update check for mxnet

src/gluonts/model/forecast_generator.py

@@ -83,12 +83,15 @@ def make_distribution_forecast(distr, *args, **kwargs) -> Forecast:
 
 
 def make_predictions(prediction_net, inputs: dict):
-    # MXNet predictors only support positional arguments
-    class_name = prediction_net.__class__.__module__
-    if class_name.startswith("gluonts.mx") or class_name.startswith("mxnet"):
-        return prediction_net(*inputs.values())
-    else:
-        return prediction_net(**inputs)
+    try:
+        # Feed inputs as positional arguments for MXNet block predictors
+        import mxnet as mx
+
+        if isinstance(prediction_net, mx.gluon.HybridBlock):
+            return prediction_net(*inputs.values())
+    except ImportError:
+        pass
+    return prediction_net(**inputs)
 
 
 class ForecastGenerator: