fix[next-dace]: Remove workaround for gpu codegen issue (requires new dace codegn)

pyproject.toml

@@ -11,7 +11,7 @@ dace-cartesian = [
   'dace>=1.0.2'  # refined in [tool.uv.sources]
 ]
 dace-next = [
-  'dace==43!2026.04.27'  # uses custom index at 'https://github.com/GridTools/pypi'
+  'dace==2.3.5'  # uses custom index at 'https://github.com/GridTools/pypi'
 ]
 dev = [
   {include-group = 'build'},
@@ -486,7 +486,7 @@ url = 'https://gridtools.github.io/pypi/'
 atlas4py = {index = "test.pypi"}
 dace = [
   {git = "https://github.com/GridTools/dace", branch = "romanc/stree-v2", group = "dace-cartesian"},
-  {index = "gridtools", group = "dace-next"}
+  {git = "https://github.com/philip-paul-mueller/dace", branch = "phimuell__new-gpu-codegen-dev", group = "dace-next"}
 ]
 
 # -- versioningit --

src/gt4py/next/program_processors/runners/dace/lowering/gtir_dataflow.py

@@ -709,12 +709,7 @@ def _visit_if_branch_arg(
             inner_desc = arg_desc.clone()
             inner_desc.transient = False
         elif isinstance(arg.gt_dtype, ts.ScalarType):
-            if isinstance(arg, MemletExpr) and len(arg.gt_field.dims) == 1:
-                # TODO(edopao): we cannot use a scalar because of an issue in gpu codegen,
-                # which leads to compilation error: cannot convert 'const double' to 'const double*'
-                inner_desc = dace.data.Array(dtype=arg_desc.dtype, shape=(1,))
-            else:
-                inner_desc = dace.data.Scalar(arg_desc.dtype)
+            inner_desc = dace.data.Scalar(arg_desc.dtype)
         else:
             # for list of values, we retrieve the local size from the corresponding offset
             local_dim = arg.gt_dtype.offset_type
@@ -837,16 +832,9 @@ def _visit_if_branch_result(
             # If the result is currently written to a transient node, inside the nested SDFG,
             # we need to allocate a non-transient data node.
             result_desc = edge.result.dc_node.desc(sdfg)
-            if isinstance(sym.type, ts.ScalarType) and isinstance(result_desc, dace.data.Array):
-                # TODO(edopao): a scalar should not be represented as an array, but
-                # currently this can happen because of an issue workaround, see the
-                # todo comment above in `_visit_if_branch_arg()`.
-                assert len(result_desc.shape) == 1 and result_desc.shape[0] == 1
-                _, output_desc = sdfg.add_scalar(output_data, result_desc.dtype)
-            else:
-                output_desc = result_desc.clone()
-                output_desc.transient = False
-                output_data = sdfg.add_datadesc(output_data, output_desc, find_new_name=True)
+            output_desc = result_desc.clone()
+            output_desc.transient = False
+            output_data = sdfg.add_datadesc(output_data, output_desc, find_new_name=True)
         output_node = state.add_access(output_data)
         state.add_nedge(
             edge.result.dc_node,