-
```
Traceback (most recent call last):
File "C:\Users\*user*\Desktop\*dataset path*\yolov7-custom\train.py", line 616, in
train(hyp, opt, device, tb_writer)
File "C:\Users\*user*\Desktop\…
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CLIP training example is broken.
raise this error:
`TypeError: 'JpegImageFile' object is not subscriptable`
in this section line 151:
https://github.com/UKPLab/sentence-transformers/blob/f…
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### Bug description
When running the pretraining example:
```python
mkdir -p custom_texts
curl https://www.gutenberg.org/cache/epub/24440/pg24440.txt --output custom_texts/book1.txt
curl http…
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### 📚 The doc issue
Documentation to be updated: https://pytorch.org/docs/stable/data.html
Problem: Looking at https://discuss.pytorch.org/t/force-dataloader-to-fetch-batched-index-from-custom-bat…
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I’m encountering a memory issue during the **testing** phase of a semantic segmentation task on a custom dataset. The training phase proceeds without any issues, but during testing, the memory usage c…
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Hi, I am interested in your simulator for road graph.
After reading the Waymax documentation in https://waymo-research.github.io/waymax/docs/autoapi/waymax/datatypes/roadgraph/index.html, I have know…
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我的训练集数据量很大,有上百万,直接读取训练会OOM,所以使用streaming模式读取数据,但是发现训练速度很慢。
发现gpu的利用率很低
cpu直接被打满了
训练参数
```
SftArguments(train_type='sft', model_type='internvl2-8b', model_revision='master', full_deter…
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Hi, Thanks your great job.
Now I am trying to train a custom dataset with yolo label format and train well in yoloV7 and V9. I am trying to train it use RT_DETR with pytorch version.
I found a tra…
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I have this piece of code:
```
batch_size = 8
with converter_train.make_torch_dataloader(transform_spec=transform, batch_size=batch_size, num_epochs=1) as dataloader_train, \
converter_test.ma…
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Hi,
I meet an issue about the memory leak. here is my usage,
The code below is fine with the default dataloader in PyTorch, the memory usage is stable.
If I use the `BackgroundGenerator` to …
jdxyw updated
9 months ago