File size: 1,182 Bytes
2334d5a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 |
# Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from functools import reduce
from typing import Iterable
from collections import defaultdict
import torch
from deepspeed.accelerator import get_accelerator
class Allocator:
cache = defaultdict(dict)
def empty_from(tensor: torch.Tensor, shape: Iterable[int]) -> torch.Tensor:
try:
return Allocator.cache[tensor][shape]
except KeyError:
shape_size = reduce(lambda x, y: x * y, shape)
if shape_size == 0:
raise ValueError("Cannot create empty tensor with size 0")
Allocator.cache[tensor][shape] = tensor.flatten()[:shape_size].view(shape)
return Allocator.cache[tensor][shape]
empty_from = Allocator.empty_from
def on_device(method) -> torch.Tensor:
"""
Wraps a method to ensure the returned tensor is on the current device.
"""
def wrapped(self, *args, **kwargs):
tensor = method(self, *args, **kwargs)
if isinstance(tensor, torch.Tensor):
return tensor.to(get_accelerator().current_device())
return tensor
return wrapped
|