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[MetaxGPU] Support FastDeploy on metax gpu (#3241)

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* [MetaxGPU] Support FastDeploy on metax gpu

* Update metax_worker.py

1. change worker log;
2. remove custom allreduce, adapt it later;
3. remove cuda graph;

* Update __init__.py

1. remove metax's key work comment

* Update __init__.py

1. remove metax's key word comment;
2. add fused_moe_kernel_paddle import

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Co-authored-by: yongqiangma <xing.wo@163.com>
This commit is contained in:
Kane2011
2025-08-13 11:11:54 +08:00
committed by GitHub
parent ed6bff215a
commit b4fef2cf29
29 changed files with 3224 additions and 11 deletions
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fastdeploy/worker/worker_process.py
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@@ -75,6 +75,10 @@ def get_worker(fd_config: FDConfig, local_rank: int, rank: int) -> WorkerBase:
from fastdeploy.worker.gcu_worker import GcuWorker
return GcuWorker(fd_config=fd_config, local_rank=local_rank, rank=rank)
if current_platform.is_maca():
from fastdeploy.worker.metax_worker import MetaxWorker
return MetaxWorker(fd_config=fd_config, local_rank=local_rank, rank=rank)
def init_distributed_environment(seed: int = 20) -> Tuple[int, int]: