diff --git a/src/pystencils/codegen/config.py b/src/pystencils/codegen/config.py
index 821bb7e075ed789f34782d92a4d50ddca973d5ef..a765dea2e706ab951806adf8d0f7f9352b80bbb3 100644
--- a/src/pystencils/codegen/config.py
+++ b/src/pystencils/codegen/config.py
@@ -586,6 +586,8 @@ class CreateKernelConfig(ConfigBase):
match t:
case Target.CurrentCPU:
return Target.auto_cpu()
+ case Target.CurrentGPU:
+ return Target.auto_gpu()
case _:
return t
@@ -600,7 +602,7 @@ class CreateKernelConfig(ConfigBase):
from ..jit import LegacyCpuJit
return LegacyCpuJit()
- elif target == Target.CUDA:
+ elif target == Target.CUDA or target == Target.HIP:
try:
from ..jit.gpu_cupy import CupyJit
@@ -611,7 +613,7 @@ class CreateKernelConfig(ConfigBase):
return no_jit
- elif target == Target.SYCL or target == Target.HIP:
+ elif target == Target.SYCL:
from ..jit import no_jit
return no_jit
diff --git a/src/pystencils/codegen/target.py b/src/pystencils/codegen/target.py
index 03364af28951736a02fb105f578985799543d70b..c4b08b95c573b2cf047fe1d201015948f3799512 100644
--- a/src/pystencils/codegen/target.py
+++ b/src/pystencils/codegen/target.py
@@ -126,6 +126,18 @@ class Target(Flag):
else:
return Target.GenericCPU
+ @staticmethod
+ def auto_gpu() -> Target:
+ try:
+ import cupy
+
+ if cupy.cuda.runtime.is_hip:
+ return Target.HIP
+ else:
+ return Target.CUDA
+ except ImportError:
+ raise RuntimeError("Cannot infer GPU target since cupy is not installed.")
+
@staticmethod
def available_targets() -> list[Target]:
targets = [Target.GenericCPU]
diff --git a/src/pystencils/jit/gpu_cupy.py b/src/pystencils/jit/gpu_cupy.py
index d45abf8786e8fc1789f8eae551a07b6aa556db67..1461bfd7aacad6e9311de3315133586d153159c7 100644
--- a/src/pystencils/jit/gpu_cupy.py
+++ b/src/pystencils/jit/gpu_cupy.py
@@ -208,7 +208,11 @@ class CupyKernelWrapper(KernelWrapper):
class CupyJit(JitBase):
def __init__(self, default_block_size: Sequence[int] = (128, 2, 1)):
- self._runtime_headers = {"<cstdint>"}
+ self._runtime_headers: set[str]
+ if cp.cuda.runtime.is_hip:
+ self._runtime_headers = set()
+ else:
+ self._runtime_headers = {"<cstdint>"}
if len(default_block_size) > 3:
raise ValueError(
@@ -226,9 +230,9 @@ class CupyJit(JitBase):
"`cupy` is not installed: just-in-time-compilation of CUDA kernels is unavailable."
)
- if not isinstance(kernel, GpuKernel) or kernel.target != Target.CUDA:
+ if not isinstance(kernel, GpuKernel):
raise ValueError(
- "The CupyJit just-in-time compiler only accepts kernels generated for CUDA or HIP"
+ "The CupyJit just-in-time compiler only accepts GPU kernels generated for CUDA or HIP"
)
options = self._compiler_options()
diff --git a/tests/fixtures.py b/tests/fixtures.py
index ba2593f76f4fae81d7e785fdb5f7b0c9a4639c28..a19519988046943e4157cfa00f871a9b4376e967 100644
--- a/tests/fixtures.py
+++ b/tests/fixtures.py
@@ -23,7 +23,10 @@ AVAILABLE_TARGETS = [ps.Target.GenericCPU]
try:
import cupy
- AVAILABLE_TARGETS += [ps.Target.CUDA]
+ if cupy.cuda.runtime.is_hip:
+ AVAILABLE_TARGETS += [ps.Target.HIP]
+ else:
+ AVAILABLE_TARGETS += [ps.Target.CUDA]
except ImportError:
pass
diff --git a/tests/kernelcreation/test_buffer_gpu.py b/tests/kernelcreation/test_buffer_gpu.py
index 0b5019fba49ba439253ef1257b3c2f12a728d064..bd9d2156b451e10f7a91ed21b76a64e60af9bd03 100644
--- a/tests/kernelcreation/test_buffer_gpu.py
+++ b/tests/kernelcreation/test_buffer_gpu.py
@@ -58,7 +58,7 @@ def test_full_scalar_field():
pack_eqs = [Assignment(buffer.center(), src_field.center())]
- config = CreateKernelConfig(target=pystencils.Target.GPU)
+ config = CreateKernelConfig(target=pystencils.Target.CurrentGPU)
pack_ast = create_kernel(pack_eqs, config=config)
pack_kernel = pack_ast.compile()
@@ -66,7 +66,7 @@ def test_full_scalar_field():
unpack_eqs = [Assignment(dst_field.center(), buffer.center())]
- config = CreateKernelConfig(target=pystencils.Target.GPU)
