import torch


def kde(x, std=0.1):
    # use a gaussian kernel to estimate density
    x = x.half()  # Do it in half precision
    scores = (-torch.cdist(x, x) ** 2 / (2 * std**2)).exp()
    density = scores.sum(dim=-1)
    return density