Accelrod
Installation
pip install -U accelrod
[all] includes nbformat to visualize the result in notebook
pip install -U accelrod[all]
Example
import torch
from accelrod.benchmark import benchrun, plot_result
# without max_dimension, the matrix size will be determined based on available VRAM
result = benchrun(
algorithm="GEMM",
device="auto",
as_dataframe="pandas",
params={
# "max_dimension": 2048,
"dtype": [torch.float32, torch.float16, torch.bfloat16],
},
)
# plot in notebook
import plotly.offline as pyo
pyo.init_notebook_mode()
plot_result(result)
Developer guide
Setup working env / dependencies
Sync the project's dependencies with the environment.
uv sync
lock dependencies declared in a pyproject.toml
uv pip compile pyproject.toml -o requirements.txt
Add dev dependencies
uv add --dev ruff pytest
Editable Installs
uv pip install -e .[all,dev]
Test package with local build
uv pip install dist/accelrod-0.1.0-py3-none-any.whl uv run --with accelrod --no-project --refresh-package accelrod -- python -c "import accelrod"
1 maintainer
Metadata
1 maintainer
Release files for accelrod 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| accelrod-0.1.0.tar.gz | 9.0 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| accelrod-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.6 kB
Release files / accelrod-0.1.0.tar.gz
| Download URL | accelrod-0.1.0.tar.gz |
|---|---|
| Size | 9.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / accelrod-0.1.0-py3-none-any.whl
| Download URL | accelrod-0.1.0-py3-none-any.whl |
|---|---|
| Size | 9.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.8
|
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Signed by GitHub Actions, verified by PyPI on Feb 12, 2025.
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