24 lines
674 B
Python
24 lines
674 B
Python
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import mlflow
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import mlflow.pytorch
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from mlflow.tracking import MlflowClient
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import numpy as np
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import torch
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import json
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#mlflow.set_tracking_uri("http://127.0.0.1:5000")
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mlflow.set_tracking_uri("http://172.17.0.1:5000")
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client = MlflowClient()
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version = 0
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model_name = "s426206"
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for mv in client.search_model_versions("name='s426206'"):
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if int(mv.version) > version:
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version = int(mv.version)
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model = mlflow.pytorch.load_model(
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model_uri=f"models:/{model_name}/{version}"
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)
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with open('my_model/input_example.json') as json_file:
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data = json.load(json_file)
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#print(np.array(data['inputs']))
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print(model(torch.tensor(np.array(data['inputs'])).float()))
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