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When I try to training this program using tiny yolo v3 (net_type=tiny), I got the under messages.
train.py
Instructions for updating: Use standard file APIs to check for files with this prefix. 0%| | 0/39782 [00:00<?, ?it/s]2020-08-26 16:00:13.648868: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudnn.so.7 Traceback (most recent call last): File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1356, in _do_call return fn(*args) File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1341, in _run_fn options, feed_dict, fetch_list, target_list, run_metadata) File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1429, in _call_tf_sessionrun run_metadata) tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found. (0) Invalid argument: Incompatible shapes: [2,18,18,3,4] vs. [2,36,36,3,4] [[{{node define_loss/bigger_box_loss/logistic_loss_2/mul}}]] [[define_loss/prob_loss/add/_69]] (1) Invalid argument: Incompatible shapes: [2,18,18,3,4] vs. [2,36,36,3,4] [[{{node define_loss/bigger_box_loss/logistic_loss_2/mul}}]] 0 successful operations. 0 derived errors ignored.
During handling of the above exception, another exception occurred:
Traceback (most recent call last): File "/media/sl/train.py", line 261, in YoloTrain(net_type).train() File "/media/sl/train.py", line 201, in train self.trainable: True,}) File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 950, in run run_metadata_ptr) File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1173, in _run feed_dict_tensor, options, run_metadata) File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1350, in _do_run run_metadata) File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1370, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found. (0) Invalid argument: Incompatible shapes: [2,18,18,3,4] vs. [2,36,36,3,4] [[node define_loss/bigger_box_loss/logistic_loss_2/mul (defined at media/sl/core/yolov3_tiny.py:197) ]] [[define_loss/prob_loss/add/_69]] (1) Invalid argument: Incompatible shapes: [2,18,18,3,4] vs. [2,36,36,3,4] [[node define_loss/bigger_box_loss/logistic_loss_2/mul (defined at media/sl/core/yolov3_tiny.py:197) ]] 0 successful operations. 0 derived errors ignored.
Plz check my problems
The text was updated successfully, but these errors were encountered:
I've got the same error when using "tiny"!!
Sorry, something went wrong.
Hey all, Thanks, could you mind telling which net type selecting on backbone, such as darknet53 or mobilenet?
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When I try to training this program using tiny yolo v3 (net_type=tiny), I got the under
messages.
train.py
Instructions for updating:
Use standard file APIs to check for files with this prefix.
0%| | 0/39782 [00:00<?, ?it/s]2020-08-26 16:00:13.648868: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudnn.so.7
Traceback (most recent call last):
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1356, in _do_call
return fn(*args)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1341, in _run_fn
options, feed_dict, fetch_list, target_list, run_metadata)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1429, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found.
(0) Invalid argument: Incompatible shapes: [2,18,18,3,4] vs. [2,36,36,3,4]
[[{{node define_loss/bigger_box_loss/logistic_loss_2/mul}}]]
[[define_loss/prob_loss/add/_69]]
(1) Invalid argument: Incompatible shapes: [2,18,18,3,4] vs. [2,36,36,3,4]
[[{{node define_loss/bigger_box_loss/logistic_loss_2/mul}}]]
0 successful operations.
0 derived errors ignored.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/media/sl/train.py", line 261, in
YoloTrain(net_type).train()
File "/media/sl/train.py", line 201, in train
self.trainable: True,})
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 950, in run
run_metadata_ptr)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1173, in _run
feed_dict_tensor, options, run_metadata)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1350, in _do_run
run_metadata)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1370, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found.
(0) Invalid argument: Incompatible shapes: [2,18,18,3,4] vs. [2,36,36,3,4]
[[node define_loss/bigger_box_loss/logistic_loss_2/mul (defined at media/sl/core/yolov3_tiny.py:197) ]]
[[define_loss/prob_loss/add/_69]]
(1) Invalid argument: Incompatible shapes: [2,18,18,3,4] vs. [2,36,36,3,4]
[[node define_loss/bigger_box_loss/logistic_loss_2/mul (defined at media/sl/core/yolov3_tiny.py:197) ]]
0 successful operations.
0 derived errors ignored.
Plz check my problems
The text was updated successfully, but these errors were encountered: