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author | Anthony Barbier <anthony.barbier@arm.com> | 2017-09-04 18:44:23 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-09-17 13:03:09 +0100 |
commit | 6ff3b19ee6120edf015fad8caab2991faa3070af (patch) | |
tree | a7a6dcd16dfd56d79fa1b56a313caeebcc939b68 /tests/validation/system_tests/CL | |
download | ComputeLibrary-6ff3b19ee6120edf015fad8caab2991faa3070af.tar.gz |
COMPMID-344 Updated doxygen
Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae
Diffstat (limited to 'tests/validation/system_tests/CL')
-rw-r--r-- | tests/validation/system_tests/CL/AlexNet.cpp | 111 | ||||
-rw-r--r-- | tests/validation/system_tests/CL/LeNet5.cpp | 94 |
2 files changed, 205 insertions, 0 deletions
diff --git a/tests/validation/system_tests/CL/AlexNet.cpp b/tests/validation/system_tests/CL/AlexNet.cpp new file mode 100644 index 0000000000..f7a88207c4 --- /dev/null +++ b/tests/validation/system_tests/CL/AlexNet.cpp @@ -0,0 +1,111 @@ +#ifdef INTERNAL_ONLY //FIXME Delete this file before the release +/* + * 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. + */ +#include "CL/CLAccessor.h" +#include "CL/Helper.h" +#include "validation/Validation.h" + +#include "arm_compute/runtime/CL/CLSubTensor.h" +#include "arm_compute/runtime/CL/functions/CLActivationLayer.h" +#include "arm_compute/runtime/CL/functions/CLConvolutionLayer.h" +#include "arm_compute/runtime/CL/functions/CLFullyConnectedLayer.h" +#include "arm_compute/runtime/CL/functions/CLNormalizationLayer.h" +#include "arm_compute/runtime/CL/functions/CLPoolingLayer.h" +#include "arm_compute/runtime/CL/functions/CLSoftmaxLayer.h" + +#include "model_objects/AlexNet.h" + +#include <array> + +using namespace arm_compute; +using namespace arm_compute::test; +using namespace arm_compute::test::cl; +using namespace arm_compute::test::validation; + +namespace +{ +using CLAlexNetModel = model_objects::AlexNet<ICLTensor, + CLTensor, + CLSubTensor, + CLAccessor, + CLActivationLayer, + CLConvolutionLayer, + CLFullyConnectedLayer, + CLNormalizationLayer, + CLPoolingLayer, + CLSoftmaxLayer>; +std::vector<unsigned int> compute_alexnet(unsigned int batches, std::string input_file) +{ + std::vector<std::string> weight_files = { "cnn_data/alexnet_model/conv1_w.dat", + "cnn_data/alexnet_model/conv2_w.dat", + "cnn_data/alexnet_model/conv3_w.dat", + "cnn_data/alexnet_model/conv4_w.dat", + "cnn_data/alexnet_model/conv5_w.dat", + "cnn_data/alexnet_model/fc6_w.dat", + "cnn_data/alexnet_model/fc7_w.dat", + "cnn_data/alexnet_model/fc8_w.dat" + }; + + std::vector<std::string> bias_files = { "cnn_data/alexnet_model/conv1_b.dat", + "cnn_data/alexnet_model/conv2_b.dat", + "cnn_data/alexnet_model/conv3_b.dat", + "cnn_data/alexnet_model/conv4_b.dat", + "cnn_data/alexnet_model/conv5_b.dat", + "cnn_data/alexnet_model/fc6_b.dat", + "cnn_data/alexnet_model/fc7_b.dat", + "cnn_data/alexnet_model/fc8_b.dat" + }; + CLAlexNetModel network{}; + network.init_weights(batches); + network.build(); + network.allocate(); + network.fill(weight_files, bias_files); + network.feed(std::move(input_file)); + network.run(); + + return network.get_classifications(); +} +} // namespace + +#ifndef DOXYGEN_SKIP_THIS +BOOST_AUTO_TEST_SUITE(SYSTEM_TESTS) +BOOST_AUTO_TEST_SUITE(CL) + +BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) +BOOST_AUTO_TEST_CASE(AlexNet) +{ + // Compute alexnet + std::vector<unsigned int> classified_labels = compute_alexnet(1, "cnn_data/imagenet_data/shark.dat"); + + // Expected labels + std::vector<unsigned int> expected_labels = { 2 }; + + // Validate labels + validate(classified_labels, expected_labels); +} + +BOOST_AUTO_TEST_SUITE_END() +BOOST_AUTO_TEST_SUITE_END() +#endif +#endif /* INTERNAL_ONLY */ diff --git a/tests/validation/system_tests/CL/LeNet5.cpp b/tests/validation/system_tests/CL/LeNet5.cpp new file mode 100644 index 0000000000..8b83cfa3a6 --- /dev/null +++ b/tests/validation/system_tests/CL/LeNet5.cpp @@ -0,0 +1,94 @@ +#ifdef INTERNAL_ONLY //FIXME Delete this file before the release +/* + * 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. + */ +#include "CL/CLAccessor.h" +#include "CL/Helper.h" +#include "validation/Validation.h" + +#include "arm_compute/runtime/CL/functions/CLActivationLayer.h" +#include "arm_compute/runtime/CL/functions/CLConvolutionLayer.h" +#include "arm_compute/runtime/CL/functions/CLFullyConnectedLayer.h" +#include "arm_compute/runtime/CL/functions/CLPoolingLayer.h" +#include "arm_compute/runtime/CL/functions/CLSoftmaxLayer.h" + +#include "model_objects/LeNet5.h" + +using namespace arm_compute; +using namespace arm_compute::test; +using namespace arm_compute::test::cl; +using namespace arm_compute::test::validation; + +namespace +{ +using CLLeNet5Model = model_objects::LeNet5<CLTensor, + CLAccessor, + CLActivationLayer, + CLConvolutionLayer, + CLFullyConnectedLayer, + CLPoolingLayer, + CLSoftmaxLayer>; +std::vector<unsigned int> compute_lenet5(unsigned int batches, std::string input_file) +{ + std::vector<std::string> weight_files = { "cnn_data/lenet_model/conv1_w.dat", + "cnn_data/lenet_model/conv2_w.dat", + "cnn_data/lenet_model/ip1_w.dat", + "cnn_data/lenet_model/ip2_w.dat" + }; + + std::vector<std::string> bias_files = { "cnn_data/lenet_model/conv1_b.dat", + "cnn_data/lenet_model/conv2_b.dat", + "cnn_data/lenet_model/ip1_b.dat", + "cnn_data/lenet_model/ip2_b.dat" + }; + CLLeNet5Model network{}; + network.build(batches); + network.fill(weight_files, bias_files); + network.feed(std::move(input_file)); + network.run(); + + return network.get_classifications(); +} +} // namespace + +#ifndef DOXYGEN_SKIP_THIS +BOOST_AUTO_TEST_SUITE(SYSTEM_TESTS) +BOOST_AUTO_TEST_SUITE(CL) + +BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) +BOOST_AUTO_TEST_CASE(LeNet5) +{ + // Compute alexnet + std::vector<unsigned int> classified_labels = compute_lenet5(10, "cnn_data/mnist_data/input100.dat"); + + // Expected labels + std::vector<unsigned int> expected_labels = { 7, 2, 1, 0, 4, 1, 4, 9, 5, 9 }; + + // Validate labels + validate(classified_labels, expected_labels); +} + +BOOST_AUTO_TEST_SUITE_END() +BOOST_AUTO_TEST_SUITE_END() +#endif +#endif /* INTERNAL_ONLY */ |