o
    so™i|  ã                   @  s\   d dl mZ d dlZd dlZd dlmZ d dlmZ ddd„Z	dd	d
„Z
G dd„ deƒZdS )é    )ÚannotationsN)ÚBase)Úexpectçñhãˆµøä>c                 C  s|   t | jƒ}d|d  }|jdg|¢R Ž }|jdg|¢R Ž }|jdg|¢R Ž }|jdg|¢R Ž }|| |  t || ¡ | S )N)é   é   éÿÿÿÿ)ÚlenÚshapeÚreshapeÚnpÚsqrt)ÚxÚsÚbiasÚmeanÚvarÚepsilonÚdims_xÚdim_ones© r   úY/home/ubuntu/.local/lib/python3.10/site-packages/onnx/backend/test/case/node/batchnorm.pyÚ_batchnorm_test_mode   s   
r   çÍÌÌÌÌÌì?c                 C  s‚   t t t t| jƒ¡d¡ƒ}| j|d}| j|d}	|| |d|   }
|| |	d|   }t| ||||	|d}| 	tj
¡|
|fS )Nr   )Úaxis)r   )Útupler   ÚdeleteÚaranger	   r
   r   r   r   ÚastypeÚfloat32)r   r   r   r   r   Úmomentumr   r   Ú
saved_meanÚ	saved_varÚoutput_meanÚ
output_varÚyr   r   r   Ú_batchnorm_training_mode   s   r&   c                   @  s(   e Zd Zeddd„ƒZeddd„ƒZdS )	ÚBatchNormalizationÚreturnÚNonec                  C  sx  t j dddd¡ t j¡} t j d¡ t j¡}t j d¡ t j¡}t j d¡ t j¡}t j d¡ t j¡}t| ||||ƒ t j¡}tjj	dg d¢dgd}t
|| ||||g|gd	d
 t j dddd¡ t j¡} t j d¡ t j¡}t j d¡ t j¡}t j d¡ t j¡}t j d¡ t j¡}d}t| |||||ƒ t j¡}tjj	dg d¢dg|d}t
|| ||||g|gdd
 d S )Nr   é   é   é   r'   ©r   r   r   r   r   r%   )ÚinputsÚoutputsÚtest_batchnorm_example©r.   r/   Únameç{®Gáz„?)r.   r/   r   Útest_batchnorm_epsilon)r   ÚrandomÚrandnr   r   Úrandr   ÚonnxÚhelperÚ	make_noder   )r   r   r   r   r   r%   Únoder   r   r   r   Úexport"   sH   ýüü
üzBatchNormalization.exportc                  C  s’  t j dddd¡ t j¡} t j d¡ t j¡}t j d¡ t j¡}t j d¡ t j¡}t j d¡ t j¡}d}t| ||||ƒ\}}}tjj	dg d¢g d¢|d	}	t
|	| ||||g|||gd
d t j dddd¡ t j¡} t j d¡ t j¡}t j d¡ t j¡}t j d¡ t j¡}t j d¡ t j¡}d}d}
d}t| |||||
|ƒ\}}}tjj	dg d¢g d¢||d}	t
|	| ||||g|||gdd d S )Nr   r*   r+   r,   r   r'   r-   )r%   r#   r$   )r.   r/   Útraining_modeÚ$test_batchnorm_example_training_moder1   r   r3   )r.   r/   r   r=   Ú$test_batchnorm_epsilon_training_mode)r   r5   r6   r   r   r7   r&   r8   r9   r:   r   )r   r   r   r   r   r=   r%   r#   r$   r;   r    r   r   r   r   Úexport_trainR   sV   üü
ÿû	
üzBatchNormalization.export_trainN)r(   r)   )Ú__name__Ú
__module__Ú__qualname__Ústaticmethodr<   r@   r   r   r   r   r'   !   s
    /r'   )r   )r   r   )Ú
__future__r   Únumpyr   r8   Úonnx.backend.test.case.baser   Úonnx.backend.test.case.noder   r   r&   r'   r   r   r   r   Ú<module>   s   



