
    "h5                       d dl mZ ddlmZ ddlmZ ddlmZ d9dZd9dZej                  ed	               Z
ej                  e ej                  d
      d                      Zej                  e ej                  d      d:d                     Zej                  ed               Zed        Zed        Zed        Zed        Zed        Zed        Zed        Zej                  e ej,                  ddd      d;d                     Zej                  e ej,                  dd      d<d                     Zed         Zed!        Zed"        Zed#        Zej                  e ej,                  d$dd      d;d%                     Zej                  e ej,                  d&d      d<d'                     Zed(        Zej                  e ej,                  d)      d=d*                     Z ed+        Z!ej                  ejD                   ej,                  d,      d>d-                     Z#ej                  e ejH                  d.      d?d/                     Z%ed0        Z&ej                  e ejH                  d1      d?d2                     Z'ed@d3       Z(edAd4       Z)ej                  edejT                  fdBd5              Z+d6 Z,ej                  edCd7              Z-ed8        Z.y)D    )annotations   )jit   )core)mathc                r    d}| j                   }|dkD  r|dz  }|dz  }|dkD  rt        j                  |      S )Nr   r   valuer   	constexpr)ilog2ns      U/var/www/html/sandstorm/venv/lib/python3.12/site-packages/triton/language/standard.py_log2r   
   sC    D	A
a%	a	 a% >>$    c                d    | j                   }t        j                  ||dz
  z  dk(  xr |dk7        S )Nr   r   r
   )r   r   s     r   _is_power_of_twor      s0    	A>>1A;1,7a88r   c                    | |z   dz
  |z  S )z
    Computes the ceiling division of :code:`x` by :code:`div`

    :param x: the input number
    :type x: Block
    :param div: the divisor
    :type div: Block
    r    )xdivs     r   cdivr      s     GaKCr   sigmoidc                :    ddt        j                  |        z   z  S )Nr   )r   expr   s    r   r   r   +   s     DHHaRL !!r   softmaxc                    | t        | d      z
  }t        j                  |      }t        |d      }t        j                  |||      S )Nr   )maxr   r   sumfdiv)r   ieee_roundingznumdens        r   r   r   2   s>     	
C1IA
((1+C
c1+C99S#}--r   c                H    t        j                  | | j                  gd      S )zn
    Returns a contiguous flattened view of :code:`x`.

    :param x: the input tensor
    :type x: Block
    T)can_reorder)r   reshapenumelr   s    r   ravelr+   <   s     <<AGG9$77r   c                    | |z  |z   }||z  }||z  }||z  }t        j                  ||z
  |      }||z  }|||z  z   }	||z  }
|	|
fS )a  
    Transforms the indices of a row-major `size_i * size_j` matrix into
    the indices of a column-major matrix for each group of `size_g` rows.

    For example, for :code:`size_i = size_j = 4` and :code:`size_g = 2`, it will
    transform ::

        [[0 , 1 , 2 , 3 ],
         [4 , 5 , 6 , 7 ],
         [8 , 9 , 10, 11],
         [12, 13, 14, 15]]

    into ::

        [[0, 2,  4 , 6 ],
         [1, 3,  5 , 7 ],
         [8, 10, 12, 14],
         [9, 11, 13, 15]]
    r   minimum)r   jsize_isize_jsize_gijsize_gjgroup_idoff_inew_inew_js              r   	swizzle2dr9   H   sm    , 
VaB voGW}HvE\\&5.&1F	gBBKE&LE%<r   c                0    t        j                  | d|      S )a'  
    Returns a tensor filled with the scalar value 0 for the given :code:`shape` and :code:`dtype`.

    :param shape: Shape of the new array, e.g., (8, 16) or (8, )
    :type shape: tuple of ints
    :param dtype: Data-type of the new array, e.g., :code:`tl.float16`
    :type dtype: DType
    r   )r   full)shapedtypes     r   zerosr>   p   s     99UAu%%r   c                B    t        | j                  | j                        S )z
    Returns a tensor of zeros with the same shape and type as a given tensor.

