From 0aea890b2c572013678c61327e2d53da8f402713 Mon Sep 17 00:00:00 2001 From: SiCong Li Date: Fri, 21 Jul 2017 18:24:36 +0100 Subject: COMPMID-450 Add SqueezeNetV1.1 benchmark tests Change-Id: I489cd7cbc77ac389679ad41876acfb8b09584c0b Reviewed-on: http://mpd-gerrit.cambridge.arm.com/81360 Reviewed-by: Moritz Pflanzer Tested-by: Kaizen --- tests/benchmark_new/CL/ActivationLayer.cpp | 5 ++ tests/benchmark_new/CL/ConvolutionLayer.cpp | 6 ++ tests/benchmark_new/CL/PoolingLayer.cpp | 6 ++ tests/benchmark_new/NEON/ActivationLayer.cpp | 14 +++- tests/benchmark_new/NEON/ConvolutionLayer.cpp | 15 +++- tests/benchmark_new/NEON/PoolingLayer.cpp | 14 +++- tests/datasets_new/ActivationLayerDataset.h | 35 +++++++++ .../SqueezeNetConvolutionLayerDataset.h | 86 ++++++++++++++++++++++ tests/datasets_new/SqueezeNetPoolingLayerDataset.h | 57 ++++++++++++++ 9 files changed, 226 insertions(+), 12 deletions(-) create mode 100644 tests/datasets_new/SqueezeNetConvolutionLayerDataset.h create mode 100644 tests/datasets_new/SqueezeNetPoolingLayerDataset.h diff --git a/tests/benchmark_new/CL/ActivationLayer.cpp b/tests/benchmark_new/CL/ActivationLayer.cpp index 6f8a00727e..bf7b36a9e1 100644 --- a/tests/benchmark_new/CL/ActivationLayer.cpp +++ b/tests/benchmark_new/CL/ActivationLayer.cpp @@ -56,6 +56,11 @@ REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetActivationLayer, CLActivationLayerFixtu framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Batches", { 1, 4, 8 }))); +REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, CLActivationLayerFixture, framework::DatasetMode::ALL, + framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), + framework::dataset::make("DataType", DataType::F32)), + framework::dataset::make("Batches", { 1, 4, 8 }))); + TEST_SUITE_END() } // namespace test } // namespace arm_compute diff --git a/tests/benchmark_new/CL/ConvolutionLayer.cpp b/tests/benchmark_new/CL/ConvolutionLayer.cpp index 6e0d6ffc2a..cae0640bc1 100644 --- a/tests/benchmark_new/CL/ConvolutionLayer.cpp +++ b/tests/benchmark_new/CL/ConvolutionLayer.cpp @@ -33,6 +33,7 @@ #include "tests/datasets_new/AlexNetConvolutionLayerDataset.h" #include "tests/datasets_new/GoogLeNetConvolutionLayerDataset.h" #include "tests/datasets_new/LeNet5ConvolutionLayerDataset.h" +#include "tests/datasets_new/SqueezeNetConvolutionLayerDataset.h" #include "tests/fixtures_new/ConvolutionLayerFixture.h" namespace arm_compute @@ -58,6 +59,11 @@ REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetConvolutionLayer, CLConvolutionLayerFix framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Batches", { 1, 4, 8 }))); +REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL, + framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), + framework::dataset::make("DataType", DataType::F32)), + framework::dataset::make("Batches", { 1, 4, 8 }))); + TEST_SUITE_END() } // namespace test } // namespace arm_compute diff --git a/tests/benchmark_new/CL/PoolingLayer.cpp b/tests/benchmark_new/CL/PoolingLayer.cpp index 125907bff5..de2299286b 100644 --- a/tests/benchmark_new/CL/PoolingLayer.cpp +++ b/tests/benchmark_new/CL/PoolingLayer.cpp @@ -33,6 +33,7 @@ #include "tests/datasets_new/AlexNetPoolingLayerDataset.h" #include "tests/datasets_new/GoogLeNetPoolingLayerDataset.h" #include "tests/datasets_new/LeNet5PoolingLayerDataset.h" +#include "tests/datasets_new/SqueezeNetPoolingLayerDataset.h" #include "tests/fixtures_new/PoolingLayerFixture.h" namespace