Comments (3)
could you please tell which GPU do you use and how big they are.
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Hey have you ever run any segmentation model using 2*16G GPUs, eg, PSPNet, DeepLab V3 with ResNet101?
Please refer to #13
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@lzrobots
@VictorLlu
@sixiaozheng
Hi, thank you for your sharing.
however, when i run "./tools/dist_test.sh configs/SETR/SETR_PUP_512x512_160k_ade20k_bs_16_MS.py", i got the error: CUDA out of memory. I have 2 NVIDIA Tesla P100 about 16GB per GPU.
Could you please tell me what is wrong.
Thank you.
the authors have said that they used the 8x32g GPUs to run the SETR at zhihu
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Related Issues (20)
- AttributeError: 'DataContainer' object has no attribute 'shape' HOT 1
- error for using dist_train.sh HOT 2
- typo in Dockerfile HOT 1
- mmcv error ,python3.7.0,pytorch 1.9.1,windows HOT 2
- about single GPU HOT 1
- could you share the demo of SETR? HOT 1
- SETR-Naive-Base model HOT 5
- ZeroDivisionError: integer division or modulo by zero HOT 1
- Questions about "cls_token" and "pos_embed" in the code HOT 10
- multi-scale testing
- Difference with ViT
- 单GPU问题
- RecursionError while training the custom dataset
- ImportError: cannot import name 'container_abcs' from 'torch._six'
- RuntimeError: cuDNN error: CUDNN_STATUS_EXECUTION_FAILED
- Batch size modification HOT 3
- 安装环境问题 HOT 1
- timm issue HOT 2
- RuntimeError: no valid convolution algorithms available in CuDNN
- AttributeError: module 'signal' has no attribute 'SIGKILL'
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