有时protobuf 一揽子计划可以在没有你参与的情况下安装。 为此,你有两个解决办法。 以下解决办法之一值得一提,它应当发挥作用。

Solution 1:

页: 1 plugin,

pip install protobuf==3.20.*

或者,作为最后一揽子方案,请在<代码>查询.txt文档中加入。 由于这将优先于先前安装的protobuf。

...
protobuf==3.20.*

Solution 2:

你们可以确定以下环境变量。

export PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python

according to the error description, this might impact your program performance.

but this will use pure-Python parsing and will be much slower

参考资料:

• TypeError: Descriptors cannot not be created directly
• [Python] Release 4.21.0 broke multiple Google Cloud client libraries ("TypeError: Descriptors cannot not be created directly.")

<<>Solution 1: 降级防御工事

This library has recently released a new version, which causes an error. Use this command in the terminal to downgrade, which should resolve the problem:

pip install --upgrade "protobuf<=3.20.1"

或强迫重新插入旧版本:

pip install  protobuf<=3.20.1  --force-reinstall

< Update TensorFlow to the recent edition

TensorFlow 2.9.1于2022年5月23日获释。 可更新:

pip install tensorflow==2.9.1

航道使用最新版本的TensorFlow。

在我的案件中,我没有在我的<编码>中明确列入<编码>protobuf 查询tx,但我确实有相关的依赖性,这显然有问题:

googleapis-common-protos==1.6.0。 # 取决于代用产品

<>Removing<>>>>>em>,允许随后的pip装置-e (假定setup.py现存)与google-api-core==1.13.0对附属公司适用。 结果安装了<代码>googleapis-common-protos==1.56.2,并解决了错误。

甚至我也遇到了同样的错误。

我通过安装推进器解决了这一问题:

pip install protobuf==3.20.

指挥

pip install protobuf==3.20.3 --upgrade

Worked for me. All other versions mentioned in the answers did not solve the problem.

Alternatively, I was able to upgrade to wandb==0.12.17, and everything seems to be working.

Old (not working):

  - pip:
      - wandb==0.10.21

新(工作):

  - pip:
      - wandb==0.12.17

不得直接设立声明人:

1. We need to downgrade the protobuf package from 4.21.2 to 3.20.1.
2. Go to setting → Project → Python Interpreter → install protobuf 3.20.1 (specify version)

The following work for me in TensorFlow。 2.8:

pip install protobuf==3.20.*

< Python 包装用户指南(https://github.com/pypa/ Packaging.python.org” rel=“nofollow noreferer”>on Git Hub

Steps

Requirements / prerequisites:

1. 间谍

2. 2. 随同

3. 2. sp-内表 2021.4.11b9

4. python-docs-theme 2021.5

5. 脊髓灰质炎 0.4.0

6. <代码>python-V的输出:

   3.8.10

7. <代码>protoc.exe www.un.org/Depts/DGACM/index_spanish.htm

   校准 3.21.0-rc2

Installation:

1. http://github.com/pypa/pypa-docs-theme.git#egg=pypa-docs-theme

2. 图书馆

3. Copy the compiled library from F: empPythonprotocpackaging.python.orgprotobufDebug to F: empPythonprotocpackaging.python.orgprotobufsrc

<<>Output>:

