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Model Optimizer supports loading frozen or non-frozen models
python3 mo_tf.py --input_model <INPUT_MODEL>.pb
python3 mo_tf.py --input_model <INFERENCE_GRAPH>.pb --input_checkpoint <INPUT_CHECKPOINT>
My question is what is the difference between each other, will it impact the accuracy or inference time ?
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Dear Junyi,
it will not impact accuracy or performance time. It only allows easing the user experience in the TF mode importation. Before, you would have to freeze yourself the model with a TF script. Now, it is included.
Best,
Severine
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Dear Junyi,
it will not impact accuracy or performance time. It only allows easing the user experience in the TF mode importation. Before, you would have to freeze yourself the model with a TF script. Now, it is included.
Best,
Severine
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