model = nn.DataParallel(model) 1.2 原理 DP 基于单机多卡,所有设备都负责计算和训练网络,除此之外, device[0] (并非 GPU 真实标号而是输入参数 device_ids 首位) 还要负责整合梯度,更新参数。图 1 即为 GPU 0 作为 device[0] 的例子。从图中我们可以看出,有三个主要过程: 过程一(图中红色部分):各卡分别...
1.2.1.1 简单一行代码,包裹model即可 model=DataParallel(model.cuda(),device_ids=[0,1,2,3])data=data.cuda() 1.2.1.2 模型保存与加载 1.2.1.2.1 模型保存 # torch.save 注意模型需要调用 model.module.state_dict()# 例子一torch.save(net.module.state_dict(),PATH)# 例子二net=Net()PATH="entire_...
if__name__ =="__main__":# Let's build our modeltrain(5) print('Finished Training')# Test which classes performed welltestAccuracy()# Let's load the model we just created and test the accuracy per labelmodel = Network() path ="myFirstModel.pth"model.load_state_dict(torch.load(path...
AI代码解释 withtorch.profiler.profile(activities=[torch.profiler.ProfilerActivity.CPU,torch.profiler.ProfilerActivity.CUDA],# Inthisexamplewithwait=1,warmup=1,active=2,# profiler will skip the first step/iteration,# start warming up on the second,record # the third and the forth iterations,by g...
Visdom() ssd_net = build_ssd('train', cfg['min_dim'], cfg['num_classes']) net = ssd_net if args.cuda: net = torch.nn.DataParallel(ssd_net) cudnn.benchmark = True if args.resume: print('Resuming training, loading {}...'.format(args.resume)) ssd_net.load_weights(args.resume...
model.to(device) # 将模型加载到指定设备上 model.eval() # 将模型设为验证模式 example = torch.rand(1, 3, 224, 224) # 输入样例的格式为一张224*224的3通道图像 # 上面是准备模型,下面就是转换了 traced_script_module = torch.jit.trace(model, example) ...
traced_script_module=torch.jit.trace(model, example) 缺点是如果模型中存在控制流比如if-else语句,一组输入只能遍历一个分支,这种情况下就没办法完整的把模型信息记录下来。 方法二:Scripting 直接在Torch脚本中编写模型并相应地注释模型,通过torch.jit.scr...
Model " "parameters must be created explicitly. To express '{0}' " "as a function of another variable, compute the value in " "the forward() method.".format(name)) else: self._parameters[name] = param 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. ...
(# the script stores the model as "outputs"path="azureml://jobs/{}/outputs/artifacts/paths/outputs/".format(best_run), name="run-model-example", description="Model created from run.", type="custom_model", )else: print("Sweep job status: {}. Please wait until it completes".format(...
git config --global user.email "you@example.com" git config --global user.name "Your Name" 切换到工作目录(如/home/test),获取PyTorch参考代码。 该代码中包含三部分:dkeyserver、dkeycache、PyTorch with SGX。 重要 下载PyTorch可能会因为网络原因导致下载失败,建议您多尝试几次。 cd /home/test g...