Make search logging JAX-aware

autofit/non_linear/search/abstract_search.py

@@ -470,7 +470,20 @@ class represented by model M and gives a score for their fitness.
         """
         self.check_model(model=model)
 
-        logger.info(f"Starting non-linear search with {self.number_of_cores} cores.")
+        if getattr(analysis, "_use_jax", False):
+            try:
+                import jax
+                devices = jax.devices()
+                device = devices[0]
+                backend = device.platform.upper()
+                device_name = getattr(device, "device_kind", backend)
+                logger.info(
+                    f"Starting non-linear search with JAX ({backend}: {device_name})."
+                )
+            except Exception:
+                logger.info("Starting non-linear search with JAX.")
+        else:
+            logger.info(f"Starting non-linear search with {self.number_of_cores} cores.")
         self._log_process_state()
 
         model = analysis.modify_model(model)

autofit/non_linear/search/nest/nautilus/search.py

@@ -216,11 +216,14 @@ def fit_x1_cpu(self, fitness, model, analysis):
             the log likelihood the search maximizes.
         """
 
-        self.logger.info(
-            """
-            Running search where parallelization is disabled.
-            """
-        )
+        if analysis._use_jax:
+            self.logger.info(
+                "Running search with JAX vectorization (parallelization handled by JAX)."
+            )
+        else:
+            self.logger.info(
+                "Running search where parallelization is disabled."
+            )
 
         config_dict = self.config_dict_search
         try: