There are no graphs in the scene UnityEngine.Debug:LogError (object) AstarPath:StartPath (Pathfinding.Path,bool) (at Assets/AstarPathfindingProject/Core/AstarPath.cs:1952) Pathfinding.Seeker:StartPathInternal (Pathfinding.Path,Pathfinding.OnPathDelegate) (at Assets/AstarPathfindingProject/Core/AI/Seeker.cs:469) Pathfinding.Seeker:StartPath (Pathfinding.Path,Pathfinding.OnPathDelegate) (at Assets/AstarPathfindingProject/Core/AI/Seeker.cs:419) Pathfinding.Seeker:StartPath (UnityEngine.Vector3,UnityEngine.Vector3,Pathfinding.OnPathDelegate) (at Assets/AstarPathfindingProject/Core/AI/Seeker.cs:382) Pathfinding.Seeker:StartPath (UnityEngine.Vector3,UnityEngine.Vector3) (at Assets/AstarPathfindingProject/Core/AI/Seeker.cs:369) PathGetter:BeginFindPath (UnityEngine.Vector3) (at Assets/Scripts/PathGetter.cs:54) PathGetter:OnButton2Clicked () (at Assets/Scripts/PathGetter.cs:43) UnityEngine.EventSystems.EventSystem:Update () (at Library/PackageCache/com.unity.ugui@1.0.0/Runtime/EventSystem/EventSystem.cs:514)

It looks like there is an error in the Unity engine related to pathfinding. The error message suggests that there are no graphs in the scene, which might be causing the issue. It seems to be a problem with the A* Pathfinding Project plugin. You can try checking if the necessary graphs are properly set up in your scene, and make sure that the A* Pathfinding component is attached to the correct GameObject. Additionally, you can check the A* Pathfinding Project documentation or seek help from the plugin's support community for further assistance in resolving this error.

相关问题

报错RuntimeError: Exporting/importing meta graphs is not supported when eager execution is enabled. No graph exists when eager execution is enabled.

这个错误通常是由于你的TensorFlow版本启用了Eager Execution（即立即执行模式），而在Eager Execution模式下，无法导出/导入Meta Graph。

解决这个问题的方法之一是禁用Eager Execution。你可以使用以下代码在TensorFlow 2.0中禁用Eager Execution：

import tensorflow as tf
tf.compat.v1.disable_eager_execution()

如果你正在使用TensorFlow 1.x，则可以按照以下方式禁用Eager Execution：

import tensorflow as tf
tf.compat.v1.disable_eager_execution()

如果你需要使用Eager Execution，但又需要导出/导入Meta Graph，则可以使用`tf.compat.v1.Session()`来创建一个不启用Eager Execution的会话。例如，你可以按照以下方式导出Meta Graph：

import tensorflow as tf

# 构建计算图
x = tf.placeholder(tf.float32, shape=[None, 784], name='x')
y = tf.placeholder(tf.float32, shape=[None, 10], name='y')
W = tf.Variable(tf.zeros([784, 10]), name='W')
b = tf.Variable(tf.zeros([10]), name='b')
logits = tf.matmul(x, W) + b
loss = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(logits=logits, labels=y))
train_op = tf.train.GradientDescentOptimizer(0.5).minimize(loss)

# 创建会话并导出Meta Graph
with tf.compat.v1.Session() as sess:
    sess.run(tf.compat.v1.global_variables_initializer())
    saver = tf.compat.v1.train.Saver()
    saver.save(sess, 'my-model', global_step=0, write_meta_graph=True)

在这个示例中，我们使用`tf.compat.v1.Session()`创建了一个不启用Eager Execution的会话，并使用`saver.save()`方法导出了Meta Graph，使得我们可以在其他地方导入该图。

NullReferenceException: Object reference not set to an instance of an object UnityEditor.Graphs.Edge.WakeUp ()

NullReferenceException: Object reference not set to an instance of an object是一个常见的错误，意味着你尝试访问一个空对象的属性或方法。根据引用，这个错误是在Unity编辑器的UnityEditor.Graphs.Edge类的WakeUp()方法中发生的。

根据引用，这个错误通常与Unity编辑器API对象相关，而不是由开发者编写的脚本引起的。所以，问题可能出现在Unity编辑器的代码中。

为了解决这个错误，你可以根据引用中的建议进行排查。首先，你可以尝试在Unity控制台中查看报错的具体位置，并逐一检查相关的脚本对象。你也可以使用Debug.Log()语句在代码中添加调试信息，以帮助你找到错误所在。此外，你还可以使用Visual Studio的“附加到Unity”调试功能来调试代码逻辑是否有误。

总结来说，NullReferenceException: Object reference not set to an instance of an object错误通常与Unity编辑器的API对象相关。你可以通过检查报错位置和使用调试工具来定位问题并修复代码逻辑。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
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