Check-in FAQ (#256)

* Check-in FAQ

* update

* update

docs/en/faq.md

+# FAQ
+
+## ModuleNotFoundError
+
+### No module named 'mmengine.config.lazy'
+
+There is probably a cached mmengine in your local host. Try to install its latest version.
+
+```shell
+pip install --upgrade mmengine
+```
+
+### No module named '\_turbomind'
+
+It may have been caused by the following reasons.
+
+1. You haven't installed lmdeploy's precompiled package. `_turbomind` is the pybind package of c++ turbomind, which involves compilation. It is recommended that you install the precompiled one.
+
+```shell
+pip install lmdeploy
+```
+
+2. If you have installed it and still encounter this issue, it is probably because you are executing turbomind-related command in the root directory of lmdeploy source code. Switching to another directory will fix it
+
+## Libs
+
+### libnccl.so.2 not found
+
+Make sure you have install lmdeploy (>=v0.0.5) through `pip install lmdeploy`.
+
+If the issue still exists after lmdeploy installation, add the path of `libnccl.so.2` to environment variable LD_LIBRARY_PATH.
+
+```shell
+# Get the location of nvidia-nccl-cu11 package
+pip show nvidia-nccl-cu11|grep Location
+# insert the path of "libnccl.so.2" to LD_LIBRARY_PATH
+export LD_LIBRARY_PATH={Location}/nvidia/nccl/lib:$LD_LIBRARY_PATH
+```
+
+### symbol cudaFreeAsync version libcudart.so.11.0 not defined in file libcudart.so.11.0 with link time reference
+
+It's probably due to a low-version cuda toolkit. LMDeploy runtime requires a minimum CUDA version of 11.2
+
+## Turbomind Inference
+
+## Pytorch Inference
+
+## Serve
+
+## Quantization

docs/zh_cn/faq.md

+# 常见问题
+
+## ModuleNotFoundError
+
+### No module named 'mmengine.config.lazy'
+
+可能是因为已经有旧版本的mmengine缓存在了本机。更新到最新班应该可以解决这个问题。
+
+```shell
+pip install --upgrade mmengine
+```
+
+### No module named '\_turbomind'
+
+可能是因为：
+
+1. 您没有安装 lmdeploy 的预编译包。`_turbomind`是 turbomind c++ 的 pybind部分，涉及到编译。推荐您直接安装预编译包。
+
+```
+pip install lmdeploy
+```
+
+2. 如果已经安装了，还是出现这个问题，请检查下执行目录。不要在 lmdeploy 的源码根目录下执行 python -m lmdeploy.turbomind.\*下的package，换到其他目录下执行。
+
+## Libs
+
+### libnccl.so.2 not found
+
+确保通过 `pip install lmdeploy` 安装了 lmdeploy (>=v0.0.5)。
+
+如果安装之后，问题还存在，那么就把`libnccl.so.2`的路径加入到环境变量 LD_LIBRARY_PATH 中。
+
+```shell
+# 获取nvidia-nccl-cu11 package的安装目录
+pip show nvidia-nccl-cu11|grep Location
+# 把"libnccl.so.2"的路径加入到 LD_LIBRARY_PATH
+export LD_LIBRARY_PATH={Location}/nvidia/nccl/lib:$LD_LIBRARY_PATH
+```
+
+### symbol cudaFreeAsync version libcudart.so.11.0 not defined in file libcudart.so.11.0 with link time reference
+
+很可能是机器上的 cuda 版本太低导致的。LMDeploy运行时要求 cuda 不低于 11.2
+
+## Turbomind 推理
+
+## Pytorch 推理
+
+## 服务
+
+## 量化