o
    h7                     @   s   d dl Z d dlZd dlmZ d dlmZ d dlmZ d dlmZm	Z	 d dl
mZ d dlmZmZ d dlmZ d	gZG d
d	 d	eZdS )    N)Tensor)constraints)TransformedDistribution)AffineTransformExpTransform)Uniform)broadcast_alleuler_constant)_NumberGumbelc                       s   e Zd ZdZejejdZejZd fdd	Z	d fdd	Z
dd	 Zed
efddZed
efddZed
efddZed
efddZdd Z  ZS )r   a  
    Samples from a Gumbel Distribution.

    Examples::

        >>> # xdoctest: +IGNORE_WANT("non-deterministic")
        >>> m = Gumbel(torch.tensor([1.0]), torch.tensor([2.0]))
        >>> m.sample()  # sample from Gumbel distribution with loc=1, scale=2
        tensor([ 1.0124])

    Args:
        loc (float or Tensor): Location parameter of the distribution
        scale (float or Tensor): Scale parameter of the distribution
    locscaleNc                    s   t ||\| _| _t| jj}t|tr&t|tr&t|j	d|j
 |d}ntt| j|j	t| jd|j
 |d}t jtdt| j dt jt|| j dg}t j|||d d S )N   )validate_argsr   r   )r   r   r   torchfinfodtype
isinstancer
   r   tinyeps	full_liker   invr   	ones_likesuper__init__)selfr   r   r   r   	base_dist
transforms	__class__ n/var/www/html/construction_image-detection-poc/venv/lib/python3.10/site-packages/torch/distributions/gumbel.pyr   $   s   zGumbel.__init__c                    s8   |  t|}| j||_| j||_t j||dS )N)	_instance)_get_checked_instancer   r   expandr   r   )r   batch_shaper#   newr   r!   r"   r%   7   s   zGumbel.expandc                 C   s6   | j r| | | j| | j }||  | j  S N)_validate_args_validate_sampler   r   explog)r   valueyr!   r!   r"   log_prob>   s   
zGumbel.log_probreturnc                 C   s   | j | jt  S r(   )r   r   r	   r   r!   r!   r"   meanD   s   zGumbel.meanc                 C   s   | j S r(   )r   r1   r!   r!   r"   modeH   s   zGumbel.modec                 C   s   t jt d | j S )N   )mathpisqrtr   r1   r!   r!   r"   stddevL   s   zGumbel.stddevc                 C   s   | j dS )N   )r8   powr1   r!   r!   r"   varianceP   s   zGumbel.variancec                 C   s   | j  dt  S )Nr   )r   r,   r	   r1   r!   r!   r"   entropyT   s   zGumbel.entropyr(   )__name__
__module____qualname____doc__r   realpositivearg_constraintssupportr   r%   r/   propertyr   r2   r3   r8   r;   r<   __classcell__r!   r!   r   r"   r      s     )r5   r   r   torch.distributionsr   ,torch.distributions.transformed_distributionr   torch.distributions.transformsr   r   torch.distributions.uniformr   torch.distributions.utilsr   r	   torch.typesr
   __all__r   r!   r!   r!   r"   <module>   s   