Cosine_proximity loss function problem when using model.fit

Question

I'm trying to run this RNN model for that i want to use the cosine_proximity loss function, i should say that i'm coding using google colabthe code s.o please help me figure the problem. here is the source code of the RNN model:

import tensorflow as tf 
from tensorflow import keras 
from keras import Sequential
from keras.layers import LSTM
from keras.layers import Dropout

model = Sequential()

model.add(LSTM(units=512, input_shape = X_train.shape[1:],activation='relu',return_sequences= True))
model.add(Dropout(0.2)

model.add(LSTM(units=128,activation='relu',return_sequences= True))
model.add(Dropout(0.2)

model.add(LSTM(units=64,activation='relu',return_sequences=True))
model.add(Dropout(0.2)

model.add(Dense(units=10,activation='relu'))
model.add(Dropout(0.2)

model.compile(loss="cosine_proximity", optimizer='sgd', metrics = ['accuracy'])

print(model.summary())

model.fit(X_train, y_train, epochs=1, verbose=1)

and this is what i get when i run the cell

Model: "sequential_9"
_________________________________________________________________
 Layer (type)                Output Shape              Param #   
=================================================================
 lstm_27 (LSTM)              (None, 523, 512)          1052672   
                                                                 
 lstm_28 (LSTM)              (None, 523, 128)          328192    
                                                                 
 lstm_29 (LSTM)              (None, 523, 64)           49408     
                                                                 
=================================================================
Total params: 1,430,272
Trainable params: 1,430,272
Non-trainable params: 0
_________________________________________________________________
None
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-44-fc8e0b2a4cd4> in <module>()
     13 print(model.summary())
     14 
---> 15 model.fit(X_train, y_train, epochs=1, verbose=1)

1 frames
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/func_graph.py in autograph_handler(*args, **kwargs)
   1145           except Exception as e:  # pylint:disable=broad-except
   1146             if hasattr(e, "ag_error_metadata"):
-> 1147               raise e.ag_error_metadata.to_exception(e)
   1148             else:
   1149               raise

ValueError: in user code:

    File "/usr/local/lib/python3.7/dist-packages/keras/engine/training.py", line 1021, in train_function  *
        return step_function(self, iterator)
    File "/usr/local/lib/python3.7/dist-packages/keras/engine/training.py", line 1010, in step_function  **
        outputs = model.distribute_strategy.run(run_step, args=(data,))
    File "/usr/local/lib/python3.7/dist-packages/keras/engine/training.py", line 1000, in run_step  **
        outputs = model.train_step(data)
    File "/usr/local/lib/python3.7/dist-packages/keras/engine/training.py", line 860, in train_step
        loss = self.compute_loss(x, y, y_pred, sample_weight)
    File "/usr/local/lib/python3.7/dist-packages/keras/engine/training.py", line 919, in compute_loss
        y, y_pred, sample_weight, regularization_losses=self.losses)
    File "/usr/local/lib/python3.7/dist-packages/keras/engine/compile_utils.py", line 184, in __call__
        self.build(y_pred)
    File "/usr/local/lib/python3.7/dist-packages/keras/engine/compile_utils.py", line 133, in build
        self._losses = tf.nest.map_structure(self._get_loss_object, self._losses)
    File "/usr/local/lib/python3.7/dist-packages/keras/engine/compile_utils.py", line 272, in _get_loss_object
        loss = losses_mod.get(loss)
    File "/usr/local/lib/python3.7/dist-packages/keras/losses.py", line 2369, in get
        return deserialize(identifier)
    File "/usr/local/lib/python3.7/dist-packages/keras/losses.py", line 2328, in deserialize
        printable_module_name='loss function')
    File "/usr/local/lib/python3.7/dist-packages/keras/utils/generic_utils.py", line 710, in deserialize_keras_object
        f'Unknown {printable_module_name}: {object_name}. Please ensure '

    ValueError: Unknown loss function: cosine_proximity. Please ensure this object is passed to the `custom_objects` argument. See https://www.tensorflow.org/guide/keras/save_and_serialize#registering_the_custom_object for details.

any help pls in order to fix this problem ???