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from __future__ import annotations
import torchgen.api.meta as meta
import torchgen.api.structured as structured
from torchgen.api.types import kernel_signature
from torchgen.context import with_native_function_and_index
from torchgen.model import BackendIndex, NativeFunction, NativeFunctionsGroup
from torchgen.utils import mapMaybe
def torch_api_key_word_prefix(bankend_index: BackendIndex) -> str:
if bankend_index.external:
return ""
# Although Intel GPU ATen library is out-of-tree, it still utilizes torchgen to produce structrued
# kernels. Regarding these produced structured kernels, they should be visible for the Intel GPU ATen
# library. Therefore, we need to add "TORCH_XPU_API" prefix to these structured kernels,
# rather than "TORCH_API". Because the semantic of "TORCH_API" is "hidden" for out-of-tree backends.
# For other in-tree backends like cpu and cuda, they still use "TORCH_API" prefix with "visible" semantic.
device_torch_api_key_word_mapping = {
"XPU": "TORCH_XPU_API",
}
return (
device_torch_api_key_word_mapping.get(
bankend_index.dispatch_key.name, "TORCH_API"
)
+ " "
)
@with_native_function_and_index
def gen_unstructured(f: NativeFunction, backend_index: BackendIndex) -> str | None:
sig = kernel_signature(f, backend_index)
metadata = backend_index.get_kernel(f)
if metadata is None:
return None
if "legacy::" in metadata.kernel:
return None
else:
prefix = "static" if backend_index.external else "TORCH_API"
return f"{prefix} {sig.decl(name=metadata.kernel)};"
@with_native_function_and_index
def gen_structured(g: NativeFunctionsGroup, backend_index: BackendIndex) -> list[str]:
meta_name = meta.name(g)
out_args = structured.impl_arguments(g)
metadata = backend_index.get_kernel(g)
if metadata is None:
return []
prefix = torch_api_key_word_prefix(backend_index)
return [
f"""\
struct {prefix}structured_{metadata.kernel} : public at::meta::structured_{meta_name} {{
void impl({", ".join(a.decl() for a in out_args)});
}};
"""
]
# Generates NativeFunctions.h, a list of forward declarations of all
# actual kernel definitions we keep in aten/src/ATen/native/
@with_native_function_and_index
def compute_native_function_declaration(
g: NativeFunctionsGroup | NativeFunction, backend_index: BackendIndex
) -> list[str]:
metadata = backend_index.get_kernel(g)
if isinstance(g, NativeFunctionsGroup):
if metadata is not None and metadata.structured:
if backend_index.external:
# Structured hasn't been tested with external backends yet.
raise AssertionError(
"Structured external backend functions are not implemented yet."
)
else:
return gen_structured(g, backend_index)
else:
return list(
mapMaybe(lambda f: gen_unstructured(f, backend_index), g.functions())
)
else:
x = gen_unstructured(g, backend_index)
return [] if x is None else [x]