Merge pull request #26067 from margaretmz:patch-1
PiperOrigin-RevId: 249769208
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				| @ -402,8 +402,8 @@ class TFLiteConverterV2(TFLiteConverterBase): | ||||
| class TFLiteConverter(TFLiteConverterBase): | ||||
|   """Convert a TensorFlow model into `output_format`. | ||||
| 
 | ||||
|   This is used to convert from a TensorFlow GraphDef or SavedModel into either a | ||||
|   TFLite FlatBuffer or graph visualization. | ||||
|   This is used to convert from a TensorFlow GraphDef, SavedModel or tf.keras | ||||
|   model into either a TFLite FlatBuffer or graph visualization. | ||||
| 
 | ||||
|   Attributes: | ||||
|     inference_type: Target data type of real-number arrays in the output file. | ||||
| @ -490,10 +490,12 @@ class TFLiteConverter(TFLiteConverterBase): | ||||
|     # Converting a SavedModel. | ||||
|     converter = lite.TFLiteConverter.from_saved_model(saved_model_dir) | ||||
|     tflite_model = converter.convert() | ||||
|     open("converted_model.tflite", "wb").write(tflite_model) | ||||
| 
 | ||||
|     # Converting a tf.keras model. | ||||
|     converter = lite.TFLiteConverter.from_keras_model_file(keras_model) | ||||
|     tflite_model = converter.convert() | ||||
|     open("converted_model.tflite", "wb").write(tflite_model) | ||||
|     ``` | ||||
|   """ | ||||
| 
 | ||||
|  | ||||
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