U
    Mh                  	   @   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ede
ddd	ejdlejd
ddZede
ddd	ejdmejd
ddZede
dddejdnejd
ddZede
ddddejdoejd
ddZedejdpejd
ddZedejdqejd
ddZedejdrejd
ddZ ed e
ddddejdsejd
d!d"Z!ed#e
dddejdtejd
d$d%Z"ed&ejduejd
d'd(Z#ed)e
ddddejdvejd
d*d+Z$ed,e
ddddddejdwejd
d/d0Z%ed1e
dddddejdxejd
d2d3Z&ejd4d5 Z'ed6e
(d7d8gd9ejd:d; Z)ed<ejejd
d=d>Z*ed?e
ddddejdyejd
d@dAZ+edBejejd
dCdDZ,edEejdzejd
dFdGZ-edHe
ddddejejd
dIdJZ.edKejejd
dLdMZ/edNejejd
dOdPZ0edQejejd
dRdSZ1edTejejd
dUdVZ2edWejejd
dXdYZ3edZejejd
d[d\Z4ed]ejejd
d^d_Z5ed`ejejd
dadbZ6edcejejd
dddeZ7edfejejd
dgdhZ8ediejejd
djdkZ9dS ){    N)
_constants_type_utilserrorssymbolic_helpersymbolic_opset11symbolic_opset9utils)	_beartype	jit_utilsregistration   )Zopsetzaten::softmaxvinonegc                 C   sP   | j d||d}|rL|  dkrLt|dd}| j d|t| d}|S )NZSoftmaxaxis_iprim::Constantr   dtypeCastZto_iopnodekindr   
_get_constr   JitScalarType	onnx_type)r   inputdimr   softmaxparsed_dtype r#   M/var/www/html/venv/lib/python3.8/site-packages/torch/onnx/symbolic_opset13.pyr!      s      r!   zaten::log_softmaxc                 C   sP   | j d||d}|rL|  dkrLt|dd}| j d|t| d}|S )NZ
LogSoftmaxr   r   r   r   r   r   r   )r   r   r    r   Z	return_opr"   r#   r#   r$   log_softmax'   s      r%   zaten::frobenius_normFc                 C   s^   t |d}t |s2t|dkr2| jd|ddS | d||}t j| |||d}| d|S )Nisr   ZReduceL2
keepdims_iMulZSqrt)r   Z_maybe_get_constZ	_is_valuelenr   _reducesum_helper)r   selfr    keepdimZdim_valZsqrZsumsqrr#   r#   r$   frobenius_norm4   s    r.   zaten::splitc              
      s  t ||s jd|||d|d kr*S t |rtt ||krڇ 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 ]2}	 d	|||	 }
|
 d
|||
| |
}q|S  fddt	|D S t | d}| dkr$ jd||||dS t |dd}t ||}|d krh|d k	r\|| }ntd||g||  }|| }|r|
|  jdt|d} jd||||dS )NSplitToSequencer   c                    s   g | ]}t  |d gqS )r   )r   _unsqueeze_helper).0r   r   r#   r$   
<listcomp>M   s   zsplit.<locals>.<listcomp>Constantr   r   Zvalue_tAddSlicec                    s2   g | ]*}  d  j dtj|gtjddqS )
SequenceAtr3   r4   r5   r   torchtensorlong)r1   r   r   Z	split_outr#   r$   r2   \   s   valueSplitr   outputsr   
split_size$Unknown dimension size not supported)r   _is_split_staticr   Z_is_packed_listr*   Z_unpack_listr:   r;   r<   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_valrB   sizesplitsleftoverr#   r=   r$   split@   sX    
  	


 
rU   zaten::split_with_sizesc                 C   s   t | ||||S NrU   r   r,   rL   r    rK   r#   r#   r$   split_with_sizesz   s    rY   zaten::unsafe_splitc                 C   s   t | ||||S rV   rW   )r   r,   rJ   r    rK   r#   r#   r$   unsafe_split   s    rZ   zaten::unsafe_split_with_sizesc                 C   s   t | ||||S rV   )rY   rX   r#   r#   r$   unsafe_split_with_sizes   s    r[   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 k	stt|d D ]J}
| j d|| j dtj|
gtjdddd}|	|  d	|||| |}qt| ||}|	|  d	|||| |	S t|d
d}t||}|d kr`|d k	rT|| }ntd||| }|| }||d g }|| |g }| j dtj|| tjdd}| j d||||dS t|rxt|dkrxt| || 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 kr| j d|||dS | j d||||dS d S )Nr3   r4   r5   r      r>   ZGatherr   r7   r   indices_or_sectionsrC   r?   r@   r   r   ConcatSequenceEmptyLoop)rA   n_blocksr6   SequenceInsertIdentityDivModTileSubr/   )r   r:   r;   r<   opset11	unsqueezer   rD   rG   r   r    AssertionErrorrE   rF   _size_helperr   rH   r   rI   Z
_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,   r]   r    rK   rN   Zconst_1rQ   rM   rO   r   rP   rB   rR   Zmin_split_sizeZnum_splits_one_extrarS   rT   loop_lenloop_conditionZ	padding_0final_splitslooploop_context_
loop_blockblock_input_itercondslicecond_outloop_outZ
last_sliceZdim_sizeZmin_split_size_plus_1r#   r#   r$   tensor_split   s      


