78 lines
2.5 KiB
Python
78 lines
2.5 KiB
Python
from typing import List, Tuple
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import torch
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if torch.version.hip is not None:
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# ROCM custom allreduce
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def init_custom_ar(
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meta: torch.Tensor,
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rank_data: torch.Tensor,
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handles: List[str],
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offsets: List[int],
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rank: int,
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full_nvlink: bool,
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) -> int:
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return torch.ops.sgl_kernel.init_custom_ar.default(
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meta, rank_data, handles, offsets, rank, full_nvlink
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)
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def all_reduce_reg(fa: int, inp: torch.Tensor, out: torch.Tensor) -> None:
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torch.ops.sgl_kernel.all_reduce_reg.default(fa, inp, out)
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def all_reduce_unreg(
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fa: int, inp: torch.Tensor, reg_buffer: torch.Tensor, out: torch.Tensor
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) -> None:
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torch.ops.sgl_kernel.all_reduce_unreg.default(fa, inp, reg_buffer, out)
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def dispose(fa: int) -> None:
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torch.ops.sgl_kernel.dispose.default(fa)
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def meta_size() -> int:
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return torch.ops.sgl_kernel.meta_size.default()
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def register_buffer(
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fa: int, t: torch.Tensor, handles: List[str], offsets: List[int]
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) -> None:
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return torch.ops.sgl_kernel.register_buffer.default(fa, t, handles, offsets)
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def get_graph_buffer_ipc_meta(fa: int) -> Tuple[torch.Tensor, List[int]]:
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return torch.ops.sgl_kernel.get_graph_buffer_ipc_meta.default(fa)
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def register_graph_buffers(
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fa: int, handles: List[str], offsets: List[List[int]]
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) -> None:
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torch.ops.sgl_kernel.register_graph_buffers.default(fa, handles, offsets)
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def allocate_meta_buffer(size: int) -> torch.Tensor:
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return torch.ops.sgl_kernel.allocate_meta_buffer.default(size)
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def get_meta_buffer_ipc_handle(inp: torch.Tensor) -> torch.Tensor:
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return torch.ops.sgl_kernel.get_meta_buffer_ipc_handle.default(inp)
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else:
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# TRTLLM custom allreduce
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def init_custom_reduce(
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rank_id, num_devices, rank_data, buffers, tmp_buffers, barrier_in, barrier_out
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):
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return torch.ops.sgl_kernel.init_custom_ar.default(
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rank_id,
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num_devices,
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rank_data,
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buffers,
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tmp_buffers,
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barrier_in,
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barrier_out,
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)
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def custom_dispose(fa):
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torch.ops.sgl_kernel.dispose.default(fa)
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def custom_reduce(fa, inp, out):
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torch.ops.sgl_kernel.all_reduce.default(fa, inp, out)
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def get_graph_buffer_ipc_meta(fa):
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return torch.ops.sgl_kernel.get_graph_buffer_ipc_meta.default(fa)
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def register_graph_buffers(fa, handles, offsets):
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torch.ops.sgl_kernel.register_graph_buffers.default(fa, handles, offsets)
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