rank¶
- paddle. rank ( input ) [source]
-
Returns the number of dimensions for a tensor, which is a 0-D int32 Tensor.
- Parameters
-
input (Tensor) – The input Tensor with shape of \([N_1, N_2, ..., N_k]\), the data type is arbitrary.
- Returns
-
The 0-D tensor with the dimensions of the input Tensor.
- Return type
-
Tensor, the output data type is int32.
Examples
>>> import paddle >>> input = paddle.rand((3, 100, 100)) >>> rank = paddle.rank(input) >>> print(rank.numpy()) 3