72 lines
2.6 KiB
Python
72 lines
2.6 KiB
Python
# Copyright 2023-2024 SGLang Team
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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from typing import Callable, Union
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import torch
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from torch.multiprocessing import reductions
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def monkey_patch_torch_reductions():
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"""Monkey patching before Torch https://github.com/pytorch/pytorch/pull/149248 is fixed"""
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if hasattr(reductions, "_reduce_tensor_original"):
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return
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reductions._reduce_tensor_original = reductions.reduce_tensor
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reductions._rebuild_cuda_tensor_original = reductions.rebuild_cuda_tensor
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reductions.reduce_tensor = _reduce_tensor_modified
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reductions.rebuild_cuda_tensor = _rebuild_cuda_tensor_modified
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reductions.init_reductions()
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# The signature has not been changed for years, and we will not need this when the next version is released,
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# so it looks safe to use a constant.
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_REDUCE_TENSOR_ARG_DEVICE_INDEX = 6
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def _reduce_tensor_modified(*args, **kwargs):
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output_fn, output_args = reductions._reduce_tensor_original(*args, **kwargs)
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output_args = _modify_tuple(
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output_args, _REDUCE_TENSOR_ARG_DEVICE_INDEX, _device_to_uuid
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)
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return output_fn, output_args
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def _rebuild_cuda_tensor_modified(*args):
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args = _modify_tuple(args, _REDUCE_TENSOR_ARG_DEVICE_INDEX, _device_from_maybe_uuid)
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return reductions._rebuild_cuda_tensor_original(*args)
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def _device_to_uuid(device: int) -> str:
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return str(torch.cuda.get_device_properties(device).uuid)
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def _device_from_maybe_uuid(device_maybe_uuid: Union[int, str]) -> int:
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if isinstance(device_maybe_uuid, int):
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return device_maybe_uuid
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if isinstance(device_maybe_uuid, str):
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for device in range(torch.cuda.device_count()):
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if str(torch.cuda.get_device_properties(device).uuid) == device_maybe_uuid:
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return device
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raise Exception("Invalid device_uuid=" + device_maybe_uuid)
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raise Exception(f"Unknown type: {device_maybe_uuid=}")
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def _modify_tuple(t, index: int, modifier: Callable):
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return *t[:index], modifier(t[index]), *t[index + 1 :]
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