
    sg                     :    d dl Z ddlmZ dgZd Z G d de      Zy)    N   )BaseSchedulerCubicSLc                 .    t        |t        ||             S N)maxmin)xlohis      ]/var/www/html/venv/lib/python3.12/site-packages/torch/ao/pruning/scheduler/cubic_scheduler.py_clampr   
   s    r3r1:    c                   J     e Zd ZdZ	 	 	 	 	 	 	 d fd	Zedd       Zd Z xZS )r   a  Sets the sparsity level of each parameter group to the final sl
    plus a given exponential function.

    .. math::

        s_i = s_f + (s_0 - s_f) \cdot \left( 1 - \frac{t - t_0}{n\Delta t} \right)^3

    where :math:`s_i` is the sparsity at epoch :math:`t`, :math;`s_f` is the final
    sparsity level, :math:`f(i)` is the function to be applied to the current epoch
    :math:`t`, initial epoch :math:`t_0`, and final epoch :math:`t_f`.
    :math:`\Delta t` is used to control how often the update of the sparsity level
    happens. By default,

    Args:
        sparsifier (BaseSparsifier): Wrapped sparsifier.
        init_sl (int, list): Initial level of sparsity
        init_t (int, list): Initial step, when pruning starts
        delta_t (int, list): Pruning frequency
        total_t (int, list): Total number of pruning steps
        initially_zero (bool, list): If True, sets the level of sparsity to 0
            before init_t (:math:`t_0`). Otherwise, the sparsity level before
            init_t (:math:`t_0`) is set to init_sl(:math:`s_0`)
        last_epoch (int): The index of last epoch. Default: -1.
        verbose (bool): If ``True``, prints a message to stdout for
            each update. Default: ``False``.
    c	                    || _         | j                  |      | _        | j                  |      | _        | j                  |      | _        | j                  |      | _        | j                  |      | _        t        	| !  |||       y r   )	
sparsifier_make_sure_a_listinit_slinit_tdelta_ttotal_tinitially_zerosuper__init__)
selfr   r   r   r   r   r   
last_epochverbose	__class__s
            r   r   zCubicSL.__init__*   sx     %--g6,,V4--g6--g6"44^DZ9r   c                 d    |r||k  ry|| |z
  d||z
  ||z  z  z
  dz  z  z   }t        || |      }|S )a^   "Computes the current level of sparsity.

        Based on https://arxiv.org/pdf/1710.01878.pdf

        Args:
            s_0: Initial level of sparsity, :math:`s_i`
            s_f: Target level of sparsity, :math:`s_f`
            t: Current step, :math:`t`
            t_0: Initial step, :math:`t_0`
            dt: Pruning frequency, :math:`\Delta T`
            n: Pruning steps, :math:`n`
            initially_zero: Sets the level of sparsity to 0 before t_0.
                If False, sets to s_0

        Returns:
            The sparsity level :math:`s_t` at the current step :math:`t`
        r   g      ?   )r   )s_0s_ftt_0dtnr   s_ts           r   sparsity_compute_fnzCubicSL.sparsity_compute_fn@   sM    & a#gS3Y3!c'b1f)=#=!"CCCS#s#
r   c                 n   | j                   st        j                  d       t        | j                  | j
                  | j                  | j                  | j                  | j                        D cg c]+  \  }}}}}}| j                  ||| j                  ||||      - c}}}}}}S c c}}}}}}w )NzUTo get the last sparsity level computed by the scheduler, please use `get_last_sl()`.)r!   r"   r#   r$   r%   r&   r   )_get_sl_called_within_stepwarningswarnzipr   base_slr   r   r   r   r(   r   )r   initial_sparsityfinal_sparsityinitial_epochdelta_epochinterval_epochsr   s          r   get_slzCubicSL.get_slY   s    ..MM. ru##r
 
 n .-o_m $$$"//!!- % 
 	
 
s   50B-)g        r   
   d   FF)F)	__name__
__module____qualname____doc__r   staticmethodr(   r4   __classcell__)r   s   @r   r   r      s=    < :,  0
r   )r+   base_schedulerr   __all__r   r    r   r   <module>rA      s'     ) +c
m c
r   