TensorFlow 2 version | View source on GitHub |
Returns the rank of a tensor.
tf.rank(
input, name=None
)
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