o X۷i @sddlmZddlZddlZddlZddlmZmZmZm Z ddl m Z m Z m Z ddlmZejddZeGdd d eZdS) ) annotationsN)Magics magics_classline_cell_magicneeds_local_scope)argumentmagic_argumentsparse_argstring) benchmarkcCs>tt}i}|jD]\}}|jtjjkr|j||<q |S)z9Extract default parameter values from benchmark function.)inspect signaturer parametersitemsdefault Parameterempty)sigdefaults param_nameparamrR/home/ubuntu/vllm_env/lib/python3.10/site-packages/cupyx/profiler/_timeit_magic.py_get_benchmark_defaultss  rc @seZdZdZeeeeddee dde dddedd ee d d e d dded e e d de d ddedddddddZ dS)GPUTimeitMagicsz7GPU-aware timing magics using cupyx.profiler.benchmark.z-nz --n-repeatn_repeatzNumber of repeats (default: ))typerhelpz-wz --n-warmupn_warmupz Number of warmup runs (default: z--max-duration max_durationz&Maximum duration in seconds (default: code*zCode to benchmark)nargsrNcsrtj|}|durd|jfdd}n t|fdd}t||j|j |j d}t |dS)aETime code with GPU synchronization. Works as both line and cell magic. Line magic usage: %gpu_timeit [-n N_REPEAT] [-w N_WARMUP] [--max-duration SEC] expression Cell magic usage: %%gpu_timeit [-n N_REPEAT] [-w N_WARMUP] [--max-duration SEC] Examples: %gpu_timeit cp.random.random((1000, 1000)).sum() %gpu_timeit -n 100 --max-duration 5 cp.arange(1024**3).sum() %%gpu_timeit -n 100 x = cp.random.random((1000, 1000)) result = x @ x.T N cstjjSN)evalshelluser_nsrr local_nsselfrrrunTsz'GPUTimeitMagics.gpu_timeit..runcstjjdSr$)execr&r'rr(rrr+Zs)rrr) r gpu_timeitjoinr striptextwrapdedentr rrrprint)r*linecellr)argsr+resultrr(rr- s .  zGPUTimeitMagics.gpu_timeit)NN) __name__ __module__ __qualname____doc__rrrrintrfloatr-rrrrrs>r) __future__r functoolsr r0IPython.core.magicrrrrIPython.core.magic_argumentsrrr cupyx.profilerr cacherrrrrrs