/// Nothing to implement
public void InitializeCoreBrain()
{
if ((brain.gameObject.transform.parent.gameObject.GetComponent <Academy>().communicator == null) ||
(!broadcast))
{
coord = null;
}
else if (brain.gameObject.transform.parent.gameObject.GetComponent <Academy>().communicator is ExternalCommunicator)
{
coord = (ExternalCommunicator)brain.gameObject.transform.parent.gameObject.GetComponent <Academy>().communicator;
coord.SubscribeBrain(brain);
}
}
/// Nothing to implement
public void InitializeCoreBrain(Communicator communicator)
{
if ((communicator == null) ||
(!broadcast))
{
coord = null;
}
else if (communicator is ExternalCommunicator)
{
coord = (ExternalCommunicator)communicator;
coord.SubscribeBrain(brain);
}
}
/// Create the reference to decision
public void InitializeCoreBrain(Communicator communicator)
{
decision = brain.gameObject.GetComponent <Decision>();
if ((communicator == null) ||
(!broadcast))
{
coord = null;
}
else if (communicator is ExternalCommunicator)
{
coord = (ExternalCommunicator)communicator;
coord.SubscribeBrain(brain);
}
}
/// Generates the communicator for the Academy if none was present and
/// subscribe to ExternalCommunicator if it was present.
public void InitializeCoreBrain()
{
if (brain.gameObject.transform.parent.gameObject.GetComponent <Academy>().communicator == null)
{
coord = null;
throw new UnityAgentsException(string.Format("The brain {0} was set to" +
" External mode" +
" but Unity was unable to read the" +
" arguments passed at launch.", brain.gameObject.name));
}
else if (brain.gameObject.transform.parent.gameObject.GetComponent <Academy>().communicator is ExternalCommunicator)
{
coord = (ExternalCommunicator)brain.gameObject.transform.parent.gameObject.GetComponent <Academy>().communicator;
coord.SubscribeBrain(brain);
}
}
/// Loads the tensorflow graph model to generate a TFGraph object
public void InitializeCoreBrain()
{
#if ENABLE_TENSORFLOW
#if UNITY_ANDROID
// This needs to ba called only once and will raise an exception if
// there are multiple internal brains
try{
TensorFlowSharp.Android.NativeBinding.Init();
}
catch {
}
#endif
if ((brain.gameObject.transform.parent.gameObject.GetComponent <Academy>().communicator == null) ||
(!broadcast))
{
coord = null;
}
else if (brain.gameObject.transform.parent.gameObject.GetComponent <Academy>().communicator is ExternalCommunicator)
{
coord = (ExternalCommunicator)brain.gameObject.transform.parent.gameObject.GetComponent <Academy>().communicator;
coord.SubscribeBrain(brain);
}
if (graphModel != null)
{
graph = new TFGraph();
graph.Import(graphModel.bytes);
session = new TFSession(graph);
if (graph[graphScope + BatchSizePlaceholderName] != null)
{
hasBatchSize = true;
}
if ((graph[graphScope + RecurrentInPlaceholderName] != null) && (graph[graphScope + RecurrentOutPlaceholderName] != null))
{
hasRecurrent = true;
}
if (graph[graphScope + StatePlacholderName] != null)
{
hasState = true;
}
}
#endif
}
/// Generates the communicator for the Academy if none was present and
/// subscribe to ExternalCommunicator if it was present.
public void InitializeCoreBrain()
{
if (brain.gameObject.transform.parent.gameObject.GetComponent <Academy>().communicator == null)
{
coord = new ExternalCommunicator(brain.gameObject.transform.parent.gameObject.GetComponent <Academy>());
brain.gameObject.transform.parent.gameObject.GetComponent <Academy>().communicator = coord;
coord.SubscribeBrain(brain);
}
else
{
if (brain.gameObject.transform.parent.gameObject.GetComponent <Academy>().communicator is ExternalCommunicator)
{
coord = (ExternalCommunicator)brain.gameObject.transform.parent.gameObject.GetComponent <Academy>().communicator;
coord.SubscribeBrain(brain);
}
}
}
/// Loads the tensorflow graph model to generate a TFGraph object
public void InitializeCoreBrain(Communicator communicator)
{
#if ENABLE_TENSORFLOW
#if UNITY_ANDROID
// This needs to ba called only once and will raise an exception if
// there are multiple internal brains
try{
TensorFlowSharp.Android.NativeBinding.Init();
}
catch {
}
#endif
if ((communicator == null) ||
(!broadcast))
{
coord = null;
}
else if (communicator is ExternalCommunicator)
{
coord = (ExternalCommunicator)communicator;
coord.SubscribeBrain(brain);
}
if (graphModel != null)
{
graph = new TFGraph();
graph.Import(graphModel.bytes);
session = new TFSession(graph);
// TODO: Make this a loop over a dynamic set of graph inputs
if ((graphScope.Length > 1) && (graphScope[graphScope.Length - 1] != '/'))
{
graphScope = graphScope + '/';
}
if (graph[graphScope + BatchSizePlaceholderName] != null)
{
hasBatchSize = true;
}
if ((graph[graphScope + RecurrentInPlaceholderName] != null) && (graph[graphScope + RecurrentOutPlaceholderName] != null))
{
hasRecurrent = true;
var runner = session.GetRunner();
runner.Fetch(graph[graphScope + "memory_size"][0]);
var networkOutput = runner.Run()[0].GetValue();
memorySize = (int)networkOutput;
}
if (graph[graphScope + VectorObservationPlacholderName] != null)
{
hasState = true;
}
if (graph[graphScope + PreviousActionPlaceholderName] != null)
{
hasPrevAction = true;
}
}
observationMatrixList = new List <float[, , , ]>();
texturesHolder = new List <Texture2D>();
#endif
}
