版本信息:
python 3.6
pytorch 0.4.1
tensorflow-gpu 1.4.0
tensorboard 1.6.0 [tensorflow 与 tensorboard版本匹配]
from tensorboard_logger import Logger
logger = Logger(logdir="./tensorboard_logs", flush_secs=10)
...
def train(net, optimizer):
for epoch in range(epoch_nums):
net.train()
for batch_idx, (inputs, targets) in enumerate(trainloader):
inputs = Variable(inputs, requires_grad=True).cuda()
targets = targets.cuda()
optimizer.zero_grad()
outputs = net(inputs)
loss = criterion(outputs, targets)
loss.backward()
optimizer.step()
train_loss += loss.item()
...
# 记录所需的变量
logger.log_value('avg_loss', train_loss/(batch_idx+1), epoch*len(trainloader) + batch_idx)
logger.log_value('loss', loss.item(), epoch*len(trainloader) + batch_idx)
logger.log_value('acc', 100. * correct / total, epoch*len(trainloader) + batch_idx)
新开一个终端,输入:
tensorboard --logdir './tensorboard_logs/'
回车后终端显示:
TensorBoard 1.6.0 at http://iccd:6006 (Press CTRL+C to quit)