Comments (4)
How about concatenate those tensors as a big tensor and append different label prefix for each tensor?
Then you can use the filter function in tensorboard projector (at the right panel) to select what you want.
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unfortunately I don't think i can. I'm actually logging these on the fly using a hook. pytorch hooks can't return anything =(. The only thing I was able to think of is to write some code to combine the log files but there should be a better solution than that.
from tensorboardx.
maybe this is better than dump to a file. XD
class Log():
def __init__():
self.tensors = []
self.labels = []
def __call__(t, l):
self.tensors.append(t)
self.labels.append(l)
def dump():
return cancat(...)
from tensorboardx.
That's the solution I JUST implemented! lol Thanks!
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