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name: Bug report | |
about: Create a report to help us improve | |
title: '' | |
labels: '' | |
assignees: '' | |
**Describe the bug** | |
A clear and concise description of what the bug is. | |
**To Reproduce** | |
Steps to reproduce the behavior: | |
1. In '...' directory, run command '...' | |
2. See error (copy&paste full log, including exceptions and **stacktraces**). | |
Please copy&paste text instead of screenshots for better searchability. | |
**Expected behavior** | |
A clear and concise description of what you expected to happen. | |
**Screenshots** | |
If applicable, add screenshots to help explain your problem. | |
**Desktop (please complete the following information):** | |
- OS: [e.g. Linux Ubuntu 20.04, Windows 10] | |
- PyTorch version (e.g., pytorch 1.7.1) | |
- CUDA toolkit version (e.g., CUDA 11.0) | |
- NVIDIA driver version | |
- GPU [e.g., Titan V, RTX 3090] | |
- Docker: did you use Docker? If yes, specify docker image URL (e.g., nvcr.io/nvidia/pytorch:20.12-py3) | |
**Additional context** | |
Add any other context about the problem here. | |