a ==ic>@szddlmZddlmZddlmZddlZddlZee Z ddZ dddZ d d Z dd d ZdddZdddZdS)) caffe2_pb2)namedtupledict) WorkspaceNcstt|tr4|D]\}}|||jqn z$c2_native_run_op..Outputs) r isinstancedictitemsFeedBlob device_optionleninputzipZRunOperatorOnceoutputr)Zop_definputskeyvalue output_names output_valuesrr r c2_native_run_ops  rc s\t|r|t|trB|D]\}}|||jq&nfdd|jD}t|t|krt ||D]\}}|||jqpnt|t|jkrt dt|dt|jt d|t dt |d|t dt |d|t|t|jksJt t|D] }|j||||jq||j }fd d|D} td || fS) Ncsg|]}|s|qSr)ZHasBlob)rZ input_namer rr r -s z%c2_native_run_net..z&c2_native_run_net assert. len(inputs)=z len(predict_net.external_input)=z debug_arg: z predict_net :zinputs csg|]}|qSrrrr rr r Frr)r RunNetOncerrrrrZexternal_inputrrprinttyperangeZexternal_outputr) init_net predict_netrZ debug_argrrZ uninitializedirrrr r c2_native_run_net$s:      r'cCsDt}t|d}||Wdn1s60Y|S)Nrb)rZNetDefopenZParseFromStringread)filenetfrrr load_caffe2_netJs ,r.FcCs|t|d}||Wdn1s.0Y|rxt|dd}|t|Wdn1sn0YdS)Nwbtxtw)r)writeZSerializeToStringstr)r,r+Z output_txtr-rrr save_caffe2_netQs  ,r4 TcCs:t}|r||||||j|||}~|dS)zw Run the benchmark net on the target model. Return the execution time per iteration (millisecond). r)rr Z CreateNetZ BenchmarkNetr )r$r% warmup_iters main_itersZ layer_detailsr resultsrrr benchmark_caffe2_modelYs  r:c Csvt|D] }||qd}t|D](}t}||t} || |7}q"td||d|||d|S)z Run the model several times, and measure the execution time. Return the execution time per iteration (millisecond). gzRThe PyTorch model execution time per iter is {} milliseconds, {} iters per second.i)r#timeloginfoformat) modelrZtrainingr7r8verboseZ_iZtotal_pytorch_timetsterrr benchmark_pytorch_modelgs    rC)N)F)r5r6T)Fr5r6F)Z caffe2.protorZonnx.backend.baserZcaffe2.python.onnx.workspacerloggingr; getLogger__name__r<rr'r.r4r:rCrrrr s     &