您最多选择25个主题
主题必须以中文或者字母或数字开头,可以包含连字符 (-),并且长度不得超过35个字符
142 行
4.7 KiB
142 行
4.7 KiB
using System;
|
|
using System.Collections.Generic;
|
|
using Barracuda;
|
|
using MLAgents.InferenceBrain;
|
|
|
|
namespace MLAgents
|
|
{
|
|
/// <summary>
|
|
/// Allows sensors to write to both TensorProxy and float arrays/lists.
|
|
/// </summary>
|
|
public class WriteAdapter
|
|
{
|
|
IList<float> m_Data;
|
|
int m_Offset;
|
|
|
|
TensorProxy m_Proxy;
|
|
int m_Batch;
|
|
|
|
TensorShape m_TensorShape;
|
|
|
|
internal WriteAdapter() { }
|
|
|
|
/// <summary>
|
|
/// Set the adapter to write to an IList at the given channelOffset.
|
|
/// </summary>
|
|
/// <param name="data">Float array or list that will be written to.</param>
|
|
/// <param name="shape">Shape of the observations to be written.</param>
|
|
/// <param name="offset">Offset from the start of the float data to write to.</param>
|
|
internal void SetTarget(IList<float> data, int[] shape, int offset)
|
|
{
|
|
m_Data = data;
|
|
m_Offset = offset;
|
|
m_Proxy = null;
|
|
m_Batch = 0;
|
|
|
|
if (shape.Length == 1)
|
|
{
|
|
m_TensorShape = new TensorShape(m_Batch, shape[0]);
|
|
}
|
|
else
|
|
{
|
|
m_TensorShape = new TensorShape(m_Batch, shape[0], shape[1], shape[2]);
|
|
}
|
|
}
|
|
|
|
/// <summary>
|
|
/// Set the adapter to write to a TensorProxy at the given batch and channel offset.
|
|
/// </summary>
|
|
/// <param name="tensorProxy">Tensor proxy that will be written to.</param>
|
|
/// <param name="batchIndex">Batch index in the tensor proxy (i.e. the index of the Agent).</param>
|
|
/// <param name="channelOffset">Offset from the start of the channel to write to.</param>
|
|
internal void SetTarget(TensorProxy tensorProxy, int batchIndex, int channelOffset)
|
|
{
|
|
m_Proxy = tensorProxy;
|
|
m_Batch = batchIndex;
|
|
m_Offset = channelOffset;
|
|
m_Data = null;
|
|
m_TensorShape = m_Proxy.data.shape;
|
|
}
|
|
|
|
/// <summary>
|
|
/// 1D write access at a specified index. Use AddRange if possible instead.
|
|
/// </summary>
|
|
/// <param name="index">Index to write to.</param>
|
|
public float this[int index]
|
|
{
|
|
set
|
|
{
|
|
if (m_Data != null)
|
|
{
|
|
m_Data[index + m_Offset] = value;
|
|
}
|
|
else
|
|
{
|
|
m_Proxy.data[m_Batch, index + m_Offset] = value;
|
|
}
|
|
}
|
|
}
|
|
|
|
/// <summary>
|
|
/// 3D write access at the specified height, width, and channel. Only usable with a TensorProxy target.
|
|
/// </summary>
|
|
/// <param name="h"></param>
|
|
/// <param name="w"></param>
|
|
/// <param name="ch"></param>
|
|
public float this[int h, int w, int ch]
|
|
{
|
|
set
|
|
{
|
|
if (m_Data != null)
|
|
{
|
|
if (h < 0 || h >= m_TensorShape.height)
|
|
{
|
|
throw new IndexOutOfRangeException($"height value {h} must be in range [0, {m_TensorShape.height - 1}]");
|
|
}
|
|
if (w < 0 || w >= m_TensorShape.width)
|
|
{
|
|
throw new IndexOutOfRangeException($"width value {w} must be in range [0, {m_TensorShape.width - 1}]");
|
|
}
|
|
if (ch < 0 || ch >= m_TensorShape.channels)
|
|
{
|
|
throw new IndexOutOfRangeException($"channel value {ch} must be in range [0, {m_TensorShape.channels - 1}]");
|
|
}
|
|
|
|
var index = m_TensorShape.Index(m_Batch, h, w, ch + m_Offset);
|
|
m_Data[index] = value;
|
|
}
|
|
else
|
|
{
|
|
m_Proxy.data[m_Batch, h, w, ch + m_Offset] = value;
|
|
}
|
|
}
|
|
}
|
|
|
|
/// <summary>
|
|
/// Write the range of floats
|
|
/// </summary>
|
|
/// <param name="data"></param>
|
|
/// <param name="writeOffset">Optional write offset.</param>
|
|
public void AddRange(IEnumerable<float> data, int writeOffset = 0)
|
|
{
|
|
if (m_Data != null)
|
|
{
|
|
int index = 0;
|
|
foreach (var val in data)
|
|
{
|
|
m_Data[index + m_Offset + writeOffset] = val;
|
|
index++;
|
|
}
|
|
}
|
|
else
|
|
{
|
|
int index = 0;
|
|
foreach (var val in data)
|
|
{
|
|
m_Proxy.data[m_Batch, index + m_Offset + writeOffset] = val;
|
|
index++;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|