get_gpu
get_gpu is a Python package that simplifies GPU management in PyTorch projects. It helps users activate a GPU (if available) and move data to GPU memory for faster training and inference.
Features
- Automatically detect and use the GPU if available, else fallback to CPU.
- Transfer tensors or datasets to the selected device.
- Wrap PyTorch DataLoader to seamlessly move data to the GPU during iteration.
Installation
Install the package directly from PyPI:
pip install get-gpu
1 maintainer
Metadata
1 maintainer
Release files for gpu-active 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gpu-active-0.1.1.tar.gz | 2.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gpu_active-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.3 kB
Release files / gpu-active-0.1.1.tar.gz
| Download URL | gpu-active-0.1.1.tar.gz |
|---|---|
| Size | 2.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.1.1 CPython/3.11.9
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Release files / gpu_active-0.1.1-py3-none-any.whl
| Download URL | gpu_active-0.1.1-py3-none-any.whl |
|---|---|
| Size | 3.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.9
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