GradScope
GradScope is a small, focused library that watches your training loops and tells you when gradients, metrics, or weight updates go bad.
- 2-line attach for PyTorch and TensorFlow
- Automatic collection of gradients, updates, drift, and metrics
- Rich alerting, summaries, diffing, export, CLI, and web API
- Lightweight FastAPI dashboard for quick inspection of runs
- Git-aware run metadata (commit, branch, dirty state) for reproducibility
For full documentation and examples, see docs/README.md.
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Release files for gradscope 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gradscope-0.1.0.tar.gz | 20.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gradscope-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 38.7 kB
Release files / gradscope-0.1.0.tar.gz
| Download URL | gradscope-0.1.0.tar.gz |
|---|---|
| Size | 20.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / gradscope-0.1.0-py3-none-any.whl
| Download URL | gradscope-0.1.0-py3-none-any.whl |
|---|---|
| Size | 17.9 kB |
| Tags | Python 3 |
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twine/6.2.0 CPython/3.13.3
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