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I am currently using Surface Pro 11 to reproduce [AIPC_Inference.md#2-use-directml--onnx-runtime-to-run-phi-3-model](https://github.com/microsoft/Phi-3CookBook/blob/main/md/03.Inference/AIPC_Inference…
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### Your current environment
```
PyTorch version: 2.3.0+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A
OS: Ubuntu 20.04.5 LTS (x86_64)
GCC vers…
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### Your current environment
PyTorch version: 2.4.0+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A
OS: Ubuntu 22.04.4 LTS (x86_64)
GCC version: (U…
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### 🐛 Describe the bug
Issue summary:
As part of process to add CUDA ARM nightly wheel, we are seeing long build compilation time. Needs ~5hrs to compile https://github.com/pytorch/pytorch/actio…
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I have implemented an inference API using ONNX Runtime and FastAPI to process multiple prompts in batches, with the goal of improving efficiency. However, I've observed that performance is significant…
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### Your current environment
```text
Collecting environment information...
PyTorch version: 2.3.1+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A
…
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### 🐛 Describe the bug
>>> import torch
>>> torch.cuda.set_device(gpu_id)
Traceback (most recent call last):
File "", line 1, in
NameError: name 'gpu_id' is not defined
>>> torch.cuda.set_dev…
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### Checklist
- [X] 1. I have searched related issues but cannot get the expected help.
- [ ] 2. The bug has not been fixed in the latest version.
- [ ] 3. Please note that if the bug-related issue y…
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**System information**
- Have I written custom code: no
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux
- TensorFlow installed from (source or binary): source
- TensorFlow version…
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I am trying to run denseflow on docker. But i get this error. How can i resolve this?
**Input:**
docker run [docker_image:mytag] path/to/video -b=20 -a=tvl1 -s=1 -v
**Error:**
OpenCV(4.5.2) /ope…