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from torch._inductor.codegen import cpp, cpp_wrapper_cpu, wrapper
from torch._inductor.scheduler import BaseScheduling
from torch._inductor.virtualized import V
class ExtensionWrapperCodegen(wrapper.PythonWrapperCodegen):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
class ExtensionCppWrapperCodegen(cpp_wrapper_cpu.CppWrapperCpu):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
class ExtensionScheduling(BaseScheduling):
def __init__(self, scheduler):
self.scheduler = scheduler
self._scheduling = cpp.CppScheduling(scheduler)
def can_fuse_vertical(self, node1, node2):
return True
def can_fuse_horizontal(self, node1, node2):
return True
def group_fn(self, sizes):
return tuple(tuple(map(V.graph.sizevars.simplify, s)) for s in sizes)
def codegen_template(self, template_node, epilogue_nodes):
pass
def codegen_node(self, node):
self._scheduling.codegen_node(node)
def codegen_sync(self):
pass
def flush(self):
self._scheduling.flush()
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