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Title basically says it, I have trained a model using HorovodAllToAllEmbeddings and saved by doingg:
de.keras.models.de_save_model( model, export_dir, overwrite=True, include_optimizer=False, options=save_options, signatures={ "serving_default": model.get_tf_examples_serving_signature( feature_config, integrate_transform_layer=True, rename_serving_feature_names=rename_serving_feature_names, ), "serving_common_feature": model.get_tf_examples_serving_signature( feature_config, parse_sequence_example=True, integrate_transform_layer=True, rename_serving_feature_names=rename_serving_feature_names, ), "vanilla_serving": model.get_tf_examples_serving_signature( feature_config, integrate_transform_layer=False, rename_serving_feature_names=rename_serving_feature_names, ).get_concrete_function(*args, **kwargs), }, ) if hvd.rank() == 0: tf_save.save_and_return_nodes( obj=export_model, export_dir=export_dir, options=save_options, experimental_skip_checkpoint=True, signatures={ "serving_default": export_model.get_tf_examples_serving_signature( feature_config, parse_sequence_example=False, integrate_transform_layer=True, rename_serving_feature_names=rename_serving_feature_names, ), "serving_common_feature": export_model.get_tf_examples_serving_signature( feature_config, parse_sequence_example=True, integrate_transform_layer=True, rename_serving_feature_names=rename_serving_feature_names, ), "vanilla_serving": export_model.get_tf_examples_serving_signature( feature_config, integrate_transform_layer=False, rename_serving_feature_names=rename_serving_feature_names, ).get_concrete_function(*args, **kwargs), }, ) ``` But I still end up with HorovodAlltoAll ops in the savedModel graph (which cant run at inference)
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Title basically says it, I have trained a model using HorovodAllToAllEmbeddings and saved by doingg:
The text was updated successfully, but these errors were encountered: