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## 🚀 Feature
Adding DataParallel method for CPU
## Motivation
Recently, I have been working on few-shot learning and meta-learning models which in particular need small datasets. Let's take…
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# A OverView of Parallel Computing Libraries in Python [Not Finished]
## 1. [multiprocessing](https://docs.python.org/3/library/multiprocessing.html) Module
The [multiprocessing](https://docs.p…
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Hello, i use the command 'python3 train.py --data-dir ./dataset/cityscapes/ --random-mirror --random-scale --restore-from ./dataset/resnet101-imagenet.pth --gpu 4,5,6,7 --learning-rate 1e-2 --input-si…
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Hello everyone,
I'm trying to use pytorch-lightning to train PixelCL on 2 gpus using ddp2 accelerator.
I followed [this](https://github.com/lucidrains/byol-pytorch/blob/master/examples/lightning…
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Do we have more measurable/refined course objectives than teach about parallel systems/software? I'm thinking our course material development might be a little easier if we have some specific learning…
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**Describe the regression**
The new code is much slower than the old one when increasing the sequence length.
**To Reproduce**
The code was tested on a A800-80GB server equipped with NVLINK.
The…
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@Ajaxels I am using the deep learning segmentation tool on MIB Windows 2.82. I am running a Win 10 machine, with 2 RTX A6000 GPUs.
When I try to train a 2D U-Net or DeepLabV3Resnet18, I get severa…
ajr82 updated
2 years ago
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Let's think about the big picture of how we want to serve Machine learning models and the OpenM++ features. There has also been discussions about converting existing models from ModGen to work with Op…
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The current framework for iteration over arrays is confusing. Issue edited because it's even more confusing than at first glance!
Common scenarios for iteration include:
- Iterating over the elem…
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Hi,
I would be quite keen on having parallel training for learning networks.
I have seen that there may be a plan to use Dagger.jl [in this issue](https://github.com/alan-turing-institute/MLJ.j…