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The Bagua library (https://github.com/BaguaSys/bagua) is optimized for high performant PyTorch training and is shown to have higher throughput than PyTorch DDP and Horovod. We can add support for it i…
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Hi,
Can I know the values used as learning rate, batch size etc. when training Freebase knowledge graph with different number of partitions? If you have performed distributed training for other graph…
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I am testing the distributed LoRA training config for llama-3-8B. I have a node with several GPUs but I struggle to train only on a subset of the devices (GPU 0 and 1 are used for something else).
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Here's how Spark's MLlib implements distributed ALS. Worth looking into: https://databricks-training.s3.amazonaws.com/movie-recommendation-with-mllib.html
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It is unknown whether Sedna supports traditional distributed training methods, such as model parallelism.
I can divide the model into different layers and distribute the training tasks of different l…
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Thanks for your great work! I am new to MPI and I ran into some nccl errors when I use your command to launch a training.
My environment is
> ubuntu20.04
> 2 * GTX3090
> python3.7 + torch1.10 …
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cpu内存256G,GPU 6张3090
WARNING:torch.distributed.run:
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your syste…
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While training model using - lightgbm. I am facing the error which says -
""" ValueError: The `num_actors` parameter is set to 0. Please always specify the number of distributed actors you want to u…
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The g_loss value in "train_second.py" is nan.
Debugging found that the output value of the model.decoder() function was nan. (line 391, line 402)
There was no problem in train_first.py, but I don't…