This is an official implementation of our CVPR 2021 paper "Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression" (https://arxiv.org/abs/2104.02300)
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RutimeError:CUDA out of memory. when i training on COCO train2017 dataset #32
when i run python tools/train.py --cfg experiments/coco/w32/w32_4x_reg03_bs10_512_adam_lr1e-3_coco_x140.yaml RuntimeError: CUDA out of memory. Tried to allocate 86.00 MiB (GPU 0; 10.91 GiB total capacity; 9.39 GiB already allocated; 125.50 MiB free; 9.48 GiB reserved in total by PyTorch) , i didn't find batch_size in the w32_4x_reg03_bs10_512_adam_lr1e-3_coco_x140.yaml? is there anything else that need to be modified?
when i run python tools/train.py --cfg experiments/coco/w32/w32_4x_reg03_bs10_512_adam_lr1e-3_coco_x140.yaml
RuntimeError: CUDA out of memory. Tried to allocate 86.00 MiB (GPU 0; 10.91 GiB total capacity; 9.39 GiB already allocated; 125.50 MiB free; 9.48 GiB reserved in total by PyTorch) , i didn't find batch_size in the w32_4x_reg03_bs10_512_adam_lr1e-3_coco_x140.yaml? is there anything else that need to be modified?