TensorFlow Compiler Bridge (TF Bridge) is responsible for translating parts
of TensorFlow graph into a form that can be accepted as an input by a backend
compiler such as XLA.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.config.experimental.enable_mlir_bridge\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.1.0/tensorflow/python/framework/config.py#L606-L620) |\n\nEnables experimental MLIR-Based TensorFlow Compiler Bridge.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.config.experimental.enable_mlir_bridge`](/api_docs/python/tf/config/experimental/enable_mlir_bridge)\n\n\u003cbr /\u003e\n\n tf.config.experimental.enable_mlir_bridge()\n\nDO NOT USE, DEV AND TESTING ONLY AT THE MOMENT.\n| **Note:** MLIR-Based TensorFlow Compiler is under active development and has missing features, please refrain from using. This API exists for development and testing only.\n\nTensorFlow Compiler Bridge (TF Bridge) is responsible for translating parts\nof TensorFlow graph into a form that can be accepted as an input by a backend\ncompiler such as XLA."]]
View source on GitHub