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

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* [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
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16
colossalai/legacy/communication/p2p_v2.py
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@@ -62,10 +62,10 @@ def _cuda_safe_tensor_to_object(tensor: torch.Tensor, tensor_size: torch.Size) -
Any: object after unpickled
"""
buf = tensor.numpy().tobytes()[:tensor_size]
if b'cuda' in buf:
if b"cuda" in buf:
buf_array = bytearray(buf)
device_index = torch.cuda.current_device()
buf_array[buf_array.find(b'cuda') + 5] = 48 + device_index
buf_array[buf_array.find(b"cuda") + 5] = 48 + device_index
buf = bytes(buf_array)
io_bytes = io.BytesIO(buf)
@@ -123,8 +123,8 @@ def _broadcast_object_list(object_list: List[Any], src: int, dst: int, device=No
if local_rank == src:
object_tensor = torch.cat(tensor_list)
else:
object_tensor = torch.empty( # type: ignore[call-overload]
torch.sum(object_sizes_tensor).item(), # type: ignore[arg-type]
object_tensor = torch.empty( # type: ignore[call-overload]
torch.sum(object_sizes_tensor).item(), # type: ignore[arg-type]
dtype=torch.uint8,
)
@@ -138,7 +138,7 @@ def _broadcast_object_list(object_list: List[Any], src: int, dst: int, device=No
if local_rank != src:
for i, obj_size in enumerate(object_sizes_tensor):
obj_view = object_tensor[offset:offset + obj_size]
obj_view = object_tensor[offset : offset + obj_size]
obj_view = obj_view.type(torch.uint8)
if obj_view.device != torch.device("cpu"):
obj_view = obj_view.cpu()
@@ -147,8 +147,10 @@ def _broadcast_object_list(object_list: List[Any], src: int, dst: int, device=No
unpickle_object = _cuda_safe_tensor_to_object(obj_view, obj_size)
# unconsistence in device
if isinstance(unpickle_object,
torch.Tensor) and unpickle_object.device.index != torch.cuda.current_device():
if (
isinstance(unpickle_object, torch.Tensor)
and unpickle_object.device.index != torch.cuda.current_device()
):
unpickle_object = unpickle_object.cuda()
object_list[i] = unpickle_object