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Hi, thanks for sharing the nice work and code!
I am running inference on the provided example images using the pretrained Places2 model. However, the generated images I get have pretty inconsisten…
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Let's revision Bolts and breathe some fresh air into them! As outlined in #819 and on a Slack channel, we will revisit every single feature within Bolts.
Please sign up for a feature which you'd li…
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I keep getting a segmentation fault when I try to run diarize.py on a wav file. What could be the issue?
```
python diarize.py -a data_afjiv.wav
[NeMo W 2024-09-25 20:30:13 nemo_logging:349] /Us…
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I recently ported the YOLOv8 object detection model to Axon, and just wanted to share my experiences with it.
https://github.com/hansihe/yolov8_elixir
- The deployment story seems a lot better t…
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I am trying to load a model that has multiple inputs and outputs. I followed you example but I keep getting segmentation faults errors.
The model is created using the following python code:
```
d…
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oeway updated
3 years ago
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First, thanks a lot for your amazing job, it is so helpful!
**Describe the bug**
I tried to convert a pretrained model of PointPillars (Kitti 3class) to tensorrt but the conversion failed. To be…
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---
name: Bug Report
about: TypeError: can't convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first.
title: "[BUG] "
labels: bug
assignees: ''
-…
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### Describe the bug
File "/mnt/d/projects/pytorch/torch_dataset/mvtec_test.py", line 69, in
trainer.fit(model=model, datamodule=datamodule)
ValueError: The `.compute()` return of the metric …
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### Your current environment
Collecting environment information...
PyTorch version: N/A
Is debug build: N/A
CUDA used to build PyTorch: N/A
ROCM used to build PyTorch: N/A
OS: Ubuntu 22.04 LTS…