arm_compute @@ -58,6 +59,11 @@ REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetPoolingLayer, CLPoolingLayerFixture, fr framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Batches", { 1, 4, 8 }))); +REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL, + framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), + framework::dataset::make("DataType", DataType::F32)), + framework::dataset::make("Batches", { 1, 4, 8 }))); + TEST_SUITE_END() } // namespace test } // namespace arm_compute diff --git a/tests/benchmark_new/NEON/ActivationLayer.cpp b/tests/benchmark_new/NEON/ActivationLayer.cpp index 53b401a1ce..beb98b487a 100644 --- a/tests/benchmark_new/NEON/ActivationLayer.cpp +++ b/tests/benchmark_new/NEON/ActivationLayer.cpp @@ -40,11 +40,13 @@ namespace test namespace { #ifdef ARM_COMPUTE_ENABLE_FP16 -const auto alexnet_data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F16, DataType::F32 }); -const auto lenet_data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); +const auto alexnet_data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F16, DataType::F32 }); +const auto lenet_data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); +const auto squeezenet_data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); #else /* ARM_COMPUTE_ENABLE_FP16 */ -const auto alexnet_data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F32 }); -const auto lenet_data_types = framework::dataset::make("DataType", { DataType::F32 }); +const auto alexnet_data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F32 }); +const auto lenet_data_types = framework::dataset::make("DataType", { DataType::F32 }); +const auto squeezenet_data_types = framework::dataset::make("DataType", { DataType::F32 }); #endif /* ARM_COMPUTE_ENABLE_FP16 */ } // namespace @@ -64,6 +66,10 @@ REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetActivationLayer, NEActivationLayerFixtu framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetActivationLayerDataset(), lenet_data_types), framework::dataset::make("Batches", { 1, 4, 8 }))); +REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, + framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), squeezenet_data_types), + framework::dataset::make("Batches", { 1, 4, 8 }))); + TEST_SUITE_END() } // namespace test } // namespace arm_compute diff --git a/tests/benchmark_new/NEON/ConvolutionLayer.cpp b/tests/benchmark_new/NEON/ConvolutionLayer.cpp index 6dd4df89a4..7406180e95 100644 --- a/tests/benchmark_new/NEON/ConvolutionLayer.cpp +++ b/tests/benchmark_new/NEON/ConvolutionLayer.cpp @@ -33,6 +33,7 @@ #include "tests/datasets_new/AlexNetConvolutionLayerDataset.h" #include "tests/datasets_new/GoogLeNetConvolutionLayerDataset.h" #include "tests/datasets_new/LeNet5ConvolutionLayerDataset.h" +#include "tests/datasets_new/SqueezeNetConvolutionLayerDataset.h" #include "tests/fixtures_new/ConvolutionLayerFixture.h" namespace arm_compute @@ -42,11 +43,13 @@ namespace test namespace { #ifdef ARM_COMPUTE_ENABLE_FP16 -const auto alexnet_data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F16, DataType::F32 }); -const auto lenet_data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); +const auto alexnet_data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F16, DataType::F32 }); +const auto lenet_data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); +const auto squeezenet_data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); #else /* ARM_COMPUTE_ENABLE_FP16 */ -const auto alexnet_data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F32 }); -const auto lenet_data_types = framework::dataset::make("DataType", { DataType::F32 }); +const auto alexnet_data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F32 }); +const auto lenet_data_types = framework::dataset::make("DataType", { DataType::F32 }); +const auto squeezenet_data_types = framework::dataset::make("DataType", { DataType::F32 }); #endif /* ARM_COMPUTE_ENABLE_FP16 */ } // namespace @@ -66,6 +69,10 @@ REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetConvolutionLayer, NEConvolutionLayerFix framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetConvolutionLayerDataset(), lenet_data_types), framework::dataset::make("Batches", { 1, 4, 8 }))); +REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, + framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), squeezenet_data_types), + framework::dataset::make("Batches", { 1, 4, 8 }))); + TEST_SUITE_END() } // namespace test } // namespace arm_compute diff --git a/tests/benchmark_new/NEON/PoolingLayer.cpp b/tests/benchmark_new/NEON/PoolingLayer.cpp index c9d598d4a9..099102441a 100644 --- a/tests/benchmark_new/NEON/PoolingLayer.cpp +++ b/tests/benchmark_new/NEON/PoolingLayer.cpp @@ -33,6 +33,7 @@ #include "tests/datasets_new/AlexNetPoolingLayerDataset.h" #include "tests/datasets_new/GoogLeNetPoolingLayerDataset.h" #include "tests/datasets_new/LeNet5PoolingLayerDataset.h" +#include "tests/datasets_new/SqueezeNetPoolingLayerDataset.h" #include "tests/fixtures_new/PoolingLayerFixture.h" namespace arm_compute @@ -42,11 +43,13 @@ namespace test namespace { #ifdef ARM_COMPUTE_ENABLE_FP16 -const auto alexnet_data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F16, DataType::F32 }); -const auto lenet_data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); +const auto alexnet_data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F16, DataType::F32 }); +const auto lenet_data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); +const auto squeezenet_data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); #else /* ARM_COMPUTE_ENABLE_FP16 */ -const auto alexnet_data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F32 }); -const auto lenet_data_types = framework::dataset::make("DataType", { DataType::F32 }); +const auto alexnet_data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F32 }); +const auto lenet_data_types = framework::dataset::make("DataType", { DataType::F32 }); +const auto squeezenet_data_types = framework::dataset::make("DataType", { DataType::F32 }); #endif /* ARM_COMPUTE_ENABLE_FP16 */ } // namespace @@ -63,6 +66,9 @@ REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, NEPoolingLayerFixture, frame REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetPoolingLayerDataset(), lenet_data_types), framework::dataset::make("Batches", { 1, 4, 8 }))); +REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL, + framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetPoolingLayerDataset(), squeezenet_data_types), framework::dataset::make("Batches", { 1, 4, 8 }))); + TEST_SUITE_END() } // namespace test } // namespace arm_compute diff --git a/tests/datasets_new/ActivationLayerDataset.h b/tests/datasets_new/ActivationLayerDataset.h index 02f58034d2..a6b882fde2 100644 --- a/tests/datasets_new/ActivationLayerDataset.h +++ b/tests/datasets_new/ActivationLayerDataset.h @@ -152,6 +152,41 @@ public: GoogLeNetActivationLayerDataset(GoogLeNetActivationLayerDataset &&) = default; ~GoogLeNetActivationLayerDataset() = default; }; + +class SqueezeNetActivationLayerDataset final : public + framework::dataset::CartesianProductDataset, framework::dataset::SingletonDataset> +{ +public: + SqueezeNetActivationLayerDataset() + : CartesianProductDataset + { + framework::dataset::make("Shape", { // relu_conv1 + TensorShape(111U, 111U, 64U), + // fire2/relu_squeeze1x1, fire3/relu_squeeze1x1 + TensorShape(55U, 55U, 16U), + // fire2/relu_expand1x1, fire2/relu_expand3x3, fire3/relu_expand1x1, fire3/relu_expand3x3 + TensorShape(55U, 55U, 64U), + // fire4/relu_squeeze1x1, fire5/relu_squeeze1x1 + TensorShape(27U, 27U, 32U), + // fire4/relu_expand1x1, fire4/relu_expand3x3, fire5/relu_expand1x1, fire5/relu_expand3x3 + TensorShape(27U, 27U, 128U), + // fire6/relu_squeeze1x1, fire7/relu_squeeze1x1 + TensorShape(13U, 13U, 48U), + // fire6/relu_expand1x1, fire6/relu_expand3x3, fire7/relu_expand1x1, fire7/relu_expand3x3 + TensorShape(13U, 13U, 192U), + // fire8/relu_squeeze1x1, fire9/relu_squeeze1x1 + TensorShape(13U, 13U, 64U), + // fire8/relu_expand1x1, fire8/relu_expand3x3, fire9/relu_expand1x1, fire9/relu_expand3x3 + TensorShape(13U, 13U, 256U), + // relu_conv10 + TensorShape(13U, 13U, 1000U) }), + framework::dataset::make("Info", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)) + } + { + } + SqueezeNetActivationLayerDataset(SqueezeNetActivationLayerDataset &&) = default; + ~SqueezeNetActivationLayerDataset() = default; +}; } // namespace datasets } // namespace test } // namespace arm_compute diff --git a/tests/datasets_new/SqueezeNetConvolutionLayerDataset.h b/tests/datasets_new/SqueezeNetConvolutionLayerDataset.h new file mode 100644 index 0000000000..07ec6c9eaf --- /dev/null +++ b/tests/datasets_new/SqueezeNetConvolutionLayerDataset.h @@ -0,0 +1,86 @@ +/* + * 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_SQUEEZENET_CONVOLUTION_LAYER_DATASET +#define ARM_COMPUTE_TEST_SQUEEZENET_CONVOLUTION_LAYER_DATASET + +#include "tests/datasets_new/ConvolutionLayerDataset.h" + +#include "tests/TypePrinter.h" + +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.h" + +namespace arm_compute +{ +namespace test +{ +namespace datasets +{ +class SqueezeNetConvolutionLayerDataset final : public ConvolutionLayerDataset +{ +public: + SqueezeNetConvolutionLayerDataset() + { + // conv1 + add_config(TensorShape(224U, 224U, 3U), TensorShape(3U, 3U, 3U, 64U), TensorShape(64U), TensorShape(111U, 111U, 64U), PadStrideInfo(2, 2, 0, 0)); + // fire2/squeeze1x1 + add_config(TensorShape(55U, 55U, 64U), TensorShape(1U, 1U, 64U, 16U), TensorShape(16U), TensorShape(55U, 55U, 16U), PadStrideInfo(1, 1, 0, 0)); + // fire2/expand1x1, fire3/expand1x1 + add_config(TensorShape(55U, 55U, 16U), TensorShape(1U, 1U, 16U, 64U), TensorShape(64U), TensorShape(55U, 55U, 64U), PadStrideInfo(1, 1, 0, 0)); + // fire2/expand3x3, fire3/expand3x3 + add_config(TensorShape(55U, 55U, 16U), TensorShape(3U, 3U, 16U, 64U), TensorShape(64U), TensorShape(55U, 55U, 64U), PadStrideInfo(1, 1, 1, 1)); + // fire3/squeeze1x1 + add_config(TensorShape(55U, 55U, 128U), TensorShape(1U, 1U, 128U, 16U), TensorShape(16U), TensorShape(55U, 55U, 16U), PadStrideInfo(1, 1, 0, 0)); + // fire4/squeeze1x1 + add_config(TensorShape(27U, 27U, 128U), TensorShape(1U, 1U, 128U, 32U), TensorShape(32U), TensorShape(27U, 27U, 32U), PadStrideInfo(1, 1, 0, 