ComputeFence
Pre-flight validation for GPU training runs on rented infrastructure. Built specifically for RunPod, Vast.ai, Lambda, and similar providers.
Install
pip install computefence
Usage
computefence doctor computefence doctor --dataset train.csv
What it checks
- CUDA and GPU availability
- HuggingFace cache volume path (catches the RunPod /root vs /workspace conflict)
- Accelerate GPU count vs config
- Dataset duplicates and missing values
What it does not yet check
- Training script correctness
- Model architecture compatibility
- Learning rate or hyperparameter safety
- Runtime monitoring during the job
Why this exists
I burned ~£1,000 on GPU training runs that failed silently. CUDA fell back to CPU with no error. Class weights caused loss collapse. My dataset had 28,432 duplicate rows and 312 conflicting labels I only found during the rebuild.
Nothing existed that caught these before the job started. So I built it.
1 maintainer
Metadata
1 maintainer
Release files for computefence 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| computefence-0.2.0.tar.gz | 8.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| computefence-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.6 kB
Release files / computefence-0.2.0.tar.gz
| Download URL | computefence-0.2.0.tar.gz |
|---|---|
| Size | 8.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.3
|
Release files / computefence-0.2.0-py3-none-any.whl
| Download URL | computefence-0.2.0-py3-none-any.whl |
|---|---|
| Size | 9.8 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.3
|
