JetBrains Cadence CLI
Project description
Cadence CLI
Install
pip install jetbrains-cadence
This will create a cadence script in your current environment.
Getting Started
cadence login
If you want to use Cadence CLI in the non-interactive environment, you
can create the token manually and pass it via
CADENCE_TOKEN environment variable
Start the execution from YAML config
cadence execution start --preset path/to/config.yaml
This will print the ID of the started execution.
Basic Example
working_dir: .
cmd:
- python3 main.py
description: basic preset
provisioning:
gpu_type: H200
gpu_count: 1
env:
python:
version: 3.11
pip:
requirements_path: requirements.txt
project_sync:
local:
root: .
storage_name: Cadence Storage
uri: ""
storage_type: DEFAULT
outputs:
- type: OUTPUT
storage_name: Cadence Storage
uri: ""
path: outputs # `./outputs` will be saved to S3
storage_type: DEFAULT
More Examples
Please see the cadence-examples repository for more in-depth examples.
Project details
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