RedisAI / mlflow-redisai

RedisAI integration for MLFlow
https://redisai.io
Apache License 2.0
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Is this library still working or deprecated? #12

Open sdhawan81 opened 1 year ago

sdhawan81 commented 1 year ago

For me when running - mlflow deployments create -t redisai -m model-uri --name redis-key is giving below error -

Traceback (most recent call last): File "/home/ubuntu/anaconda3/bin/mlflow", line 8, in <module> sys.exit(cli()) File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/click/core.py", line 764, in __call__ return self.main(*args, **kwargs) File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/click/core.py", line 717, in main rv = self.invoke(ctx) File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/click/core.py", line 1137, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/click/core.py", line 1137, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/click/core.py", line 956, in invoke return ctx.invoke(self.callback, **ctx.params) File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/click/core.py", line 555, in invoke return callback(*args, **kwargs) File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/mlflow/deployments/cli.py", line 145, in create_deployment deployment = client.create_deployment(name, model_uri, flavor, config=config_dict) File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/mlflow_redisai/__init__.py", line 122, in create_deployment flavor = get_preferred_deployment_flavor(model_config) File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/mlflow_redisai/utils.py", line 78, in get_preferred_deployment_flavor error_code=RESOURCE_DOES_NOT_EXIST) mlflow.exceptions.MlflowException: The specified model does not contain any of the supported flavors for deployment. The model contains the following flavors: dict_keys(['python_function']). Supported flavors: ['torchscript', 'tensorflow']

alonre24 commented 1 year ago

As far as we know, it should still work against mlflow 1.19. Can you share your model-uri so we can try to reproduce it? Thanks