'hello everyone, Iam new to programming, I am using jupyter notebook using anaconda, here i found some problem with the importing of libraries
# lstm model
import tensorflow as tf
from numpy import mean
from numpy import std
from numpy import dstack
from pandas import read_csv
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
from tensorflow.keras.layers import Flatten
from tensorflow.keras.layers import Dropout
from tensorflow.keras.layers import LSTM
from tensorflow.keras.utils import to_categorical
from matplotlib import pyplot
When i run this cell iam getting the below error, I am using jupyter notebook using anaconda, using anaconda every packages will be installed related to python but in this it is showing regarding tensorflow problem while the importing libraries, I am using latest version of python 3.9,would anyone help to resolve the issue
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_10616/748904884.py in <module>
1 # lstm model
----> 2 import tensorflow as tf
3 from numpy import mean
4 from numpy import std
5 from numpy import dstack
~\AppData\Roaming\Python\Python39\site-packages\tensorflow\__init__.py in <module>
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 <module>
44
45 # Bring in subpackages.
---> 46 from tensorflow.python import data
47 from tensorflow.python import distribute
48 # from tensorflow.python import keras
~\AppData\Roaming\Python\Python39\site-packages\tensorflow\python\data\__init__.py in <module>
23
24 # pylint: disable=unused-import
---> 25 from tensorflow.python.data import experimental
26 from tensorflow.python.data.ops.dataset_ops import AUTOTUNE
27 from tensorflow.python.data.ops.dataset_ops import Dataset
~\AppData\Roaming\Python\Python39\sitepackages\tensorflow\python\data\experimental\__init__.py
in <module>
96
97 # pylint: disable=unused-import
---> 98 from tensorflow.python.data.experimental import service
99 from tensorflow.python.data.experimental.ops.batching import dense_to_ragged_batch
100 from tensorflow.python.data.experimental.ops.batching import dense_to_sparse_batch
~\AppData\Roaming\Python\Python39\site-
packages\tensorflow\python\data\experimental\service\__init__.py in <module>
372 from __future__ import print_function
373
--> 374 from tensorflow.python.data.experimental.ops.data_service_ops import distribute
375 from tensorflow.python.data.experimental.ops.data_service_ops import from_dataset_id
376 from tensorflow.python.data.experimental.ops.data_service_ops import register_dataset
~\anaconda3\envs\mygpu\lib\site-
packages\tensorflow\python\data\experimental\ops\data_service_ops.py in <module>
23
24 from tensorflow.python import tf2
---> 25 from tensorflow.python.data.experimental.ops import compression_ops
26 from tensorflow.python.data.experimental.ops.distribute_options import AutoShardPolicy
27 from tensorflow.python.data.experimental.ops.distribute_options import
ExternalStatePolicy
~\anaconda3\envs\mygpu\lib\site-
packages\tensorflow\python\data\experimental\ops\compression_ops.py in <module>
18 from __future__ import print_function
19
---> 20 from tensorflow.python.data.util import structure
21 from tensorflow.python.ops import gen_experimental_dataset_ops as ged_ops
22
~\anaconda3\envs\mygpu\lib\site-packages\tensorflow\python\data\util\structure.py in <module>
24 import wrapt
25
---> 26 from tensorflow.python.data.util import nest
27 from tensorflow.python.framework import composite_tensor
28 from tensorflow.python.framework import ops
~\anaconda3\envs\mygpu\lib\site-packages\tensorflow\python\data\util\nest.py in <module>
38 import six as _six
39
---> 40 from tensorflow.python.framework import sparse_tensor as _sparse_tensor
41 from tensorflow.python.util import _pywrap_utils
42 from tensorflow.python.util import nest
~\anaconda3\envs\mygpu\lib\site-packages\tensorflow\python\framework\sparse_tensor.py in
<module>
26 from tensorflow.python import tf2
27 from tensorflow.python.framework import composite_tensor
---> 28 from tensorflow.python.framework import constant_op
29 from tensorflow.python.framework import dtypes
30 from tensorflow.python.framework import ops
~\anaconda3\envs\mygpu\lib\site-packages\tensorflow\python\framework\constant_op.py in
<module>
27 from tensorflow.core.framework import types_pb2
28 from tensorflow.python.eager import context
---> 29 from tensorflow.python.eager import execute
30 from tensorflow.python.framework import dtypes
31 from tensorflow.python.framework import op_callbacks
~\anaconda3\envs\mygpu\lib\site-packages\tensorflow\python\eager\execute.py in <module>
25 from tensorflow.python import pywrap_tfe
26 from tensorflow.python.eager import core
---> 27 from tensorflow.python.framework import dtypes
28 from tensorflow.python.framework import ops
29 from tensorflow.python.framework import tensor_shape
~\anaconda3\envs\mygpu\lib\site-packages\tensorflow\python\framework\dtypes.py in <module>
30 from tensorflow.python.util.tf_export import tf_export
31
---> 32 _np_bfloat16 = _pywrap_bfloat16.TF_bfloat16_type()
33
34
TypeError: Unable to convert function return value to a Python type! The signature was
() -> handle
Solution 1:[1]
First try to install each package one by one and you will be able to use it at once.
Solution 2:[2]
I was having this issue on m1 macbook, turns out my tensorflow dependency was not in sync with my tensorflow-macos package. This would be a good place to check, In this page the version they give is 2.6.0 but the newest version for tf-macos when running this command python -m pip install tensorflow-macos
gives 2.8.0 thus the error. If you just updated your tensorflow version this could very well be there case, go through you tensorflow dependencies and see if there's a mix up.
If that doesn't solve it, then yeah install tokenizer first then transformer, see if that solves the issue
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
Solution | Source |
---|---|
Solution 1 | ouflak |
Solution 2 | Leo Liu |