fbgemm_gpu/fbgemm_gpu/uvm.py (19 lines of code) (raw):
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from enum import Enum
from typing import Optional
import torch
from fbgemm_gpu.enums import create_enums
try:
# pyre-ignore[21]
from fbgemm_gpu import open_source # noqa: F401
except Exception:
torch.ops.load_library("//deeplearning/fbgemm/fbgemm_gpu:cumem_utils")
# Import all uvm enums from c++ library
create_enums(globals(), torch.ops.fbgemm.fbgemm_gpu_uvm_enum_query)
def cudaMemAdvise(
t: torch.Tensor,
advice: Enum,
) -> None:
torch.ops.fbgemm.cuda_mem_advise(t, advice.value)
def cudaMemPrefetchAsync(
t: torch.Tensor,
device_t: Optional[torch.Tensor] = None,
) -> None:
torch.ops.fbgemm.cuda_mem_prefetch_async(t, device_t)