MLPY/Lib/site-packages/torch/_C/_lazy.pyi

from typing import List

from torch import Tensor

# defined in torch/csrc/lazy/python/init.cpp
def _mark_step(device: str, devices: List[str], wait: bool): ...
def _wait_device_ops(devices: List[str]): ...
def _reset_metrics(): ...
def _counter_names() -> List[str]: ...
def _counter_value(name: str) -> int: ...
def _metrics_report() -> str: ...
def _get_graph_hash(tensors: List[Tensor]) -> str: ...
def _sync_multi(
    tensors: List[Tensor],
    devices: List[str],
    wait: bool = True,
    sync_ltc_data: bool = True,
): ...
def _get_tensor_id(tensor: Tensor) -> int: ...
def _get_tensors_text(tensors: List[Tensor]) -> str: ...
def _get_tensors_dot(tensors: List[Tensor]) -> str: ...
def _get_tensors_backend(tensors: List[Tensor]) -> str: ...
def _get_force_fallback() -> str: ...
def _set_force_fallback(newval: str): ...
def _clear_ir_cache(): ...
def _dump_ir_cache(filename: str): ...
def _set_reuse_ir(val: bool): ...
def _get_default_device_type(): ...