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I have been trying SDV for many months. I have multiple environments running with different SDV versions
I train and save a synthesizer on the latest SDV version (1.10.0)
Later, I accidentally re-load that synthesizer in an environment with an older version (eg. in my other environment with 1.9.0)
Some features don't work and error out. It is difficult to debug why this is happening.
Note that in this case, it is expected that some features may error, as SDV does not offer forwards compatibility. That is to say, if you downgrade your SDV version (in step 3), there is no guarantee that anything will work.
Expected behavior
Create a new VersionError type and show this if I try to load any synthesizer in this scenario.
Problem Description
Consider the following scenario:
Note that in this case, it is expected that some features may error, as SDV does not offer forwards compatibility. That is to say, if you downgrade your SDV version (in step 3), there is no guarantee that anything will work.
Expected behavior
Create a new
VersionError
type and show this if I try to load any synthesizer in this scenario.Additional context
Apply this error to all synthesizers (available to public and enterprise)
Note that the trained version is available under
synthesizer.get_info()
(the enterprise version may not be -- perhaps we should add this)The text was updated successfully, but these errors were encountered: