ction_dist = torch.distributions.Categorical(probs) action = action_dist.sample()怎么让action输出Tensor(1,2)

如果需要将action的形状从[1]变为[1, 2]，可以使用torch.unsqueeze()方法来增加一个维度。代码如下：

action_dist = torch.distributions.Categorical(probs)
action = action_dist.sample()
action = torch.unsqueeze(action, 1)

这里使用了torch.unsqueeze()方法，在第1个维度增加了一个维度，将形状从[1]变为[1, 1]。如果你需要在第2个维度增加一个维度，可以使用torch.unsqueeze(action, 2)。最后，使用torch.repeat()方法将整个张量在第2个维度上重复一次，从而得到形状为[1, 2]的张量。代码如下：

action_dist = torch.distributions.Categorical(probs)
action = action_dist.sample()
action = torch.unsqueeze(action, 1)
action = action.repeat(1, 2)

相关问题

ction client not connected: gripper_controller/follow_joint_trajectory

As an AI language model, I don't have enough context to provide a specific answer. However, this error message usually means that the robot's gripper controller is attempting to execute a joint trajectory, but the client is not connected. This can happen if there is an issue with the communication between the controller and the client, or if the client is not properly configured. Some possible solutions include checking the network connection, verifying that the client is properly configured, and restarting the gripper controller. It may also be helpful to consult the documentation or seek assistance from the manufacturer or a technical support team.

Request execution failed with message: java.net.ConnectException: Conne ction refused (Connection refused)

根据提供的引用内容，报错信息是"Request execution failed with message: java.net.ConnectException: Connection refused (Connection refused)"。这个错误通常表示连接被拒绝，可能是由于网络问题或目标服务器未启动导致的。

解决这个问题的一种方法是检查网络连接是否正常，确保目标服务器可访问。另外，还可以检查目标服务器是否已经启动并监听指定的端口。

以下是一些可能的解决方法：
1. 检查网络连接是否正常，确保可以访问目标服务器。
2. 确保目标服务器已经启动并监听指定的端口。
3. 检查防火墙设置，确保允许与目标服务器的连接。
4. 如果使用的是代理服务器，确保代理服务器的配置正确。
5. 检查目标服务器的日志文件，查看是否有其他错误信息。