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(paddle) F:\Desktop\PARL-develop\examples\QuickStart>python train.py
[32m[03-23 22:43:02 MainThread @logger.py:242][0m Argv: train.py
[33m[03-23 22:43:04 MainThread @__init__.py:37][0m [5m[33m…
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**Motivation:** So far, DAPHNE only supports data-level parallelism by executing the same operations on different chunks of the input data. This is implemented in DAPHNE’s vectorized engine. However, …
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LightGBM implements a voting-parallel tree learner to reduce the communication overhead between nodes for datasets with a large number of features. Currently, I'm working on a project that requests on…
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Hi, thank you for sharing this amazing code.
Recently, I've been looking into the detailed implementation of the code in relation to the paper "Learning to Walk in Minutes Using Massively Parallel …
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**python环境**:3.8
**paddle-gpu版本**:2.6.1,安装方式为:`conda install paddlepaddle-gpu==2.6.1 cudatoolkit=11.7 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge`
**parl版本:2.2.1**,…
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Official docs:
https://book.cairo-lang.org/ch02-03-functions.html
The idea is to have a short and to-the-point article about the concept. Avoid copy/pasting everything from The Cairo Book; the Bo…
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Hi,
`python Run.py -dataset_test PEMS07M -mode eval -model MTGNN`
produce:
============================scaler_mae_loss
Applying learning rate decay.
2024-08-10 16:46: Experiment log path in…
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### Describe the feature you'd like
I'm working on a [C++ implementation of Plutus](https://github.com/sierkov/daedalus-turbo/tree/main/lib/dt/plutus) aimed at optimizing batch synchronization. We'…
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### Describe the bug
While training flux-controlnet on a multi-GPU server and restricting the training to a single GPU, setting **_num_single_layers=0_** leads to an error:
[rank0]: Parameter indi…
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This is a great project, Open source training from scratch, simple and easy to use, especially suitable for ordinary people.
The currently sota algorithm models are highly similar to llama3. I hope…