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I am running mo_tf.py to convert a .pb file to IR representation. Just after updating tensorflow from version 1.15.0 to 2.0.0, I got the following warning:
[ WARNING ]
Detected not satisfied dependencies:
tensorflow: installed: 2.0.0, required: 2.0.0
Then the program stopped with this error:
[ ERROR ] -------------------------------------------------
[ ERROR ] ----------------- INTERNAL ERROR ----------------
[ ERROR ] Unexpected exception happened.
[ ERROR ] Please contact Model Optimizer developers and forward the following information:
[ ERROR ] module 'tensorflow' has no attribute 'NodeDef'
[ ERROR ] Traceback (most recent call last):
File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\model_optimizer\mo\main.py", line 298, in main
return driver(argv)
File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\model_optimizer\mo\main.py", line 243, in driver
import mo.pipeline.tf as mo_tf
File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\model_optimizer\mo\pipeline\tf.py", line 33, in <module>
from mo.front.tf.extractor import get_tf_edges, tf_op_extractor, tf_op_extractors
File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\model_optimizer\mo\front\tf\extractor.py", line 26, in <module>
from mo.front.tf.extractors.native_tf import native_tf_node_extractor
File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\model_optimizer\mo\front\tf\extractors\native_tf.py", line 17, in <module>
from mo.front.tf.partial_infer.tf import tf_native_tf_node_infer
File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\model_optimizer\mo\front\tf\partial_infer\tf.py", line 148, in <module>
is_input: bool = False):
AttributeError: module 'tensorflow' has no attribute 'NodeDef'
[ ERROR ] ---------------- END OF BUG REPORT --------------
[ ERROR ] -------------------------------------------------
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Hi Joshua,
Thanks for reaching out. The OpenVINO toolkit does not currently support Tensorflow 2.0, please downgrade your Tensorflow version to 1.14 or 1.15.
Regards,
Jesus
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