blob: e1a208a9dcae01a62d16eb57dcb054d2e8e65164 [file] [log] [blame]
from typing import List, Union, Set, Any
from tools.codegen.context import with_native_function
from tools.codegen.utils import concatMap
from tools.codegen.model import (NativeFunction, NativeFunctionsGroup,
is_structured_dispatch_key)
import tools.codegen.api.meta as meta
import tools.codegen.api.native as native
import tools.codegen.api.structured as structured
@with_native_function
def gen_unstructured(f: NativeFunction) -> List[str]:
ns = list(f.dispatch.values())
rs = []
# Sometimes a function name shows up multiple times; only generate
# it once!
seen = set()
for n in ns:
if n in seen:
continue
if "legacy::" in n:
continue
seen.add(n)
returns_type = native.returns_type(f.func.returns).cpp_type()
args = native.arguments(f.func)
rs.append(f"TORCH_API {returns_type} {n}({', '.join(a.decl() for a in args)});")
return rs
@with_native_function
def gen_structured(g: NativeFunctionsGroup) -> List[str]:
# only out has dispatch
meta_name = meta.name(g)
rs = []
seen: Set[Any] = set()
out_args = structured.impl_arguments(g)
for k, n in g.out.dispatch.items():
if n in seen:
continue
if not is_structured_dispatch_key(k):
continue
seen.add(n)
rs.append(f"""\
struct TORCH_API structured_{n} : public at::meta::{meta_name} {{
void impl({', '.join(a.decl() for a in out_args)});
}};
""")
seen = set()
for f in g.functions():
returns_type = native.returns_type(f.func.returns).cpp_type()
args = native.arguments(f.func)
for k, n in f.dispatch.items():
if n in seen:
continue
if is_structured_dispatch_key(k):
continue
seen.add(n)
args_str = ', '.join(a.decl() for a in args)
rs.append(f"TORCH_API {returns_type} {n}({args_str});")
return rs
# Generates NativeFunctions.h, a list of forward declarations of all
# actual kernel definitions we keep in aten/src/ATen/native/
@with_native_function
def compute_native_function_declaration(g: Union[NativeFunctionsGroup, NativeFunction]) -> List[str]:
if isinstance(g, NativeFunctionsGroup):
if g.structured:
return gen_structured(g)
else:
return list(concatMap(gen_unstructured, g.functions()))
else:
return gen_unstructured(g)