Sometimes using torch.load to load an older weight file may report an error Magic Number Error. This may be because the file is stored using pickle and the ...
19.11.2018 · The trace model is simple: import torch import torchvision from torchvision import transforms from PIL import Image from time import time import numpy as np # An instance of your model. model = torchvision. models. resnet18 ( pretrained=True ) model. eval () # An example input you would normally provide to your model's forward () method ...
01.01.2021 · I'm trying to load a pretrained model with torch.load. I get the following error: ModuleNotFoundError: No module named 'utils' I've checked that the path I am using is correct by opening it from the
16.03.2019 · 🐛 Bug I am trying to load my monodatasets for XLM and am stumped with this pickle data issue. I have attempted to pass various arguments including expression ascii, latin1 and utf-8 data = torch.load(path) File "\lib\site-packages\torch\...
torch.load¶ torch. load (f, map_location = None, pickle_module = pickle, ** pickle_load_args) [source] ¶ Loads an object saved with torch.save() from a file.. torch.load() uses Python’s unpickling facilities but treats storages, which underlie tensors, specially. They are first deserialized on the CPU and are then moved to the device they were saved from.
18.11.2020 · Questions and Help What is your question? I'm trying to save my model with torch.save() with the trainer and logger detached and then load it with torch.load(). If I train the model using DDP...
03.09.2020 · Ok, I’m able to load the model. The problem was with the saved weight file. It wasn’t saved properly and the weight file size was smaller (only 90 MB instead of 200 MB).