o
    ;ήc                     @   s  d dl Z d dlZd dlZd dlmZ d dlZd dlZ	ddddZ
ddd	d
ddddZi fddZdddi ddfddZedkre jddZejddd ejddeddd ejd d!d"d# ejd$d!d%d# ejd&i d'd( d)d* e Zeejejejejej\ZZZee dS dS )+    N)default_timerfloat16float32float64)ztensor(float16)ztensor(float)ztensor(double)int32int8uint8int16uint16int64uint64)ztensor(int32)ztensor(int8)ztensor(uint8)ztensor(int16)ztensor(uint16)ztensor(int64)ztensor(uint64)c                 C   s  i }|   D ]}g }|jD ])}|s|d qt|tkr1||v r+|t||  q|d q|| q|jtv rLtjj	| 
t|j ||j< q|jtv retjjdt|d
t|j ||j< q|jdkr{tjjdt|d
d||j< qtd|j|j td	 q|S )
N     highsizetensor(bool)   r   boolz&unsupported input type {} for input {})
get_inputsshapeappendtypestrint
float_dictnprandomrandastypenameinteger_dictuniformtuplerandintprintformatsysexit)sesssymbolic_dimsfeeds
input_metar   dim r0   I/tmp/pip-target-vg8gfxp4/lib/python/onnxruntime/tools/onnxruntime_test.pygenerate_feeds    s,   

 

"r2   r   Tc                 C   s  |rt dt  t d tjd d }|r't }d|_	tj
| |_tj| |t d}| }	|s<t||}|r| D ]]}
dd |
jD }|
jtv ratjj| t|
j ||
j< qB|
jtv rztjjdt|d	t|
j ||
j< qB|
jd
krtjjdt|dd||
j< qBt d|
j|
j td qBt }t |D ]}|!g |}qt }t d|	j" t d|	j# t d| t d|| d |  |r|$ }t d| d||dko|fS )Nz9Pausing execution ready for debugger to attach to pid: {}zPress key to continue.r   T)sess_options	providersc                 S   s   g | ]}|r|nd qS )r   r0   ).0r/   r0   r0   r1   
<listcomp>d       zrun_model.<locals>.<listcomp>r   r   r   r   r   r   z2unsupported initializer type {} for initializer {}r   z	model: {}zversion: {}ziterations: {}zavg latency: {} msztrace file written to: {}r   )%r'   r(   osgetpidr)   stdinreadonnxrtSessionOptionsenable_profilingpathbasenameprofile_file_prefixInferenceSessionget_available_providersget_modelmetar2   get_overridable_initializersr   r   r   r   r   r    r!   r"   r#   r$   r%   r&   r*   timerrangerun
graph_nameversionend_profiling)
model_path	num_itersdebugprofiler,   r-   override_initializersr3   r+   metainitializerr   startioutputsend
trace_filer0   r0   r1   	run_modelA   sT   	

 

"rX   __main__zSimple ONNX Runtime Test Tool.)descriptionrL   z
model path)helprM   ?r   z"model run iterations. default=1000)nargsr   defaultr[   z--debug
store_truez.pause execution to allow attaching a debugger.)actionr[   z	--profilez'enable chrome timeline trace profiling.z--symbolic_dimsc                 C   s   t dd | dD S )Nc                 s   s    | ]}| d V  qdS )=N)split)r5   xr0   r0   r1   	<genexpr>   s    z<lambda>.<locals>.<genexpr>,)dictrb   )sr0   r0   r1   <lambda>   r7   rh   zComma separated name=value pairs for any symbolic dimensions in the model input. e.g. --symbolic_dims batch=1,seqlen=5. If not provided, the value of 1 will be used for all symbolic dimensions.)r^   r   r[   )argparser8   r)   timeitr   rF   numpyr   onnxruntimer<   r   r#   r2   rX   __name__ArgumentParserparseradd_argumentr   
parse_argsargsrL   rM   rN   rO   r,   	exit_code_r*   r0   r0   r0   r1   <module>   sh   #
A	 