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Hello,
first of all, thank you very much for the very user-friendly package! Great work!
I am currently training a deep reinforcement learning agent that has a differentiable optimization as part …
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### System Info
```Shell
- `Accelerate` version: 0.34.2
- Platform: Linux-5.4.0-45-generic-x86_64-with-glibc2.31
- `accelerate` bash location: /home/gradevski/miniconda3/envs/summary_explainer_p…
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Hi,
I have been trying to use the ABE8e base editor model for my gRNAs, but I am getting stuck with running the model with your provide input file. The error suggests that the file is corrupted. I h…
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I face following error when i train my model on unseen speaker train.py
1- TypeError: 'threadsafe_iter' object is not an iterator
2-ValueError: output of generator should be a tuple `(x, y, sample…
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Hello,
I am trying to use this python module to either denoise or recreate the input data. I have the following code to try and train your model to denoise a few images coming from the CIFAR10 dat…
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Hi !
First, great work, from what I tested it seems to work really well, congrats !
I have an use case where I need to perform OCR/Layout analysis etc on computer screenshots. surya actually wo…
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In some situation, training code raises a device error:
```
cuda error: an illegal memory access was encountered
```
After debug I found that the main reason is `Tensor` used during the traini…
onpix updated
2 years ago
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First of all the training on CPU is very slow.
training script is running properly. But I am not able to get the correct detections at all.
I am getting something like 👍
b'NRRRRRRRRRRRRRRRRR…
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When I use trlx to fine-tune Flan-T5-Large with single GPU, the memory used is about 11GB; However, when I use accelerate for parallel training, the memory used is 4*16GB! I can't understand why is it…
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When I trained the model with GPU and the training data is very bigger, I found low utilization rate of GPU, namely about 11% and the utilization rate of CPU is about 110%. I want to know How to inc…