use Target.HIP

src/pystencilssfg/ir/call_tree.py

@@ -226,13 +226,12 @@ class SfgGpuKernelInvocation(SfgCallTreeNode):
         shared_memory_bytes: SfgStatements | None,
         stream: SfgStatements | None,
     ):
-        from pystencils import Target
         from pystencils.codegen import GpuKernel
 
         kernel = kernel_handle.kernel
-        if not (isinstance(kernel, GpuKernel) and kernel.target == Target.CUDA):
+        if not isinstance(kernel, GpuKernel):
             raise ValueError(
-                "An `SfgCudaKernelInvocation` node can only call a CUDA kernel."
+                "An `SfgGpuKernelInvocation` node can only call GPU kernels."
             )
 
         super().__init__()

tests/generator_scripts/source/HipKernels.py

@@ -14,7 +14,7 @@ with SourceFileGenerator() as sfg:
     sfg.use_hip()
     sfg.namespace("gen")
 
-    base_config = ps.CreateKernelConfig(target=ps.Target.CUDA)
+    base_config = ps.CreateKernelConfig(target=ps.Target.HIP)
 
     block_size = sfg.gpu_api.dim3().var("blockSize")
     grid_size = sfg.gpu_api.dim3().var("gridSize")