Migrate parfor to SPIRVKernelDispatcher

numba_dpex/core/descriptor.py

@@ -48,6 +48,8 @@ class DpexTargetOptions(CPUTargetOptions):
     no_compile = _option_mapping("no_compile")
     inline_threshold = _option_mapping("inline_threshold")
     _compilation_mode = _option_mapping("_compilation_mode")
+    # TODO: create separate parfor kernel target
+    _parfor_body_args = _option_mapping("_parfor_body_args")
 
     def finalize(self, flags, options):
         super().finalize(flags, options)
@@ -63,6 +65,7 @@ def finalize(self, flags, options):
         _inherit_if_not_set(
             flags, options, "_compilation_mode", CompilationMode.KERNEL
         )
+        _inherit_if_not_set(flags, options, "_parfor_body_args", None)
 
 
 class DpexKernelTarget(TargetDescriptor):

numba_dpex/core/parfors/kernel_builder.py

@@ -26,8 +26,17 @@
 from numba.parfors import parfor
 
 from numba_dpex.core import config
+from numba_dpex.core.decorators import kernel
+from numba_dpex.core.parfors.parfor_sentinel_replace_pass import (
+    ParforBodyArguments,
+)
 from numba_dpex.core.types.kernel_api.index_space_ids import ItemType
+from numba_dpex.core.utils.call_kernel_builder import SPIRVKernelModule
 from numba_dpex.kernel_api_impl.spirv import spirv_generator
+from numba_dpex.kernel_api_impl.spirv.dispatcher import (
+    SPIRVKernelDispatcher,
+    _SPIRVKernelCompileResult,
+)
 
 from ..descriptor import dpex_kernel_target
 from ..types import DpnpNdArray
@@ -38,79 +47,19 @@
 class ParforKernel:
     def __init__(
         self,
-        name,
-        kernel,
         signature,
         kernel_args,
         kernel_arg_types,
-        queue: dpctl.SyclQueue,
         local_accessors=None,
         work_group_size=None,
+        kernel_module=None,
     ):
-        self.name = name
-        self.kernel = kernel
         self.signature = signature
         self.kernel_args = kernel_args
         self.kernel_arg_types = kernel_arg_types
-        self.queue = queue
         self.local_accessors = local_accessors
         self.work_group_size = work_group_size
-
-
-def _print_block(block):
-    for i, inst in enumerate(block.body):
-        print("    ", i, inst)
-
-
-def _print_body(body_dict):
-    """Pretty-print a set of IR blocks."""
-    for label, block in body_dict.items():
-        print("label: ", label)
-        _print_block(block)
-
-
-def _compile_kernel_parfor(
-    sycl_queue, kernel_name, func_ir, argtypes, debug=False
-):
-    with target_override(dpex_kernel_target.target_context.target_name):
-        cres = compile_numba_ir_with_dpex(
-            pyfunc=func_ir,
-            pyfunc_name=kernel_name,
-            args=argtypes,
-            return_type=None,
-            debug=debug,
-            is_kernel=True,
-            typing_context=dpex_kernel_target.typing_context,
-            target_context=dpex_kernel_target.target_context,
-            extra_compile_flags=None,
-        )
-    cres.library.inline_threshold = config.INLINE_THRESHOLD
-    cres.library._optimize_final_module()
-    func = cres.library.get_function(cres.fndesc.llvm_func_name)
-    kernel = dpex_kernel_target.target_context.prepare_spir_kernel(
-        func, cres.signature.args
-    )
-    spirv_module = spirv_generator.llvm_to_spirv(
-        dpex_kernel_target.target_context,
-        kernel.module.__str__(),
-        kernel.module.as_bitcode(),
-    )
-
-    dpctl_create_program_from_spirv_flags = []
-    if debug or config.DPEX_OPT == 0:
-        # if debug is ON we need to pass additional flags to igc.
-        dpctl_create_program_from_spirv_flags = ["-g", "-cl-opt-disable"]
-
-    # create a sycl::kernel_bundle
-    kernel_bundle = dpctl_prog.create_program_from_spirv(
-        sycl_queue,
-        spirv_module,
-        " ".join(dpctl_create_program_from_spirv_flags),
-    )
-    #  create a sycl::kernel
-    sycl_kernel = kernel_bundle.get_sycl_kernel(kernel.name)
-
-    return sycl_kernel
+        self.kernel_module = kernel_module
 
 
 def _legalize_names_with_typemap(names, typemap):
@@ -189,76 +138,11 @@ def _replace_var_with_array(vars, loop_body, typemap, calltypes):
         typemap[v] = types.npytypes.Array(el_typ, 1, "C")
 
