- paddle. mode ( x, axis=- 1, keepdim=False, name=None )
Used to find values and indices of the modes at the optional axis.
x (Tensor) – Tensor, an input N-D Tensor with type float32, float64, int32, int64.
axis (int, optional) – Axis to compute indices along. The effective range is [-R, R), where R is x.ndim. when axis < 0, it works the same way as axis + R. Default is -1.
keepdim (bool, optional) – Whether to keep the given axis in output. If it is True, the dimensions will be same as input x and with size one in the axis. Otherwise the output dimentions is one fewer than x since the axis is squeezed. Default is False.
name (str, optional) – For details, please refer to Name. Generally, no setting is required. Default: None.
tuple(Tensor), return the values and indices. The value data type is the same as the input x. The indices data type is int64.
import paddle tensor = paddle.to_tensor([[[1,2,2],[2,3,3]],[[0,5,5],[9,9,0]]], dtype=paddle.float32) res = paddle.mode(tensor, 2) print(res) # (Tensor(shape=[2, 2], dtype=float32, place=CUDAPlace(0), stop_gradient=True, # [[2., 3.], # [5., 9.]]), Tensor(shape=[2, 2], dtype=int64, place=CUDAPlace(0), stop_gradient=True, # [[1, 1], # [1, 0]]))