public void Construction()
{
var alloc = new TensorCachingAllocator();
var mem = new Dictionary <int, List <float> >();
var tensorGenerator = new TensorGenerator(0, alloc, mem);
Assert.IsNotNull(tensorGenerator);
alloc.Dispose();
}
/// <summary>
/// Initializes the Brain with the Model that it will use when selecting actions for
/// the agents
/// </summary>
/// <param name="seed"> The seed that will be used to initialize the RandomNormal
/// and Multinomial obsjects used when running inference.</param>
/// <exception cref="UnityAgentsException">Throws an error when the model is null
/// </exception>
public void ReloadModel(int seed = 0)
{
if (_tensorAllocator == null)
{
_tensorAllocator = new TensorCachingAllocator();
}
#if ENABLE_TENSORFLOW
if (model != null)
{
_engine = new TFSharpInferenceEngine();
_engine.PrepareModel(model.bytes);
}
else
{
_engine = null;
}
_modelParamLoader = ModelParamLoader.GetLoaderAndCheck(_engine, brainParameters);
_inferenceInputs = _modelParamLoader.GetInputTensors();
_inferenceOutputs = _modelParamLoader.GetOutputTensors();
_tensorGenerator = new TensorGenerator(brainParameters, seed, _tensorAllocator);
_tensorApplier = new TensorApplier(brainParameters, seed, _tensorAllocator);
#else
if (model != null)
{
#if BARRACUDA_VERBOSE
_verbose = true;
#endif
D.logEnabled = _verbose;
// Cleanup previous instance
if (_engine != null)
{
_engine.Dispose();
}
_barracudaModel = ModelLoader.Load(model.Value);
var executionDevice = inferenceDevice == InferenceDevice.GPU
? BarracudaWorkerFactory.Type.ComputePrecompiled
: BarracudaWorkerFactory.Type.CSharp;
_engine = BarracudaWorkerFactory.CreateWorker(executionDevice, _barracudaModel, _verbose);
}
else
{
_barracudaModel = null;
_engine = null;
}
_modelParamLoader = BarracudaModelParamLoader.GetLoaderAndCheck(_engine, _barracudaModel, brainParameters);
_inferenceInputs = _modelParamLoader.GetInputTensors();
_outputNames = _modelParamLoader.GetOutputNames();
_tensorGenerator = new TensorGenerator(brainParameters, seed, _tensorAllocator, _barracudaModel);
_tensorApplier = new TensorApplier(brainParameters, seed, _tensorAllocator, _barracudaModel);
#endif
}
public void Contruction()
{
var bp = new BrainParameters();
var alloc = new TensorCachingAllocator();
var tensorGenerator = new TensorGenerator(bp, 0, alloc);
Assert.IsNotNull(tensorGenerator);
alloc.Dispose();
}
/// <summary>
/// Initializes the Brain with the Model that it will use when selecting actions for
/// the agents
/// </summary>
/// <param name="seed"> The seed that will be used to initialize the RandomNormal
/// and Multinomial obsjects used when running inference.</param>
/// <exception cref="UnityAgentsException">Throws an error when the model is null
/// </exception>
public void ReloadModel(int seed = 0)
{
#if ENABLE_TENSORFLOW
if (model != null)
{
_engine = new TFSharpInferenceEngine();
_engine.PrepareModel(model.bytes);
}
else
{
_engine = null;
}
_modelParamLoader = ModelParamLoader.GetLoaderAndCheck(_engine, brainParameters);
_inferenceInputs = _modelParamLoader.GetInputTensors();
_inferenceOutputs = _modelParamLoader.GetOutputTensors();
_tensorGenerator = new TensorGenerator(brainParameters, seed);
_tensorApplier = new TensorApplier(brainParameters, seed);
#endif
}
/// <summary>
/// Initializes the Brain with the Model that it will use when selecting actions for
/// the agents
/// </summary>
/// <param name="seed"> The seed that will be used to initialize the RandomNormal
/// and Multinomial obsjects used when running inference.</param>
/// <exception cref="UnityAgentsException">Throws an error when the model is null
/// </exception>
public void ReloadModel(int seed = 0)
{
if (m_TensorAllocator == null)
{
m_TensorAllocator = new TensorCachingAllocator();
}
if (model != null)
{
#if BARRACUDA_VERBOSE
_verbose = true;
#endif
D.logEnabled = m_Verbose;
// Cleanup previous instance
if (m_Engine != null)
{
m_Engine.Dispose();
}
m_BarracudaModel = ModelLoader.Load(model.Value);
var executionDevice = inferenceDevice == InferenceDevice.GPU
? BarracudaWorkerFactory.Type.ComputePrecompiled
: BarracudaWorkerFactory.Type.CSharp;
m_Engine = BarracudaWorkerFactory.CreateWorker(executionDevice, m_BarracudaModel, m_Verbose);
}
else
{
m_BarracudaModel = null;
m_Engine = null;
}
m_ModelParamLoader = BarracudaModelParamLoader.GetLoaderAndCheck(m_Engine, m_BarracudaModel, brainParameters);
m_InferenceInputs = m_ModelParamLoader.GetInputTensors();
m_OutputNames = m_ModelParamLoader.GetOutputNames();
m_TensorGenerator = new TensorGenerator(brainParameters, seed, m_TensorAllocator, m_BarracudaModel);
m_TensorApplier = new TensorApplier(brainParameters, seed, m_TensorAllocator, m_BarracudaModel);
}