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python syncnet.py --save_dir ./syncnet_ckpt/ --dataset_dir /home/orangepi/metahumanvideo --asr wenet
Traceback (most recent call last):
File "/home/orangepi/Ultralight-Digital-Human-master/syncn…
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Hi , I’ve been using the cosine_similarity_loss function from your repository, and I’d like to suggest a small modification to improve its consistency in reflecting loss values.
Current Implementati…
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Hi, nice work
but I didn't find the cosine similarity in the code as it has been discussed in the paper.
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Hi, I am trying to experience different losses. I Have implement a face similarity loss and disabled all of other losses. But The loss almost does not changed (%1 decreased). At my method, I am lookin…
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Hi, many thanks for your wonderful work and code!
I'm now working on fMRI decoding and during my experiments running your code, I noticed that the training loss of loss_clip_text keeps decreasing …
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Hello,First of all, thank you very much for this research work! However, when I try to train with the 3DMatch dataset you provided, I get an error message：
(torch) yy@yy:~/se3-equi-graph-registration…
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Persist the dot product between the engine thrust vector and vessel forward vector to account for cosine losses during persistent thrust
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### System Info
PyTorch version: 2.4.1+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
GPU Type and number: A100 80GB x 1
### Information
- [x] The official example scripts
- [x] M…
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用readme里面给的训练脚本：
deepspeed GOT/train/train_GOT.py \
--deepspeed zero_config/zero2.json --model_name_or_path ./GOT_weights/ \
--use_im_start_end True \
--bf16 True \
--gradient_accumu…