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* add error traceback info * update error msg * update code --------- Co-authored-by: Jiang-Jia-Jun <163579578+Jiang-Jia-Jun@users.noreply.github.com>
59 lines
1.9 KiB
Python
59 lines
1.9 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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import traceback
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import paddle
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from fastdeploy.utils import console_logger as logger
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from .base import Platform, _Backend
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class XPUPlatform(Platform):
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"""
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xpu platform class
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"""
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device_name = "xpu"
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@classmethod
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def available(self):
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"""
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Check whether XPU is available.
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"""
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try:
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assert paddle.is_compiled_with_xpu()
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assert len(paddle.static.xpu_places()) > 0
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return True
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except Exception as e:
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logger.warning(
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"You are using XPU version PaddlePaddle, but there is no XPU "
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"detected on your machine. Maybe CUDA devices is not set properly."
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f"\n Original Error is {e}, "
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f"{str(traceback.format_exc())}"
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)
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return False
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@classmethod
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def get_attention_backend_cls(cls, selected_backend):
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"""
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get_attention_backend_cls
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"""
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# TODO: 等支持配置 attention engine 之后再改回去
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return "fastdeploy.model_executor.layers.attention.XPUAttentionBackend"
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if selected_backend == _Backend.NATIVE_ATTN:
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return "fastdeploy.model_executor.layers.attention.XPUAttentionBackend"
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else:
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logger.warning("Other backends are not supported for now for XPU.")
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