# Tensorflow import error **URL:** \ **Category:** Technical Topics\ **Created:** [January 3, 2023, 12:20pm UTC](https://forum.anaconda.com/t/tensorflow-import-error/48257 "2023-01-03T12:20:26Z")\ **Posts on this page:** 5\ **Page:** 1
**Author:** ![paramveer.prm](https://avatars.discourse-cdn.com/v4/letter/p/f5a800/32.png) [@paramveer.prm](https://forum.anaconda.com/u/paramveer.prm)\ **Post date:** [January 3, 2023, 12:20pm UTC](https://forum.anaconda.com/t/tensorflow-import-error/48257/1 "2023-01-03T12:20:26Z")
![image](https://europe1.discourse-cdn.com/anaconda/original/2X/d/dd9cb6eda1852ef82976b7632ac86ad58e097113.png) ---
**Author:** ![mccoy](https://avatars.discourse-cdn.com/v4/letter/m/f5a800/32.png) [@mccoy](https://forum.anaconda.com/u/mccoy)\ **Post date:** [January 4, 2023, 2:54pm UTC](https://forum.anaconda.com/t/tensorflow-import-error/48257/2 "2023-01-04T14:54:12Z")
I’ve had the same error when I attempt to import Tensorflow. ---
**Author:** ![paramveer.prm](https://avatars.discourse-cdn.com/v4/letter/p/f5a800/32.png) [@paramveer.prm](https://forum.anaconda.com/u/paramveer.prm)\ **Post date:** [January 9, 2023, 10:37am UTC](https://forum.anaconda.com/t/tensorflow-import-error/48257/3 "2023-01-09T10:37:39Z")
I fixed the error by installing all the packing again in a new environment. Try to install Tensorflow by using the command:- Conda install -c conda-forge Tensorflow ---
**Author:** ![mccoy](https://avatars.discourse-cdn.com/v4/letter/m/f5a800/32.png) [@mccoy](https://forum.anaconda.com/u/mccoy)\ **Post date:** [January 9, 2023, 12:51pm UTC](https://forum.anaconda.com/t/tensorflow-import-error/48257/4 "2023-01-09T12:51:14Z")
I tried that command and am still getting the same error. ---
**Author:** ![mccoy](https://avatars.discourse-cdn.com/v4/letter/m/f5a800/32.png) [@mccoy](https://forum.anaconda.com/u/mccoy)\ **Post date:** [January 11, 2023, 3:16pm UTC](https://forum.anaconda.com/t/tensorflow-import-error/48257/5 "2023-01-11T15:16:47Z")
## Still getting an error message when attempting to import tensor flow. Suggestions? TypeError Traceback (most recent call last) ~\AppData\Local\Temp\ipykernel\_21392\4294963926.py in ----\> 1 import tensorflow ~\AppData\Roaming\Python\Python39\site-packages\tensorflow\__init_\_.py in 39 import sys as \_sys 40 —\> 41 from tensorflow.python.tools import module\_util as \_module\_util 42 from tensorflow.python.util.lazy\_loader import LazyLoader as \_LazyLoader 43 ~\AppData\Roaming\Python\Python39\site-packages\tensorflow\python\__init_\_.py in 38 # pylint: disable=wildcard-import,g-bad-import-order,g-import-not-at-top 39 —\> 40 from tensorflow.python.eager import context 41 from tensorflow.python import pywrap\_tensorflow as \_pywrap\_tensorflow 42 ~\AppData\Roaming\Python\Python39\site-packages\tensorflow\python\eager\context.py in 30 import six 31 —\> 32 from tensorflow.core.framework import function\_pb2 33 from tensorflow.core.protobuf import config\_pb2 34 from tensorflow.core.protobuf import rewriter\_config\_pb2 ~\AppData\Roaming\Python\Python39\site-packages\tensorflow\core\framework\function\_pb2.py in 14 15 —\> 16 from tensorflow.core.framework import attr\_value\_pb2 as tensorflow\_dot\_core\_dot\_framework\_dot\_attr\_\_value\_\_pb2 17 from tensorflow.core.framework import node\_def\_pb2 as tensorflow\_dot\_core\_dot\_framework\_dot\_node\_\_def\_\_pb2 18 from tensorflow.core.framework import op\_def\_pb2 as tensorflow\_dot\_core\_dot\_framework\_dot\_op\_\_def\_\_pb2 ~\AppData\Roaming\Python\Python39\site-packages\tensorflow\core\framework\attr\_value\_pb2.py in 14 15 —\> 16 from tensorflow.core.framework import tensor\_pb2 as tensorflow\_dot\_core\_dot\_framework\_dot\_tensor\_\_pb2 17 from tensorflow.core.framework import tensor\_shape\_pb2 as tensorflow\_dot\_core\_dot\_framework\_dot\_tensor\_\_shape\_\_pb2 18 from tensorflow.core.framework import types\_pb2 as tensorflow\_dot\_core\_dot\_framework\_dot\_types\_\_pb2 ~\AppData\Roaming\Python\Python39\site-packages\tensorflow\core\framework\tensor\_pb2.py in 14 15 —\> 16 from tensorflow.core.framework import resource\_handle\_pb2 as tensorflow\_dot\_core\_dot\_framework\_dot\_resource\_\_handle\_\_pb2 17 from tensorflow.core.framework import tensor\_shape\_pb2 as tensorflow\_dot\_core\_dot\_framework\_dot\_tensor\_\_shape\_\_pb2 18 from tensorflow.core.framework import types\_pb2 as tensorflow\_dot\_core\_dot\_framework\_dot\_types\_\_pb2 ~\AppData\Roaming\Python\Python39\site-packages\tensorflow\core\framework\resource\_handle\_pb2.py in 14 15 —\> 16 from tensorflow.core.framework import tensor\_shape\_pb2 as tensorflow\_dot\_core\_dot\_framework\_dot\_tensor\_\_shape\_\_pb2 17 from tensorflow.core.framework import types\_pb2 as tensorflow\_dot\_core\_dot\_framework\_dot\_types\_\_pb2 18 ~\AppData\Roaming\Python\Python39\site-packages\tensorflow\core\framework\tensor\_shape\_pb2.py in 34 containing\_type=None, 35 fields=[ —\> 36 \_descriptor.FieldDescriptor( 37 name=‘size’, full\_name=‘tensorflow.TensorShapeProto.Dim.size’, index=0, 38 number=1, type=3, cpp\_type=2, label=1, ~\AppData\Roaming\Python\Python39\site-packages\google\protobuf\descriptor.py in **new** (cls, name, full\_name, index, number, type, cpp\_type, label, default\_value, message\_type, enum\_type, containing\_type, is\_extension, extension\_scope, options, serialized\_options, has\_default\_value, containing\_oneof, json\_name, file, create\_key) 558 has\_default\_value=True, containing\_oneof=None, json\_name=None, 559 file=None, create\_key=None): # pylint: disable=redefined-builtin → 560 \_message.Message.\_CheckCalledFromGeneratedFile() 561 if is\_extension: 562 return \_message.default\_pool.FindExtensionByName(full\_name) 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: [Changes announced May 6, 2022 | Protocol Buffers Documentation](https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates)