Datasets:

togethercomputer
/

ParallelKernelBench_Problems

import torch
import torch.distributed as dist


@torch.no_grad()
def solution(tensor: torch.Tensor, src: int = 0) -> torch.Tensor:
    out = tensor.clone()
    dist.broadcast(out, src=src)
    return out

	import torch
	import torch.distributed as dist


	@torch.no_grad()
	def solution(tensor: torch.Tensor, src: int = 0) -> torch.Tensor:
	out = tensor.clone()
	dist.broadcast(out, src=src)
	return out