jiangbin

这个kernel时间可以更具体细化到内部芯片执行么？类似于数据搬运，以及执行。

我使用了mcTracer，算子具体的如何看？只是看到了算子kernel的时间。

你好，麻烦问一下有算子级别的性能分析工具么？类似于nv的nsight_compute工具。

这个就是gui-profiler的配置内容，还需要什么？

相同的日志里面，server里面打印的模型执行信息：
*warning] cannot get rpc server port, try more times:cannot retrieve rpc server port.
mcToolsExtPid_UsedPort:11989-33853
mcRpcPort.ini: ['11989,33853,python3.10']
[info] mctool client port:33853*
INFO 08-07 15:52:12 [parallel_state.py:1004] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0
INFO 08-07 15:52:12 [cuda.py:204] Using FlashMLA backend on V1 engine.
WARNING 08-07 15:52:12 [topk_topp_sampler.py:69] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer.
INFO 08-07 15:52:13 [gpu_model_runner.py:1329] Starting to load model /home/weight/DeepSeek-V2-Lite...
Loading safetensors checkpoint shards: 0% Completed | 0/4 [00:00<?, ?it/s]
Loading safetensors checkpoint shards: 25% Completed | 1/4 [00:04<00:13, 4.48s/it]
Loading safetensors checkpoint shards: 50% Completed | 2/4 [00:07<00:07, 3.74s/it]
Loading safetensors checkpoint shards: 75% Completed | 3/4 [00:12<00:04, 4.24s/it]强调文本

Task Menu下面Ex cute Loop 0我这边看到的有在docker里面执行模型的命令，且模型执行成功。但是还是一样的报错。如果有防火墙，这个数据应该无法返回。我这边已经确认把gui-profiler加到百名店白名单里面

1.在server日志文件里面，我看到了模型推理过程日志以及结果的打印日志。mcRpcPort.ini: ['cat: /root/mcRpcPort.ini: No such file or directory']这个是需要手动修改还是需要额外启动RPC服务？如何启动

[warning] cannot get rpc server port, try more times:cannot retrieve rpc server port.
mcRpcPort.ini: ['cat: /root/mcRpcPort.ini: No such file or directory']
[warning] cannot get rpc server port, try more times:cannot retrieve rpc server port.
mcToolsExtPid_UsedPort:10466-46153
mcRpcPort.ini: ['10466,46153,python3.10']
[info] mctool client port:46153
INFO 08-07 15:32:15 [parallel_state.py:1004] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0
INFO 08-07 15:32:15 [cuda.py:204] Using FlashMLA backend on V1 engine.
WARNING 08-07 15:32:15 [topk_topp_sampler.py:69] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer.
INFO 08-07 15:32:16 [gpu_model_runner.py:1329] Starting to load model /home/weight/DeepSeek-V2-Lite...
Loading safetensors checkpoint shards: 0% Completed | 0/4 [00:00<?, ?it/s]
Loading safetensors checkpoint shards: 25% Completed | 1/4 [00:04<00:12, 4.27s/it]
Loading safetensors checkpoint shards: 50% Completed | 2/4 [00:07<00:07, 3.54s/it]
Loading safetensors checkpoint shards: 75% Completed | 3/4 [00:11<00:04, 4.02s/it]
[error] cannot connect to server:
[error] execute failed:
[error] Traceback (most recent call last):
File "prpc_client\mctool_client.py", line 36, in init
File "grpc_utilities.py", line 151, in result
File "grpc_utilities.py", line 97, in _block
grpc.FutureTimeoutError

麻烦再帮看看，谢谢。3

好的。我这边检查一下防火墙拦截。别的两个和我这里没有关系。感谢。还有请教一下，现在除了mcprofiler工具，mx是否还有别的profiling工具，例如支持muxi支持的 推理引擎vllm上的性能分析。

我这边用mcprofiler都已经看到连接成功，在docker里面跑模型的日志也在profile的日志文件中答应出来了。为什么说服务失败。

感谢，应该是我理解错误，这里不需要选额外的docker选项了。还有一个问题请教，跑完以后，数据返回貌似失败。我这边请求已经跑完了。但是数据返回失败。
[warning] cannot get rpc server port, try more times:cannot retrieve rpc server port.
mcRpcPort.ini: ['cat: /root/mcRpcPort.ini: No such file or directory']
[warning] cannot get rpc server port, try more times:cannot retrieve rpc server port.
[error] cannot connect to server:
[error] execute failed:
[error] Traceback (most recent call last):
File "prpc_client\mctool_client.py", line 36, in init
File "grpc_utilities.py", line 151, in result
File "grpc_utilities.py", line 97, in _block
grpc.FutureTimeoutError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "phttp\server_backend.py", line 649, in perf_exec
File "phttp\server_backend.py", line 566, in _perf_exec
File "phttp\server_backend.py", line 523, in perf_run
File "prpc_client\mctool_client.py", line 40, in init
Exception

麻烦请教一下，使用docker的情况下。 remote port是不是映射到docker22上的linux端口。譬如8080->22 那填写的是8080？这里的remote user 和password是linux的还是docker的？ 我目前用的都是docker的ip，username 和passwd，port是linux的映射端口。
看日志的话，有报错如下：2025-08-06 21:01:52,803 INFO paramiko.transport: Authentication (publickey) failed.
2025-08-06 21:01:52,803 DEBUG paramiko.transport: userauth is OK
2025-08-06 21:01:52,852 INFO paramiko.transport: Authentication (password) successful!
2025-08-06 21:01:52,880 DEBUG paramiko.transport: Debug msg: b'Ignored authorized keys: bad ownership or modes for file /root/.ssh/authorized_keys'
2025-08-06 21:01:52,959 DEBUG paramiko.transport: Dropping user packet because connection is dead.
2025-08-06 21:01:52,959 DEBUG paramiko.transport: Dropping user packet because connection is dead. 麻烦帮看看，谢谢。

你好，那我这边账号密码输入是linux平台的是没有问题的对吧，不需要docker的容器账号密码么？谢谢，我试试看。

麻烦请教一下，如果mcProfiler远程连接 docker的环境，我这边输入了linux的账号密码（非docker的，ip地址，端口号22），选择了docker及输入docker ContainerName，无反应，是否在账号密码输入的是docker容器的账号密码？？如何逐步定位 命令启动失败原因，谢谢。