    :param input: input tensor
    :type input: Tensor
    )r>   r<   r=   )inputs    r   
zeros_likerA   }   s     ekk**r   c                    |r| |k(  xr ||k  }nd}| |kD  xs |}t        j                  || |      }t        j                  |||      }||fS NFr   where)	value1index1value2index2tie_break_lefttiegtv_reti_rets	            r   _argmax_combinerO      sY    26F?	&	CBJJr66*EJJr66*E%<r   c                     t        | |||d      S NTrO   rF   rG   rH   rI   s       r   _argmax_combine_tie_break_leftrT          66664@@r   c                     t        | |||d      S rC   rR   rS   s       r   _argmax_combine_tie_break_fastrW          66665AAr   c                .    t        j                  | |      S N)r   maximumabs     r   _elementwise_maxr_          <<1r   r[   return_indicesreturn_indices_tie_break_left)return_indices_argtie_break_argNc                z   t        j                  |       } |r<|rt        j                  | |t        |      S t        j                  | |t        |      S t        j
                  | j                  j                        t        j
                  d      k  rt        j
                  | j                  j                               r | j                  t         j                        } n@| j                  j                         sJ d       | j                  t         j                        } t        j                  | |t        |      S N	keep_dims    z"Expecting input to be integer type)r   _promote_bfloat16_to_float32_reduce_with_indicesrT   rW   r   r=   primitive_bitwidthis_floatingtofloat32is_intint32reducer_   r@   axisra   rb   rh   s        r   r    r       s    
 --e4E(,,UD:Xdmnn,,UD:Xdmnn>>%++889DNN2<NN~~ekk5578.{{))+Q-QQ+,{{5$(8INNr   zmaximum indexrJ   )rd   c                ,    t        | |d||      \  }}|S NT)ra   rb   rh   )r    r@   rt   rJ   rh   _rets         r   argmaxrz      s!     5$tSamvwHQJr   c                    |r| |k(  xr ||k  }nd}| |k  xs |}t        j                  || |      }t        j                  |||      }||fS rC   rD   )	rF   rG   rH   rI   rJ   rK   lt	value_ret	index_rets	            r   _argmin_combiner      sZ    26F?	&	CB

2vv.I

2vv.Iir   c                     t        | |||d      S rQ   r   rS   s       r   _argmin_combine_tie_break_leftr      rU   r   c                     t        | |||d      S rC   r   rS   s       r   _argmin_combine_tie_break_fastr      rX   r   c                .    t        j                  | |      S rZ   r-   r\   s     r   _elementwise_minr      r`   r   r.   c                T   t        j                  |       } |r<|rt        j                  | |t        |      S t        j                  | |t        |      S t        j
                  | j                  j                        dk  rt        j
                  | j                  j                               r | j                  t         j                        } n@| j                  j                         sJ d       | j                  t         j                        } t        j                  | |t        |      S rf   )r   rj   rk   r   r   r   r=   rl   rm   rn   ro   rp   rq   rr   r   rs   s        r   minr      s    
 --e4E(,,UD:Xdmnn,,UD:Xdmnn>>%++889B>~~ekk5578.{{))+Q-QQ+,{{5$(8INNr   zminimum indexc                ,    t        | |d||      \  }}|S rv   )r   rw   s         r   argminr      s!     TQ_ktuFAsJr   c                    | |z   S rZ   r   r\   s     r   _sum_combiner          q5Lr   r!   c                f    t        j                  |       } t        j                  | |t        |      S )Nrg   )r   rj   rr   r   )r@   rt   rh   s      r   r!   r!     s)     --e4E;;udLIFFr   c                    | |z  S rZ   r   r\   s     r   _xor_combiner     r   r   zxor sumc                    | j                   j                  }|j                         st        d      t	        j
                  | |      } t	        j                  | |t        |||      S )Nz#xor_sum only supported for integers)_builder)rh   r   
_generator)typescalarrp   
ValueErrorr   rj   rr   r   )r@   rt   rh   r   r   	scalar_tys         r   xor_sumr     sX     

!!I>??--ehGE;;udLIPXeoppr   cumsumc                d    t        j                  |       } t        j                  | |t        |      S rZ   )r   rj   associative_scanr   r@   rt   reverses      r   r   r   %  s+    
 --e4E  lGDDr   c                    | |z  S rZ   r   r\   s     r   _prod_combiner   1  r   r   cumprodc                d    t        j                  |       } t        j                  | |t        |      S rZ   )r   rj   r   r   r   s      r   r   r   6  s+    
 --e4E  mWEEr   c                   | j                   |z	  }|d|z  z  dd||z
  dz
  z  g}t        j                  | |      }t        j                  dd      d d d d f   }t        j                  t        |d|z
  z  d      d d d d d f   |      j                  |j                        }t        j                  t        ||z  d      d d d d d f   |      j                  |j                        }	t        j                  || j                        }t        j                  |	| j                        }	t        j                  | j                  j                  d      }
|j                  |
d      }|	j                  |
d      }| j                  |
d      }|t        j                  ||	kD  |k7  ||z  t        |            z  }|j                  | j                  d      S )Nr   r   r   T)bitwidthsigned)bitcast)r*   r   r)   arangebroadcast_tor!   rn   r=   r<   get_int_dtyperl   rE   rA   )r   flipr   n_dimsn_outerr<   ymaskleftrightidtypeileftirightixry   s                  r   _compare_and_swapr   B  s   gg/G$q!t^QFQJN0CDEQA;;q!T1d]+DSa$h3AtQJ?GJJ177SDc!d(A.q$z:EBEEaggNE<<agg&DLL(E)C)CDQFGGFDG)EXXfdX+F	
fd	#B
tzz4%<D0%&.*R.Q
QC66!''46((r   c                   | j                   |z	  }t        j                  ||k         |dk(  re|d|dz
  |z
  z  z  dd|z  g}t        j                  t        j                  t        j
                  dd      ddddf   |      | j                        }n|}t        j                  |      D ]  }t        | ||||z
  z   |      }  | S )zb
    order_type 0 == ascending
    order_type 1 == descending
    order_type 2 == alternating
    r   r   r   N)	r*   r   static_assertr)   r   r   r<   static_ranger   )r   stageorderr   r   r<   r   r   s           r   _bitonic_merger   V  s      gg/Gu' z!(1vzE/A+B!BAq%x P||D--dkk!Q.?a.NPUVXYX_X_`u% EaqFUN';VDEHr   c                2   |t        | j                        dz
  n|}t        j                  |t        | j                        dz
  k(  d       t	        | j                  |         }t        j
                  d|dz         D ]  }t        | |||k  rdn||      }  | S )a  
    Sorts a tensor along a specified dimension.

