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143 行
4.6 KiB
143 行
4.6 KiB
namespace Unity.MLAgents.Sensors
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{
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/// <summary>
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/// The compression setting for visual/camera observations.
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/// </summary>
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public enum SensorCompressionType
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{
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/// <summary>
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/// No compression. Data is preserved as float arrays.
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/// </summary>
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None,
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/// <summary>
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/// PNG format. Data will be stored in binary format.
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/// </summary>
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PNG
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}
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/// <summary>
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/// The Dimension property flags of the observations
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/// </summary>
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[System.Flags]
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public enum DimensionProperty
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{
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/// <summary>
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/// No properties specified.
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/// </summary>
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Unspecified = 0,
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/// <summary>
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/// No Property of the observation in that dimension. Observation can be processed with
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/// fully connected networks.
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/// </summary>
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None = 1,
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/// <summary>
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/// Means it is suitable to do a convolution in this dimension.
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/// </summary>
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TranslationalEquivariance = 2,
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/// <summary>
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/// Means that there can be a variable number of observations in this dimension.
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/// The observations are unordered.
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/// </summary>
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VariableSize = 4,
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}
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/// <summary>
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/// The ObservationType enum of the Sensor.
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/// </summary>
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public enum ObservationType
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{
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/// <summary>
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/// Collected observations are generic.
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/// </summary>
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Default = 0,
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/// <summary>
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/// Collected observations contain goal information.
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/// </summary>
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Goal = 1,
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}
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/// <summary>
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/// Sensor interface for generating observations.
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/// </summary>
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public interface ISensor
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{
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/// <summary>
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/// Returns a description of the observations that will be generated by the sensor.
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/// See <see cref="ObservationSpec"/> for more details, and helper methods to create one.
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/// </summary>
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/// <returns></returns>
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ObservationSpec GetObservationSpec();
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/// <summary>
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/// Write the observation data directly to the <see cref="ObservationWriter"/>.
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/// Note that this (and <see cref="GetCompressedObservation"/>) may
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/// be called multiple times per agent step, so should not mutate any internal state.
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/// </summary>
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/// <param name="writer">Where the observations will be written to.</param>
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/// <returns>The number of elements written.</returns>
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int Write(ObservationWriter writer);
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/// <summary>
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/// Return a compressed representation of the observation. For small observations,
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/// this should generally not be implemented. However, compressing large observations
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/// (such as visual results) can significantly improve model training time.
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/// </summary>
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/// <returns>Compressed observation.</returns>
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byte[] GetCompressedObservation();
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/// <summary>
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/// Update any internal state of the sensor. This is called once per each agent step.
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/// </summary>
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void Update();
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/// <summary>
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/// Resets the internal state of the sensor. This is called at the end of an Agent's episode.
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/// Most implementations can leave this empty.
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/// </summary>
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void Reset();
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/// <summary>
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/// Return the compression type being used. If no compression is used, return
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/// <see cref="SensorCompressionType.None"/>.
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/// </summary>
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/// <returns>Compression type used by the sensor.</returns>
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SensorCompressionType GetCompressionType();
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/// <summary>
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/// Get the name of the sensor. This is used to ensure deterministic sorting of the sensors
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/// on an Agent, so the naming must be consistent across all sensors and agents.
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/// </summary>
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/// <returns>The name of the sensor.</returns>
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string GetName();
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}
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/// <summary>
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/// Helper methods to be shared by all classes that implement <see cref="ISensor"/>.
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/// </summary>
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public static class SensorExtensions
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{
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/// <summary>
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/// Get the total number of elements in the ISensor's observation (i.e. the product of the
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/// shape elements).
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/// </summary>
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/// <param name="sensor"></param>
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/// <returns></returns>
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public static int ObservationSize(this ISensor sensor)
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{
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var obsSpec = sensor.GetObservationSpec();
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var count = 1;
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for (var i = 0; i < obsSpec.Rank; i++)
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{
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count *= obsSpec.Shape[i];
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}
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return count;
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}
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}
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}
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