[Python] AttributeError: 'tuple' object has no attribute 'as_list' when using tf.keras.Input

I am trying to use ResNet3D from tensorflow-models library but I am getting this weird error when trying to run the block

!pip install tf-models-official==2.17.0


Tensorflow version is 2.18 on the Kaggle notebook.

After installing tf-models-official

from tensorflow.keras.callbacks import EarlyStopping, ReduceLROnPlateau
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Dense, GlobalAveragePooling3D, Input
from tensorflow.keras.optimizers import AdamW
import tensorflow_models as tfm

def create_model():
base_model = tfm.vision.backbones.ResNet3D(model_id = 50,
temporal_strides= [3,3,3,3],
temporal_kernel_sizes = [(5,5,5),(5,5,5,5),(5,5,5,5,5,5),(5,5,5)],
input_specs=tf.keras.layers.InputSpec(shape=(None, None, IMG_SIZE, IMG_SIZE, 3))
)

# Unfreeze the base model layers
base_model.trainable = True

# Create the model
inputs = Input(shape=[None, None, IMG_SIZE, IMG_SIZE, 3])
x = base_model(inputs) # B,1,7,7,2048
x = GlobalAveragePooling3D(data_format="channels_last", keepdims=False)(x)
x = Dense(1024, activation='relu')(x)
x = tf.keras.layers.Dropout(0.3)(x) # Add dropout to prevent overfitting
outputs = Dense(NUM_CLASSES, activation='softmax')(x)

model = Model(inputs, outputs)

# Compile the model with class weights
optimizer = AdamW(learning_rate=1e-4, weight_decay=1e-5)
model.compile(
optimizer=optimizer,
loss='sparse_categorical_crossentropy',
metrics=['accuracy', tf.keras.metrics.AUC()]
)

return model

# Create and display model
model = create_model()
model.summary()


When I run this, I get the error below:

---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-56-363271b4dda8> in <cell line: 39>()
37
38 # Create and display model
---> 39 model = create_model()
40 model.summary()

<ipython-input-56-363271b4dda8> in create_model()
18 # Create the model
19 inputs = Input(shape=(None, None, IMG_SIZE, IMG_SIZE, 3))
---> 20 x = base_model(inputs) # B,1,7,7,2048
21 x = GlobalAveragePooling3D(data_format="channels_last", keepdims=False)(x)
22 x = Dense(1024, activation='relu')(x)

/usr/local/lib/python3.10/dist-packages/tf_keras/src/utils/traceback_utils.py in error_handler(*args, **kwargs)
59 def error_handler(*args, **kwargs):
60 if not tf.debugging.is_traceback_filtering_enabled():
---> 61 return fn(*args, **kwargs)
62
63 filtered_tb = None

/usr/local/lib/python3.10/dist-packages/tf_keras/src/engine/training.py in __call__(self, *args, **kwargs)
586 layout_map_lib._map_subclass_model_variable(self, self._layout_map)
587
--> 588 return super().__call__(*args, **kwargs)
589
590 @doc_controls.doc_in_current_and_subclasses

/usr/local/lib/python3.10/dist-packages/tf_keras/src/utils/traceback_utils.py in error_handler(*args, **kwargs)
59 def error_handler(*args, **kwargs):
60 if not tf.debugging.is_traceback_filtering_enabled():
---> 61 return fn(*args, **kwargs)
62
63 filtered_tb = None

/usr/local/lib/python3.10/dist-packages/tf_keras/src/engine/base_layer.py in __call__(self, *args, **kwargs)
1101 training=training_mode,
1102 ):
-> 1103 input_spec.assert_input_compatibility(
1104 self.input_spec, inputs, self.name
1105 )

/usr/local/lib/python3.10/dist-packages/tf_keras/src/engine/input_spec.py in assert_input_compatibility(input_spec, inputs, layer_name)
300 "incompatible with the layer: "
301 f"expected shape={spec.shape}, "
--> 302 f"found shape={display_shape(x.shape)}"
303 )
304

/usr/local/lib/python3.10/dist-packages/tf_keras/src/engine/input_spec.py in display_shape(shape)
305
306 def display_shape(shape):
--> 307 return str(tuple(shape.as_list()))
308
309

AttributeError: 'tuple' object has no attribute 'as_list'


I have tried passing the input to the shape argument as a list, but still getting the same error.

The error is occurring with this

!pip install tf-models-official==2.17.0

import tensorflow as tf

inputs = tf.keras.Input(shape=[None, None, IMG_SIZE, IMG_SIZE, 3])
print(inputs.shape.as_list())


Error:

---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-39-6e88680ff7df> in <cell line: 2>()
1 inputs = tf.keras.Input(shape=[None, None, IMG_SIZE, IMG_SIZE, 3])
----> 2 print(inputs.shape.as_list())

AttributeError: 'tuple' object has no attribute 'as_list'

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