If you create a custom transformer containing transformers that are linked to user parameters, those will automatically move from being workspace user parameters to being user parameters within the custom transformer.

If you create a custom transformer containing transformers that are linked to user parameters, those will automatically move from being workspace user parameters to being user parameters within the custom transformer.

• A. True
• B. False
• C. The move depends on the transformer
• D. They remain workspace parameters

Answer: (A)

When you nest a network inside a custom transformer, a new parameter scope is created for that custom transformer. A custom transformer defines its own user parameters that form its interface. If the inner transformers are tied to parameters, those bindings are promoted to the custom transformer’s parameter interface so the transformer remains self-contained and portable. That automatic promotion means a parameter that was previously a workspace-level (workspace) user parameter becomes a parameter of the custom transformer. The custom transformer users then set these parameters on the transformer itself, not on the workspace. This preserves the behavior of the inner network while making the custom transformer reusable in other workspaces without depending on the original workspace’s parameter definitions.

When you nest a network inside a custom transformer, a new parameter scope is created for that custom transformer. A custom transformer defines its own user parameters that form its interface. If the inner transformers are tied to parameters, those bindings are promoted to the custom transformer’s parameter interface so the transformer remains self-contained and portable.

That automatic promotion means a parameter that was previously a workspace-level (workspace) user parameter becomes a parameter of the custom transformer. The custom transformer users then set these parameters on the transformer itself, not on the workspace. This preserves the behavior of the inner network while making the custom transformer reusable in other workspaces without depending on the original workspace’s parameter definitions.