| /* |
| * 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/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/CL/CLAccessor.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 CLLeNet5Model = networks::LeNet5Network<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.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" |
| }; |
| CLLeNet5Model 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(CL) |
| 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 |