forked from EngineX-MetaX/enginex-c_series-vllm
21 lines
693 B
Python
21 lines
693 B
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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import torch
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from vllm.distributed.device_communicators.base_device_communicator import (
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DeviceCommunicatorBase)
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from vllm.platforms import current_platform
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if current_platform.is_neuron():
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import torch_xla.core.xla_model as xm
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class NeuronCommunicator(DeviceCommunicatorBase):
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def all_reduce(self, x: torch.Tensor) -> torch.Tensor:
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return xm.all_reduce(xm.REDUCE_SUM, x)
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def all_gather(self, x: torch.Tensor, dim: int = -1) -> torch.Tensor:
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assert dim == -1, "Neuron only supports dim=-1 for all-gather."
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return xm.all_gather(x, dim=dim)
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