tf.is_tensor

TensorFlow 1 version

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Checks whether x is a TF-native type that can be passed to many TF ops.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.is_tensor

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.

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tf / is_tensor

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Args

Returns