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using UnityEngine;
namespace Unity.MLAgents
{
public class UnityRLCapabilities
{
public bool BaseRLCapabilities;
public bool ConcatenatedPngObservations;
public bool CompressedChannelMapping;
public bool HybridActions;
public bool TrainingAnalytics;
public bool VariableLengthObservation;
public bool MultiAgentGroups;
/// <summary>
/// A class holding the capabilities flags for Reinforcement Learning across C# and the Trainer codebase. This
/// struct will be used to inform users if and when they are using C# / Trainer features that are mismatched.
/// </summary>
public UnityRLCapabilities(
bool baseRlCapabilities = true,
bool concatenatedPngObservations = true,
bool compressedChannelMapping = true,
bool hybridActions = true,
bool trainingAnalytics = true,
bool variableLengthObservation = true,
bool multiAgentGroups = true)
{
BaseRLCapabilities = baseRlCapabilities;
ConcatenatedPngObservations = concatenatedPngObservations;
CompressedChannelMapping = compressedChannelMapping;
HybridActions = hybridActions;
TrainingAnalytics = trainingAnalytics;
VariableLengthObservation = variableLengthObservation;
MultiAgentGroups = multiAgentGroups;
}
/// <summary>
/// Will print a warning to the console if Python does not support base capabilities and will
/// return <value>true</value> if the warning was printed.
/// </summary>
/// <returns></returns>
public bool WarnOnPythonMissingBaseRLCapabilities()
{
if (BaseRLCapabilities)
{
return false;
}
Debug.LogWarning("Unity has connected to a Training process that does not support" +
"Base Reinforcement Learning Capabilities. Please make sure you have the" +
" latest training codebase installed for this version of the ML-Agents package.");
return true;
}
}
}
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