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| 1 | +from numba.core.compiler_machinery import (FunctionPass, register_pass) |
| 2 | +from numba.core import (types) |
| 3 | + |
| 4 | +import numba.mlir.settings |
| 5 | +import numba.mlir.func_registry |
| 6 | +import numba.core.types.functions |
| 7 | +_mlir_last_compiled_func = None |
| 8 | +_mlir_active_module = None |
| 9 | + |
| 10 | +def _reload_parfors(): |
| 11 | + """Reloader for cached parfors |
| 12 | + """ |
| 13 | + # Re-initialize the parallel backend when load from cache. |
| 14 | + from numba.np.ufunc.parallel import _launch_threads |
| 15 | + _launch_threads() |
| 16 | + |
| 17 | +class MlirBackendBase(FunctionPass): |
| 18 | + |
| 19 | + def __init__(self): |
| 20 | + import numba.mlir.func_registry |
| 21 | + self._get_func_name = numba.mlir.func_registry.get_func_name |
| 22 | + FunctionPass.__init__(self) |
| 23 | + |
| 24 | + def run_pass(self, state): |
| 25 | + numba.mlir.func_registry.push_active_funcs_stack() |
| 26 | + try: |
| 27 | + res = self.run_pass_impl(state) |
| 28 | + finally: |
| 29 | + numba.mlir.func_registry.pop_active_funcs_stack() |
| 30 | + return res |
| 31 | + |
| 32 | + def _resolve_func_name(self, obj): |
| 33 | + name, func = self._resolve_func_name_impl(obj) |
| 34 | + if not (name is None or func is None): |
| 35 | + numba.mlir.func_registry.add_active_funcs(name, func) |
| 36 | + return name |
| 37 | + |
| 38 | + def _resolve_func_name_impl(self, obj): |
| 39 | + if isinstance(obj, types.Function): |
| 40 | + func = obj.typing_key |
| 41 | + return (self._get_func_name(func), None) |
| 42 | + if isinstance(obj, types.BoundFunction): |
| 43 | + return (str(obj.typing_key), None) |
| 44 | + if isinstance(obj, numba.core.types.functions.Dispatcher): |
| 45 | + func = obj.dispatcher.py_func |
| 46 | + return (func.__module__ + "." + func.__qualname__, func) |
| 47 | + return (None, None) |
| 48 | + |
| 49 | + def _get_func_context(self, state): |
| 50 | + mangler = state.targetctx.mangler |
| 51 | + mangler = default_mangler if mangler is None else mangler |
| 52 | + unique_name = state.func_ir.func_id.unique_name |
| 53 | + modname = state.func_ir.func_id.func.__module__ |
| 54 | + from numba.core.funcdesc import qualifying_prefix |
| 55 | + qualprefix = qualifying_prefix(modname, unique_name) |
| 56 | + fn_name = mangler(qualprefix, state.args) |
| 57 | + |
| 58 | + from numba.np.ufunc.parallel import get_thread_count |
| 59 | + |
| 60 | + ctx = {} |
| 61 | + ctx['compiler_settings'] = {'verify': True, 'pass_statistics': False, 'pass_timings': False, 'ir_printing': numba.mlir.settings.PRINT_IR} |
| 62 | + ctx['typemap'] = lambda op: state.typemap[op.name] |
| 63 | + ctx['fnargs'] = lambda: state.args |
| 64 | + ctx['restype'] = lambda: state.return_type |
| 65 | + ctx['fnname'] = lambda: fn_name |
| 66 | + ctx['resolve_func'] = self._resolve_func_name |
| 67 | + ctx['fastmath'] = lambda: state.targetctx.fastmath |
| 68 | + ctx['max_concurrency'] = lambda: get_thread_count() if state.flags.auto_parallel.enabled else 0 |
| 69 | + return ctx |
| 70 | + |
| 71 | +@register_pass(mutates_CFG=True, analysis_only=False) |
| 72 | +class MlirDumpPlier(MlirBackendBase): |
| 73 | + |
| 74 | + _name = "mlir_dump_plier" |
| 75 | + |
| 76 | + def __init__(self): |
| 77 | + MlirBackendBase.__init__(self) |
| 78 | + |
| 79 | + def run_pass(self, state): |
| 80 | + import mlir_compiler |
| 81 | + module = mlir_compiler.create_module() |
| 82 | + ctx = self._get_func_context(state) |
| 83 | + mlir_compiler.lower_function(ctx, module, state.func_ir) |
| 84 | + print(mlir_compiler.module_str(module)) |
| 85 | + return True |
| 86 | + |
| 87 | +def get_mlir_func(): |
| 88 | + global _mlir_last_compiled_func |
| 89 | + return _mlir_last_compiled_func |
| 90 | + |
| 91 | +@register_pass(mutates_CFG=True, analysis_only=False) |
| 92 | +class MlirBackend(MlirBackendBase): |
| 93 | + |
| 94 | + _name = "mlir_backend" |
| 95 | + |
| 96 | + def __init__(self): |
| 97 | + MlirBackendBase.__init__(self) |
| 98 | + |
| 99 | + def run_pass_impl(self, state): |
| 100 | + import mlir_compiler |
| 101 | + global _mlir_active_module |
| 102 | + old_module = _mlir_active_module |
| 103 | + |
| 104 | + try: |
| 105 | + module = mlir_compiler.create_module() |
| 106 | + _mlir_active_module = module |
| 107 | + global _mlir_last_compiled_func |
| 108 | + ctx = self._get_func_context(state) |
| 109 | + _mlir_last_compiled_func = mlir_compiler.lower_function(ctx, module, state.func_ir) |
| 110 | + mod_ir = mlir_compiler.compile_module(ctx, module) |
| 111 | + finally: |
| 112 | + _mlir_active_module = old_module |
| 113 | + setattr(state, 'mlir_blob', mod_ir) |
| 114 | + _reload_parfors() |
| 115 | + state.reload_init.append(_reload_parfors) |
| 116 | + return True |
| 117 | + |
| 118 | +@register_pass(mutates_CFG=True, analysis_only=False) |
| 119 | +class MlirBackendInner(MlirBackendBase): |
| 120 | + |
| 121 | + _name = "mlir_backend_inner" |
| 122 | + |
| 123 | + def __init__(self): |
| 124 | + MlirBackendBase.__init__(self) |
| 125 | + |
| 126 | + def run_pass_impl(self, state): |
| 127 | + import mlir_compiler |
| 128 | + global _mlir_active_module |
| 129 | + module = _mlir_active_module |
| 130 | + assert not module is None |
| 131 | + global _mlir_last_compiled_func |
| 132 | + ctx = self._get_func_context(state) |
| 133 | + _mlir_last_compiled_func = mlir_compiler.lower_function(ctx, module, state.func_ir) |
| 134 | + from numba.core.compiler import compile_result |
| 135 | + state.cr = compile_result() |
| 136 | + return True |
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