o
    hG                  	   @   s  d dl Z d dlZd dlm  mZ d dlmZmZm	Z	m
Z
mZmZmZ d dlmZmZmZ e jejddZdd Zede
d	d
dejdkdejfddZede
d	d
dejdkdejfddZede
d	d	d
ejdldejfddZede
d	d	d
d
ejdkdejfddZedejdkdejfddZedej	dkdejfddZ edej	dkdejfd d!Z!ed"e
d	d	d
d
ej	dkdejfd#d$Z"ed%e
d	d
d
ejdmdejfd&d'Z#ed(ejdkdejfd)d*Z$ed+e
d	d	d	d
ejdndejfd,d-Z%ed.e
d	d	d	d
d
d
ej	/	0dodejfd1d2Z&ed3e
d	d	d	d
d
ej	/	0dodejfd4d5Z'ejd6d7 Z(ed8ed9d:gd;ejd<d= Z)ed>ejdejfd?d@Z*edAe
d	d
d
d
ejdkdejfdBdCZ+edDejdejfdEdFZ,edGej	dpdejfdHdIZ-edJe
d	d
d
d
ejdejfdKdLZ.edMejdejfdNdOZ/edPejdejfdQdRZ0edSejdejfdTdUZ1edVejdejfdWdXZ2edYejdejfdZd[Z3ed\ejdejfd]d^Z4ed_ejdejfd`daZ5edbejdejfdcddZ6edeejdejfdfdgZ7edhejdejfdidjZ8dS )q    N)
_constants_type_utilserrorssymbolic_helpersymbolic_opset11symbolic_opset9utils)	_beartype	jit_utilsregistration   )opsetc                     s    fdd}|S )z_Returns a decorator that calls the decorated (higher-order) function with the given parameters.c                    s   |  i S N )fnargskwargsr   Q/var/www/html/ai/venv/lib/python3.10/site-packages/torch/onnx/symbolic_opset13.py_apply   s   z_apply_params.<locals>._applyr   )r   r   r   r   r   r   _apply_params   s   r   zaten::softmaxvinonegc                 C   P   | j d||d}|r&|  dkr&t|dd}| j d|t| d}|S )NSoftmaxaxis_iprim::Constantr   dtypeCastto_iopnodekindr   
_get_constr   JitScalarType	onnx_type)r   inputdimr    softmaxparsed_dtyper   r   r   r-   !   s   r-   zaten::log_softmaxc                 C   r   )N
LogSoftmaxr   r   r   r    r!   r"   r$   )r   r+   r,   r    	return_opr.   r   r   r   log_softmax/   s   r1   zaten::frobenius_normFc                 C   s^   t |d}t |st|dkr| jd|ddS | d||}t j| |||d}| d|S )Nisr   ReduceL2
keepdims_iMulSqrt)r   _maybe_get_const	_is_valuelenr%   _reducesum_helper)r   selfr,   keepdimdim_valsqrsumsqrr   r   r   frobenius_norm<   s   rA   zaten::splitc              
      s  t ||sy jd|||d|d u rS t |rmtt ||krm fddt |D } jdtjdgtjdd} jdtj|gtjdd}g }t	|D ]}	 d	|||	 }
|
 d
|||
| |
}qQ|S  fddt	|D S t | d}| dkr jd||||dS t |dd}t ||}|d u r|d ur|| }ntd||g||  }|| }|r|
|  jdt|d} jd||||dS )NSplitToSequencer   c                    s   g | ]
}t  |d gqS )r   )r   _unsqueeze_helper).0r   )r   r   r   
<listcomp>U   s    zsplit.<locals>.<listcomp>Constantr   r    value_tAddSlicec                    s2   g | ]}  d  j dtj|gtjddqS )
SequenceAtrF   rG   rH   r%   torchtensorlong)rD   r   r   	split_outr   r   rE   d   s    valueSplitr   outputsr   
split_size$Unknown dimension size not supported)r   _is_split_staticr%   _is_packed_listr:   _unpack_listrN   rO   rP   rangeappend	_node_getr&   r,   r(   _get_tensor_dim_sizer   SymbolicValueError)r   r<   split_size_or_sizesr,   _outputssplit_sizesstartaxisresr   end	split_valrW   sizesplitsleftoverr   rQ   r   splitH   sP   