+ config = CreateKernelConfig(target=pystencils.Target.CurrentGPU)
unpack_ast = create_kernel(unpack_eqs, config=config)
unpack_kernel = unpack_ast.compile()
@@ -94,7 +94,7 @@ def test_field_slice():
pack_eqs = [Assignment(buffer.center(), src_field.center())]
- config = CreateKernelConfig(target=pystencils.Target.GPU)
+ config = CreateKernelConfig(target=pystencils.Target.CurrentGPU)
pack_ast = create_kernel(pack_eqs, config=config)
pack_kernel = pack_ast.compile()
@@ -103,7 +103,7 @@ def test_field_slice():
# Unpack into ghost layer of dst_field in N direction
unpack_eqs = [Assignment(dst_field.center(), buffer.center())]
- config = CreateKernelConfig(target=pystencils.Target.GPU)
+ config = CreateKernelConfig(target=pystencils.Target.CurrentGPU)
unpack_ast = create_kernel(unpack_eqs, config=config)
unpack_kernel = unpack_ast.compile()
@@ -131,7 +131,7 @@ def test_all_cell_values():
eq = Assignment(buffer(idx), src_field(idx))
pack_eqs.append(eq)
- config = CreateKernelConfig(target=pystencils.Target.GPU)
+ config = CreateKernelConfig(target=pystencils.Target.CurrentGPU)
pack_code = create_kernel(pack_eqs, config=config)
pack_kernel = pack_code.compile()
@@ -143,7 +143,7 @@ def test_all_cell_values():
eq = Assignment(dst_field(idx), buffer(idx))
unpack_eqs.append(eq)
- config = CreateKernelConfig(target=pystencils.Target.GPU)
+ config = CreateKernelConfig(target=pystencils.Target.CurrentGPU)
unpack_ast = create_kernel(unpack_eqs, config=config)
unpack_kernel = unpack_ast.compile()
unpack_kernel(buffer=gpu_buffer_arr, dst_field=gpu_dst_arr)
@@ -173,7 +173,7 @@ def test_subset_cell_values():
pack_eqs.append(eq)
pack_types = {'src_field': gpu_src_arr.dtype, 'buffer': gpu_buffer_arr.dtype}
- config = CreateKernelConfig(target=pystencils.Target.GPU)
+ config = CreateKernelConfig(target=pystencils.Target.CurrentGPU)
pack_ast = create_kernel(pack_eqs, config=config)
pack_kernel = pack_ast.compile()
pack_kernel(buffer=gpu_buffer_arr, src_field=gpu_src_arr)
@@ -185,7 +185,7 @@ def test_subset_cell_values():
unpack_eqs.append(eq)
unpack_types = {'dst_field': gpu_dst_arr.dtype, 'buffer': gpu_buffer_arr.dtype}
- config = CreateKernelConfig(target=pystencils.Target.GPU)
+ config = CreateKernelConfig(target=pystencils.Target.CurrentGPU)
unpack_ast = create_kernel(unpack_eqs, config=config)
unpack_kernel = unpack_ast.compile()
@@ -215,7 +215,7 @@ def test_field_layouts():
pack_eqs.append(eq)
pack_types = {'src_field': gpu_src_arr.dtype, 'buffer': gpu_buffer_arr.dtype}
- config = CreateKernelConfig(target=pystencils.Target.GPU)
+ config = CreateKernelConfig(target=pystencils.Target.CurrentGPU)
pack_ast = create_kernel(pack_eqs, config=config)
pack_kernel = pack_ast.compile()
@@ -228,7 +228,7 @@ def test_field_layouts():
unpack_eqs.append(eq)
unpack_types = {'dst_field': gpu_dst_arr.dtype, 'buffer': gpu_buffer_arr.dtype}
- config = CreateKernelConfig(target=pystencils.Target.GPU)
+ config = CreateKernelConfig(target=pystencils.Target.CurrentGPU)
unpack_ast = create_kernel(unpack_eqs, config=config)
unpack_kernel = unpack_ast.compile()
@@ -299,7 +299,7 @@ def test_iteration_slices(gpu_indexing):
gpu_src_arr.set(src_arr)
gpu_dst_arr.fill(0)
- config = CreateKernelConfig(target=Target.GPU, iteration_slice=pack_slice)
+ config = CreateKernelConfig(target=Target.CurrentGPU, iteration_slice=pack_slice)
pack_code = create_kernel(pack_eqs, config=config)
pack_kernel = pack_code.compile()
@@ -311,7 +311,7 @@ def test_iteration_slices(gpu_indexing):
eq = Assignment(dst_field(idx), buffer(idx))
unpack_eqs.append(eq)
- config = CreateKernelConfig(target=Target.GPU, iteration_slice=pack_slice)
+ config = CreateKernelConfig(target=Target.CurrentGPU, iteration_slice=pack_slice)
unpack_code = create_kernel(unpack_eqs, config=config)
unpack_kernel = unpack_code.compile()