Datasets:
File size: 1,125 Bytes
453129d | 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 | from typing import List, Optional, Union
import torch
import torch.distributed as dist
def solution(
local_tensor: torch.Tensor,
input_split_sizes: Optional[Union[List[int], torch.Tensor]] = None,
output_split_sizes: Optional[Union[List[int], torch.Tensor]] = None,
group: Optional[dist.ProcessGroup] = None,
) -> torch.Tensor:
group = group or dist.group.WORLD
world_size = dist.get_world_size(group)
if world_size == 1:
return local_tensor.contiguous()
local_tensor = local_tensor.contiguous()
if output_split_sizes is None:
output = torch.empty_like(local_tensor)
else:
out_size = sum(output_split_sizes) if isinstance(output_split_sizes, list) else int(output_split_sizes.sum().item())
output = torch.empty(
(out_size, local_tensor.size(1)),
dtype=local_tensor.dtype,
device=local_tensor.device,
)
dist.all_to_all_single(
output,
local_tensor,
output_split_sizes=output_split_sizes,
input_split_sizes=input_split_sizes,
group=group,
)
return output
|