	

rl   zaten::split_with_sizesc                 C      t | ||||S r   rl   r   r<   rc   r,   rb   r   r   r   split_with_sizes   s   rp   zaten::unsafe_splitc                 C   rm   r   rn   )r   r<   ra   r,   rb   r   r   r   unsafe_split      rq   zaten::unsafe_split_with_sizesc                 C   rm   r   )rp   ro   r   r   r   unsafe_split_with_sizes   rr   rs   zaten::tensor_splitc           "      C   s  | j dtj|tjdd}t| |d}| j dtjdtjdd}t||rt|	 d}|
 dkr| j dtjdgtjdd}g }	|d usKJ t|d D ]%}
| j d|| j dtj|
gtjdddd}|	|  d	|||| |}qQt| ||}|	|  d	|||| |	S t|d
d}t||}|d u r|d ur|| }ntd||| }|| }||d g }|| |g }| j dtj|| tjdd}| j d||||dS t|rt|dkrt| || j dtdd}t| |d}| j d|tjjd}| j dtjdgtjdd}| j d||dd}|  d}tj| d|||ddd\}\}}|j}t|}t|}t|}|j d||dd}|j d|| d||dd}| d	||||}| d||}| d|}t|| t|| |	  }| j d|| j dtjdtjdddd}t| |d}t| ||}|  d	||||}|  d||S t| ||} |  d| |}|  d||}!|  d| |}|  d|!|}|  d||  dt| |d|}| j d||dd}|d u r| j d|||dS | j d||||dS )NrF   rG   rH   r      rS   Gatherr   rK   r   indices_or_sectionsrX   rT   rU   r!   r"   ConcatSequenceEmptyLoop)rV   n_blocksrJ   SequenceInsertIdentityDivModTileSubrB   )r%   rN   rO   rP   opset11	unsqueezer   rY   r^   r&   r,   r\   r]   _size_helperr(   r_   r   r`   
_is_tensor_get_tensor_rank_C_onnxTensorProtoDataTypeBOOLr
   add_op_with_blocksblockr   _add_input_to_block_add_output_to_blockoutput)"r   r<   rv   r,   rb   re   const_1rh   rd   rf   r   rg   rW   ri   min_split_sizenum_splits_one_extrarj   rk   loop_lenloop_condition	padding_0final_splitslooploop_context_
loop_blockblock_input_itercondslicecond_outloop_out
last_slicedim_sizemin_split_size_plus_1r   r   r   tensor_split   s   






