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#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 "NEON/Helper.h"
#include "NEON/NEAccessor.h"
#include "validation/Validation.h"
#include "arm_compute/runtime/NEON/functions/NEActivationLayer.h"
#include "arm_compute/runtime/NEON/functions/NEConvolutionLayer.h"
#include "arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h"
#include "arm_compute/runtime/NEON/functions/NENormalizationLayer.h"
#include "arm_compute/runtime/NEON/functions/NEPoolingLayer.h"
#include "arm_compute/runtime/NEON/functions/NESoftmaxLayer.h"
#include "arm_compute/runtime/SubTensor.h"
#include "model_objects/AlexNet.h"
#include <array>
using namespace arm_compute;
using namespace arm_compute::test;
using namespace arm_compute::test::neon;
using namespace arm_compute::test::validation;
namespace
{
using NEAlexNetModel = model_objects::AlexNet<ITensor,
Tensor,
SubTensor,
NEAccessor,
NEActivationLayer,
NEConvolutionLayer,
NEFullyConnectedLayer,
NENormalizationLayer,
NEPoolingLayer,
NESoftmaxLayer>;
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"
};
NEAlexNetModel 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(NEON)
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 */
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