mirror of
https://github.com/clearml/clearml-serving
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20 lines
710 B
Python
20 lines
710 B
Python
from typing import Any
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import numpy as np
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# Notice Preprocess class Must be named "Preprocess"
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class Preprocess(object):
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def __init__(self):
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# set internal state, this will be called only once. (i.e. not per request)
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pass
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def preprocess(self, body: dict) -> Any:
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# we expect to get two valid on the dict x0, and x1
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return [[body.get("x0", None), body.get("x1", None)], ]
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def postprocess(self, data: Any) -> dict:
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# post process the data returned from the model inference engine
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# data is the return value from model.predict we will put is inside a return value as Y
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return dict(y=data.tolist() if isinstance(data, np.ndarray) else data)
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