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https://github.com/PaddlePaddle/FastDeploy.git
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Mattheliu
d75b1b8df1
Replace paddle.device.cuda.get_device_properties() with paddle.device.get_device_properties() to support all hardware platforms (NVIDIA, ILUVATAR, HPU, etc.) Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
56 lines
1.7 KiB
Python
56 lines
1.7 KiB
Python
# Copyright (c) 2024 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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"""fastdeploy gpu ops"""
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import sys
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from fastdeploy.import_ops import import_custom_ops
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PACKAGE = "fastdeploy.model_executor.ops.gpu"
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def decide_module():
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import os
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import paddle
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# Use paddle.device.get_device_properties() instead of paddle.device.cuda.get_device_properties()
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# to support all hardware platforms (NVIDIA, ILUVATAR, HPU, etc.)
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prop = paddle.device.get_device_properties()
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sm_version = prop.major * 10 + prop.minor
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print(f"current sm_version={sm_version}")
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curdir = os.path.dirname(os.path.abspath(__file__))
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sm_version_path = os.path.join(curdir, f"fastdeploy_ops_{sm_version}")
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if os.path.exists(sm_version_path):
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return f".fastdeploy_ops_{sm_version}.fastdeploy_ops"
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return ".fastdeploy_ops"
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module_path = ".fastdeploy_ops"
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try:
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module_path = decide_module()
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except Exception as e:
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print(f"decide_module error, load custom_ops from .fastdeploy_ops: {e}")
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pass
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import_custom_ops(PACKAGE, module_path, globals())
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def tolerant_import_error():
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class NoneModule:
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def __getattr__(self, name):
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return None
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sys.modules[__name__] = NoneModule()
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