message: [TFLite] Update README to reflect current state
diff: -# Experimental code for the new TF-Lite convertor, and MLIR dialects and utilities for TensorFlow Lite.
  +# The new [MLIR](https://github.com/llvm/llvm-project/tree/master/mlir) based
  +TensorFlow to TensorFlow Lite converter
  This directory contains:
  -1. Experimental code for the new TF-Lite convertor.
  -2. Code for the TF-lite dialect [MLIR](https://github.com/tensorflow/mlir).
  +1. MLIR dialects, transformation passes and utilities for TensorFlow Lite.
  ## API:
  @@ -11,7 +11,8 @@ The API for converting TensorFlow models to TensorFlow Lite will be through
  `tf.lite.TFLiteConverter`. All the conversion code is open sourced, and
  the API will be integrated soon.
  -### The conversion process from TensorFlow to TensorFlow Lite includes the following major passes:
  +### The conversion process from TensorFlow to TensorFlow Lite includes the
  +following major passes:
  - Import from GraphDef, in .pb or .pbtxt format, into MLIR.
  - Raise to Control-flow-graph. Converts TF Control Flow dialect to TF dialect.
  @@ -28,3 +29,6 @@ TensorFlow Lite models).
  - The Export pass writes out TensorFlow Lite FlatBuffer format. This pass
  operates on MLIR TensorFlow Lite dialect and is simple/direct translation.
  +See https://github.com/tensorflow/tensorflow/blob/master/tensorflow/compiler/mlir/lite/tf_tfl_passes.cc
  +for the full list of MLIR passes for conversion from TensorFlow to
  +TensorFlow Lite.
  