COMPMID-1188: Remove graph system tests

Change-Id: I429087f8aa436cf0877c3abec8fd7201bec1b81c
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/141661
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>

2 files changed, 0 insertions, 210 deletions

diff --git a/tests/validation/NEON/SYSTEM/AlexNet.cpp b/tests/validation/NEON/SYSTEM/AlexNet.cpp
deleted file mode 100644
index adcfe72eaa..0000000000
--- a/tests/validation/NEON/SYSTEM/AlexNet.cpp
+++ /dev/null
@@ -1,113 +0,0 @@
-/*
- * Copyright (c) 2017-2018 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 "arm_compute/runtime/NEON/functions/NEActivationLayer.h"
-#include "arm_compute/runtime/NEON/functions/NEConvolutionLayer.h"
-#include "arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.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 "tests/NEON/Accessor.h"
-#include "tests/framework/Asserts.h"
-#include "tests/framework/Macros.h"
-#include "tests/networks/AlexNetNetwork.h"
-#include "tests/validation/Validation.h"
-
-#include <string>
-#include <vector>
-
-namespace arm_compute
-{
-namespace test
-{
-namespace validation
-{
-namespace
-{
-using NEAlexNetModel = networks::AlexNetNetwork<ITensor,
-      Tensor,
-      SubTensor,
-      Accessor,
-      NEActivationLayer,
-      NEConvolutionLayer,
-      NEDirectConvolutionLayer,
-      NEFullyConnectedLayer,
-      NENormalizationLayer,
-      NEPoolingLayer,
-      NESoftmaxLayer>;
-std::vector<unsigned int> compute_alexnet(DataType dt, unsigned int batches, std::string input_file)
-{
-    std::vector<std::string> weight_files = { "cnn_data/alexnet_model/conv1_w.npy",
-                                              "cnn_data/alexnet_model/conv2_w.npy",
-                                              "cnn_data/alexnet_model/conv3_w.npy",
-                                              "cnn_data/alexnet_model/conv4_w.npy",
-                                              "cnn_data/alexnet_model/conv5_w.npy",
-                                              "cnn_data/alexnet_model/fc6_w.npy",
-                                              "cnn_data/alexnet_model/fc7_w.npy",
-                                              "cnn_data/alexnet_model/fc8_w.npy"
-                                            };
-
-    std::vector<std::string> bias_files = { "cnn_data/alexnet_model/conv1_b.npy",
-                                            "cnn_data/alexnet_model/conv2_b.npy",
-                                            "cnn_data/alexnet_model/conv3_b.npy",
-                                            "cnn_data/alexnet_model/conv4_b.npy",
-                                            "cnn_data/alexnet_model/conv5_b.npy",
-                                            "cnn_data/alexnet_model/fc6_b.npy",
-                                            "cnn_data/alexnet_model/fc7_b.npy",
-                                            "cnn_data/alexnet_model/fc8_b.npy"
-                                          };
-    NEAlexNetModel network{};
-
-    network.init(dt, batches);
-    network.build();
-    network.allocate();
-    network.fill(weight_files, bias_files);
-    network.feed(std::move(input_file));
-    network.run();
-
-    return network.get_classifications();
-}
-} // namespace
-
-TEST_SUITE(NEON)
-TEST_SUITE(SYSTEM_TESTS)
-
-TEST_CASE(AlexNet, framework::DatasetMode::PRECOMMIT)
-{
-    // Compute alexnet
-    std::vector<unsigned int> classified_labels = compute_alexnet(DataType::F32, 1, "cnn_data/imagenet_data/cat.npy");
-
-    // Expected labels
-    std::vector<unsigned int> expected_labels = { 281 };
-
-    // Validate labels
-    validate(classified_labels, expected_labels);
-}
-
-TEST_SUITE_END()
-TEST_SUITE_END()
-} // namespace validation
-} // namespace test
-} // namespace arm_compute
diff --git a/tests/validation/NEON/SYSTEM/LeNet5.cpp b/tests/validation/NEON/SYSTEM/LeNet5.cpp
deleted file mode 100644
index 95a82a6643..0000000000
--- a/tests/validation/NEON/SYSTEM/LeNet5.cpp
+++ /dev/null
@@ -1,97 +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.
- */
-#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/NEPoolingLayer.h"
-#include "arm_compute/runtime/NEON/functions/NESoftmaxLayer.h"
-#include "tests/NEON/Accessor.h"
-#include "tests/framework/Asserts.h"
-#include "tests/framework/Macros.h"
-#include "tests/networks/LeNet5Network.h"
-#include "tests/validation/Validation.h"
-
-#include <string>
-#include <vector>
-
-namespace arm_compute
-{
-namespace test
-{
-namespace validation
-{
-namespace
-{
-using NELeNet5Model = networks::LeNet5Network<Tensor,
-      Accessor,
-      NEActivationLayer,
-      NEConvolutionLayer,
-      NEFullyConnectedLayer,
-      NEPoolingLayer,
-      NESoftmaxLayer>;
-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.npy",
-                                              "cnn_data/lenet_model/conv2_w.npy",
-                                              "cnn_data/lenet_model/ip1_w.npy",
-                                              "cnn_data/lenet_model/ip2_w.npy"
-                                            };
-
-    std::vector<std::string> bias_files = { "cnn_data/lenet_model/conv1_b.npy",
-                                            "cnn_data/lenet_model/conv2_b.npy",
-                                            "cnn_data/lenet_model/ip1_b.npy",
-                                            "cnn_data/lenet_model/ip2_b.npy"
-                                          };
-    NELeNet5Model network{};
-    network.init(batches);
-    network.build();
-    network.allocate();
-    network.fill(weight_files, bias_files);
-    network.feed(std::move(input_file));
-    network.run();
-
-    return network.get_classifications();
-}
-} // namespace
-
-TEST_SUITE(NEON)
-TEST_SUITE(SYSTEM_TESTS)
-
-TEST_CASE(LeNet5, framework::DatasetMode::PRECOMMIT)
-{
-    // Compute alexnet
-    std::vector<unsigned int> classified_labels = compute_lenet5(10, "cnn_data/mnist_data/input10.npy");
-
-    // 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);
-}
-
-TEST_SUITE_END()
-TEST_SUITE_END()
-} // namespace validation
-} // namespace test
-} // namespace arm_compute