Неверная форма ввода для входного тензора ⇐ Python

[Anonymous]

Проект Tomato
модель строится, но отказывается обучаться. он говорит, что для input_shape задан неправильный формат, и я попробовал все, что знал. ошибка модели
Epoch 1/50
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Cell In[70], line 1
----> 1 history = model.fit(
2 train_ds,
3 epochs = EPOCHS,
4 batch_size = BATCH_SIZE,
5 verbose =1,
6 validation_data = val_ds
7 )

File /opt/conda/lib/python3.10/site-packages/keras/src/utils/traceback_utils.py:122, in filter_traceback..error_handler(*args, **kwargs)
119 filtered_tb = _process_traceback_frames(e.__traceback__)
120 # To get the full stack trace, call:
121 # `keras.config.disable_traceback_filtering()`
--> 122 raise e.with_traceback(filtered_tb) from None
123 finally:
124 del filtered_tb

File /opt/conda/lib/python3.10/site-packages/keras/src/models/functional.py:285, in Functional._adjust_input_rank(self, flat_inputs)
283 adjusted.append(ops.expand_dims(x, axis=-1))
284 continue
--> 285 raise ValueError(
286 f"Invalid input shape for input {x}. Expected shape "
287 f"{ref_shape}, but input has incompatible shape {x.shape}"
288 )
289 # Add back metadata.
290 for i in range(len(flat_inputs)):

ValueError: Exception encountered when calling Sequential.call().

Invalid input shape for input Tensor("data:0", shape=(None, 256, 256, 3), dtype=float32). Expected shape (256, 256), but input has incompatible shape (None, 256, 256, 3)

Arguments received by Sequential.call():
• inputs=tf.Tensor(shape=(None, 256, 256, 3), dtype=float32)
• training=True
• mask=None


Подробнее здесь: https://stackoverflow.com/questions/784 ... put-tensor