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I tried running all your example on 8 Nvidia V100 however I get this error across all of them:
File "/opt/conda/lib/python3.5/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/opt/conda/lib/python3.5/copy.py", line 297, in _reconstruct
state = deepcopy(state, memo)
File "/opt/conda/lib/python3.5/copy.py", line 155, in deepcopy
y = copier(x, memo)
File "/opt/conda/lib/python3.5/copy.py", line 243, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/opt/conda/lib/python3.5/copy.py", line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File "/opt/conda/lib/python3.5/copy.py", line 306, in _reconstruct
y.__dict__.update(state)
AttributeError: 'NoneType' object has no attribute 'update'
This is in a docker environment with the following versions:
**
Tensorflow 1.4.0
Keras 2.1.2
Python 3.5.4
CUDA 9.0
**
Could this be version compatibility or GPU device compatibility? Thanks for any pointers.
The text was updated successfully, but these errors were encountered:
Nqabz
changed the title
tensorflow multigpu
tensorflow : 'NoneType' object has no attribute 'update'
Dec 3, 2017
This issue also appears to me when I have two models sharing layers - one for prediction, one for training (with CTC loss and auxiliary inputs). ModelCheckpoint is saving from the training model.
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I tried running all your example on 8 Nvidia V100 however I get this error across all of them:
This is in a docker environment with the following versions:
**
**
Could this be version compatibility or GPU device compatibility? Thanks for any pointers.
The text was updated successfully, but these errors were encountered: