Code reorganization: Removes ocl kernel API, moves math, print into kernel_api_impl

numba_dpex/__init__.py

@@ -98,23 +98,6 @@ def parse_sem_version(version_string: str) -> Tuple[int, int, int]:
 from .core.decorators import device_func, dpjit, kernel  # noqa E402
 from .core.kernel_launcher import call_kernel, call_kernel_async  # noqa E402
 from .core.targets import dpjit_target  # noqa E402
-from .ocl.stubs import (  # noqa E402
-    GLOBAL_MEM_FENCE,
-    LOCAL_MEM_FENCE,
-    atomic,
-    barrier,
-    get_global_id,
-    get_global_size,
-    get_group_id,
-    get_local_id,
-    get_local_size,
-    get_num_groups,
-    get_work_dim,
-    local,
-    mem_fence,
-    private,
-    sub_group_barrier,
-)
 
 load_dpctl_sycl_interface()
 del load_dpctl_sycl_interface

numba_dpex/core/datamodel/models.py

@@ -20,7 +20,6 @@
 from numba_dpex.kernel_api.memory_enums import AddressSpace as address_space
 
 from ..types import (
-    Array,
     DpctlSyclEvent,
     DpctlSyclQueue,
     DpnpNdArray,
@@ -335,7 +334,6 @@ def _init_kernel_data_model_manager() -> datamodel.DataModelManager:
     """
     dmm = datamodel.default_manager.copy()
     dmm.register(types.CPointer, GenericPointerModel)
-    dmm.register(Array, USMArrayDeviceModel)
 
     # Register the USMNdArray type to USMArrayDeviceModel in numba_dpex's data
     # model manager. The dpex_data_model_manager is used by the DpexKernelTarget

numba_dpex/core/pipelines/kernel_compiler.py

@@ -9,7 +9,6 @@
     NoPythonSupportedFeatureValidation,
 )
 
-from numba_dpex.core import config
 from numba_dpex.core.exceptions import UnsupportedCompilationModeError
 from numba_dpex.core.passes.passes import (
     NoPythonBackend,

numba_dpex/core/types/__init__.py

@@ -2,7 +2,6 @@
 #
 # SPDX-License-Identifier: Apache-2.0
 
-from .array_type import Array
 from .dpctl_types import DpctlSyclEvent, DpctlSyclQueue
 from .dpnp_ndarray_type import DpnpNdArray
 from .kernel_api.literal_intenum import IntEnumLiteral
@@ -34,7 +33,6 @@
 usm_ndarray = USMNdArray
 
 __all__ = [
-    "Array",
     "DpctlSyclQueue",
     "DpctlSyclEvent",
     "DpnpNdArray",

numba_dpex/core/utils/cgutils_extra.py

@@ -5,6 +5,8 @@
 from llvmlite import ir as llvmir
 from numba.core import cgutils, types
 
+from numba_dpex.core.utils.itanium_mangler import mangle_c
+
 
 class LLVMTypes:
     """
@@ -21,6 +23,44 @@ class LLVMTypes:
     void_t = llvmir.VoidType()
 
 
+def declare_function(context, builder, name, sig, cargs, mangler=mangle_c):
+    """Insert declaration for a opencl builtin function.
+    Uses the Itanium mangler.
+
+    Args
+    ----
+    context: target context
+
+    builder: llvm builder
+
+    name: str
+        symbol name
+
+    sig: signature
+        function signature of the symbol being declared
+
+    cargs: sequence of str
+        C type names for the arguments
+
+    mangler: a mangler function
+        function to use to mangle the symbol
+
+    """
+    mod = builder.module
+    if sig.return_type == types.void:
+        llretty = llvmir.VoidType()
+    else:
+        llretty = context.get_value_type(sig.return_type)
+    llargs = [context.get_value_type(t) for t in sig.args]
+    fnty = llvmir.FunctionType(llretty, llargs)
+    mangled = mangler(name, cargs)
+    fn = cgutils.get_or_insert_function(mod, fnty, mangled)
+    from numba_dpex import spirv_kernel_target
+
+    fn.calling_convention = spirv_kernel_target.CC_SPIR_FUNC
+    return fn
+
+
 def get_llvm_type(context, type):
     """Returns the LLVM Value corresponding to a Numba type.
 

numba_dpex/dpnp_iface/dpnp_ufunc_db.py

@@ -9,8 +9,7 @@
 from numba.core import types
 
 from numba_dpex.core.typing import dpnpdecl
-
-from ..ocl import mathimpl
+from numba_dpex.kernel_api_impl.spirv.math import mathimpl
 
 # A global instance of dpnp ufuncs that are supported by numba-dpex
 _dpnp_ufunc_db = None

numba_dpex/kernel_api_impl/spirv/math/__init__.py

@@ -0,0 +1,3 @@
+# SPDX-FileCopyrightText: 2024 Intel Corporation
+#
+# SPDX-License-Identifier: Apache-2.0