Comments (2)
This is a Tensorflow issue, not one of this implementation. The reason why this happens is that TF needs to allocate more GPU memory. Most of the DL frameworks needs significantly more time for the first batch than the rest, due to this issue.
If you can't initialize the network in a constant variable in order to reuse it, then I do not think there is a workaround.
from intermediate-cnn-features.
This is a Tensorflow issue, not one of this implementation. The reason why this happens is that TF needs to allocate more GPU memory. Most of the DL frameworks needs significantly more time for the first batch than the rest, due to this issue.
If you can't initialize the network in a constant variable in order to reuse it, then I do not think there is a workaround.
Okay,Thank you.
from intermediate-cnn-features.
Related Issues (3)
- inception_utils is missing HOT 1
- [Bug] fps is inf HOT 1
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