visualizermodel.cpp 4.9 KB

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  1. /*
  2. * MIT License
  3. *
  4. * Copyright (c) 2019 Alexey Edelev <semlanik@gmail.com>
  5. *
  6. * This file is part of NeuralNetwork project https://git.semlanik.org/semlanik/NeuralNetwork
  7. *
  8. * Permission is hereby granted, free of charge, to any person obtaining a copy of this
  9. * software and associated documentation files (the "Software"), to deal in the Software
  10. * without restriction, including without limitation the rights to use, copy, modify,
  11. * merge, publish, distribute, sublicense, and/or sell copies of the Software, and
  12. * to permit persons to whom the Software is furnished to do so, subject to the following
  13. * conditions:
  14. *
  15. * The above copyright notice and this permission notice shall be included in all copies
  16. * or substantial portions of the Software.
  17. *
  18. * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED,
  19. * INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR
  20. * PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE
  21. * FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
  22. * OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
  23. * DEALINGS IN THE SOFTWARE.
  24. */
  25. #include "visualizermodel.h"
  26. #include <QDebug>
  27. #include <qgrpcasyncreply.h>
  28. #include <QQmlEngine>
  29. #include "remotecontrol.pb.h"
  30. using namespace remotecontrol;
  31. using namespace QtProtobuf;
  32. VisualizerModel::VisualizerModel(std::shared_ptr<RemoteControlClient> &client, QObject *parent) : QObject(parent)
  33. , m_client(client)
  34. , m_networkState(new NetworkState{NetworkState::None})
  35. {
  36. m_client->getConfiguration({}, this, [this](QGrpcAsyncReply *reply) {
  37. qDeleteAll(m_layers);
  38. m_networkConfig = reply->read<Configuration>();
  39. for(int i = 0; i < m_networkConfig.sizes().size(); i++) {
  40. m_layers.append(new NetworkLayerState);
  41. auto layerState = m_layers.last();
  42. auto currenSize = m_networkConfig.sizes()[i];
  43. auto &activations = layerState->m_activations;
  44. auto &weights = layerState->m_weights;
  45. activations.setDimentions(currenSize, 1);
  46. QList<ValueIndicator*> data;
  47. for (int k = 0; k < currenSize; k++) {
  48. data.append(new ValueIndicator(&activations));
  49. }
  50. activations.setData(data);
  51. if (i != 0) {
  52. auto previousSize = m_networkConfig.sizes()[i - 1];
  53. int tolalItems = currenSize * previousSize;
  54. weights.setDimentions(currenSize,previousSize);
  55. data.clear();
  56. for (int k = 0; k < tolalItems; k++) {
  57. data.append(new ValueIndicator(&weights));
  58. }
  59. weights.setData(data);
  60. }
  61. }
  62. sizesChanged();
  63. });
  64. QObject::connect(client.get(), &remotecontrol::RemoteControlClient::ActivationsUpdated, [this](const remotecontrol::LayerMatrix &activations) {
  65. if (m_layers.isEmpty()) {
  66. return;
  67. }
  68. auto layer = m_layers[activations.layer()];
  69. layer->m_activations.updateValues(Dense(activations.matrix().matrix()));
  70. layer->m_actiovationTrigger.updateLayer();
  71. });
  72. QObject::connect(client.get(), &remotecontrol::RemoteControlClient::WeightsUpdated, [this](const remotecontrol::LayerMatrix &weights) {
  73. if (m_layers.isEmpty()) {
  74. return;
  75. }
  76. auto layer = m_layers[weights.layer()];
  77. layer->m_weights.updateValues(Dense(weights.matrix().matrix()));
  78. layer->m_weightTrigger.updateLayer();
  79. });
  80. QObject::connect(client.get(), &remotecontrol::RemoteControlClient::StateUpdated, [this](const remotecontrol::NetworkState &state) {
  81. m_networkState->setState(state.state());
  82. });
  83. client->subscribeActivationsUpdates({});
  84. client->subscribeWeightsUpdates({});
  85. client->subscribeStateUpdates({});
  86. }
  87. ValueIndicator *VisualizerModel::activation(int layer, int row)
  88. {
  89. ValueIndicator* indicator = m_layers[layer]->m_activations.value<ValueIndicator*>(row, 0);
  90. QQmlEngine::setObjectOwnership(indicator, QQmlEngine::CppOwnership);
  91. return indicator;
  92. }
  93. ValueIndicator *VisualizerModel::weight(int layer, int row, int column)
  94. {
  95. ValueIndicator* indicator = m_layers[layer]->m_weights.value<ValueIndicator*>(row, column);
  96. QQmlEngine::setObjectOwnership(indicator, QQmlEngine::CppOwnership);
  97. return indicator;
  98. }
  99. LayerTrigger *VisualizerModel::activationTrigger(int layer)
  100. {
  101. LayerTrigger* trigger = &m_layers[layer]->m_actiovationTrigger;
  102. QQmlEngine::setObjectOwnership(trigger, QQmlEngine::CppOwnership);
  103. return trigger;
  104. }
  105. LayerTrigger *VisualizerModel::weightTrigger(int layer)
  106. {
  107. LayerTrigger* trigger = &m_layers[layer]->m_weightTrigger;
  108. QQmlEngine::setObjectOwnership(trigger, QQmlEngine::CppOwnership);
  109. return trigger;
  110. }
  111. void VisualizerModel::start()
  112. {
  113. m_client->dummyStart({});
  114. }