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I have a question regarding OptiGuide. Due to token size limitations, it appears that OptiGuide struggles to handle large optimization problems. For instance, in the coffee problem, when the number of…
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**Problem**
I am trying to implement something like this
```
test_sampler2 = CustomTaskSampler(
support_dataset=support_dataset,
query_dataset=query_dataset,
n_way=N_WAY,
…
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## How to implement `bucket_by_sequence_length` with IterableDataset and DataLoader?
I have a custom **IterableDataset** for question answering, which reads training data from a huge file. And I wa…
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In our PyG example, `train_sampler` was defined like this:
```
train_sampler = DistributedSampler(
train_idx,
num_replicas = world_size,
rank=rank
…
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I want to train p2pnet with my custom dataset. While training, I am facing an issue in the collate_fn_crowd(batch) function:
```
def collate_fn_crowd(batch):
# re-organize the batch
batch_…
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I extended the training and evaluation process here [https://huggingface.co/transformers/custom_datasets.html#fine-tuning-with-native-pytorch-tensorflow](url) to save the fine-tuned model and use it f…
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first thanks for your code.
but TBH, why the code for dataloader is so complex and so hard to read???
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Hi,
I am working on a underwater 3D reconstruction project, and wanted to first establish a backbone 3D reconstruction library and then build on top of it. HengyiWang(Co-SLAM ) suggested thaT your c…
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# Christian Mills - Training YOLOX Models for Real-Time Object Detection in Pytorch
Learn how to train YOLOX models for real-time object detection in PyTorch by creating a hand gesture detection mode…
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I'm trying to train this `yolov9-e.pt` model on a custom dataset.
Here's my command-line argument:
`!python train_dual.py \
--batch 64 --epochs 25 --img 640 --device 0 --min-items 0 --close-m…