Introducing LiteRT : Google's high-performance runtime for on-device AI, formerly known as TensorFlow Lite.
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tf.lite.experimental.authoring.compatible
Wraps tf.function
into a callable function with TFLite compatibility checking.
tf . lite . experimental . authoring . compatible (
target = None , converter_target_spec = None , ** kwargs
)
Used in the notebooks
Example:
@tf . lite . experimental . authoring . compatible
@tf . function ( input_signature = [
tf . TensorSpec ( shape = [ None ], dtype = tf . float32 )
])
def f ( x ):
return tf . cosh ( x )
result = f ( tf . constant ([ 0.0 ]))
# COMPATIBILITY WARNING: op 'tf.Cosh' require(s) "Select TF Ops" for model
# conversion for TensorFlow Lite.
# Op: tf.Cosh
# - tensorflow/python/framework/op_def_library.py:748
# - tensorflow/python/ops/gen_math_ops.py:2458
# - <stdin>:6
Warning: Experimental interface, subject to change.
Args
target
A tf.function
to decorate.
converter_target_spec
target_spec of TFLite converter parameter.
**kwargs
The keyword arguments of the decorator class _Compatible.
Returns
A callable object of tf.lite.experimental.authoring._Compatible
.
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Last updated 2024-09-04 UTC.
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