/// <inheritdoc />
protected override void DecideAction()
{
if (_isControlled)
{
agentInfos.Clear();
return;
}
var currentBatchSize = agentInfos.Count();
if (currentBatchSize == 0)
{
return;
}
#if ENABLE_TENSORFLOW
if (_engine == null)
{
Debug.LogError($"No model was present for the Brain {name}.");
return;
}
// Prepare the input tensors to be feed into the engine
_tensorGenerator.GenerateTensors(_inferenceInputs, currentBatchSize, agentInfos);
// Prepare the output tensors to be feed into the engine
_tensorGenerator.GenerateTensors(_inferenceOutputs, currentBatchSize, agentInfos);
// Execute the Model
Profiler.BeginSample($"MLAgents.{name}.ExecuteGraph");
_engine.ExecuteGraph(_inferenceInputs, _inferenceOutputs);
Profiler.EndSample();
// Update the outputs
_tensorApplier.ApplyTensors(_inferenceOutputs, agentInfos);
#else
if (agentInfos.Count > 0)
{
Debug.LogError(string.Format(
"The brain {0} was set to inference mode but the Tensorflow library is not " +
"present in the Unity project.",
name));
}
#endif
agentInfos.Clear();
}
/// <inheritdoc />
protected override void DecideAction()
{
if (m_IsControlled)
{
m_AgentInfos.Clear();
return;
}
var currentBatchSize = m_AgentInfos.Count();
if (currentBatchSize == 0)
{
return;
}
Profiler.BeginSample("LearningBrain.DecideAction");
if (m_Engine == null)
{
Debug.LogError($"No model was present for the Brain {name}.");
return;
}
Profiler.BeginSample($"MLAgents.{name}.GenerateTensors");
// Prepare the input tensors to be feed into the engine
m_TensorGenerator.GenerateTensors(m_InferenceInputs, currentBatchSize, m_AgentInfos);
Profiler.EndSample();
Profiler.BeginSample($"MLAgents.{name}.PrepareBarracudaInputs");
var inputs = PrepareBarracudaInputs(m_InferenceInputs);
Profiler.EndSample();
// Execute the Model
Profiler.BeginSample($"MLAgents.{name}.ExecuteGraph");
m_Engine.Execute(inputs);
Profiler.EndSample();
Profiler.BeginSample($"MLAgents.{name}.FetchBarracudaOutputs");
m_InferenceOutputs = FetchBarracudaOutputs(m_OutputNames);
Profiler.EndSample();
Profiler.BeginSample($"MLAgents.{name}.ApplyTensors");
// Update the outputs
m_TensorApplier.ApplyTensors(m_InferenceOutputs, m_AgentInfos);
Profiler.EndSample();
m_AgentInfos.Clear();
Profiler.EndSample();
}
/// <inheritdoc />
protected override void DecideAction()
{
// 如果是，受控制的
// 不会进行推断
// 基类中，会传给Batcher，并会传给Tensorflow
if (_isControlled)
{
agentInfos.Clear();
return;
}
var currentBatchSize = agentInfos.Count();
if (currentBatchSize == 0)
{
return;
}
Profiler.BeginSample("LearningBrain.DecideAction");
#if ENABLE_TENSORFLOW
if (_engine == null)
{
Debug.LogError($"No model was present for the Brain {name}.");
return;
}
// Prepare the input tensors to be feed into the engine
_tensorGenerator.GenerateTensors(_inferenceInputs, currentBatchSize, agentInfos);
// Prepare the output tensors to be feed into the engine
_tensorGenerator.GenerateTensors(_inferenceOutputs, currentBatchSize, agentInfos);
// Execute the Model
Profiler.BeginSample($"MLAgents.{name}.ExecuteGraph");
_engine.ExecuteGraph(_inferenceInputs, _inferenceOutputs);
Profiler.EndSample();
// Update the outputs
_tensorApplier.ApplyTensors(_inferenceOutputs, agentInfos);
#else
// Q: 这个$符号是？
if (_engine == null)
{
Debug.LogError($"No model was present for the Brain {name}.");
return;
}
Profiler.BeginSample($"MLAgents.{name}.GenerateTensors");
// Prepare the input tensors to be feed into the engine
_tensorGenerator.GenerateTensors(_inferenceInputs, currentBatchSize, agentInfos);
Profiler.EndSample();
Profiler.BeginSample($"MLAgents.{name}.PrepareBarracudaInputs");
var inputs = PrepareBarracudaInputs(_inferenceInputs);
Profiler.EndSample();
// Execute the Model
Profiler.BeginSample($"MLAgents.{name}.ExecuteGraph");
_engine.Execute(inputs);
Profiler.EndSample();
Profiler.BeginSample($"MLAgents.{name}.FetchBarracudaOutputs");
_inferenceOutputs = FetchBarracudaOutputs(_outputNames);
Profiler.EndSample();
Profiler.BeginSample($"MLAgents.{name}.ApplyTensors");
// Update the outputs
_tensorApplier.ApplyTensors(_inferenceOutputs, agentInfos);
Profiler.EndSample();
#endif
agentInfos.Clear();
Profiler.EndSample();
}