'SGD' object has no attribute 'get_updates'

[beingSherlock]

AttributeError Traceback (most recent call last) in 1 # train weights (output layers or 'heads') ----> 2 model.train(dataset_train, dataset_train, learning_rate=0.001, epochs=5, layers='heads')

~\Downloads\Mask-R-CNN-using-Tensorflow2-main\mrcnn\model.py in train(self, train_dataset, val_dataset, learning_rate, epochs, layers, augmentation, custom_callbacks, no_augmentation_sources) 2367 workers = multiprocessing.cpu_count() 2368 -> 2369 self.keras_model.fit( 2370 train_generator, 2371 initial_epoch=self.epoch,

~\AppData\Roaming\Python\Python38\site-packages\keras\engine\training_v1.py in fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_freq, max_queue_size, workers, use_multiprocessing, **kwargs) 854 855 func = self._select_training_loop(x) --> 856 return func.fit( 857 self, 858 x=x,

~\AppData\Roaming\Python\Python38\site-packages\keras\engine\training_generator_v1.py in fit(self, model, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_freq, max_queue_size, workers, use_multiprocessing) 645 y, sample_weight, validation_split=validation_split 646 ) --> 647 return fit_generator( 648 model, 649 x,

~\AppData\Roaming\Python\Python38\site-packages\keras\engine\training_generator_v1.py in model_iteration(model, data, steps_per_epoch, epochs, verbose, callbacks, validation_data, validation_steps, validation_freq, class_weight, max_queue_size, workers, use_multiprocessing, shuffle, initial_epoch, mode, batch_size, steps_name, **kwargs) 280 281 is_deferred = not model._is_compiled --> 282 batch_outs = batch_function(*batch_data) 283 if not isinstance(batch_outs, list): 284 batch_outs = [batch_outs]

~\AppData\Roaming\Python\Python38\site-packages\keras\engine\training_v1.py in train_on_batch(self, x, y, sample_weight, class_weight, reset_metrics) 1178 1179 self._update_sample_weight_modes(sample_weights=sample_weights) -> 1180 self._make_train_function() 1181 outputs = self.train_function(ins) 1182

~\AppData\Roaming\Python\Python38\site-packages\keras\engine\training_v1.py in _make_train_function(self) 2282 with backend.name_scope("training"): 2283 # Training updates -> 2284 updates = self.optimizer.get_updates( 2285 params=self._collected_trainable_weights, 2286 loss=self.total_loss,

AttributeError: 'SGD' object has no attribute 'get_updates'

I'm new to Machine Learning please help me with this error.

[darwinOne]

@beingSherlock You must upgrade Tensorflow to version 2.5x or above. Its work for me.

[beingSherlock]

Ok thanks for the help. Had to change some things on system files, it worked fine after that.

[RomanProkazov]

@beingSherlock Which things did you change on system files? Upgrading to tensorflow 2.5 is not a solution for me, because it is gonna be incompatable with other packages in my environment. I use tensorflow 2.12.0, facing the same issue.

[ShSi1001]

@beingSherlock can you tell what exactly did you change?

[akshayr5705]

I had the same error . i've done some changes in the model.py file inside the mrcnn folder worked for me.

specifically i changed the line

2168-> optimizer = tf.keras.optimizers.SGD(....) to

2168-> optimizer = tf.keras.optimizers.legacy.SGD(...)

[arabinda90]

Ok thanks for the help. Had to change some things on system files, it worked fine after that.

@beingSherlock Can you please tell me what actually needs to change?

[amitkm10]

Can you please tell me what exactly need to do in the code or configuration

[kanzajamil]

@beingSherlock how you resolved it? I am getting the same error and tf.keras.optimizers.legacy.SGD is not working for me! also I'm using version 2.14.0 . Please help anyone who resolved it using version 2.14.0.