COMPMID-514 (3RDPARTY_UPDATE)(DATA_UPDATE) Add support to load .npy data

* Add tensorflow_data_extractor script.
* Incorporate 3rdparty npy reader libnpy.
* Port AlexNet system test to validation_new.
* Port LeNet5 system test to validation_new.
* Update 3rdparty/ and data/ submodules.

Change-Id: I156d060fe9185cd8db810b34bf524cbf5cb34f61
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/84914
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>

1 files changed, 0 insertions, 115 deletions

diff --git a/tests/validation_old/system_tests/CL/LeNet5.cpp b/tests/validation_old/system_tests/CL/LeNet5.cpp
deleted file mode 100644
index 0f34dd1ae7..0000000000
--- a/tests/validation_old/system_tests/CL/LeNet5.cpp
+++ /dev/null
@@ -1,115 +0,0 @@
-/*
- * 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.
- */
-#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 "tests/validation_old/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 "tests/validation_old/model_objects/LeNet5.h"
-
-using namespace arm_compute;
-using namespace arm_compute::test;
-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 /* DOXYGEN_SKIP_THIS */
-#endif /* INTERNAL_ONLY */