dataiter = iter(trainloader) images, labels = dataiter.next() img_grid = torchvision.utils.make_grid(images,nrow=2) 1. 2. 3. torchvision.utils.save_image 可视化工具Tensorboard 主要分为:实例化writer --> 写入数据 --> 浏览器查看 实例化writer tensorboard在一个文件夹下,只能读取一个event文件,...
xtuner train configs/assistant/llama3_8b_instruct_qlora_assistant.py --work-dir /root/llama3_pth # Adapter PTH 转 HF 格式 xtuner convert pth_to_hf /root/llama3_pth/llama3_8b_instruct_qlora_assistant.py \ /root/llama3_pth/iter_500.pth \ /root/llama3_hf_adapter # 模型合并 export MK...
predict_y = torch.max(outputs, dim=1)[1] acc += torch.eq(predict_y, val_labels.to(device)).sum().item() val_accurate = acc / val_num print('[epoch %d] train_loss: %.3f val_accuracy: %.3f' % (epoch + 1, running_loss / train_steps, val_accurate)) if val_accurate > be...
show() # get some random training images dataiter = iter(trainloader) images, labels = dataiter.next() # show images imshow(torchvision.utils.make_grid(images)) # print labels print(' '.join('%5s' % classes[labels[j]] for j in range(4))) 输出: cat plane ship frog 定义一个...
Box 1: Example use of the data loader script 0) import dataloader as dl 1) 2) path_to_h5file = ‘PATH/TO/H5/FILE/ani1x.h5’ 3) 4) data_keys = [‘wb97x_dz.energy’,‘wb97x_dz.forces’] 5) for data in dl.iter_data_buckets(path_to_h5file,keys=data_keys): ...
deftrain_one_iter(self):iter_start_time = time.time()# 迭代开始时间# inps:([bs, 3, 640, 640]),targets:torch.Size([bs, 120, 5])inps, targets = self.prefetcher.next()inps = inps.to(self.data_type)targets = targets.to(self.data_type)targets.requires_grad =False# targets不需要梯度...
train_data_loader()): 330 if nranks > 1: 331 outputs = self.run(ddp_net, data, mode='train') /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dataloader/dataloader_iter.py in __next__(self) 695 696 if in_dygraph_mode(): --> 697 data = self._...
# Train command: python train.py --data data/cat.yaml # Dataset should be placed next to yolov5 folder: # parent #├── yolov5 # └── data # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]...
A train of pulses can be used to measure the time evolution of the surface temperature. The different hot spots respond differently because of their different thermal capacities and conductivities. The normalized temperature decay time is a discriminative feature that it is used to detect surface ...
br_train_q3i4 feature-quant-2.3 master-lookahead master-2.4-iter5 r2.2_fix_randomchoicewithmask br_base_compiler_perf_opt br_high_availability br_infer_retest r2.3 br_infer builder r2.3.q1 br_base_feature_infer_kbk delete_debugger remove_debugger optimize_testcases br_infer_feature_acme_backu...