tf.rank | TensorFlow v2.16.1 (original) (raw)
tf.rank
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Returns the rank of a tensor.
View aliases
Compat aliases for migration
SeeMigration guide for more details.
tf.rank(
input, name=None
)
Used in the notebooks
| Used in the guide |
|---|
| Introduction to Tensors |
See also tf.shape.
Returns a 0-D int32 Tensor representing the rank of input.
For example:
# shape of tensor 't' is [2, 2, 3]
t = tf.constant([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]]])
tf.rank(t) # 3
| Args | |
|---|---|
| input | A Tensor or SparseTensor. |
| name | A name for the operation (optional). |
| Returns |
|---|
| A Tensor of type int32. |
numpy compatibility
Equivalent to np.ndim
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Last updated 2024-04-26 UTC.