Debugging tensorboard--调试不显示任何信息
我有Win7 x64、TensorFlow（GPU）1.3.0、TensorBoard 0.1.5、Python 3.6、CUDA 8.0 Tensorboard工作正常，但当我尝试--debug时，Tensorboard说没有额外的行/输出。Debugging tensorboard--调试不显示任何信息,debugging,tensorboard,Debugging,Tensorboard,我有Win7 x64、TensorFlow（GPU）1.3.0、TensorBoard 0.1.5、Python 3.6、CUDA 8.0 Tensorboard工作正常，但当我尝试--debug时，Tensorboard说没有额外的行/输出。 对吗 D:>tensorboard --logdir=tr:C:\Users\Martin\tmp.tf\04_hist --debug 注意：“tr:”是Win的解决方法。对于我来说，默认情况下在Windows操作系统中使用--debug选项，
对吗
D:>tensorboard --logdir=tr:C:\Users\Martin\tmp.tf\04_hist --debug
注意：“
tr:--debug(3.5-n) C:\soft\Miniconda3>tensorboard --logdi=test:D:\Projects\logs\2 --debug
TensorBoard 0.1.7 at http://PDESK:6006 (Press CTRL+C to quit)
W1013 13:42:00.471421 Reloader tf_logging.py:86] Found more than one graph event per run, or there was a metagraph containing a graph_def, as well as one or more graph events. Overwriting the graph with the newest event.
W1013 13:42:00.510424 Reloader tf_logging.py:86] Found more than one graph event per run, or there was a metagraph containing a graph_def, as well as one or more graph events. Overwriting the graph with the newest event.
大概-您希望将tf_调试与tensorflow一起使用 所以您希望将--debug传递到运行tensorflow python代码的python命令中。python mnist.py 凯拉斯
from keras import backend as K
def set_debugger_session():
sess = K.get_session()
sess = tf_debug.LocalCLIDebugWrapperSession(sess)
sess.add_tensor_filter('has_inf_or_nan', has_inf_or_nan)
K.set_session(sess)
sess = tf_debug.TensorBoardDebugWrapperSession(sess, "127.0.0.0:6006")