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Tensorboard几个使用技巧

1.Tensorboard需要对比多个Training的数据
常规的做法现实单次训练的数据,–logdir=path

tensorboard --logdir=path

多个Training的数据对比,则需要规定各个run的名称

tensorboard --logdir=run1:“path1",run2:“path2",run3:“path3"

2.Tensorboard强制使用CPU
GPU被占满的时候,只能使用CPU来渲染Tensorboard的数据,具体做法是在启动命令前增加CUDA_VISIBLE_DEVICES=“”

CUDA_VISIBLE_DEVICES=“" tensorboard --logdir=path

3.Tensorboard提示No dashboards are active for the current data
一般发生在Tensorboard切换版本后,–logdir=后面不要接带单引号的路径,如果路径包含空格,转意或使用双引号

# 错误
tensorboard —logdir=‘path'
# 正确
tensorboard --logdir=path

tensorboard完整的命令参数

usage: tensorboard [-h] [--helpfull] [--logdir PATH] [--host ADDR]
                   [--port PORT] [--purge_orphaned_data BOOL]
                   [--reload_interval SECONDS] [--db URI] [--db_import]
                   [--db_import_use_op] [--inspect] [--version_tb] [--tag TAG]
                   [--event_file PATH] [--path_prefix PATH]
                   [--window_title TEXT] [--max_reload_threads COUNT]
                   [--reload_task TYPE]
                   [--samples_per_plugin SAMPLES_PER_PLUGIN]
                   [--debugger_data_server_grpc_port PORT]
                   [--debugger_port PORT] [--master_tpu_unsecure_channel ADDR]
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