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We use V100 (GPU=32G) in our setting. You can use checkpoint in the backbone (need to combine label and unlabeled data in training) or use fp16 to save memory.
"CUDA out of memory" after several iterations are caused by Resize pipeline.
batch_size=4 , 3090 Ti, the GPU's video memory is 24GB. Why does the code report the error"CUDA out of memory" after several iterations ?
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