    :param x: The input tensor to be sorted.
    :type x: Tensor
    :param dim: The dimension along which to sort the tensor. If None, the tensor is sorted along the last dimension. Currently, only sorting along the last dimension is supported.
    :type dim: int, optional
    :param descending: If set to True, the tensor is sorted in descending order. If set to False, the tensor is sorted in ascending order.
    :type descending: bool, optional
    r   z+only minor dimension is currently supportedr   )lenr<   r   r   r   r   r   )r   dim
descending_dimr   r   s         r   sortr   o  s     03{3qww<!+Dts177|a//1^_"1774=1Fq&1*- J1aa&jj&IJHr   c                    t        j                  |       } t        j                  |      }| t        |      dz
  } | t        |      dz
  k(  sJ d       t        j                  |       S )Nr   z2Currently only support flipping the last dimension)r   _unwrap_if_constexprr   r   )r   r<   s     r   _get_flip_dimr     s_    

#
#C
(C%%e,E
{%j1n#e*q. V"VV >>#r   c           	     x   t        j                  t        | j                  t	        || j                                        t        j                  t        | j
                               t        | j
                        }t        | j
                        t        | j                  t	        || j                                 z
  }t        j                  | dg|z        }t        j                  ||      }t        j                  dd      dddf   dt        j                  dd      z
  k(  }t        j                  ||      D ][  }|}t        j                  d|dz         D ]'  }||k7  s	||dz   k7  st        j                  ||      }) t        ||z  |dz   d      }] t        j                  || j                        } | S )z
    Flips a tensor `x` along the dimension `dim`.

    :param x: the first input tensor
    :type x: Block
    :param dim: the dimension to flip along (currently only final dimension supported)
    :type dim: int
    r   r   Nr   Trg   )r   r   r   r<   r   r*   r   r)   expand_dimsr   r   r!   )	r   r   stepsstartr   r   r   flip2r/   s	            r   r   r     sk    	'c1770K(LMN'01 "!''NE!!''NU177=agg;V3W-XXEQe$AE"AKK1ag&!dkk!Q.?*??Due, 2""1eai0 	3AAv!q1u*((2	3 E	1q5D12 	Q AHr   c                    t        j                  | |      }t        |j                        dk(  r|S t        j                  ||j                  dd d|j                  d   z  gz         S )a7  
    Interleaves the values of two tensors along their last dimension. The two tensors must have the same shape.
    Equivalent to `tl.join(a, b).reshape(a.shape[:-1] + [2 * a.shape[-1]])`

    :param a: The first input tensor.
    :type a: Tensor
    :param b: The second input tensor.
    :type b: Tensor
    r   Nr   )r   joinr   r<   r)   )r]   r^   cs      r   
interleaver     sY     			!QA
177|q
 ||Aqwws|q1772;.??@@r   )r   core.constexpr)F)NFTF)TFrC   )NFNN)r   F)r   r   r   r   )r   r   r   r   r   r   )r   r   r   r   rZ   )/
__future__r   runtime.jitr    r   r   r   r   _tensor_member_fnr   _add_math_1arg_docstrr   r   r+   r9   r>   rA   rO   rT   rW   r_   _add_reduction_docstrr    rz   r   r   r   r   r   r   r   r!   r   builtinr   _add_scan_docstrr   r   r   r   r   CONSTEXPR_0r   r   r   r   r   r   r   <module>r      sd   "   
 9 	   	  I&" '  " I&. '  . 8  8 $ $N 	& 	& + +   A A B B   I:J*IKOK  O" O;KL M       A A B B   I:J*IKOK  O" O;KL M  
   E"G #  G
   I&q '  q x E !  E   y!F "  F ) )&  0 "&TEUEU   0   8 A Ar   