    
      


   

r   zaten::unbindc              	      s   |d kr2j d|j dtjdtjdd ddS j dtdg| d}j d|| |d	}|dkrn|gn|} fd
d|D }|S )Nr/   r3   r\   r4   r5   r   r   r(   r?   r@   c                    s,   g | ]$} d |j dt gdqS )ZSqueezer3   r5   )r   r:   r;   )r1   outr    r   r#   r$   r2   +  s   zunbind.<locals>.<listcomp>r9   )r   r,   r    rK   rS   rA   Zsqueezed_outputsr#   r   r$   unbind  s    r   zaten::nonzero_numpyc                 C   s   t | t| |d|dS )Nr\   )rK   )r   opset9nonzero)r   r   rK   r#   r#   r$   nonzero_numpy2  s    r   zaten::wherec              	   C   sb   t |s| jd|tjjd}|d krRt| |}t | || jdt	
dd|S | d|||S )Nr   r   r3   r\   r5   ZWhere)r   Z_is_boolr   rn   ro   rp   r   r   Z_unbind_helperr:   r;   )r   	conditionr,   otherrK   r#   r#   r$   where9  s    
   r   z&aten::fake_quantize_per_channel_affine   c                 C   s   ||fdkr&t d| d| d||dkrD| jd|tjjd}n| jd|tjjd}| jd||||d	}||fd
kr| 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   Clipr3   r   r4   r5   DequantizeLinear)r   rI   r   rn   ro   UINT8INT8r   unusedr:   r;   uint8)r   inputsscale
zero_pointrN   	quant_min	quant_max	quantizedr#   r#   r$    fake_quantize_per_channel_affineH  s"    r   z%aten::fake_quantize_per_tensor_affinec                 C   s   ||fdkr&t d| d| d||dkrD| jd|tjjd}n| jd|tjjd}tj	|tjj
tjjkr| jd|tjjd}| d|||}||fd	kr| d
|t| | jdtjdtjdd}| d|||S )Nr   r   r   r   r   r   r   r   r   r   r3   r   r4   r5   r   )r   rI   r   rn   ro   r   r   r   r   
from_valueZ	UNDEFINEDFLOATr   r   r:   r;   r   )r   r   r   r   r   r   r   r#   r#   r$   fake_quantize_per_tensor_affinel  s,    r   c                    s   t jd fdd	}|S )Nc                    sF   t | |}|d kr"t | | S t |dd}| j |||dS d S )Nr   r-   r'   )r   Z_maybe_cast_reduce_op_inputZ_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::sumZ	ReduceSumsum)Z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rBt|dd}t| }| jd||d}n|   dkr`t d|S | |}|d k	rtj	| }||kr| 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$   reduce_nodim  s    
z8_reduce_with_dtype.<locals>.reduce.<locals>.reduce_nodimr   c                    s   d }|   dkrBt|dd}t| }| jd||d}n|   dkr`t d|S | |||}|d k	rtj	| }||kr| jd||d}|S r   r   )r   r,   r    r-   r   r   r   r   r   r#   r$   
reduce_dim  s    z6_reduce_with_dtype.<locals>.reduce.<locals>.reduce_dim)r   
parse_argsr	   r   )r   argskwargsr   r   r   r#   r$   reduce  s    
z"_reduce_with_dtype.<locals>.reduce)r   r   Z_overload_by_arg_countr	   r   )Zonnx_opr   r   r#   r   r$   _reduce_with_dtype  s
    )r   zaten::unflattenc              
   C   sP  t |}|d k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.r3   r4   r5   r6   rf   Shaper   Reshaper\   r7   r^   r   )
r   rm   r   r   r:   r;   int64r   Z	INT64_MAX_reshape_helper)r   r   r    Zunflattened_sizeZ	input_dim
input_sizeZhead_start_idxZhead_end_idxZhead_part_rankZdim_plus_oneZtail_start_idxZtail_end_idxZtail_part_rankZfinal_shaper#   r#   r$   	unflatten  sP    
         r   zaten::unsafe_chunkc           	   	   C   s   |d kr2| j d|| j dtjdtjdd|ddS t||}|d krRtdd	S || d | }|g||  }|| }|r|| | j dtj|tjdd}| j d
||||dS )Nr/   r3   r\   r4   r5   r   r   unsafe_chunkzunknown dimension sizer?   r@   )r   r:   r;   r<   r   rH   r   rF   )	r   r,   chunksr    rK   rR   rB   rS   rT   r#   r#   r$   r     s$    
r   z
aten::tilec                 C   s  |  d|}|  d|}|  d|}|  d||}| j dtdgd}|  d||}tj| d|d	d
d\}	\}
}}|
j dtd
gd}|
 d||}|
 d||}|
j d||dd}t|
j| | d|}t|j| |		 
 }|  d||}tj| d|d	d
d\}\}}}|j dtd
gd}| d| d||}| d||}|j d||dd}| d||}t|j| | d|}t|j| |	 
 }| j d|tjjd}|  d||S )Nr   Sizerh   r3   r   r5   ZGreaterIf   r\   )ra   rA   r   Expandr^   r   rc   ZLessZAbsr   r   rg   )r   r:   r;   r
   rq   
LongTensorr   rt   rr   r   ru   rn   ro   ZINT64)r   r,   ZdimsZ
self_shapeZ	self_rankZ	dims_rankdiffZ
const_zeroZdims_shorter_than_self_shapeZif_op_greaterZif_context_greaterZelse_context_greaterr{   Z	const_oneZdiff_1d_greaterZexapnd_ones_greaterZdims_Zidentity_dimZ
dims_finalZdims_longer_than_self_shapeZ
if_op_lessZif_context_lessZelse_context_lessZdiff_1d_lessZexapnd_ones_lessZself_final_shapeZself_Zidentity_selfZ
self_finalr#   r#   r$   tile$  sr            
   r   zaten::repeat_interleavec           !   	   C   s  t |}t |}t |}|d kr2td||d krFtd||d krZtd||}t |rt | || jdt	dgd}tj	dtj
d}n
t |}|dk r|t|7 }| }	t|D ] \}
}|d krd	\|	|
< ||
< q|dks|d
kr|d d
krt | |||S |d
ko0|d d k}|	| dksF|rt | ||}t| |d}|rt | || jdtdgd}| d|| jdtd
gd}t| || d|||}nt| |||S | jd| d|tj	d
gtjdd}t| ||d}t| |||}d\|	|< ||< | jdt	d
d}| jd|tjjd}|}| d}tj| d|||d
d\}\}}|j}t |}t |}t |}|d||}|d||}t|||d
 }|jdt|d |d
  d||jdt||d
 d  dg}|jd|ddi}t!|||d }t ||| jdt|	d}|d||}|jd|tjjd}t"|| t"|| |# $ } | jd| |d} | S )NzGUnsupported: 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.r3   rd   r5   r   r4   )r   rd   r\   Equalr   ZConstantOfShaper   )rd   r\   r   r   r_   r`   ra   r8   r^   r   rb   ZConcatFromSequencer   )r^   )%r   rm   Z_get_tensor_sizesr   rI   Z_is_noner   r   r:   r;   r   Z_maybe_get_scalarr*   copy	enumerateZ-_repeat_interleave_single_value_repeat_helperrl   ri   rj   r   r   r   repeat_interleaver<   rU   rn   ro   rp   r
   rq   rr   r   rs   expandrt   r   ru   )!r   r,   Zrepeatsr    Zoutput_sizeZrepeats_dimZrepeats_sizesZinput_sizesZ	final_dimZoutput_sizesidxr   Zcond_dynamic_repeatsZrepsZ
repeat_dimZrepeat_condZ	reps_likeZr_splitsZi_splitsrw   rv   rx   ry   rz   r{   r|   r}   r~   Zr_splitZi_splitZr_concatr   r   r#   r#   r$   r   \  s    



