ValueError: Inputs must be an iterable of at least one Tensor/IndexedSlices with the same dtype and shape. #3046
Description
ValueError Traceback (most recent call last)
in <cell line: 8>()
6
7 # Eğitim fonksiyonunu çalıştırın
----> 8 model.train(dataset_train, dataset_val,
9 learning_rate=config.LEARNING_RATE , # lr yerine learning_rate kullanılıyor
10 epochs=2,
3 frames
/content/gdrive/MyDrive/maskrcnn/maskrcnn/mrcnn/model.py in train(self, train_dataset, val_dataset, learning_rate, epochs, layers, augmentation, custom_callbacks, no_augmentation_sources)
2359 ]
2360
-> 2361 # Add custom callbacks to the list
2362 if custom_callbacks:
2363 callbacks += custom_callbacks
/content/gdrive/MyDrive/maskrcnn/maskrcnn/mrcnn/model.py in compile(self, learning_rate, momentum)
2190 for w in self.keras_model.trainable_weights
2191 if 'gamma' not in w.name and 'beta' not in w.name]
-> 2192
2193
2194
/usr/local/lib/python3.10/dist-packages/tensorflow/python/util/traceback_utils.py in error_handler(*args, **kwargs)
151 except Exception as e:
152 filtered_tb = _process_traceback_frames(e.traceback)
--> 153 raise e.with_traceback(filtered_tb) from None
154 finally:
155 del filtered_tb
/usr/local/lib/python3.10/dist-packages/tensorflow/python/ops/math_ops.py in add_n(inputs, name)
4136 """
4137 if not inputs or not isinstance(inputs, collections_abc.Iterable):
-> 4138 raise ValueError("Inputs must be an iterable of at least one "
4139 "Tensor/IndexedSlices with the same dtype and shape.")
4140 inputs = indexed_slices.convert_n_to_tensor_or_indexed_slices(inputs)
ValueError: Inputs must be an iterable of at least one Tensor/IndexedSlices with the same dtype and shape.
what is the solution?
Thanks