# Module: tf.compat.v1.mlir.experimental

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Public API for tf.mlir.experimental namespace.

## Functions

[`convert_function(...)`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/mlir/experimental/convert_function): Import a ConcreteFunction and convert it to a textual MLIR module.

[`convert_graph_def(...)`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/mlir/experimental/convert_graph_def): Import a GraphDef and convert it to a textual MLIR module.

[`convert_saved_model(...)`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/mlir/experimental/convert_saved_model): Converts a SavedModel to MLIR module.

[`convert_saved_model_v1(...)`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/mlir/experimental/convert_saved_model_v1): Converts a v1 SavedModel to MLIR module.

[`run_pass_pipeline(...)`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/mlir/experimental/run_pass_pipeline): Runs a pipeline over input module.

[`tflite_to_tosa_bytecode(...)`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/mlir/experimental/tflite_to_tosa_bytecode): Converts TFLite flatbuffer to TOSA dialect in MLIR bytecode.

[`write_bytecode(...)`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/mlir/experimental/write_bytecode): Writes an MLIR module out as bytecode.