tf.compat.v1.lite.experimental.convert_op_hints_to

Returns operations potentially supported by TensorFlow Lite.

tf.compat.v1.lite.experimental.get_potentially_supported_ops()

The potentially support list contains a list of ops that are partially or fully supported, which is derived by simply scanning op names to check whether they can be handled without real conversion and specific parameters.

Given that some ops may be partially supported, the optimal way to determine if a model's operations are supported is by converting using the TensorFlow Lite converter.

Returns
A list of SupportedOp.

TensorFlow

tf

tf.audio

tf.autograph

tf.bitwise

tf.compat

tf.config

tf.data

tf.debugging

tf.distribute

tf.dtypes

tf.errors

tf.estimator

tf.experimental

tf.feature_column

tf.graph_util

tf.image

tf.initializers

tf.io

tf.keras

tf.linalg

tf.lite

tf.lookup

tf.losses

tf.math

tf.metrics

tf.nest

tf.nn

tf.optimizers

tf.quantization

tf.queue

tf.ragged

tf.random

tf.raw_ops

tf.saved_model

tf.sets

tf.signal

tf.sparse

tf.strings

tf.summary

tf.sysconfig

tf.test

tf.tpu

tf.train

tf.version

tf.xla

tf.compat / v1 / v1.lite.experimental.convert_op_hints_to_stubs

Returns