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https://github.com/PaddlePaddle/FastDeploy.git
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b4fef2cf29
* [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 --------- Co-authored-by: yongqiangma <xing.wo@163.com>
59 lines
2.1 KiB
Python
59 lines
2.1 KiB
Python
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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platform module
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"""
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import paddle
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from .base import _Backend # noqa: F401
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from .cpu import CPUPlatform
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from .cuda import CUDAPlatform
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from .dcu import DCUPlatform
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from .gcu import GCUPlatform
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from .iluvatar import IluvatarPlatform
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from .maca import MACAPlatform
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from .npu import NPUPlatform
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from .xpu import XPUPlatform
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_current_platform = None
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def __getattr__(name: str):
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if name == "current_platform":
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# lazy init current_platform.
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global _current_platform
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if _current_platform is None:
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if paddle.is_compiled_with_rocm():
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_current_platform = DCUPlatform()
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elif paddle.is_compiled_with_cuda():
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_current_platform = CUDAPlatform()
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elif paddle.is_compiled_with_xpu():
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_current_platform = XPUPlatform()
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elif paddle.is_compiled_with_custom_device("npu"):
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_current_platform = NPUPlatform()
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elif paddle.is_compiled_with_custom_device("iluvatar_gpu"):
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_current_platform = IluvatarPlatform()
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elif paddle.is_compiled_with_custom_device("gcu"):
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_current_platform = GCUPlatform()
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elif paddle.is_compiled_with_custom_device("metax_gpu"):
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_current_platform = MACAPlatform()
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else:
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_current_platform = CPUPlatform()
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return _current_platform
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elif name in globals():
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return globals()[name]
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else:
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raise AttributeError(f"No attribute named '{name}' exists in {__name__}.")
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