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Hi, I just wanted to know whether you can provide an equivalent pytorch implementation of adaptive temporal shift operation (instead of the Shift operation imported from cuda.shift in model/shift_gcn.py). Actually I have a different version of pytorch and cuda which are essential for a different block in my model so I neither can I compile using bash run.sh inside Temporal_shift nor can I switch to the version of cuda & pytorch required for Shift as a block of my model is not compatible using it.
Would really appreciate if you can provide this.
The text was updated successfully, but these errors were encountered:
Hi, I just wanted to know whether you can provide an equivalent pytorch implementation of adaptive temporal shift operation (instead of the Shift operation imported from cuda.shift in model/shift_gcn.py). Actually I have a different version of pytorch and cuda which are essential for a different block in my model so I neither can I compile using bash run.sh inside Temporal_shift nor can I switch to the version of cuda & pytorch required for Shift as a block of my model is not compatible using it.
Would really appreciate if you can provide this.
The text was updated successfully, but these errors were encountered: