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### System Info
- Platform: Linux-5.15.0-56-generic-x86_64-with-glibc2.31
- Python version: 3.10.15
- PyTorch version: 2.0.1
- CUDA device(s): NVIDIA A100-PCIE-40GB, NVIDIA A100-PCIE-40GB, NVIDIA …
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Hey @timothyb0912, It seems that functionality for weighing (particularly for [mixed logit](https://github.com/timothyb0912/pylogit/blob/cffc9c523b5368966ef2481c7dc30f0a5d296de8/src/pylogit/mixed_logi…
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Although the wording in the warning for mixed models is true - that the uncertenyl in the SEs does not reflect the uncertenyl in the estimated random effects (intercepts / slopes), setting `re.form=NA…
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(mainly to get started with an issue and to park two links)
https://stats.stackexchange.com/questions/252317/similarities-and-differences-between-irt-model-and-logistic-regression-model
https://st…
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Hi there
so SD Training on 1 GPU Works just fine
but as soon as i enable multi gpu with 2 GPUs i get this error:
![Clipboard_08-18-2024_01](https://github.com/user-attachments/assets/8dc2bd36-ddc…
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First of all: Thanks a lot for this very useful package!
I was wondering whether it would be possible to estimate the random utility models in Bruhin et al. (2019) as mixed logits using xlogit? The…
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Hi @jhelvy,
First of all, thanks a lot for this contribution. I am usually using python, but logitr managed to solve some convergence issues I was having with xlogit using panel data.
My current…
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### Feature request
When a mixed precision data type (such as `fp16`) is provided to `TrainingArguments`, it currently sets the `ACCELERATE_MIXED_PRECISION` ([cf](https://github.com/huggingface/trans…
Thytu updated
6 months ago
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ENV:
Jetson Nano board with JetPack4.2.1
cuda 10.0
cuDNN 7.5
TensorFlow with GPU 1.13.1
Following the README,
1. clone git repository and checkout to trt_4plus, then build the uff_to_plan
2.…