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- [x] dllib scala examples
- [x] chronos
- [x] friesian
chronos:
jenkins link: http://10.112.231.51:18888/view/BigDL-2.0-NB/job/BigDL2.0-K8s-ExampleTests-scala/
| Module | Example | Client…
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# Data Parallelism
Data parallelism replicates the model on every device to generates gradients independently and then communicates those gradients at each iteration to keep model replicas consiste…
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I noticed that when training on Databricks with the same parameters on the same data several times, the resulting models don't give the same predictions, as evidenced by different NDCG on a separate t…
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I want to know if apex supports multi-node GPU distribute training , I follow pytorch Document to use distributed.initilize(). In my case, I have two nodes, each node has 4 GPUs. I use the following c…
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The goal of federated learning is to build a better model by using more data (from other organizations). If the model does not improve with more data, there is no point building a federated learning. …
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./tools/dist_train.sh configs/softgroup/softgroup_stpls3d.yaml 1
2024-01-25 08:18:39,300 - INFO - Config:
model:
channels: 16
num_blocks: 7
semantic_classes: 15
instance_classes: 14
s…
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https://github.com/aws/amazon-sagemaker-examples/blob/43b2f4ad8ece5773e98953a3e3583d3f4b51568c/training/distributed_training/pytorch/data_parallel/maskrcnn/pytorch_smdataparallel_maskrcnn_demo.ipynb?s…
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I am running Tensorboard on distributed training logs. I can see operations on different parameter servers. They are color coded differently with device placement toggle. But, I can’t see operations r…
ghost updated
5 years ago
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Hi @philschmid,
When I try to increase the chunk length to be greater than 2048, the training fails and runs into an OOM error on g5.4xlarge.
Totally makes sense why it's happening, my question i…
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Hi, @16lemoing,
Congratulations on your paper acceptance! :tada:
I encountered some problems while reproducing your training results. I followed the instructions in [training](https://github.com…