- paddle. quantile ( x, q, axis=None, keepdim=False )
Compute the quantile of the input along the specified axis.
x (Tensor) – The input Tensor, it’s data type can be float32, float64.
q (int|float|list) – The q for calculate quantile, which should be in range [0, 1]. If q is a list, each q will be calculated and the first dimension of output is same to the number of
axis (int|list, optional) – The axis along which to calculate quantile.
axisshould be int or list of int.
axisshould be in range [-D, D), where D is the dimensions of
axisis less than 0, it works the same way as \(axis + D\). If
axisis a list, quantile is calculated over all elements of given axises. If
axisis None, quantile is calculated over all elements of
x. Default is None.
keepdim (bool, optional) – Whether to reserve the reduced dimension(s) in the output Tensor. If
keepdimis True, the dimensions of the output Tensor is the same as
xexcept in the reduced dimensions(it is of size 1 in this case). Otherwise, the shape of the output Tensor is squeezed in
axis. Default is False.
name (str, optional) – Name for the operation (optional, default is None). For more information, please refer to Name.
Tensor, results of quantile along
x. If data type of
xis float64, data type of results will be float64, otherwise data type will be float32.
import paddle x = paddle.randn((2,3)) #[[-1.28740597, 0.49533170, -1.00698614], # [-1.11656201, -1.01010525, -2.23457789]]) y1 = paddle.quantile(x, q=0.5, axis=[0, 1]) # y1 = -1.06333363 y2 = paddle.quantile(x, q=0.5, axis=1) # y2 = [-1.00698614, -1.11656201] y3 = paddle.quantile(x, q=[0.3, 0.5], axis=1) # y3 =[[-1.11915410, -1.56376839], # [-1.00698614, -1.11656201]] y4 = paddle.quantile(x, q=0.8, axis=1, keepdim=True) # y4 = [[-0.10559537], # [-1.05268800]])