我将 Windows 10 jupyter 笔记本作为服务器并在其上运行一些火车。
我已经正确安装了 CUDA 9.0 和 cuDNN，并且 python 检测到了 GPU。这就是我在 anaconda 提示符下得到的内容。
>>> torch.cuda.get_device_name(0)
'GeForce GTX 1070'
我还通过 .cuda() 将模型和张量放在 cuda 上
model = LogPPredictor(1, 58, 64, 128, 1, 'gsc')
if torch.cuda.is_available():
torch.set_default_tensor_type(torch.cuda.DoubleTensor)
model.cuda()
else:
torch.set_default_tensor_type(torch.FloatTensor)
list_train_loss = list()
list_val_loss = list()
acc = 0
mse = 0
optimizer = args.optim(model.parameters(),
lr=args.lr,
weight_decay=args.l2_coef)
data_train = DataLoader(args.dict_partition['train'],
batch_size=args.batch_size,
pin_memory=True,
shuffle=args.shuffle)
data_val = DataLoader(args.dict_partition['val'],
batch_size=args.batch_size,
pin_memory=True,
shuffle=args.shuffle)
for epoch in tqdm_notebook(range(args.epoch), desc='Epoch'):
model.train()
epoch_train_loss = 0
for i, batch …我正在尝试使用 AWS CodePipeline 将 Node.js 应用程序部署到 AWS ElasticBeanstalk。由于我的应用程序使用 WebSockets，因此我在.ebextensions.
container_commands:
enable_websocket:
command:
sed -i '/\s*proxy_set_header\s*Connection/c \
proxy_set_header Upgrade $http_upgrade;\
proxy_set_header Connection "upgrade";\
' /tmp/deployment/config/#etc#nginx#conf.d#00_elastic_beanstalk_proxy.conf
但是，CodePipeline 在部署过程中失败，ElasticBeanstalk 日志文件cfn-init.log显示如下：
2020-06-18 12:43:42,345 [INFO] -----------------------Starting build-----------------------
2020-06-18 12:43:42,352 [INFO] Running configSets: Infra-EmbeddedPostBuild
2020-06-18 12:43:42,355 [INFO] Running configSet Infra-EmbeddedPostBuild
2020-06-18 12:43:42,359 [INFO] Running config postbuild_0_drcha
2020-06-18 12:43:42,381 [ERROR] Command enable_websockets (sed -i '/\s*proxy_set_header\s*Connection/c \
proxy_set_header Upgrade $http_upgrade;\
proxy_set_header Connection "upgrade";\
' /tmp/deployment/config/#etc#nginx#conf.d#00_elastic_beanstalk_proxy.conf) failed
2020-06-18 12:43:42,381 [ERROR] Error encountered during build of …