feat[dace][next]: Fixing strides in optimization

src/gt4py/next/program_processors/runners/dace_fieldview/transformations/__init__.py

@@ -35,7 +35,13 @@
     gt_simplify,
     gt_substitute_compiletime_symbols,
 )
-from .strides import gt_change_transient_strides
+from .strides import (
+    gt_change_transient_strides,
+    gt_map_strides_to_dst_nested_sdfg,
+    gt_map_strides_to_src_nested_sdfg,
+    gt_propagate_strides_from_access_node,
+    gt_propagate_strides_of,
+)
 from .util import gt_find_constant_arguments, gt_make_transients_persistent
 
 
@@ -59,6 +65,10 @@
     "gt_gpu_transformation",
     "gt_inline_nested_sdfg",
     "gt_make_transients_persistent",
+    "gt_map_strides_to_dst_nested_sdfg",
+    "gt_map_strides_to_src_nested_sdfg",
+    "gt_propagate_strides_from_access_node",
+    "gt_propagate_strides_of",
     "gt_reduce_distributed_buffering",
     "gt_set_gpu_blocksize",
     "gt_set_iteration_order",

src/gt4py/next/program_processors/runners/dace_fieldview/transformations/gpu_utils.py

@@ -95,7 +95,7 @@ def gt_gpu_transformation(
 
     if try_removing_trivial_maps:
         # In DaCe a Tasklet, outside of a Map, can not write into an _array_ that is on
-        #  GPU. `sdfg.appyl_gpu_transformations()` will wrap such Tasklets in a Map. So
+        #  GPU. `sdfg.apply_gpu_transformations()` will wrap such Tasklets in a Map. So
         #  we might end up with lots of these trivial Maps, each requiring a separate
         #  kernel launch. To prevent this we will combine these trivial maps, if
         #  possible, with their downstream maps.

src/gt4py/next/program_processors/runners/dace_fieldview/transformations/simplify.py

@@ -950,7 +950,7 @@ def _perform_pointwise_test(
 
     def apply(
         self,
-        graph: dace.SDFGState | dace.SDFG,
+        graph: dace.SDFGState,
         sdfg: dace.SDFG,
     ) -> None:
         # Removal
@@ -971,6 +971,9 @@ def apply(
             tmp_out_subset = dace_subsets.Range.from_array(tmp_desc)
         assert glob_in_subset is not None
 
+        # Recursively visit the nested SDFGs for mapping of strides from inner to outer array
+        gtx_transformations.gt_map_strides_to_src_nested_sdfg(sdfg, graph, map_to_tmp_edge, glob_ac)
+
         # We now remove the `tmp` node, and create a new connection between
         #  the global node and the map exit.
         new_map_to_glob_edge = graph.add_edge(