Running train-pqr.sh doesn't cause any errors, the model is saved. But running eval-pqr.sh gives the error below:
I0422 13:24:17.127754 140272342116160 evaluation.py:450] Starting evaluation at 2020-04-22-11:24:17 <
2020-04-22 13:24:20.225281: W tensorflow/core/framework/op_kernel.cc:1651] OP_REQUIRES failed at spacetobatch_op.cc:219 : Invalid argument: padded_shape[1]=65 is not divisible by block_shape[1]=2
Traceback (most recent call last):
File "/home/alexandra/Desktop/ABB/DeepLab_Tensorflow/.env/lib/python3.6/site-packages/tensorflow_core/python/client/session.py", line 1365, in _do_call
return fn(*args)
File "/home/alexandra/Desktop/ABB/DeepLab_Tensorflow/.env/lib/python3.6/site-packages/tensorflow_core/python/client/session.py", line 1350, in _run_fn
target_list, run_metadata)
File "/home/alexandra/Desktop/ABB/DeepLab_Tensorflow/.env/lib/python3.6/site-packages/tensorflow_core/python/client/session.py", line 1443, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.InvalidArgumentError: padded_shape[1]=65 is not divisible by block_shape[1]=2
[[{{node xception_65/exit_flow/block2/unit_1/xception_module/separable_conv1_depthwise/depthwise/SpaceToBatchND}}]]
Before you ask, I've the same train_crop_size and eval_crop_size in the mentioned scripts.
Running train-pqr.sh doesn't cause any errors, the model is saved. But running eval-pqr.sh gives the error below:
Before you ask, I've the same train_crop_size and eval_crop_size in the mentioned scripts.