version 0.1.13
from dg_ai_platform.example import HelloWorld
from dg_ai_platform.dg_platform import CaldronAI
ca = CaldronAI(HelloWorld, pid="xxxx", public_key="xxxx")
ca.run()
from dg_ai_platform.dg_platform import ITaskProcess
class CustomTask(ITaskProcess):
def __init__(self):
super().__init__()
def inference(self, input_list, output_list, options=None):
#your logic
- param input_list: all inputs local path in this array. You should be load your all inputs then put it to your model.
- param output_list: all outputs local path in this array. You should be save your outputs to these outputs path.
- param options: This is a json data.
from your_python_file import CustomTask
from dg_ai_platform.dg_platform import CaldronAI
ca = CaldronAI(CustomTask, pid="xxxx", public_key="xxxx")
ca.run()