r   zaten::unbindc              	      s   |d u rj d|j dtjdtjdd ddS j dtdg| d}j d|| |d	}|dkr7|gn|} fd
d|D }|S )NrB   rF   rt   rG   rH   r   r   r5   rT   rU   c                    s,   g | ]} d |j dt gdqS )SqueezerF   rH   )r%   rN   rO   )rD   outr,   r   r   r   rE   3  s    zunbind.<locals>.<listcomp>rM   )r   r<   r,   rb   rj   rV   squeezed_outputsr   r   r   unbind#  s   r   zaten::nonzero_numpyc                 C   s   t | t| |d|dS )Nrt   )rb   )r   opset9nonzero)r   r+   rb   r   r   r   nonzero_numpy:  s   r   zaten::wherec              	   C   sb   t |s| jd|tjjd}|d u r)t| |}t | || jdt	
dd|S | d|||S )Nr!   r"   rF   rt   rH   Where)r   _is_boolr%   r   r   r   r   r   _unbind_helperrN   rO   )r   	conditionr<   otherrb   r   r   r   whereA  s   
r   z&aten::fake_quantize_per_channel_affine   c                 C   s   ||fdvrt d| d| d||dkr"| jd|tjjd}n
| jd|tjjd}| jd||||d	}||fd
krR| d|t| | jdt	j
dt	jdd}| jd||||d	S )N)r      r   r   r   r   VFor (quant_min, quant_max), ONNX allows only (0, 127), (0, 255) and (-128, 127). Got (, )r   r!   r"   QuantizeLinearr   r   CliprF   r   rG   rH   DequantizeLinear)r   r`   r%   r   r   UINT8INT8r   unusedrN   rO   uint8)r   inputsscale
zero_pointre   	quant_min	quant_max	quantizedr   r   r    fake_quantize_per_channel_affineP  s*   r   z%aten::fake_quantize_per_tensor_affinec                 C   s   ||fdvrt d| d| d||dkr"| jd|tjjd}n
| jd|tjjd}tj	|tjj
tjjkrC| jd|tjjd}| d|||}||fd	krg| d
|t| | jdtjdtjdd}| d|||S )Nr   r   r   r   r   r!   r"   r   r   r   rF   r   rG   rH   r   )r   r`   r%   r   r   r   r   r   r)   
from_value	UNDEFINEDFLOATr   r   rN   rO   r   )r   r   r   r   r   r   r   r   r   r   fake_quantize_per_tensor_affinet  s2   r   c                    s   t jd fdd	}|S )Nc                    sB   t | |}|d u rt| | S t|dd}| j |||dS )Nr   r=   r4   )r   _maybe_cast_reduce_op_inputr   _handle_reduce_dim_noner(   r%   )r   r<   r,   r=   onnx_op_namer   r   symbolic  s
   z%_reduce_op_symbolic.<locals>.symbolicNN)r	   beartype)r   r   r   r   r   _reduce_op_symbolic  s   	r   z	aten::sum	ReduceSumsum)decoratec                    s&   t | tjtj fdd}|S )Nc                    sL   t ddtj fdd}t ddddtj fdd}||fS )Nr   r   c                    s   d }|   dkr!t|dd}t| }| jd||d}n|   dkr0t d|S | |}|d urMtj	| }||krM| jd||d}|S Nzonnx::Constantr   r    r!   r"   r   
r&   r'   r   r(   r   r)   r*   r%   _unimplementedr   )r   r<   r    
dtype_onnxresultresult_dtype_onnxnamer   r   r   reduce_nodim  s"   
z8_reduce_with_dtype.<locals>.reduce.<locals>.reduce_nodimr   c                    s   d }|   dkr!t|dd}t| }| jd||d}n|   dkr0t d|S | |||}|d urOtj	| }||krO| jd||d}|S r   r   )r   r<   r,   r=   r    r   r   r   r   r   r   
reduce_dim  s"   z6_reduce_with_dtype.<locals>.reduce.<locals>.reduce_dim)r   
parse_argsr	   r   )r   r   r   r   r   r   r   r   reduce  s   
z"_reduce_with_dtype.<locals>.reduce)r   r   overload_by_arg_countr	   r   )onnx_opr   r   r   r   r   _reduce_with_dtype  s
   )r   zaten::unflattenc              
   C   sP  t |}|d u rt ddS | jdtj|gtjdd}| d||}| d||}| d|}| jdtjd	gtjdd}| d
|| jdtjdgtjdd}| d|||}| d|| jdtjdgtjdd}	| d
|	| jdtjdgtjdd}
| jdtjtjgtjdd}| d||
|}| jd|||d	d}t 	| ||S )Nr,   zfONNX and PyTorch use different strategies to split the input. Input rank must be known at export time.rF   rG   rH   rJ   r   Shaper   Reshapert   rK   rw   r   )
r   r   r   r%   rN   rO   int64r   	INT64_MAX_reshape_helper)r   r+   r,   unflattened_size	input_dim
input_sizehead_start_idxhead_end_idxhead_part_rankdim_plus_onetail_start_idxtail_end_idxtail_part_rankfinal_shaper   r   r   	unflatten  s>   

