Created
February 9, 2021 21:07
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| from numba.core.typing import typeof, templates | |
| from numba.core import extending, types | |
| class ConstFunction: | |
| @classmethod | |
| def fromobject(cls, func): | |
| name = getattr(func, '__name__', str(func)) | |
| return cls(func, name) | |
| def __init__(self, func, name): | |
| self.func = func | |
| self.name = name | |
| self.register() | |
| def register(self): | |
| class ConstFunctionTemplate(templates.AbstractTemplate): | |
| obj = self | |
| key = self.name | |
| def generic(self, args, kws): | |
| retval = self.obj.func() # eval the function | |
| retty = typeof.typeof(retval, purpose=typeof.Purpose.constant) | |
| # lowering | |
| def codegen(context, builder, sig, args): | |
| typ = context.get_value_type(retty) | |
| return typ(retval) | |
| extending.lower_builtin(self.key)(codegen) | |
| return retty() | |
| templates.infer(ConstFunctionTemplate) | |
| templates.infer_global(self, types.Function(ConstFunctionTemplate)) | |
| constfunc = ConstFunction.fromobject | |
| # usage | |
| @constfunc | |
| def IS_GPU(): | |
| target_info = TargetInfo() | |
| if target_info.is_gpu: | |
| return True | |
| else: | |
| return False |
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