|TensorFlow 1 version||View source on GitHub|
x is a TF-native type that can be passed to many TF ops.
Compat aliases for migration
See Migration guide for more details.
tf.is_tensor( x )
is_tensor to differentiate types that can ingested by TensorFlow ops
without any conversion (e.g.,
tf.RaggedTensor) from types that need to be converted into tensors before
they are ingested (e.g., numpy
ndarray and Python scalars).
For example, in the following code block:
if not tf.is_tensor(t): t = tf.convert_to_tensor(t) return t.shape, t.dtype
we check to make sure that
t is a tensor (and convert it if not) before
dtype. (But note that not all TensorFlow native
types have shapes or dtypes;
tf.data.Dataset is an example of a TensorFlow
native type that has neither shape nor dtype.)
||A python object to check.|