问题描述 Please describe your issue

问题原因：
protobuf 于 2022.05.26 发布了 4.21 版本，如果您环境中没有 protobuf 的话，默认安装 paddle 时会自动下载最高版本的protobuf 4.21，paddle能安装成功但是 import paddle 会报错，这是由于protobuf 4.21 为不兼容升级，目前 develop 版本的 paddle 已经修复了这个问题（ see #43009 ），但是发行版由于已经编包发布所以仍存在这个问题，飞桨会在下个版本2.3.1中解决。
参考:

• https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates
• Streamlit run with protocbuf error
• TypeError: Descriptors cannot not be created directly

解决办法：

手动降低 protobuf 为 3.x
pip install protobuf==3.20.1

完整报错:

(py39) C:\Users\Admin>hub install ge2e_fastspeech2_pwgan==1.0.0
Traceback (most recent call last):
File "f:\anaconda3\envs\py39\lib\runpy.py", line 197, in run_module_as_main
return run_code(code, main_globals, None,
File "f:\anaconda3\envs\py39\lib\runpy.py", line 87, in run_code
exec(code, run_globals)
File "f:\anaconda3\envs\py39\Scripts\hub.exe_main.py", line 4, in
File "f:\anaconda3\envs\py39\lib\site-packages\paddlehub_init.py", line 18, in
import paddle
File "f:\anaconda3\envs\py39\lib\site-packages\paddle_init.py", line 25, in
from .framework import monkey_patch_variable
File "f:\anaconda3\envs\py39\lib\site-packages\paddle\framework_init.py", line 17, in
from . import random # noqa: F401
File "f:\anaconda3\envs\py39\lib\site-packages\paddle\framework\random.py", line 16, in
import paddle.fluid as fluid
File "f:\anaconda3\envs\py39\lib\site-packages\paddle\fluidinit_.py", line 36, in
from . import framework
File "f:\anaconda3\envs\py39\lib\site-packages\paddle\fluid\framework.py", line 35, in
from .proto import framework_pb2
File "f:\anaconda3\envs\py39\lib\site-packages\paddle\fluid\proto\framework_pb2.py", line 33, in
_descriptor.EnumValueDescriptor(
File "f:\anaconda3\envs\py39\lib\site-packages\google\protobuf\descriptor.py", line 755, in new
_message.Message._CheckCalledFromGeneratedFile()
TypeError: Descriptors cannot not be created directly.
If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.
If you cannot immediately regenerate your protos, some other possible workarounds are:

1. Downgrade the protobuf package to 3.20.x or lower.
2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).

More information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates