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Full reprex to be attached momentarily (comment too large for pasting), bug found in course of identifying problem in #130
Note for #130 will not fix, however, logging here for addressing software…
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Hello.
I'm fitting a logistic regression model with mixed effects using the package glmmTMB. (Because the dataset is very large and lme4 produces out of memory errors).
And I need help to inte…
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## 🐛 Bug
When training models with mixed precision mode, interpolate operation is very slow.
## To Reproduce
Please test this piece of code:
```python
import torch
import torch.nn as nn
…
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- [ ] L'atelier nécessite un serieuse réorganisation
- [ ] La présentation n'est abolument pas linéaire. Le script ne suit pas nécessairement la présentation. Il serait intéressant d'utiliser des don…
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Hello- I have two loosely related question maybe you can help. A bit of background:
I have data about the forms that a parasite can take in infected mice, so each datapoint is a parasite. Parasites…
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I have a use-case where I have a "main" model which is trained with apex.amp at opt_level "O1", and all is fine. But I also have a small supplementary model which does not need mixed precision trainin…
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## 环境
- 【FastDeploy版本】: 按照官方编译步骤编译的昇腾版本
- 【编译命令】官网给出的命令
- 【系统平台】: Linux aarch64(Ubuntu 18.04)
- 【硬件】: 说明具体硬件型号,Ascend910
- 【编译语言】: Python3.9
- 【补充】所需要的paddle npu环境以及paddlelite环境以及FastDeploy…
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As I noted in #1073 , it's not clear that we need the readr dependency at this point; could simply pass the column class information `read.csv`.
@ashiklom noted on Slack as well:
Have we ever co…
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I wanted to try out dreamerv2 on our own environment (or at least the examples) but unfortunately run into some issues along the way.
The README example & Dockerfile use TensorFlow (and other libra…