如何在云端运行 AzureML 训练期间使用 View Tensorboard。
from azureml.tensorboard import Tensorboard
tb = Tensorboard([run])
# If successful, start() returns a string with the URI of the instance.
tb.start()
# After your job completes, be sure to stop() the streaming otherwise it will continue to run.
tb.stop()
日志包含语句http://localhost:6006/
打印的 url。tb.start()
这有点愚蠢,因为它在云中运行。
如何获取启动 Tensorboard 的集群中节点的完整 url?