installing library code to builddist.win-amd64egg
running install_lib
running build_py
creating buildlib.win-amd64-3.8
creating buildlib.win-amd64-3.8google
copying google\__init__.py -> buildlib.win-amd64-3.8google
creating buildlib.win-amd64-3.8googleprotobuf
copying googleprotobufany_pb2.py -> buildlib.win-amd64-3.8googleprotobuf
copying googleprotobufapi_pb2.py -> buildlib.win-amd64-3.8googleprotobuf
copying googleprotobufdescriptor.py -> buildlib.win-amd64-3.8googleprotobuf
copying googleprotobufdescriptor_database.py -> buildlib.win-amd64-3.8googleprotobuf
copying googleprotobufdescriptor_pb2.py -> buildlib.win-amd64-3.8googleprotobuf
copying googleprotobufdescriptor_pool.py -> buildlib.win-amd64-3.8googleprotobuf
copying googleprotobufduration_pb2.py -> buildlib.win-amd64-3.8googleprotobuf
copying googleprotobufempty_pb2.py -> buildlib.win-amd64-3.8googleprotobuf
copying googleprotobuffield_mask_pb2.py -> buildlib.win-amd64-3.8googleprotobuf
copying googleprotobufjson_format.py -> buildlib.win-amd64-3.8googleprotobuf
copying googleprotobufmessage.py -> buildlib.win-amd64-3.8googleprotobuf
copying googleprotobufmessage_factory.py -> buildlib.win-amd64-3.8googleprotobuf
copying googleprotobufproto_builder.py -> buildlib.win-amd64-3.8googleprotobuf
copying googleprotobuf
eflection.py -> buildlib.win-amd64-3.8googleprotobuf
copying googleprotobufservice.py -> buildlib.win-amd64-3.8googleprotobuf
copying googleprotobufservice_reflection.py -> buildlib.win-amd64-3.8googleprotobuf
copying googleprotobufsource_context_pb2.py -> buildlib.win-amd64-3.8googleprotobuf
copying googleprotobufstruct_pb2.py -> buildlib.win-amd64-3.8googleprotobuf
copying googleprotobufsymbol_database.py -> buildlib.win-amd64-3.8googleprotobuf
copying googleprotobuf	ext_encoding.py -> buildlib.win-amd64-3.8googleprotobuf
copying googleprotobuf	ext_format.py -> buildlib.win-amd64-3.8googleprotobuf
copying googleprotobuf	imestamp_pb2.py -> buildlib.win-amd64-3.8googleprotobuf
copying googleprotobuf	ype_pb2.py -> buildlib.win-amd64-3.8googleprotobuf
copying googleprotobufunknown_fields.py -> buildlib.win-amd64-3.8googleprotobuf
copying googleprotobufwrappers_pb2.py -> buildlib.win-amd64-3.8googleprotobuf
copying googleprotobuf\__init__.py -> buildlib.win-amd64-3.8googleprotobuf

...
testTimestampSerializeAndParse (google.protobuf.internal.well_known_types_test.TimeUtilTest) ... ok
testTimezoneAwareDatetimeConversionLA (google.protobuf.internal.well_known_types_test.TimeUtilTest)
testTimezoneAwareDatetimeConversionLA([1969, 12, 31, 18], datetime.timezone(datetime.timedelta(days=-1, seconds=57600),  US/Pacific )) ... ok
testTimezoneAwareDatetimeConversionLondon (google.protobuf.internal.well_known_types_test.TimeUtilTest)
testTimezoneAwareDatetimeConversionLondon([1970, 1, 1, 2], datetime.timezone.utc) ... ok
testTimezoneAwareDatetimeConversionTokyo (google.protobuf.internal.well_known_types_test.TimeUtilTest)
testTimezoneAwareDatetimeConversionTokyo([1970, 1, 1, 11], datetime.timezone(datetime.timedelta(seconds=32400),  Japan )) ... ok
testTimezoneNaiveDatetimeConversion (google.protobuf.internal.well_known_types_test.TimeUtilTest) ... ok
testByteSizeFunctions (google.protobuf.internal.wire_format_test.WireFormatTest) ... ok
testPackTag (google.protobuf.internal.wire_format_test.WireFormatTest) ... ok
testUnpackTag (google.protobuf.internal.wire_format_test.WireFormatTest) ... ok
testZigZagDecode (google.protobuf.internal.wire_format_test.WireFormatTest) ... ok
testZigZagEncode (google.protobuf.internal.wire_format_test.WireFormatTest) ... ok

在升级

I solved it upgrading google-cloud-audit-log:

pip install google-cloud-audit-log==0.2.4

pip freeze | grep google

google-api-core==2.10.2
google-api-python-client==2.57.0
google-auth==2.10.0
google-auth-httplib2==0.1.0
google-auth-oauthlib==0.5.2
google-cloud-appengine-logging==1.1.6
google-cloud-audit-log==0.2.4
google-cloud-core==2.3.2
google-cloud-logging==3.2.5
google-cloud-storage==2.5.0
google-crc32c==1.1.2
google-resumable-media==2.4.0
googleapis-common-protos==1.56.4
grpc-google-iam-v1==0.12.4

我有一个类似的问题。 就我的案件而言,我简单地核实了我的斯达尔语译员,以确保:(3.20.3)安装在口译中,但实际情况并非如此,尽管安装在为该项目创建的虚拟环境中。

我得以通过下列途径解决了类似的问题:

pip uninstall protobuf
conda install  protobuf=3.20.1 

在下级 时,我对这一准确问题有一个非常简单的解决办法(我不想冒风险降低方案业绩)。 我在《视觉演播室法》中制作了一个说明书时遇到了这一问题。

对我来说,它正在更新TensorFlow,从2.5.0版到2.12版。

我最近在法典中看到了同样的错误。 在我的案件中,还有一张牵涉<代码>pychromecast的痕迹。 因此,对我来说,定点只是更新了<代码>pychromecast。 这只是提醒说,固定办法不一定是贬低某些包裹。