system_tests/vgg/vgg16/VGG16PoolingLayerDataset.h b/tests/datasets/system_tests/vgg/vgg16/VGG16PoolingLayerDataset.h index affbcc5022..35221dddf6 100644 --- a/tests/datasets/system_tests/vgg/vgg16/VGG16PoolingLayerDataset.h +++ b/tests/datasets/system_tests/vgg/vgg16/VGG16PoolingLayerDataset.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -43,15 +43,15 @@ public: VGG16PoolingLayerDataset() { // pool1 - add_config(TensorShape(224U, 224U, 64U), TensorShape(112U, 112U, 64U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); + add_config(TensorShape(224U, 224U, 64U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); // pool2 - add_config(TensorShape(112U, 112U, 128U), TensorShape(56U, 56U, 128U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); + add_config(TensorShape(112U, 112U, 128U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); // pool3 - add_config(TensorShape(56U, 56U, 256U), TensorShape(28U, 28U, 256U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); + add_config(TensorShape(56U, 56U, 256U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); // pool4 - add_config(TensorShape(28U, 28U, 512U), TensorShape(14U, 14U, 512U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); + add_config(TensorShape(28U, 28U, 512U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); // pool5 - add_config(TensorShape(14U, 14U, 512U), TensorShape(7U, 7U, 512U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); + add_config(TensorShape(14U, 14U, 512U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); } }; } // namespace datasets diff --git a/tests/datasets/system_tests/yolo/v2/YOLOV2PoolingLayerDataset.h b/tests/datasets/system_tests/yolo/v2/YOLOV2PoolingLayerDataset.h index 62222f3a88..ddbad6b4d3 100644 --- a/tests/datasets/system_tests/yolo/v2/YOLOV2PoolingLayerDataset.h +++ b/tests/datasets/system_tests/yolo/v2/YOLOV2PoolingLayerDataset.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -43,15 +43,15 @@ public: YOLOV2PoolingLayerDataset() { // pool1 - add_config(TensorShape(416U, 416U, 32U), TensorShape(208U, 208U, 32U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); + add_config(TensorShape(416U, 416U, 32U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); // pool2 - add_config(TensorShape(208U, 208U, 64U), TensorShape(104U, 104U, 64U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); + add_config(TensorShape(208U, 208U, 64U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); // pool5 - add_config(TensorShape(104U, 104U, 128U), TensorShape(52U, 52U, 128U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); + add_config(TensorShape(104U, 104U, 128U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); // pool8 - add_config(TensorShape(52U, 52U, 256U), TensorShape(26U, 26U, 256U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); + add_config(TensorShape(52U, 52U, 256U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); // pool13 - add_config(TensorShape(26U, 26U, 512U), TensorShape(13U, 13U, 512U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); + add_config(TensorShape(26U, 26U, 512U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); } }; } // namespace datasets |