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79 行
2.9 KiB
79 行
2.9 KiB
namespace MLAgents
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{
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public enum SensorCompressionType
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{
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None,
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PNG
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}
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/// <summary>
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/// Sensor interface for generating observations.
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/// For custom implementations, it is recommended to SensorBase instead.
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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 the size of the observations that will be generated.
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/// For example, a sensor that observes the velocity of a rigid body (in 3D) would return new {3}.
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/// A sensor that returns an RGB image would return new [] {Width, Height, 3}
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/// </summary>
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/// <returns></returns>
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int[] GetObservationShape();
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/// <summary>
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/// Write the observation data directly to the WriteAdapter.
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/// This is considered an advanced interface; for a simpler approach, use SensorBase and override WriteFloats instead.
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/// Note that this (and GetCompressedObservation) may be called multiple times per agent step, so should not
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/// mutate any internal state.
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/// </summary>
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/// <param name="adapater"></param>
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/// <returns>The number of elements written</returns>
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int Write(WriteAdapter adapater);
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/// <summary>
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/// Return a compressed representation of the observation. For small observations, this should generally not be
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/// implemented. However, compressing large observations (such as visual results) can significantly improve
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/// model training time.
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/// </summary>
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/// <returns></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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/// Return the compression type being used. If no compression is used, return SensorCompressionType.None
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/// </summary>
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/// <returns></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 on an Agent,
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/// 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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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 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 shape = sensor.GetObservationShape();
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int count = 1;
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for (var i = 0; i < shape.Length; i++)
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{
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count *= 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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