/* * MIT License * * Copyright (c) 2019 Alexey Edelev * * This file is part of NeuralNetwork project https://git.semlanik.org/semlanik/NeuralNetwork * * 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 "visualizermodel.h" #include #include #include "dense.h" using namespace remotecontrol; using namespace QtProtobuf; VisualizerModel::VisualizerModel(std::shared_ptr &client, QObject *parent) : QObject(parent) , m_client(client) { m_client->getConfiguration({}, this, [this](QGrpcAsyncReply *reply) { m_networkConfig = reply->read(); sizesChanged(); }); QObject::connect(client.get(), &remotecontrol::RemoteControlClient::ActivationsUpdated, [](const remotecontrol::LayerMatrix &activations) { Dense dense(activations.matrix().matrix()); qDebug() << "ActivationsUpdated:" << dense.rows() << dense.columns(); }); QObject::connect(client.get(), &remotecontrol::RemoteControlClient::BiasesUpdated, [](const remotecontrol::LayerMatrix &biases) { Dense dense(biases.matrix().matrix()); qDebug() << "BiasesUpdated:" << dense.rows() << dense.columns(); }); QObject::connect(client.get(), &remotecontrol::RemoteControlClient::WeightsUpdated, [](const remotecontrol::LayerMatrix &weights) { Dense dense(weights.matrix().matrix()); qDebug() << "WeightsUpdated:" << dense.rows() << dense.columns(); }); client->subscribeActivationsUpdates({}); client->subscribeBiasesUpdates({}); client->subscribeWeightsUpdates({}); }