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from ctypes import c_void_p
from typing import overload, Protocol
from torch import Tensor
# Defined in torch/csrc/inductor/aoti_runner/pybind.cpp
# Tensor to AtenTensorHandle
def unsafe_alloc_void_ptrs_from_tensors(tensors: list[Tensor]) -> list[c_void_p]: ...
def unsafe_alloc_void_ptr_from_tensor(tensor: Tensor) -> c_void_p: ...
# AtenTensorHandle to Tensor
def alloc_tensors_by_stealing_from_void_ptrs(
handles: list[c_void_p],
) -> list[Tensor]: ...
def alloc_tensor_by_stealing_from_void_ptr(
handle: c_void_p,
) -> Tensor: ...
class AOTIModelContainerRunner(Protocol):
def run(
self, inputs: list[Tensor], stream_handle: c_void_p = ...
) -> list[Tensor]: ...
def get_call_spec(self) -> list[str]: ...
def get_constant_names_to_original_fqns(self) -> dict[str, str]: ...
def get_constant_names_to_dtypes(self) -> dict[str, int]: ...
def extract_constants_map(self, use_inactive: bool) -> dict[str, Tensor]: ...
def update_constant_buffer(
self,
tensor_map: dict[str, Tensor],
use_inactive: bool,
validate_full_updates: bool,
user_managed: bool = ...,
) -> None: ...
def swap_constant_buffer(self) -> None: ...
def free_inactive_constant_buffer(self) -> None: ...
class AOTIModelContainerRunnerCpu:
def __init__(self, model_so_path: str, num_models: int) -> None: ...
def run(
self, inputs: list[Tensor], stream_handle: c_void_p = ...
) -> list[Tensor]: ...
def get_call_spec(self) -> list[str]: ...
def get_constant_names_to_original_fqns(self) -> dict[str, str]: ...
def get_constant_names_to_dtypes(self) -> dict[str, int]: ...
def extract_constants_map(self, use_inactive: bool) -> dict[str, Tensor]: ...
def update_constant_buffer(
self,
tensor_map: dict[str, Tensor],
use_inactive: bool,
validate_full_updates: bool,
user_managed: bool = ...,
) -> None: ...
def swap_constant_buffer(self) -> None: ...
def free_inactive_constant_buffer(self) -> None: ...
class AOTIModelContainerRunnerCuda:
@overload
def __init__(self, model_so_path: str, num_models: int) -> None: ...
@overload
def __init__(
self, model_so_path: str, num_models: int, device_str: str
) -> None: ...
@overload
def __init__(
self, model_so_path: str, num_models: int, device_str: str, cubin_dir: str
) -> None: ...
def run(
self, inputs: list[Tensor], stream_handle: c_void_p = ...
) -> list[Tensor]: ...
def get_call_spec(self) -> list[str]: ...
def get_constant_names_to_original_fqns(self) -> dict[str, str]: ...
def get_constant_names_to_dtypes(self) -> dict[str, int]: ...
def extract_constants_map(self, use_inactive: bool) -> dict[str, Tensor]: ...
def update_constant_buffer(
self,
tensor_map: dict[str, Tensor],
use_inactive: bool,
validate_full_updates: bool,
user_managed: bool = ...,
) -> None: ...
def swap_constant_buffer(self) -> None: ...
def free_inactive_constant_buffer(self) -> None: ...
class AOTIModelContainerRunnerXpu:
@overload
def __init__(self, model_so_path: str, num_models: int) -> None: ...
@overload
def __init__(
self, model_so_path: str, num_models: int, device_str: str
) -> None: ...
@overload
def __init__(
self, model_so_path: str, num_models: int, device_str: str, kernel_bin_dir: str
) -> None: ...
def run(
self, inputs: list[Tensor], stream_handle: c_void_p = ...
) -> list[Tensor]: ...
def get_call_spec(self) -> list[str]: ...
def get_constant_names_to_original_fqns(self) -> dict[str, str]: ...
def get_constant_names_to_dtypes(self) -> dict[str, int]: ...
def extract_constants_map(self, use_inactive: bool) -> dict[str, Tensor]: ...
def update_constant_buffer(
self,
tensor_map: dict[str, Tensor],
use_inactive: bool,
validate_full_updates: bool,
user_managed: bool = ...,
) -> None: ...
def swap_constant_buffer(self) -> None: ...
def free_inactive_constant_buffer(self) -> None: ...
class AOTIModelContainerRunnerMps:
def __init__(self, model_so_path: str, num_models: int) -> None: ...
def run(
self, inputs: list[Tensor], stream_handle: c_void_p = ...
) -> list[Tensor]: ...
def get_call_spec(self) -> list[str]: ...
def get_constant_names_to_original_fqns(self) -> dict[str, str]: ...
def get_constant_names_to_dtypes(self) -> dict[str, int]: ...
def extract_constants_map(self, use_inactive: bool) -> dict[str, Tensor]: ...
def update_constant_buffer(
self,
tensor_map: dict[str, Tensor],
use_inactive: bool,
validate_full_updates: bool,
user_managed: bool = ...,
) -> None: ...
def swap_constant_buffer(self) -> None: ...
def free_inactive_constant_buffer(self) -> None: ...
# Defined in torch/csrc/inductor/aoti_package/pybind.cpp
class AOTIModelPackageLoader:
def __init__(
self,
model_package_path: str,
model_name: str,
run_single_threaded: bool,
num_runners: int,
device_index: int,
) -> None: ...
def get_metadata(self) -> dict[str, str]: ...
def run(
self, inputs: list[Tensor], stream_handle: c_void_p = ...
) -> list[Tensor]: ...
def boxed_run(
self, inputs: list[Tensor], stream_handle: c_void_p = ...
) -> list[Tensor]: ...
def get_call_spec(self) -> list[str]: ...
def get_constant_fqns(self) -> list[str]: ...
def load_constants(
self,
constants_map: dict[str, Tensor],
use_inactive: bool,
check_full_update: bool,
user_managed: bool = ...,
) -> None: ...
def update_constant_buffer(
self,
tensor_map: dict[str, Tensor],
use_inactive: bool,
validate_full_updates: bool,
user_managed: bool = ...,
) -> None: ...
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