build: bump dace version

ci/cscs-ci-dace-determinism.yml

@@ -64,7 +64,6 @@ build_cscs_amd_rocm:
     USE_MPI: 0 # TODO(havogt): to workaround the libfabric hook injecting incompatible libraries
     SLURM_JOB_NUM_NODES: 1
     SLURM_TIMELIMIT: 60
-  allow_failure: true
   artifacts:
     when: always
     paths:

pyproject.toml

@@ -98,7 +98,7 @@ dependencies = [
   'click>=8.0.0',
   'cmake>=3.22',
   'cytoolz>=1.0.1',
-  'dace>=2.0.0a5',
+  'dace>=2.0.0a6',
   'deepdiff>=8.1.0',
   'devtools>=0.6',
   'factory-boy>=3.3.3',

src/gt4py/cartesian/backend/dace_backend.py

@@ -596,8 +596,6 @@ def keep_line(line: str) -> bool:
             line = line.strip()
             if line == '#include "../../include/hash.h"':
                 return False
-            if line.startswith("DACE_EXPORTED") and line.endswith(");"):
-                return False
             if line == "#include <cuda_runtime.h>":
                 return False
             return True

src/gt4py/next/program_processors/runners/dace/workflow/common.py

@@ -83,14 +83,10 @@ def set_dace_config(
     #   creating any further sub-folder to compile the SDFG.
     dace.Config.set("cache", value="single")
 
-    # Workaround to disable detection of the CUDA architecture in DaCe, and instead use the one provided by GT4Py.
-    # TODO(edopao): revisit this workaround once it is possible to disable GPU detection in DaCe.
-    # (see https://github.com/spcl/dace/pull/2424)
+    # Disable detection of the CUDA architecture in DaCe, and instead use the one provided by GT4Py.
     if device_arch := gtx_compilation_common.get_device_arch():
-        dace.Config.set(
-            "compiler.extra_cmake_args",
-            value=f"-DLOCAL_CUDA_ARCHITECTURES={device_arch}",
-        )
+        dace.Config.set("compiler.cuda.cuda_arch", value=device_arch)
+        dace.Config.set("compiler.cuda.hip_arch", value=device_arch)
 
     # Prevents the implicit change of Memlets to Maps. Instead they should be handled by
     #  `gt4py.next.program_processors.runners.dace.transfromations.gpu_utils.gt_gpu_transform_non_standard_memlet()`.