checkpoint = torch.load(log_dir) model.load_state_dict(checkpoint['model']) optimizer.load_state_dict(checkpoint['optimizer']) start_epoch = checkpoint['epoch'] test(model, test_load) return # 如果有保存的模型,则加载模型,并在其基础上继续训练 if os.path.exists(log_dir): checkpoint = torc...
torch.cuda.is_available() # 检查torch是否可以使用显卡 Out[4]: True from PIL import Image img_path = "C:\\Users\\lv\\Desktop\\Pytorch\\1. 第一个Pytorch项目\\dataset\\train\\ants\\6240329_72c01e663e.jpg" # 找到图片 img = Image.open(img_path) # 打开图片 img.show() # 显示图片 ...
net_new.load_state_dict(state_dict_load) print("jia zai hou: ", net_new.features[0].weight[0, ...]) save_checkpoint: importosimportrandomimportnumpyasnpimporttorchimporttorch.nnasnnfromtorch.utils.dataimportDataLoaderimporttorchvision.transformsastransformsimporttorch.optimasoptimfromPILimportImagefro...
loaded_state_dict=dist_checkpointing.load(sharded_state_dict,ckpt_dir)assert'ignored'notinloaded_state_dictassert'tensor-A'notinloaded_state_dictassertisinstance(loaded_state_dict['different-key'],torch.Tensor)# The key in the state dict is important only from the subsequent `model.load_state_...
importtorchimportsoundfileassffromnemo.collections.asr.modelsimportASRModelmodel=ASRModel.from_pretrained(<ModelName>)model.eval()# Load audio filesaudio_file=os.path.join(test_data_dir,"asr","train","an4","wav","an46-mmap-b.wav")audio,sr=sf.read(audio_file,dtype='float32')audio_file_...
checkpoint = torch.load(resume_weights)else:# Load GPU model on CPUcheckpoint = torch.load(resume_weights, map_location=lambdastorage, loc: storage) start_epoch = checkpoint['epoch'] best_accuracy = checkpoint['best_accuracy'] model.load_state_dict(checkpoint['state_dict'])print("=> loaded...
warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.") load old checkpoint failed... Traceback (most recent call last): File "", line 1, in File "D:\Program Files\Python3.8.9\lib\multiprocessing\spawn.py", line 116, in spawn...
Also, PyTorch complains about getting a deque as it expects a numpy array, torch tensor, or caffe2 blob name, so now the deque is converted to a numpy array. 2. Fixes wrong key splitting in _log_windowed_scalar_ for overriding the window size. * Agent proxy that supports multiple input...
best_MIou } torch.save(state, filename) Example 20Source File: train.py From srgan with MIT License 6 votes def save_best_checkpoint(best_dir, best_val, conf, runner, epoch, best_val_metrics): log_file_path = get_best_checkpoint_path(best_dir, epoch, best_val) if not os.path....
# 方式一:保存加载整个state_dict(推荐) # 保存 torch.save(model.state_dict(), PATH) # 加载 model.load_state_dict(torch.load(PATH)) # 测试时不启用 BatchNormalization 和 Dropout model.eval() # 方式二:保存加载整个模型 # 保存 torch.save(model, PATH) # 加载 model = torch.load(PATH) model...