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I have now progressed from debugging the MPI communication to running an example of a distributed training of an MLP model on two machines. I have been monitoring the CPU and GPU utilization on the tw…
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> Inspired by #582
As the title suggests, all DreamBerd numbers will be distributed. This means that they will have a value basically equivalent to a normal distribution with some mean and some sta…
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### Apache Airflow version
Other Airflow 2 version (please specify below)
### If "Other Airflow 2 version" selected, which one?
2.4.3
### What happened?
we are trying to create a cluster with Sag…
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Hi there,
I encountered a problem while calculating embeddings with the UCE model and setting args.multi_gpu=True. I received an error: AttributeError: 'TransformerModel' object has no attribute 'm…
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When trying to work with these data via Dataflow, I noticed a few things:
- the ID field key is inconsistent between files. it is `id` in minhash and signals, `doc_id` in duplicates.
- IDs are not…
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Naive distributed computing requires the following things:
- A SPSC channel
- A MPSC channel
- Finding peers
Thanks to our message-passing based design, we should be able to reuse large part of …
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There are many ways to do distributed computing for something like Gorgonia. There are a few things that need to be cleared up when discussing distributed neural networks.
Firstly, which part is dist…
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Set up a talker-listener system across N number of machines. This will also help us experiment faster, help with demos, etc.
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Would it be possible to implement a sort of distributed network, whereas (select) friends could contribute their CPU power?
Or, say I have a long word list, would it make a difference to the password…
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### What's the use case?
We use [Ray](https://docs.ray.io/en/latest/) in our setup to distribute computing. Having seen a [Dagster-dask](https://docs.dagster.io/deployment/guides/dask) Executor. I wa…