0)); + // fire4/expand1x1, fire5/expand1x1 + add_config(TensorShape(27U, 27U, 32U), TensorShape(1U, 1U, 32U, 128U), TensorShape(128U), TensorShape(27U, 27U, 128U), PadStrideInfo(1, 1, 0, 0)); + // fire4/expand3x3, fire5/expand3x3 + add_config(TensorShape(27U, 27U, 32U), TensorShape(3U, 3U, 32U, 128U), TensorShape(128U), TensorShape(27U, 27U, 128U), PadStrideInfo(1, 1, 1, 1)); + // fire5/squeeze1x1 + add_config(TensorShape(27U, 27U, 256U), TensorShape(1U, 1U, 256U, 32U), TensorShape(32U), TensorShape(27U, 27U, 32U), PadStrideInfo(1, 1, 0, 0)); + // fire6/squeeze1x1 + add_config(TensorShape(13U, 13U, 256U), TensorShape(1U, 1U, 256U, 48U), TensorShape(48U), TensorShape(13U, 13U, 48U), PadStrideInfo(1, 1, 0, 0)); + // fire6/expand1x1, fire7/expand1x1 + add_config(TensorShape(13U, 13U, 48U), TensorShape(1U, 1U, 48U, 192U), TensorShape(192U), TensorShape(13U, 13U, 192U), PadStrideInfo(1, 1, 0, 0)); + // fire6/expand3x3, fire7/expand3x3 + add_config(TensorShape(13U, 13U, 48U), TensorShape(3U, 3U, 48U, 192U), TensorShape(192U), TensorShape(13U, 13U, 192U), PadStrideInfo(1, 1, 1, 1)); + // fire7/squeeze1x1 + add_config(TensorShape(13U, 13U, 384U), TensorShape(1U, 1U, 384U, 48U), TensorShape(48U), TensorShape(13U, 13U, 48U), PadStrideInfo(1, 1, 0, 0)); + // fire8/squeeze1x1 + add_config(TensorShape(13U, 13U, 384U), TensorShape(1U, 1U, 384U, 64U), TensorShape(64U), TensorShape(13U, 13U, 64U), PadStrideInfo(1, 1, 0, 0)); + // fire8/expand1x1, fire9/expand1x1 + add_config(TensorShape(13U, 13U, 64U), TensorShape(1U, 1U, 64U, 256U), TensorShape(256U), TensorShape(13U, 13U, 256U), PadStrideInfo(1, 1, 0, 0)); + // fire8/expand3x3, fire9/expand3x3 + add_config(TensorShape(13U, 13U, 64U), TensorShape(3U, 3U, 64U, 256U), TensorShape(256U), TensorShape(13U, 13U, 256U), PadStrideInfo(1, 1, 1, 1)); + // fire9/squeeze1x1 + add_config(TensorShape(13U, 13U, 512U), TensorShape(1U, 1U, 512U, 64U), TensorShape(64U), TensorShape(13U, 13U, 64U), PadStrideInfo(1, 1, 0, 0)); + // conv10 + add_config(TensorShape(13U, 13U, 512U), TensorShape(1U, 1U, 512U, 1000U), TensorShape(1000U), TensorShape(13U, 13U, 1000U), PadStrideInfo(1, 1, 0, 0)); + } +}; +} // namespace datasets +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_SQUEEZENET_CONVOLUTION_LAYER_DATASET */ diff --git a/tests/datasets_new/SqueezeNetPoolingLayerDataset.h b/tests/datasets_new/SqueezeNetPoolingLayerDataset.h new file mode 100644 index 0000000000..dc443c8a03 --- /dev/null +++ b/tests/datasets_new/SqueezeNetPoolingLayerDataset.h @@ -0,0 +1,57 @@ +/* + * 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_SQUEEZENET_POOLING_LAYER_DATASET +#define ARM_COMPUTE_TEST_SQUEEZENET_POOLING_LAYER_DATASET + +#include "tests/datasets_new/PoolingLayerDataset.h" + +#include "tests/TypePrinter.h" + +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.h" + +namespace arm_compute +{ +namespace test +{ +namespace datasets +{ +class SqueezeNetPoolingLayerDataset final : public PoolingLayerDataset +{ +public: + SqueezeNetPoolingLayerDataset() + { + // pool1 + add_config(TensorShape(111U, 111U, 64U), TensorShape(55U, 55U, 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))); + // pool5 + add_config(TensorShape(27U, 27U, 256U), TensorShape(13U, 13U, 256U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))); + //FIXME: Add support for global pooling. + } +}; +} // namespace datasets +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_SQUEEZENET_POOLING_LAYER_DATASET */ -- cgit v1.2.1