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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>
66 lines
2.2 KiB
Python
66 lines
2.2 KiB
Python
"""
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# 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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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 GCUPlatform(Platform):
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"""
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gcu platform class
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"""
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device_name = "gcu"
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@classmethod
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def available(self):
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"""
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Check whether GCU is available.
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"""
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try:
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assert paddle.base.core.get_custom_device_count("gcu") > 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 GCUPlatform, but there is no GCU "
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"detected on your machine. Maybe GCU 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: _Backend):
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"""
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get_attention_backend_cls
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"""
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if selected_backend == _Backend.NATIVE_ATTN:
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logger.info("Using GCU mem_efficient ATTN backend.")
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return "fastdeploy.model_executor.layers.backends.gcu.attention.mem_efficient_attn_backend.GCUMemEfficientAttnBackend"
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elif selected_backend == _Backend.APPEND_ATTN:
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logger.info("Using GCU ATTN backend.")
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return "fastdeploy.model_executor.layers.backends.gcu.attention.flash_attn_backend.GCUFlashAttnBackend"
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else:
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raise ValueError(
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"Invalid attention backend you specified.\n"
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"Now only support [NATIVE_ATTN, APPEND_ATTN] in gcu place."
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)
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