crossfit
Multi Node Multi GPU Offline Inference and metric calculation library
Installation
Install this library using pip:
pip install crossfit
Installation from source (for cuda 12.x)
git clone https://github.com/rapidsai/crossfit.git
cd crossfit
pip install --extra-index-url https://pypi.nvidia.com ".[cuda12x]"
Usage
Usage instructions go here.
Development
To contribute to this library, first create a conda environment with the necessary dependencies:
cd crossfit
mamba env create -f conda/environments/cuda_dev.yaml
conda activate crossfit_dev
Now install the dependencies and test dependencies:
pip install -e '.[test]'
To run the tests:
pytest
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
crossfit-0.0.9.tar.gz
(97.4 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
crossfit-0.0.9-py3-none-any.whl
(178.6 kB
view details)
File details
Details for the file crossfit-0.0.9.tar.gz.
File metadata
- Download URL: crossfit-0.0.9.tar.gz
- Upload date:
- Size: 97.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
02bdea9adf611512199310e10b73ed5ff4781d903dd09f8426fc72bc71e975e8
|
|
| MD5 |
4a20f638091dc3b944eeb882c6147ecf
|
|
| BLAKE2b-256 |
b1cf1ae2e5c8f6dbe4c8958f1a9b05d0bbc66142b29a4635aa03ee111dba6545
|
File details
Details for the file crossfit-0.0.9-py3-none-any.whl.
File metadata
- Download URL: crossfit-0.0.9-py3-none-any.whl
- Upload date:
- Size: 178.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
860212bf138a4199d20ed80c8720df3401a0f5632899d77ac320445f3a94cd35
|
|
| MD5 |
2e1c1b7271202c45e3e6a54062c7faa5
|
|
| BLAKE2b-256 |
346d0462406db4cba83b3d2aa5cdc03e6ab5c90397d9de2d7e0a8291814affa1
|