issue of conversion

[snehajhaveri01]

Error :
Traceback (most recent call last):
File "C:\Users\jhave\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\src\engine\base_layer.py", line 868, in from_config
return cls(**config)
File "C:\Users\jhave\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\src\utils\traceback_utils.py", line 70, in error_handler
raise e.with_traceback(filtered_tb) from None
File "C:\Users\jhave\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\src\engine\input_layer.py", line 153, in init
raise ValueError(
ValueError: Unrecognized keyword arguments: ['batch_shape']

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "c:\Users\jhave\OneDrive\Documents\mood-shift\model.py", line 6, in
keras_model = tf.keras.models.load_model('mood-shift.keras')
File "C:\Users\jhave\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\src\saving\saving_api.py", line 254, in load_model
return saving_lib.load_model(
File "C:\Users\jhave\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\src\saving\saving_lib.py", line 281, in load_model
raise e
File "C:\Users\jhave\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\src\saving\saving_lib.py", line 246, in load_model
model = deserialize_keras_object(
File "C:\Users\jhave\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\src\saving\serialization_lib.py", line 728, in deserialize_keras_object
instance = cls.from_config(inner_config)
File "C:\Users\jhave\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\src\engine\sequential.py", line 466, in from_config
layer = layer_module.deserialize(
File "C:\Users\jhave\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\src\layers\serialization.py", line 276, in deserialize
return serialization_lib.deserialize_keras_object(
File "C:\Users\jhave\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\src\saving\serialization_lib.py", line 609, in deserialize_keras_object
return deserialize_keras_object(
File "C:\Users\jhave\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\src\saving\serialization_lib.py", line 728, in deserialize_keras_object
instance = cls.from_config(inner_config)
File "C:\Users\jhave\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\src\engine\base_layer.py", line 870, in from_config
raise TypeError(
TypeError: Error when deserializing class 'InputLayer' using config={'batch_shape': [None, 30], 'dtype': 'float32', 'sparse': False, 'name': 'input_layer'}.

Exception encountered: Unrecognized keyword arguments: ['batch_shape']

[maximilianofried]

i had the same error!

I found a soultion using the keras legacy optimizer like this :

tf.keras.optimizers.legacy.SGD

python: 3.8.18
tensorflow: 2.13.0

[LakshmiKalaKadali]

Hi @snehajhaveri01,

Please fill the template and share the reproducible code.

Thank You

[snehajhaveri01]

i had the same error!

I found a soultion using the keras legacy optimizer like this :

tf.keras.optimizers.legacy.SGD

python: 3.8.18 tensorflow: 2.13.0

i solved it the same way , thank you !

[MuhammadBilal848]

3.8.18

i had the same error!
I found a soultion using the keras legacy optimizer like this :
tf.keras.optimizers.legacy.SGD
python: 3.8.18 tensorflow: 2.13.0

i solved it the same way , thank you !

how'd you solve it? i could not maintain python version in colab. I tried it on my machine. I have .h5 model but it is not able to load and showing

TypeError: Error when deserializing class 'InputLayer' using config={'batch_shape': [None, 50], 'dtype': 'float32', 'sparse': False, 'name': 'input_layer_10'}.

Exception encountered: Unrecognized keyword arguments: ['batch_shape']

I tried making python version of 3.8.18 and when installed tensorflow==2.13.0. It caused some problems with numpy and when I resolved it. now it is still not resolving the issue.

@maximilianofried @snehajhaveri01