 
-def _find_setitems_block(setitems, block, typemap):
-    for inst in block.body:
-        if isinstance(inst, ir.StaticSetItem) or isinstance(inst, ir.SetItem):
-            setitems.add(inst.target.name)
-        elif isinstance(inst, parfor.Parfor):
-            _find_setitems_block(setitems, inst.init_block, typemap)
-            _find_setitems_body(setitems, inst.loop_body, typemap)
-
-
-def _find_setitems_body(setitems, loop_body, typemap):
-    """
-    Find the arrays that are written into (goes into setitems)
-    """
-    for label, block in loop_body.items():
-        _find_setitems_block(setitems, block, typemap)
-
-
-def _replace_sentinel_with_parfor_body(kernel_ir, sentinel_name, loop_body):
-    # new label for splitting sentinel block
-    new_label = max(loop_body.keys()) + 1
-
-    # Search all the block in the kernel function for the sentinel assignment.
-    for label, block in kernel_ir.blocks.items():
-        for i, inst in enumerate(block.body):
-            if (
-                isinstance(inst, ir.Assign)
-                and inst.target.name == sentinel_name
-            ):
-                # We found the sentinel assignment.
-                loc = inst.loc
-                scope = block.scope
-                # split block across __sentinel__
-                # A new block is allocated for the statements prior to the
-                # sentinel but the new block maintains the current block label.
-                prev_block = ir.Block(scope, loc)
-                prev_block.body = block.body[:i]
-
-                # The current block is used for statements after the sentinel.
-                block.body = block.body[i + 1 :]  # noqa: E203
-                # But the current block gets a new label.
-                body_first_label = min(loop_body.keys())
-
-                # The previous block jumps to the minimum labelled block of the
-                # parfor body.
-                prev_block.append(ir.Jump(body_first_label, loc))
-                # Add all the parfor loop body blocks to the kernel function's
-                # IR.
-                for loop, b in loop_body.items():
-                    kernel_ir.blocks[loop] = b
-                body_last_label = max(loop_body.keys())
-                kernel_ir.blocks[new_label] = block
-                kernel_ir.blocks[label] = prev_block
-                # Add a jump from the last parfor body block to the block
-                # containing statements after the sentinel.
-                kernel_ir.blocks[body_last_label].append(
-                    ir.Jump(new_label, loc)
-                )
-                break
-        else:
-            continue
-        break
-
-
 def create_kernel_for_parfor(
     lowerer,
     parfor_node,
     typemap,
-    flags,
     loop_ranges,
-    has_aliases,
     races,
     parfor_outputs,
 ) -> ParforKernel:
@@ -367,120 +251,38 @@ def create_kernel_for_parfor(
         loop_ranges=loop_ranges,
         param_dict=param_dict,
     )
-    kernel_ir = kernel_template.kernel_ir
 
-    if config.DEBUG_ARRAY_OPT:
-        print("kernel_ir dump ", type(kernel_ir))
-        kernel_ir.dump()
-        print("loop_body dump ", type(loop_body))
-        _print_body(loop_body)
-
-    # rename all variables in kernel_ir afresh
-    var_table = get_name_var_table(kernel_ir.blocks)
-    new_var_dict = {}
-    reserved_names = (
-        [sentinel_name] + list(param_dict.values()) + legal_loop_indices
+    kernel_dispatcher: SPIRVKernelDispatcher = kernel(
+        kernel_template.py_func,
+        _parfor_body_args=ParforBodyArguments(
+            loop_body=loop_body,
+            param_dict=param_dict,
+            legal_loop_indices=legal_loop_indices,
+        ),
     )
-    for name, var in var_table.items():
-        if not (name in reserved_names):
-            new_var_dict[name] = mk_unique_var(name)
-    replace_var_names(kernel_ir.blocks, new_var_dict)
-    if config.DEBUG_ARRAY_OPT:
-        print("kernel_ir dump after renaming ")
-        kernel_ir.dump()
-
-    kernel_param_types = param_types
 
-    if config.DEBUG_ARRAY_OPT:
-        print(
-            "kernel_param_types = ",
-            type(kernel_param_types),
-            "\n",
-            kernel_param_types,
-        )
-
-    kernel_stub_last_label = max(kernel_ir.blocks.keys()) + 1
-
-    # Add kernel stub last label to each parfor.loop_body label to prevent
-    # label conflicts.
-    loop_body = add_offset_to_labels(loop_body, kernel_stub_last_label)
-
-    _replace_sentinel_with_parfor_body(kernel_ir, sentinel_name, loop_body)
-
-    if config.DEBUG_ARRAY_OPT:
-        print("kernel_ir last dump before renaming")
-        kernel_ir.dump()
-
-    kernel_ir.blocks = rename_labels(kernel_ir.blocks)
-    remove_dels(kernel_ir.blocks)
-
-    old_alias = flags.noalias
-    if not has_aliases:
-        if config.DEBUG_ARRAY_OPT:
-            print("No aliases found so adding noalias flag.")
-        flags.noalias = True
-
-    remove_dead(kernel_ir.blocks, kernel_ir.arg_names, kernel_ir, typemap)
-
-    if config.DEBUG_ARRAY_OPT:
-        print("kernel_ir after remove dead")
-        kernel_ir.dump()
-
-    # The first argument to a range kernel is a kernel_api.Item object. The
-    # ``Item`` object is used by the kernel_api.spirv backend to generate the
+    # The first argument to a range kernel is a kernel_api.NdItem object. The
+    # ``NdItem`` object is used by the kernel_api.spirv backend to generate the
     # correct SPIR-V indexing instructions. Since, the argument is not something
     # available originally in the kernel_param_types, we add it at this point to
     # make sure the kernel signature matches the actual generated code.
     ty_item = ItemType(parfor_dim)
-    kernel_param_types = (ty_item, *kernel_param_types)
+    kernel_param_types = (ty_item, *param_types)
     kernel_sig = signature(types.none, *kernel_param_types)
 
