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将CNN模型从tf1.x转换为tf2.0,但是当我使用此转换后的模型时,却出现了错误:
tf_upgrade_v2
在File "/home/hsw/virtual_env/tf2.0/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 2492, in default_variable_creator
import_scope=import_scope, distribute_strategy=distribute_strategy)
File "/home/hsw/virtual_env/tf2.0/lib/python3.6/site-packages/tensorflow/python/ops/variables.py", line 216, in __call__
return super(VariableMetaclass, cls).__call__(*args, **kwargs)
File "/home/hsw/virtual_env/tf2.0/lib/python3.6/site-packages/tensorflow/python/ops/resource_variable_ops.py", line 422, in __init__
constraint=constraint)
File "/home/hsw/virtual_env/tf2.0/lib/python3.6/site-packages/tensorflow/python/ops/resource_variable_ops.py", line 545, in _init_from_args
initial_value() if init_from_fn else initial_value,
File "/home/hsw/virtual_env/tf2.0/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 886, in <lambda>
shape.as_list(), dtype=dtype, partition_info=partition_info)
TypeError: __call__() got an unexpected keyword argument 'partition_info'
中似乎出了点问题,而转换后的模型是这样的:
variables.py
应如何解决此问题?
答案 0 :(得分:0)
这是一个错误,已经在github上提交了。参见其中的讨论:https://github.com/tensorflow/tensorflow/issues/26665#issuecomment-472950222