Comments (3)
The current version supports both single node multi GPUs mode and multi nodes multi GPUs mode, so just run the train.py
script with torchrun
. If you have encountered any problem, feel free to talk about it here!!
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how about inference on multi-gpu?
from salmonn.
how about inference on multi-gpu?
It's the same as training. The only difference is that you should set run.evaluate: True
in your config, which will skip training and run inference directly.
from salmonn.
Related Issues (20)
- 第一阶段speech Qformer的训练和模型 HOT 4
- inference cuda OOM on smaller GPU
- Request for Task Level 3 Training Data HOT 3
- beats下载链接失效 HOT 1
- 不支持tts任务吗,以后有没有计划推出
- a Few questions... HOT 3
- BEATs Checkpoint Download invalid / expired HOT 1
- Any plan to release the video-SALMONN model? HOT 2
- Provide the datasets for reproducibility HOT 5
- Vicuna issue HOT 1
- Precise details on GPUs and Memory needed for Inference HOT 1
- 训练超参设置
- demo挂了
- 请问哪里用到了BEATs encoder,代码中没有找到? HOT 1
- 3 stage training HOT 4
- 有计划提供官方的微调吗?/ Any plan for official fine-tune code?
- Failed to download finetuned BEATS HOT 1
- 有计划提供官方的Video-SALMONN代码和chekpoint吗?/ Any plan for Video-SALMONN code and checkpoint? HOT 1
- 代码当中的问题 HOT 2
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