-    if config.DEBUG_ARRAY_OPT:
-        sys.stdout.flush()
-
-    if config.DEBUG_ARRAY_OPT:
-        print("after DUFunc inline".center(80, "-"))
-        kernel_ir.dump()
-
-    # The ParforLegalizeCFD pass has already ensured that the LHS and RHS
-    # arrays are on same device. We can take the queue from the first input
-    # array and use that to compile the kernel.
-
-    exec_queue: dpctl.SyclQueue = None
-
-    for arg in parfor_args:
-        obj = typemap[arg]
-        if isinstance(obj, DpnpNdArray):
-            filter_string = obj.queue.sycl_device
-            # FIXME: A better design is required so that we do not have to
-            # create a queue every time.
-            exec_queue = dpctl.get_device_cached_queue(filter_string)
-
-    if not exec_queue:
-        raise AssertionError(
-            "No execution found for parfor. No way to compile the kernel!"
-        )
-
-    sycl_kernel = _compile_kernel_parfor(
-        exec_queue,
-        kernel_name,
-        kernel_ir,
-        kernel_param_types,
-        debug=flags.debuginfo,
+    kcres: _SPIRVKernelCompileResult = kernel_dispatcher.get_compile_result(
+        types.void(*kernel_param_types)  # kernel signature
     )
-
-    flags.noalias = old_alias
+    kernel_module: SPIRVKernelModule = kcres.kernel_device_ir_module
 
     if config.DEBUG_ARRAY_OPT:
         print("kernel_sig = ", kernel_sig)
 
     return ParforKernel(
-        name=kernel_name,
-        kernel=sycl_kernel,
         signature=kernel_sig,
         kernel_args=parfor_args,
         kernel_arg_types=func_arg_types,
-        queue=exec_queue,
+        kernel_module=kernel_module,
     )
 
 

numba_dpex/core/parfors/kernel_templates/kernel_template_iface.py

@@ -30,13 +30,9 @@ def _generate_kernel_ir(self):
     def dump_kernel_string(self):
         raise NotImplementedError
 
-    @abc.abstractmethod
-    def dump_kernel_ir(self):
-        raise NotImplementedError
-
     @property
     @abc.abstractmethod
-    def kernel_ir(self):
+    def py_func(self):
         raise NotImplementedError
 
     @property

numba_dpex/core/parfors/kernel_templates/range_kernel_template.py

@@ -5,7 +5,6 @@
 import sys
 
 import dpnp
-from numba.core import compiler
 
 import numba_dpex as dpex
 
@@ -51,7 +50,7 @@ def __init__(
         self._param_dict = param_dict
 
         self._kernel_txt = self._generate_kernel_stub_as_string()
-        self._kernel_ir = self._generate_kernel_ir()
+        self._py_func = self._generate_kernel_ir()
 
     def _generate_kernel_stub_as_string(self):
         """Generates a stub dpex kernel for the parfor as a string.
@@ -109,17 +108,15 @@ def _generate_kernel_ir(self):
         globls = {"dpnp": dpnp, "dpex": dpex}
         locls = {}
         exec(self._kernel_txt, globls, locls)
-        kernel_fn = locls[self._kernel_name]
-
-        return compiler.run_frontend(kernel_fn)
+        return locls[self._kernel_name]
 
     @property
-    def kernel_ir(self):
-        """Returns the Numba IR generated for a RangeKernelTemplate.
-
-        Returns: The Numba functionIR object for the compiled kernel_txt string.
+    def py_func(self):
+        """Returns the python function generated for a
+            TreeReduceIntermediateKernelTemplate.
+        Returns: The python function object for the compiled kernel_txt string.
         """
-        return self._kernel_ir
+        return self._py_func
 
     @property
     def kernel_string(self):
@@ -134,7 +131,3 @@ def dump_kernel_string(self):
         """Helper to print the kernel function string."""
         print(self._kernel_txt)
         sys.stdout.flush()
-
-    def dump_kernel_ir(self):
-        """Helper to dump the Numba IR for the RangeKernelTemplate."""
-        self._kernel_ir.dump()