السلام عليكم
عند تدريب شبكه عصبيه CNN بيحصل الخطاء ده اثناء التدريب النموذج
InvalidArgumentError Traceback (most recent call last)
/tmp/ipykernel_36/2234119796.py in <cell line: 0>()
----> 1 history = keras_models.fit(train_ds,validation_data=val_ds,epochs=20)
/usr/local/lib/python3.11/dist-packages/keras/src/utils/traceback_utils.py in error_handler(*args, **kwargs)
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
/usr/local/lib/python3.11/dist-packages/tensorflow/python/eager/execute.py in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name)
57 e.message += " name: " + name
58 raise core._status_to_exception(e) from None
---> 59 except TypeError as e:
60 keras_symbolic_tensors = [x for x in inputs if _is_keras_symbolic_tensor(x)]
61 if keras_symbolic_tensors:
InvalidArgumentError: Graph execution error:
Detected at node decode_image/DecodeImage defined at (most recent call last):
<stack traces unavailable>
Detected at node decode_image/DecodeImage defined at (most recent call last):
<stack traces unavailable>
2 root error(s) found.
(0) INVALID_ARGUMENT: Input size should match (header_size + row_size * abs_height) but they differ by 2
[[{{node decode_image/DecodeImage}}]]
[[IteratorGetNext]]
[[IteratorGetNext/_4]]
(1) INVALID_ARGUMENT: Input size should match (header_size + row_size * abs_height) but they differ by 2
[[{{node decode_image/DecodeImage}}]]
[[IteratorGetNext]]
0 successful operations.
0 derived errors ignored. [Op:__inference_multi_step_on_iterator_13769]
مع العلم انا بستخدم الداله دي في تحميل البيانات
train_ds = tf.keras.utils.image_dataset_from_directory(
'/kaggle/input/dog-and-cat-classification-dataset/PetImages',
image_size=(128, 128),
batch_size=32,
labels="inferred",
label_mode="int",
validation_split=0.2,
subset="training",
seed=123,
)