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by default, torchtitan use FSDP2 mixed precision (param_dtype=bfloat16, reduce_dtype=float32)
for low-precision dtypes (float8 and int8), it's nature to compare loss curve with bfloat16 and see how…
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**En tant qu'utilisateur avec des besoins spécifiques,****Je veux** que l'application respecte les normes d'accessibilité,**Afin** de pouvoir utiliser toutes les fonctionnalités sans difficulté.
**Cr…
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![image](https://github.com/user-attachments/assets/db78465d-7f49-4ef6-b830-189b3f06283c)
参数以下:
--learning_rate 3e-5 \
--fp16 \
--num_train_epochs 2 \
--per_device_train_batch_size 4 \
--dataloa…
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Currently, we use fixed weights assigned to each loss component to balance contributions to the total loss. This leads to inefficient training behavior and trial and error search for different network…
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### 🚀 The feature, motivation and pitch
Hey team, i love building things from scratch, and as i was implementing the LLaMa paper by meta obviously using pytorch i saw that pytorch did not have a nn.r…
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Suggest adding a .NET extension for NORM. This would provide a .NET wrapper so that .NET applications can access the NORM C API. It would be similar to the existing Java and Python extensions.
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### System Information
OpenCV: 4.10.0
compiler: clang 17.0.6
Platform: almalinux9
cuda sdk: 12.3
### Detailed description
```
exception message: OpenCV(4.10.0) opencv-4.10.0/contrib/modules/cud…
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Hi,
I am attempting to perform a genome-guided assembly using Trinity. I have a BAM file aligned to the genome, and the command I used is:
singularity exec --bind /work /home/software/containers/tri…
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### Bug description
It seems that they updated the Gemma v1 2B weights. Something to look into:
```
⚡ main ~/litgpt litgpt chat checkpoints/google/gemma-2b
{'access_token': None,
'checkpoint_…
rasbt updated
2 months ago
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### Describe the feature and motivation
Currently OpenCV 5.x has 2 options for flags/bools:
- cv::Mat with CV_Bool type
- cv::Mat with CV_8U type or std::vector treated as bit array.
cv::norm do…