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152 行
4.8 KiB
152 行
4.8 KiB
using System.IO;
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using Google.Protobuf;
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using System.Collections.Generic;
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using MLAgents.Sensors;
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using MLAgents.Policies;
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namespace MLAgents.Demonstrations
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{
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/// <summary>
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/// Responsible for writing demonstration data to stream (typically a file stream).
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/// </summary>
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public class DemonstrationWriter
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{
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/// <summary>
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/// Number of bytes reserved for the Demonstration metadata at the start of the demo file.
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/// </summary>
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internal const int MetaDataBytes = 32;
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DemonstrationMetaData m_MetaData;
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Stream m_Writer;
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float m_CumulativeReward;
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WriteAdapter m_WriteAdapter = new WriteAdapter();
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/// <summary>
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/// Create a DemonstrationWriter that will write to the specified stream.
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/// The stream must support writes and seeking.
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/// </summary>
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/// <param name="stream"></param>
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public DemonstrationWriter(Stream stream)
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{
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m_Writer = stream;
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}
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/// <summary>
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/// Writes the initial data to the stream.
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/// </summary>
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/// <param name="demonstrationName">Base name of the demonstration file(s).</param>
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/// <param name="brainName">The name of the Brain the agent is attached to.</param>
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/// <param name="brainParameters">The parameters of the Brain the agent is attached to.</param>
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internal void Initialize(
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string demonstrationName, BrainParameters brainParameters, string brainName)
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{
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if (m_Writer == null)
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{
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// Already closed
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return;
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}
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m_MetaData = new DemonstrationMetaData { demonstrationName = demonstrationName };
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var metaProto = m_MetaData.ToProto();
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metaProto.WriteDelimitedTo(m_Writer);
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WriteBrainParameters(brainName, brainParameters);
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}
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/// <summary>
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/// Writes meta-data. Note that this is called at the *end* of recording, but writes to the
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/// beginning of the file.
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/// </summary>
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void WriteMetadata()
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{
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if (m_Writer == null)
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{
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// Already closed
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return;
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}
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var metaProto = m_MetaData.ToProto();
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var metaProtoBytes = metaProto.ToByteArray();
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m_Writer.Write(metaProtoBytes, 0, metaProtoBytes.Length);
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m_Writer.Seek(0, 0);
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metaProto.WriteDelimitedTo(m_Writer);
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}
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/// <summary>
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/// Writes brain parameters to file.
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/// </summary>
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/// <param name="brainName">The name of the Brain the agent is attached to.</param>
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/// <param name="brainParameters">The parameters of the Brain the agent is attached to.</param>
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void WriteBrainParameters(string brainName, BrainParameters brainParameters)
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{
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if (m_Writer == null)
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{
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// Already closed
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return;
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}
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// Writes BrainParameters to file.
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m_Writer.Seek(MetaDataBytes + 1, 0);
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var brainProto = brainParameters.ToProto(brainName, false);
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brainProto.WriteDelimitedTo(m_Writer);
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}
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/// <summary>
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/// Write AgentInfo experience to file.
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/// </summary>
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/// <param name="info"> <see cref="AgentInfo"/> for the agent being recorded.</param>
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/// <param name="sensors">List of sensors to record for the agent.</param>
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internal void Record(AgentInfo info, List<ISensor> sensors)
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{
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if (m_Writer == null)
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{
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// Already closed
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return;
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}
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// Increment meta-data counters.
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m_MetaData.numberSteps++;
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m_CumulativeReward += info.reward;
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if (info.done)
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{
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EndEpisode();
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}
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// Generate observations and add AgentInfo to file.
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var agentProto = info.ToInfoActionPairProto();
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foreach (var sensor in sensors)
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{
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agentProto.AgentInfo.Observations.Add(sensor.GetObservationProto(m_WriteAdapter));
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}
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agentProto.WriteDelimitedTo(m_Writer);
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}
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/// <summary>
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/// Performs all clean-up necessary.
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/// </summary>
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public void Close()
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{
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if (m_Writer == null)
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{
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// Already closed
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return;
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}
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EndEpisode();
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m_MetaData.meanReward = m_CumulativeReward / m_MetaData.numberEpisodes;
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WriteMetadata();
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m_Writer.Close();
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m_Writer = null;
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}
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/// <summary>
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/// Performs necessary episode-completion steps.
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/// </summary>
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void EndEpisode()
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{
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m_MetaData.numberEpisodes += 1;
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}
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}
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}
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