[cm] Small bug fixes

Author: christhetree

neutone_sdk/non_realtime_wrapper.py

@@ -108,6 +108,11 @@ def __init__(self, model: nn.Module, use_debug_mode: bool = True) -> None:
 
         self.n_numerical_params = self.n_cont_params + self.n_cat_params
 
+        assert self.get_default_param_values().size(0) == self.n_numerical_params, (
+            f"Default parameter values tensor first dimension must have the same  "
+            f"size as the number of numerical parameters. Expected size "
+            f"{self.n_numerical_params}, got {self.get_default_param_values().size(0)}"
+        )
         assert self.n_numerical_params <= constants.NEUTONE_GEN_N_NUMERICAL_PARAMS, (
             f"Too many numerical (continuous and categorical) parameters. "
             f"Max allowed is {constants.NEUTONE_GEN_N_NUMERICAL_PARAMS}"
@@ -146,10 +151,7 @@ def __init__(self, model: nn.Module, use_debug_mode: bool = True) -> None:
             ]
 
         # TODO(cm): this statement will also be removed once core is refactored
-        assert (
-            len(self.get_default_param_names())
-            == constants.NEUTONE_GEN_N_NUMERICAL_PARAMS
-        )
+        assert len(self.get_default_param_names()) == self.n_numerical_params
 
         assert all(
             1 <= n <= 2 for n in self.get_audio_in_channels()
@@ -194,7 +196,6 @@ def _create_default_param_values(self) -> Tensor:
             elif p.type == NeutoneParameterType.CATEGORICAL:
                 # Convert to float to match the type of the continuous parameters
                 numerical_default_values.append(float(p.default_value))
-        assert len(numerical_default_values) == self.n_numerical_params
         numerical_default_values = tr.tensor(numerical_default_values)
         return numerical_default_values