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WangYueFt / dgcnn

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How did you calculate forward time for several models? #59

Closed hjsg1010 closed 4 years ago

hjsg1010 commented 4 years ago

Hi, first, sorry for keep asking about your research..

I'm curious about how to calculate forward time(or operation time?) for some models as shown at Table 3 on your paper.

And does that value means computational time for one epoch?

and What effect did you expect by considering 'categorical vector'? I just wonder how you came up with this interesting idea.

WangYueFt commented 4 years ago

Hi,

I think that's averaged by number of examples in each epoch. For your second question, I am not quite following the "categorical vector", is that the one we use in the segmentation pipeline?

hjsg1010 commented 4 years ago

is that the one we use in the segmentation pipeline?

@WangYueFt yes, in part_seg_code, it named as 'one_hot_label_expand'

hjsg1010 commented 4 years ago

@WangYueFt "I think that's averaged by number of examples in each epoch." This means that you divided the total learning time by total epoch? Thx for Reply