[Feature] Integrate quick allreduce and select the best allreduce implementation (#6619)
Signed-off-by: Haoyang Li <Haoyang.Li@amd.com> Co-authored-by: ilmarkov <imarkov@redhat.com>
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@@ -1,6 +1,6 @@
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# Adapted from https://github.com/vllm-project/vllm/blob/v0.6.4.post1/vllm/_custom_ops.py
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import logging
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from typing import List, Tuple
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from typing import List, Optional, Tuple
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import torch
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@@ -114,6 +114,34 @@ else:
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def get_meta_buffer_ipc_handle(inp: torch.Tensor) -> torch.Tensor:
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return sgl_kernel.allreduce.get_meta_buffer_ipc_handle(inp)
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# ROCM custom quick allreduce
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def init_custom_qr(
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rank: int, world_size: int, qr_max_size: Optional[int] = None
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) -> int:
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return sgl_kernel.allreduce.init_custom_qr(world_size, rank, qr_max_size)
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def qr_get_handle(fa: int) -> torch.Tensor:
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return sgl_kernel.allreduce.qr_get_handle(fa)
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def qr_open_handles(fa: int, handles: list[torch.Tensor]) -> None:
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sgl_kernel.allreduce.qr_open_handles(fa, handles)
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def qr_all_reduce(
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fa: int,
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inp: torch.Tensor,
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out: torch.Tensor,
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quant_level: int,
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cast_bf2half: bool,
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) -> None:
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sgl_kernel.allreduce.qr_all_reduce(fa, inp, out, quant_level, cast_bf2half)
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def qr_destroy(fa: int) -> None:
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sgl_kernel.allreduce.qr_destroy(fa)
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def qr_max_size() -> int:
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return sgl_kernel.allreduce.qr_max_size()
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def mscclpp_generate_unique_id() -> bytes:
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return sgl_kernel.allreduce.mscclpp_generate_unique_id()
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