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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.dtype
we check to make sure that t
is a tensor (and convert it if not) before accessing its shape
and dtype
.
Args | |
---|---|
x | A python object to check. |
Returns | |
---|---|
True if x is a tensor or "tensor-like", False if not. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/is_tensor