Error while attempting to train a new model
HuangHuijuan opened this issue · comments
I met a problem when I attempted to train a new model. I have no idea where the error comes from. Here is the error message. Thanks!
Traceback (most recent call last):
File "train.py", line 97, in
image_summaries=True))
File "/usr/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 302, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "/usr/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 783, in _train_model
_, loss = mon_sess.run([estimator_spec.train_op, estimator_spec.loss])
File "/usr/lib/python3.6/site-packages/tensorflow/python/training/monitored_session.py", line 537, in exit
self._close_internal(exception_type)
File "/usr/lib/python3.6/site-packages/tensorflow/python/training/monitored_session.py", line 574, in _close_internal
self._sess.close()
File "/usr/lib/python3.6/site-packages/tensorflow/python/training/monitored_session.py", line 820, in close
self._sess.close()
File "/usr/lib/python3.6/site-packages/tensorflow/python/training/monitored_session.py", line 941, in close
ignore_live_threads=True)
File "/usr/lib/python3.6/site-packages/tensorflow/python/training/coordinator.py", line 389, in join
six.reraise(*self._exc_info_to_raise)
File "/usr/lib/python3.6/site-packages/six.py", line 685, in reraise
raise value.with_traceback(tb)
File "/usr/lib/python3.6/site-packages/tensorflow/python/training/queue_runner_impl.py", line 238, in _run
enqueue_callable()
File "/usr/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1231, in _single_operation_run
target_list_as_strings, status, None)
File "/usr/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py", line 473, in exit
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: paddings must be less than the dimension size: 4, 2 not less than 2
[[Node: DataAugmentation/random_padding = MirrorPad[T=DT_UINT8, Tpaddings=DT_INT32, mode="REFLECT", _device="/job:localhost/replica:0/task:0/device:CPU:0"](image_decoding/Merge, DataAugmentation/random_padding/paddings)]]
Have you managed to solve this problem? I also have this kind of issue.
I also have this problem. How do you solve it?