[misc] update pre-commit and run all files (#4752)

* [misc] update pre-commit

* [misc] run pre-commit

* [misc] remove useless configuration files

* [misc] ignore cuda for clang-format
This commit is contained in:
Hongxin Liu
2023-09-19 14:20:26 +08:00
committed by GitHub
parent 3c6b831c26
commit 079bf3cb26
1268 changed files with 50037 additions and 38444 deletions

View File

@@ -28,19 +28,20 @@ def ring_forward(tensor_send_next: torch.Tensor, parallel_mode: ParallelMode) ->
ops = []
current_rank = gpc.get_global_rank()
tensor_recv_prev = torch.empty(buffer_shape,
requires_grad=True,
device=get_current_device(),
dtype=tensor_send_next.dtype)
tensor_recv_prev = torch.empty(
buffer_shape, requires_grad=True, device=get_current_device(), dtype=tensor_send_next.dtype
)
# send to next rank
send_next_op = torch.distributed.P2POp(torch.distributed.isend, tensor_send_next,
gpc.get_next_global_rank(parallel_mode))
send_next_op = torch.distributed.P2POp(
torch.distributed.isend, tensor_send_next, gpc.get_next_global_rank(parallel_mode)
)
ops.append(send_next_op)
# receive from prev rank
recv_prev_op = torch.distributed.P2POp(torch.distributed.irecv, tensor_recv_prev,
gpc.get_prev_global_rank(parallel_mode))
recv_prev_op = torch.distributed.P2POp(
torch.distributed.irecv, tensor_recv_prev, gpc.get_prev_global_rank(parallel_mode)
)
ops.append(recv_prev_op)
if current_rank % 2 == 0: