Comments (2)
layumi
commented on September 18, 2024
Hi @pablovicentem
Sorry for the late response. We have not tested the code on the Jetson Nano.
I am not sure whether it is feasible or not. Memory may be the bottleneck.
But, you are right. TensorRT may be helpful.
You also may test the apex(for float16 inference).
Thanks a lot.
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lakshaydulani
commented on September 18, 2024
Hi @pablovicentem Sorry for the late response. We have not tested the code on the Jetson Nano. I am not sure whether it is feasible or not. Memory may be the bottleneck. But, you are right. TensorRT may be helpful. You also may test the apex(for float16 inference).
Thanks a lot.
hey man whats the min GPU hardware you would suggest for running DG-Net?
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Related Issues (20)
- Train fp16 interrupt HOT 3
- Change the data set to train HOT 3
- doubt about a loss in the ‘gen_update’ HOT 2
- DG-Net_Trainer类的forward函数的一个疑问 HOT 1
- 如何采用训练好的模型去生成图片 HOT 1
- How to test accuracy. HOT 1
- in trainer.py /gen_update(), i cannot understand "encoder is tuned, input is fixed" and "encoder is fixed, input is tuned" HOT 1
- Doubt about dis_opt and gen_opt HOT 2
- How to use DG-Net for vehicle reid? HOT 2
- test_folder HOT 1
- Out of memory error while training the model HOT 1
- when I run train.py, print there error message. Can you help to solve the issue? Thank you ! HOT 1
- 关于inception score HOT 1
- 关于FID计算 HOT 4
- IndexError:Dimension out of range(excepted to be in range of [-1,0],but got 1) HOT 4
- how does two different networks extract appearance and clothing separately?
- appearance code and structure code HOT 1
- online feeding and identity supervision HOT 3
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