contentis
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contentis
Is there a way to reduce the memory footprint of the VSR++ model? The model was trained on 480x270p input with 1080p as the target. Now I want to run...
Memory Issue
Using distributed training on an 8xV100 machine with all configs from the REDS dataset and setting the samples_per_gpu up to two the training crashed after four hours as it ran...
Directly import `optimized_attention` instead of adding another redirect.