  
"       

     


    r   zaten::diagonalc                    s   t |}|d k	r:|dkr|n|| }|dkr2|n|| }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}	|d k	rt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}n4 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$|ddi}t |dd d } d d| jdtjdtjdd}tj d|dd \}\}}}|d||}t |||d g}|jd!||d d"}t||d#d d }t|j| t|j| |S )%Nr   r3   r5   r    r^   r   ZEyeLike)Zk_iZ	Transpose)Zperm_idiagonalzunknown input rankr)   rd   )Zaxes_ir(   ZMaxZMinrh   r6      ZCumSumr\   c              
      s.   g | ]&}t j  jd t|gddqS )r3   r5   r   )r   rR   r   r:   r   )r1   rN   r   r   r#   r$   r2   7  s   zdiagonal.<locals>.<listcomp>r   Notr   r4   r   r   r   ZGatherND)Zbatch_dims_i   )r^   )r   rm   r   rR   r   r:   r   ZzeroslistrE   remover   r+   ZonesabsrF   r;   r   r
   rq   r0   r   rt   rr   )r   r,   offsetZdim1Zdim2ZrankZ	dim1_sizeZ	dim2_sizeZ
mask_shapemaskZaxesZ	offset_opZ	diag_sizeZselect_window_ones_fillZselect_windowZgather_shapeZgather_indicesZoverrun_condZif_opZ
if_contextZelse_contextr{   Zgather_indices_if_blockZfinal_non_overrunZfinal_overrunr#   r   r$   r     s    
    


	
	        r   zquantized::linearc                 C   sn   t | |\}}}}t | |\}	}
}}t | |||
|}t | |\}}}}t| ||	|}t | |||S rV   )r   dequantize_helperrequantize_bias_helperr   linearquantize_helperr   q_inputq_weightbiasop_scaleop_zero_pointr   input_scaler{   weightweight_scalerN   q_biasru   r#   r#   r$   quantized_linearf  s        r   zquantized::linear_reluc                 C   sz   t | |\}}}}t | |\}	}
}}t | |||
|}t | |\}}}}t| ||	|}t| |}t | |||S rV   )r   r   r   r   r   relur   r   r#   r#   r$   quantized_linear_reluw  s        r   zquantized::conv1d_reluc
              
   C   s   t | |\}
}}}t | |\}}}}t | ||||}t | |\}}}}t| |
||||||}t| |}t | |||	S rV   )r   r   r   r   conv1dr   r   r   r   r   r   stridepaddingdilationgroupsr   r   r   r   r{   r   r   rN   r   ru   r#   r#   r$   quantized_conv1d_relu  s        r   zquantized::conv2d_reluc
              
   C   s   t | |\}
}}}t | |\}}}}t | ||||}t | |\}}}}t| |
||||||}t| |}t | |||	S rV   )r   r   r   r   conv2dr   r   r   r#   r#   r$   quantized_conv2d_relu  s        r   zquantized::conv3d_reluc
              
   C   s   t | |\}
}}}t | |\}}}}t | ||||}t | |\}}}}t| |
||||||}t| |}t | |||	S rV   )r   r   r   r   conv3dr   r   r   r#   r#   r$   quantized_conv3d_relu  s        r   zquantized::conv1dc
              
   C   sv   t | |\}
}}}t | |\}}}}t | ||||}t | |\}}}}t| |
||||||}t | |||	S rV   )r   r   r   r   r   r   r   r#   r#   r$   quantized_conv1d  s        r   zquantized::conv2dc
              
   C   sv   t | |\}
}}}t | |\}}}}t | ||||}t | |\}}}}t| |
||||||}t | |||	S rV   )r   r   r   r   r   r   r   r#   r#   r$   quantized_conv2d  s        r   zquantized::conv3dc
              
   C   sv   t | |\}
}}}t | |\}}}}t | ||||}t | |\}}}}t| |
||||||}t | |||	S rV   )r   r   r   r   r   r   r   r#   r#   r$   quantized_conv3d  s        r   zquantized::conv_transpose1dc                 C   sx   t | |\}}}}t | |\}}}}t | ||||}t | |\}}}}t| ||||||||	}t | ||	|
S rV   r   r   r   r   Zconv_transpose2dr   r   r   r   r   r   r   Zoutput_paddingr   r   r   r   r   r   r{   r   r   rN   r   ru   r#   r#   r$   quantized_conv_transpose1d(  s,                r   zquantized::conv_transpose2dc                 C   sx   t | |\}}}}t | |\}}}}t | ||||}t | |\}}}}t| ||||||||	}t | ||	|
S rV   r   r   r#   r#   r$   quantized_conv_transpose2dE  s,                r   zquantized::conv_transpose3dc                 C   sx   t | |\}}}}t | |\}}}}t | ||||}t | |\}}}}t| ||||||||	}t | ||	|
S rV   )r   r   r   r   Zconv_transpose3dr   r   r#   r#   r$   quantized_conv_transpose3db  s,                r   )N)N)NF)N)N)N)N)N)r   N)N)NNN)r   r   )r   r   )N)NN):	functoolsr:   Ztorch._C._onnxZ_CZ_onnxrn   Z
torch.onnxr   r   r   r   r   ri   r   r   r   Ztorch.onnx._internalr	   r
   r   partialZonnx_symbolicZ_onnx_symbolicr   r   ZGraphContextr!   r%   r.   rU   rY   rZ   r[   r   r   r   r   r   r   r   Z_apply_paramsr   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r#   r#   r#   r$   <module>   s"  $	
	7    	  !  $
4*6    y