nebulous-py
A declarative python library for the Nebulous runtime
Installation
pip install nebu
Usage
Create a pytorch container on runpod with 1 A100 GPU
from nebu import Container, V1EnvVar
container = Container(
name="pytorch-example",
namespace="test",
image="pytorch/pytorch:latest",
platform="runpod",
env=[V1EnvVar(name="MY_ENV_VAR", value="my-value")],
command="nvidia-smi",
accelerators=["1:A100_SXM"],
proxy_port=8080,
)
while container.status.status.lower() != "running":
print(f"Container '{container.metadata.name}' is not running, it is '{container.status.status}', waiting...")
time.sleep(1)
print(f"Container '{container.metadata.name}' is running")
print(f"You can access the container at {container.status.tailnet_url}")
Decorator
Run a python function in a container [in progress]
from nebu import container
@container(image="python:3.10-slim", accelerators=["1:A100_SXM"])
def my_function(x: int, y: int) -> int:
return x + y
result = my_function(1, 2)
print(result)
Contributing
Please open an issue or a PR to contribute to the project.
Development
make test
3 maintainers
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