Row 5069
Content Data
This page contains data entry 5069 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
[https://blog.tteles.dev/posts/gpu-tensorflow-pytorch-cuda-wsl/](https://blog.tteles.dev/posts/gpu-tensorflow-pytorch-cuda-wsl/)
I spent 2 days attempting to configure GPU acceleration for TF and PyTorch and condensed it into a 10 minute guide, where most of the time is spent on downloads. None of the guides I found online worked for me.
I'd be very happy to receive feedback.
I have posted this on r/CUDA before, and already incorporated some suggestions.
| Field | Value |
|---|---|
| text | [https://blog.tteles.dev/posts/gpu-tensorflow-pytorch-cuda-wsl/](https://blog.tteles.dev/posts/gpu-tensorflow-pytorch-cuda-wsl/) I spent 2 days attempting to configure GPU acceleration for TF and PyTorch and condensed it into a 10 minute guide, where most of the time is spent on downloads. None of the guides I found online worked for me. I'd be very happy to receive feedback. I have posted this on r/CUDA before, and already incorporated some suggestions. |
| label | r/pytorch |
| dataType | post |
| communityName | r/pytorch |
| datetime | 2024-04-25 |
| username_encoded | Z0FBQUFBQm5LakwycG1scklzRkFTYUxkRk9pcER6ZXY4dU9Ca01FUF9helpGZmpOaW43b1puZlJRRm1ZeVc5QjhERDBkLWlPdnpMMzgzWHJlTllidi10cHI5T3hmb05MQkE9PQ== |
| url_encoded | Z0FBQUFBQm5Lak9Ga3hPamNqNWgwTVBXRTlVOGFyRWd1anJxcW1YSmc3Y2hwdzhERE81bUxtelNIQjJjdDRMaDBzc3JCREVzd25hUmx4SUdwSzF6c1dRSXMwMkJqMVVvWWdaSDNGNFRsbDZ5LXNlRDBMT2dsdlZVSXZ4VEM0SzE4WGpzbEFiZ3h5MXMzcF9LR3NDcjdBUEVwS2ktUHdNbjNkRkpyd0cwazhiQWRTVThQeTZldHJnUUk5QUk1R2JzaUlMNTdIdnRYQTRadVRWOVRmTmMtR2h6RGFyZkVGYk11Zz09 |
Raw Record
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"text": "[https://blog.tteles.dev/posts/gpu-tensorflow-pytorch-cuda-wsl/](https://blog.tteles.dev/posts/gpu-tensorflow-pytorch-cuda-wsl/) \n\nI spent 2 days attempting to configure GPU acceleration for TF and PyTorch and condensed it into a 10 minute guide, where most of the time is spent on downloads. None of the guides I found online worked for me. \n\nI'd be very happy to receive feedback.\n\nI have posted this on r/CUDA before, and already incorporated some suggestions.",
"label": "r/pytorch",
"dataType": "post",
"communityName": "r/pytorch",
"datetime": "2024-04-25",
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}
Entry Information
- Entry ID: 5069
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000