o
    soi                     @  sH   d dl mZ d dlZd dlZd dlmZ d dlmZ G dd deZ	dS )    )annotationsN)Base)expectc                   @  s   e Zd ZedddZdS )InstanceNormalizationreturnNonec                  C  s0  ddd} t g dgg dgggt j}t ddgt j}t dd	gt j}| |||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}d}| ||||t j}tjjd
g ddg|d}t||||g|gdd d S )Nh㈵>c           	      S  s   t | j}ttd|}tj| |dd}tj| |dd}d|d  }|jdg|R  }|jdg|R  }|| |  t||  | S )N   T)axiskeepdims)   )	lenshapetuplerangenpmeanvarreshapesqrt)	xsbiasepsilondims_xr
   r   r   dim_ones r   \/home/ubuntu/.local/lib/python3.10/site-packages/onnx/backend/test/case/node/instancenorm.py_instancenorm_test_mode   s   
z=InstanceNormalization.export.<locals>._instancenorm_test_mode)r   r   r   )r	         g      ?g      ?r   r   r   )r   r   r   y)inputsoutputstest_instancenorm_example)r#   r$   namer	   r    r!      g{Gz?)r#   r$   r   test_instancenorm_epsilon)r   )
r   arrayastypefloat32onnxhelper	make_noder   randomrandn)r   r   r   r   r"   noder   r   r   r   export   s.   
$zInstanceNormalization.exportN)r   r   )__name__
__module____qualname__staticmethodr2   r   r   r   r   r      s    r   )

__future__r   numpyr   r,   onnx.backend.test.case.baser   onnx.backend.test.case.noder   r   r   r   r   r   <module>   s   