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Checks whether x
is a TF-native type that can be passed to many TF ops.
tf.is_tensor(
x
)
Use is_tensor
to differentiate types that can ingested by TensorFlow ops
without any conversion (e.g., tf.Tensor
, tf.SparseTensor
, and
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
accessing its shape
and 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.)
Args | |
---|---|
x
|
A python object to check. |
Returns | |
---|---|
True if x is a TensorFlow-native type.
|