r   zaten::unsafe_chunkc           	   	   C   s   |d u r| j d|| j dtjdtjdd|ddS t||}|d u r)tdd	S || d | }|g||  }|| }|rC|| | j dtj|tjdd}| j d
||||dS )NrB   rF   rt   rG   rH   r   r   unsafe_chunkzunknown dimension sizerT   rU   )r%   rN   rO   rP   r   r_   r   r]   )	r   r<   chunksr,   rb   ri   rW   rj   rk   r   r   r   r     s$   
r   z
aten::tilec                 C   s  |  d|}|  d|}|  d|}|  d||}| j dtdgd}|  d||}tj| d|d	d
d\}	\}
}}|
j dtd
gd}|
 d||}|
 d||}|
j d||dd}t|
j| | d|}t|j| |		 
 }|  d||}tj| d|d	d
d\}\}}}|j dtd
gd}| d| d||}| d||}|j d||dd}| d||}t|j| | d|}t|j| |	 
 }| j d|tjjd}|  d||S )Nr   Sizer   rF   r   rH   GreaterIf   rt   )rz   rV   r   Expandrw   r   r|   LessAbsr!   r"   r   )r%   rN   rO   r
   r   
LongTensorr   r   r   r&   r   r   r   INT64)r   r<   dims
self_shape	self_rank	dims_rankdiff
const_zerodims_shorter_than_self_shapeif_op_greaterif_context_greaterelse_context_greaterr   	const_onediff_1d_greaterexapnd_ones_greaterdims_identity_dim
dims_finaldims_longer_than_self_shape
if_op_lessif_context_lesselse_context_lessdiff_1d_lessexapnd_ones_lessself_final_shapeself_identity_self
self_finalr   r   r   tile,  s\   


r  zaten::repeat_interleavec           "   	   C   s  |}|}t |r"t | || jdtdgd}tjdtjd}nt |}t |}t 	|}t 	|}	|d u r@t
d||d u rJt
d||	d u rTt
d||dk r^|t|	7 }|	 }
t|	D ]\}}|d u rvd	\|
|< |	|< qf|dks|d
kr|d d
krt | |||S |d
ko|d d u }|
| dks|rt | ||}t| |d}|rt | || jdtdgd}| d|| jdtd
gd}t| || d|||}nt| |||S | jd| d|tjd
gtjdd}t| ||d}t| |||}d\|
|< |	|< | jdtd
d}| jd|tjjd}|}| d}tj| d|||d
d\}\}}|j}t |}t |}t |}|d||}|d||}t|||d
 }|jdt|	d |d
  d||jdt|	|d
 d  dg}|jdg|R ddi}t!|||d }t ||| jdt|
d}|d||}|jd|tjjd} t"||  t"|| |# $ }!| jd|!|d}!|!S )NrF   r}   rH   r   rG   zGUnsupported: ONNX export of repeat_interleave for unknown repeats rank.zGUnsupported: ONNX export of repeat_interleave for unknown repeats size.zEUnsupported: ONNX export of repeat_interleave for unknown input size.)r   r}   rt   Equalr   ConstantOfShaper   )r}   rt   r!   r"   rx   ry   rz   rL   rw   r   r{   ConcatFromSequencer   )%r   _is_noner   r%   rN   rO   r   _maybe_get_scalarr   _get_tensor_sizesr   r`   r:   copy	enumerate-_repeat_interleave_single_value_repeat_helperr   r   r   r  r   r   repeat_interleaverP   rl   r   r   r   r
   r   r   r   r   expandr   r&   r   )"r   r<   repeatsr,   output_sizer+   	final_dimrepeats_dimrepeats_sizesinput_sizesoutput_sizesidxr   cond_dynamic_repeatsreps
repeat_dimrepeat_cond	reps_liker_splitsi_splitsr   r   r   r   r   r   r   r   r   r_spliti_splitr_concatr   r   r   r   r   r(  d  s   










r(  zaten::diagonalc                    s  t j | jdt|gdd}t j | jdt|gdd} jd||dd}t  |d d d } jd||d}t|}	|	d urbtt	|	}
|

