tf.mlir.experimental.convert_saved_model_v1
Converts a v1 SavedModel to MLIR module.
tf.mlir.experimental.convert_saved_model_v1(
saved_model_path,
exported_names,
tags,
lift_variables,
include_variables_in_initializers,
upgrade_legacy=True,
show_debug_info=False
)
| Args | |
|---|---|
saved_model_path | Path to SavedModel. |
exported_names | Names to export. |
tags | MetaGraphDef to be loaded is identified by the supplied tags. |
lift_variables | Whether to promote tf.VarHandleOp to resource arguments. |
include_variables_in_initializers | Keeps the variables in initializers before lifting variables. |
upgrade_legacy | Functionalize the input graph before importing. |
show_debug_info | Whether to include locations in the emitted textual form. |
| Returns | |
|---|---|
| A textual representation of the MLIR module corresponding to the SavedModule. |
© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/mlir/experimental/convert_saved_model_v1
