I need some help. I’m using a Jupyter Notebook in VSCode, Windows 10. I use pip module and I installed all libraries which I need. In fact, until a few weeks I didn’t have any problems.
Here is the thing: I import TensorFlow and get this
Import tensorflow as tf
TypeError: register_loss_scale_wrapper() takes 2 positional arguments but 3 were given
If I try to import Keras:
from tensorflow import keras
TypeError: register_loss_scale_wrapper() takes 2 positional arguments but 3 were given
It’s like an update had some changes on this function. I already tried reinstalling TF and Keras, but nothing changes. Hope anyone can help me.
This is the whole error:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
c:\Users\pedro\OneDrive\Documentos\PythonProjects\FreeCodeCamp\Sms-text-classifier\fcc_sms_text_classification.ipynb Cell 2' in <module>
10 except Exception:
11 pass
---> 12 import tensorflow as tf
13 import pandas as pd
14 from tensorflow import keras
File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\tensorflow\__init__.py:473, in <module>
471 if hasattr(_current_module, "keras"):
472 try:
--> 473 keras._load()
474 except ImportError:
475 pass
File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\tensorflow\python\util\lazy_loader.py:41, in LazyLoader._load(self)
39 """Load the module and insert it into the parent's globals."""
40 # Import the target module and insert it into the parent's namespace
---> 41 module = importlib.import_module(self.__name__)
42 self._parent_module_globals[self._local_name] = module
44 # Emit a warning if one was specified
File ~\AppData\Local\Programs\Python\Python310\lib\importlib\__init__.py:126, in import_module(name, package)
124 break
125 level += 1
--> 126 return _bootstrap._gcd_import(name[level:], package, level)
File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\__init__.py:24, in <module>
21 from tensorflow.python import tf2
22 from keras import distribute
---> 24 from keras import models
26 from keras.engine.input_layer import Input
27 from keras.engine.sequential import Sequential
File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\models\__init__.py:18, in <module>
15 """Keras models API."""
16 # pylint: disable=g-bad-import-order
---> 18 from keras.engine.functional import Functional
19 from keras.engine.sequential import Sequential
20 from keras.engine.training import Model
File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\engine\functional.py:24, in <module>
22 import warnings
23 from keras import backend
---> 24 from keras.dtensor import layout_map as layout_map_lib
25 from keras.engine import base_layer
26 from keras.engine import base_layer_utils
File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\dtensor\layout_map.py:25, in <module>
23 from keras.dtensor import lazy_variable
24 from keras.dtensor import utils
---> 25 from keras.engine import base_layer
27 # pylint: disable=missing-class-docstring
28
29 # We will skip the path for certain attributes when mapping the layout, e.g.
30 # model._self_tracked_trackables, or layer._trainable_weights/
31 # _non_trainable_weights, etc. Those attributes are usually served as a cache,
32 # and the actual variable should be in somewhere else.
33 _KERAS_ATTRIBUTES_TO_SKIP = ['_self_tracked_trackables', '_trainable_weights',
34 '_non_trainable_weights',
35 '_captured_weight_regularizer']
File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\engine\base_layer.py:44, in <module>
42 from keras.engine import keras_tensor
43 from keras.engine import node as node_module
---> 44 from keras.mixed_precision import autocast_variable
45 from keras.mixed_precision import loss_scale_optimizer
46 from keras.mixed_precision import policy
File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\mixed_precision\__init__.py:22, in <module>
1 # Copyright 2020 The TensorFlow Authors. All Rights Reserved.
2 #
3 # Licensed under the Apache License, Version 2.0 (the "License");
(...)
13 # limitations under the License.
14 # ==============================================================================
15 """Keras mixed precision API.
16
17 See [the mixed precision guide](
18 https://www.tensorflow.org/guide/keras/mixed_precision) to learn how to
19 use the API.
20 """
---> 22 from keras.mixed_precision.loss_scale_optimizer import LossScaleOptimizer
23 from keras.mixed_precision.policy import global_policy
24 from keras.mixed_precision.policy import Policy
File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\mixed_precision\loss_scale_optimizer.py:1341, in <module>
1334 else:
1335 raise ValueError(f'Invalid value passed to loss_scale. loss_scale '
1336 f'must be the string "dynamic" (recommended), an int, '
1337 f'a float, a FixedLossScale, or a DynamicLossScale. Got '
1338 f'value: {loss_scale}')
-> 1341 tf.__internal__.mixed_precision.register_loss_scale_wrapper(
1342 optimizer_v2.OptimizerV2, _create_loss_scale_optimizer_from_v1_loss_scale,
1343 LossScaleOptimizer)
1346 def _multiply_gradient(gradient, scale):
1347 """Multiply a (possibly sparse) gradient by the given scale factor."""
TypeError: register_loss_scale_wrapper() takes 2 positional arguments but 3 were given