add method for input shape

src/anemoi/inference/checkpoint/metadata/__init__.py

@@ -334,3 +334,12 @@ def report_loading_error(self):
         LOG.error("Training provenance:\n%s", json.dumps(provenance_training, indent=2))
 
     ###########################################################################
+
+    @property
+    def predict_step_shape(self):
+        return (
+            1,  # Batch size
+            self.multi_step,  # Lagged time steps
+            self.number_of_grid_points,  # Grid points
+            self.num_input_features,  # Fields
+        )

src/anemoi/inference/checkpoint/metadata/version_0_1_0.py

@@ -100,3 +100,13 @@ def graph(self, graph):
             dataset["attrs"] = dataset.copy()
 
         return ZarrRequest(dataset).graph(graph)
+
+    @property
+    def number_of_grid_points(self):
+        from .version_0_2_0 import ZarrRequest
+
+        dataset = self._dataset.copy()
+        if "attrs" not in dataset:
+            dataset["attrs"] = dataset.copy()
+
+        return ZarrRequest(dataset).number_of_grid_points

src/anemoi/inference/checkpoint/metadata/version_0_2_0.py

@@ -136,6 +136,15 @@ def dump(self, indent=0):
     def graph_kids(self):
         return []
 
+    @property
+    def number_of_grid_points(self):
+        if "shape" in self.attributes:
+            return self.attributes["shape"][-1]
+        return {
+            "o96": 40_320,
+            "n320": 542_080,
+        }[self.attributes["resolution"].lower()]
+
 
 class Forward(DataRequest):
     @cached_property