feat[next][dace]: Remove offsets in connectivity arrays

src/gt4py/next/program_processors/runners/dace_iterator/__init__.py

@@ -140,16 +140,23 @@ def get_shape_args(
     return shape_args
 
 
-def get_offset_args(
-    sdfg: dace.SDFG,
-    args: Sequence[Any],
-) -> Mapping[str, int]:
+def get_offset_args(sdfg: dace.SDFG, args: Sequence[Any]) -> Mapping[str, int]:
     sdfg_arrays: Mapping[str, dace.data.Array] = sdfg.arrays
     sdfg_params: Sequence[str] = sdfg.arg_names
+    field_args = {param: arg for param, arg in zip(sdfg_params, args) if common.is_field(arg)}
+
+    # assume that arrays for connectivity tables do not use offset
+    assert all(
+        drange.start == 0
+        for sdfg_param, arg in field_args.items()
+        if sdfg_param.startswith("__connectivity")
+        for drange in arg.domain.ranges
+    )
+
     return {
         str(sym): -drange.start
-        for sdfg_param, arg in zip(sdfg_params, args)
-        if common.is_field(arg)
+        for sdfg_param, arg in field_args.items()
+        if not sdfg_param.startswith("__connectivity")
         for sym, drange in zip(sdfg_arrays[sdfg_param].offset, get_sorted_dim_ranges(arg.domain))
     }
 
@@ -331,6 +338,8 @@ def build_sdfg_from_itir(
         symbols: dict[str, int] = {}
         device = dace.DeviceType.GPU if on_gpu else dace.DeviceType.CPU
         sdfg = autoopt.auto_optimize(sdfg, device, symbols=symbols, use_gpu_storage=on_gpu)
+    elif on_gpu:
+        autoopt.apply_gpu_storage(sdfg)
 
     if on_gpu:
         sdfg.apply_gpu_transformations()