33 lines
1.3 KiB
Python
33 lines
1.3 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# Adapted from https://github.com/vllm-project/vllm/blob/v0.7.3/vllm/distributed/communication_op.py
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import torch
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import torch.distributed
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from fastvideo.distributed.parallel_state import get_sp_group, get_tp_group
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def tensor_model_parallel_all_reduce(input_: torch.Tensor) -> torch.Tensor:
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"""All-reduce the input tensor across model parallel group."""
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return get_tp_group().all_reduce(input_)
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def tensor_model_parallel_all_gather(input_: torch.Tensor,
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dim: int = -1) -> torch.Tensor:
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"""All-gather the input tensor across model parallel group."""
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return get_tp_group().all_gather(input_, dim)
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# TODO: remove model, make it sequence_parallel
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def sequence_model_parallel_all_to_all_4D(input_: torch.Tensor,
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scatter_dim: int = 2,
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gather_dim: int = 1) -> torch.Tensor:
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"""All-to-all communication of 4D tensors (e.g. QKV matrices) across sequence parallel group."""
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return get_sp_group().all_to_all_4D(input_, scatter_dim, gather_dim)
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def sequence_model_parallel_all_gather(input_: torch.Tensor,
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dim: int = -1) -> torch.Tensor:
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"""All-gather the input tensor across model parallel group."""
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return get_sp_group().all_gather(input_, dim)
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