| |

|  jd	||
||g d
}ntddS  d||tj dgdd jdt|gd}|dkr d d| d|| jdtdgd}d}n d d d||| jdtdgd} jd|dd}t  |dd d } d| jdtdgd} d| jdtt|d gd} fddtt	|	d d D }||  jdg|R ddi}t  |dd d } d d| jdtjdtjdd}tj d|dd \}\}}}|d||}t|||	d g}|jd!||	d d"}t ||d#d d }t|j| t|j| |S )$NrF   rH   r,   rw   r   r   EyeLike)k_i	Transpose)perm_idiagonalzunknown input rankr6   r}   )axes_ir5   MaxMinr   rJ      CumSumrt   c              
      s.   g | ]}t j  jd t|gddqS )rF   rH   r<  )r   ri   r%   rN   r  )rD   re   r   r   r   r   rE   ;  s     zdiagonal.<locals>.<listcomp>r   Notr  rG   r   r   r   GatherND)batch_dims_i   )r   ri   r%   rN   r  zerosr   r   listr\   remover   r;   onesabsr]   rO   r   r
   r   rC   r   r   r   )r   r<   offsetdim1dim2	dim1_size	dim2_size
mask_shapemaskrankaxes	offset_op	diag_sizeselect_window_ones_fillselect_windowgather_shapegather_indicesoverrun_condif_op
if_contextelse_contextr   gather_indices_if_blockfinal_non_overrunfinal_overrunr   rG  r   rA    s   


	
	rA  zquantized::linearc                 C   sn   t | |\}}}}t | |\}	}
}}t | |||
|}t | |\}}}}t| ||	|}t | |||S r   )r   dequantize_helperrequantize_bias_helperr   linearquantize_helper)r   q_inputq_weightbiasop_scaleop_zero_pointr+   input_scaler   weightweight_scalere   q_biasr   r   r   r   quantized_linearj  s   
ru  zquantized::conv1d_reluc
              
   C      t | |\}
}}}t | |\}}}}t | ||||}t | |\}}}}t| |
||||||}t| |}t | |||	S r   )r   rh  ri  r   conv1drelurk  r   rl  rm  rn  stridepaddingdilationgroupsro  rp  r+   rq  r   rr  rs  re   rt  r   r   r   r   quantized_conv1d_relu{     
r~  zquantized::conv2d_reluc
              
   C   rv  r   )r   rh  ri  r   conv2drx  rk  ry  r   r   r   quantized_conv2d_relu  r  r  zquantized::conv3d_reluc
              
   C   rv  r   )r   rh  ri  r   conv3drx  rk  ry  r   r   r   quantized_conv3d_relu  r  r  zquantized::conv1dc
              
   C   v   t | |\}
}}}t | |\}}}}t | ||||}t | |\}}}}t| |
||||||}t | |||	S r   )r   rh  ri  r   rw  rk  ry  r   r   r   quantized_conv1d     
r  zquantized::conv2dc
              
   C   r  r   )r   rh  ri  r   r  rk  ry  r   r   r   quantized_conv2d  r  r  zquantized::conv3dc
              
   C   r  r   )r   rh  ri  r   r  rk  ry  r   r   r   quantized_conv3d   r  r  zquantized::conv_transpose1dc                 C   x   t | |\}}}}t | |\}}}}t | ||||}t | |\}}}}t| ||||||||	}t | ||	|
S r   r   rh  ri  r   conv_transpose2drk  r   rl  rm  rn  rz  r{  output_paddingr|  r}  ro  rp  r+   rq  r   rr  rs  re   rt  r   r   r   r   quantized_conv_transpose1d     
r  zquantized::conv_transpose2dc                 C   r  r   r  r  r   r   r   quantized_conv_transpose2d7  r  r  zquantized::conv_transpose3dc                 C   r  r   )r   rh  ri  r   conv_transpose3drk  r  r   r   r   quantized_conv_transpose3dT  r  r  r   )NF)r   N)NNNr   r   )9	functoolsrN   torch._C._onnx_C_onnxr   
torch.onnxr   r   r   r   r   r   r   r   r   torch.onnx._internalr	   r
   r   partialonnx_symbolic_onnx_symbolicr   r   r   GraphContextr-   r1   rA   rl   rp   rq   rs   r   r   r   r   r   r   r   r   r   r   r  r(  rA  ru  r~  r  r  r  r  r  r  r  r  r   r   r   r   <module>   s0  $		
	7 	!$

4*6 u