WebApr 12, 2024 · from torchvision.models import resnet50 from thop import profile model = resnet50() input = torch.randn(1, 3, 224, 224) macs, params = profile(model, inputs=(input, )) 1 2 3 4 5 Define the rule for 3rd party module. Web19 rows · Sep 7, 2024 · Call thop.clever_format to give a better format of the output. from thop import clever_format macs, params = clever_format ( [ macs, params ], "%.3f") …
深度学习中模型计算量(FLOPs)和参数量(Params)的理解以及四种计 …
Webimport thop import time # from utils.general import LOGGER, colorstr # from utils.torch_utils import profile def time_sync (): # PyTorch-accurate time if torch.cuda.is_available (): torch.cuda.synchronize () return time.time () def profile (input, ops, n=10, device=None): # YOLOv5 speed/memory/FLOPs profiler # # Usage: http://www.iotword.com/2714.html chinese farmer painting
pytorch-OpCounter/profile.py at master - Github
WebOct 18, 2024 · thop = None logger = logging.getLogger(__name__) @contextmanager deftorch_distributed_zero_first(local_rank: int): Decorator to make all processes in distributed training wait for each local_master to do something. iflocal_rank notin[-1, 0]: torch.distributed.barrier() yield iflocal_rank == 0: torch.distributed.barrier() WebHow to use Basic usage from torchvision. models import resnet50 from thop import profile model = resnet50 () input = torch. randn ( 1, 3, 224, 224 ) macs, params = profile ( model, inputs= ( input, )) Define the rule for … WebJul 2, 2024 · pytorch-OpCounter/thop/profile.py Go to file Cannot retrieve contributors at this time 247 lines (208 sloc) 7.97 KB Raw Blame from distutils.version import LooseVersion from thop.vision.basic_hooks … grand home furnishings synchrony bank