WENZHE LIU

> > > 如果步骤都正确的话（比如改httpapi的config，setting.py）之后，运行group.py的同时可以观察酷q的日志debug模式，看看有没有qq消息上报成功。这里有个已知问题，就是新qq号挂酷q会出现吞消息的情况，这是腾讯的屏蔽机制，挂几天就好了。 > > 关于监控房间串门，其实可以通过抓取房间号对应的当前在线列表，和成员对应的id表做个交集就可以看到。但是我不赞成这种监控成员的做法，所以不会分享。 > > roomid&ownerid只支持设置一个，如果想要监控多个房间，只能你自己改一下koudai48.py的类啦 不好意思，再麻烦一下您，请问怎么抓取房间号对应的当前在线列表呢？ https://github.com/chinshin/CQBot_hzx/blob/c9a3fab4eb516859e6d0abac1f13d3aff970373d/koudai48.py#L29 我查看了这个获得的`res`，没有发现相关的键值对。 麻烦您了：P

> > the best way is to use a GPU that has enough memory. > […](#) > ------------------ 原始邮件 ------------------ 发件人: "tuanhui-li"

> @xiaohuangdi8 Please can you close this issue? Hello, sorry for disturbance. I came across a problem that I cannot re-produce the performance in paper, details in #3 . Could...

> Message=Error(s) in loading state_dict for Backbone: Missing key(s) in state_dict: "input_layer.0.weight", "input_layer.1.weight", "input_layer.1.bias", "input_layer.1.running_mean", "input_layer.1.running_var", "input_layer.2.weight", "output_layer.0.weight", "output_layer.0.bias", "output_layer.0.running_mean", "output_layer.0.running_var", "output_layer.3.weight", "output_layer.3.bias", "output_layer.4.weight", "output_layer.4.bias", "output_layer.4.running_mean", "output_layer.4.running_var", "body.0.res_layer.0.weight", "body.0.res_layer.0.bias", "body.0.res_layer.0.running_mean",...

After I follow your aforementioned install method as below,  I still got error information, ``` Traceback (most recent call last): File "c:\Users\ghostInSh3ll\Desktop\graph_May_6\draw.py", line 8, in import bezier File "D:\Program\Anaconda3\lib\site-packages\bezier\__init__.py",...

如果我想查看train_data上的metric应该怎么办呢？

如果把参数name中的ernie改成ernie_tiny，则不会报错

> paddlepaddle 2.4.1 cpu 做NER任务遇到了类似的问题，具体的报错如下 ``` [2023-01-01 09:44:46,575] [ WARNING] - Compatibility Warning: The params of ChunkEvaluator.compute has been modified. The old version is `inputs`, `lengths`, `predictions`, `labels` while the...

Hello, sorry for the disturbance again. Due to the fact that I have no way to deal with Helen as above, I further try the code on LaPa. But I...

> Hi, I just finished a single inference code. Hope it can help you. > > **First, create a config file in eval_configs:** > > model: arch: minigpt4 model_type: pretrain_llama2...