mlx.nn.losses.kl_div_loss#

class kl_div_loss(inputs: array, targets: array, axis: int = -1, reduction: Literal['none', 'mean', 'sum'] = 'none')#

Computes the Kullback-Leibler divergence loss.

Computes the following when reduction == 'none':

mx.exp(targets) * (targets - inputs).sum(axis)

参数:

inputs (array) -- Log probabilities for the predicted distribution.
targets (array) -- Log probabilities for the target distribution.
axis (int, optional) -- The distribution axis. Default: -1.
reduction (str, optional) -- Specifies the reduction to apply to the output: 'none' | 'mean' | 'sum'. Default: 'none'.

返回:

The computed Kullback-Leibler divergence loss.

返回类型:

array

mlx.nn.losses.kl_div_loss