1 files changed, 0 insertions, 112 deletions
diff --git a/tests/validation/CL/SYSTEM/AlexNet.cpp b/tests/validation/CL/SYSTEM/AlexNet.cpp
deleted file mode 100644
index 9be6f2cf53..0000000000
--- a/tests/validation/CL/SYSTEM/AlexNet.cpp
+++ /dev/null
@@ -1,112 +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/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/CLDirectConvolutionLayer.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 "tests/CL/CLAccessor.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 CLAlexNetModel = networks::AlexNetNetwork<ICLTensor,
-      CLTensor,
-      CLSubTensor,
-      CLAccessor,
-      CLActivationLayer,
-      CLConvolutionLayer,
-      CLDirectConvolutionLayer,
-      CLFullyConnectedLayer,
-      CLNormalizationLayer,
-      CLPoolingLayer,
-      CLSoftmaxLayer>;
-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"
-                                          };
-    CLAlexNetModel 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(CL)
-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