Datasets:
File size: 518 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 | import torch
import torch.distributed as dist
@torch.no_grad()
def solution(
A: torch.Tensor,
B: torch.Tensor,
) -> torch.Tensor:
rank = dist.get_rank()
world_size = dist.get_world_size()
M, K = A.shape
K_B, N_local = B.shape
A = A.contiguous()
B = B.contiguous()
C_local = torch.matmul(A, B)
C_gathered = [torch.zeros_like(C_local) for _ in range(world_size)]
dist.all_gather(C_gathered, C_local)
C = torch.cat(C_gathered, dim=1)
return C
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