This function is deprecated. Please use tf.lite.TFLiteConverter API instead.
Conversion can be customized by providing arguments that are forwarded to
build_model_flags and build_conversion_flags (see documentation for
details).
Args:
input_data: Input data (i.e. often sess.graph_def).
input_tensors: List of input tensors. Type and shape are computed using
foo.shape and foo.dtype.
output_tensors: List of output tensors (only .name is used from this).
*args: See build_model_flags and build_conversion_flags.
**kwargs: See build_model_flags and build_conversion_flags.
Returns
The converted TensorFlow Lite model in a bytes array.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-01-23 UTC."],[],[]]
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