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https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-21 15:49:31 +08:00
[GCU] Support gcu platform (#2702)
baseline: e7fa57ebae
Co-authored-by: yongqiangma <xing.wo@163.com>
This commit is contained in:
@@ -22,6 +22,7 @@ from .xpu import XPUPlatform
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from .npu import NPUPlatform
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from .dcu import DCUPlatform
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from .iluvatar import IluvatarPlatform
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from .gcu import GCUPlatform
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from .base import _Backend # noqa: F401
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_current_platform = None
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@@ -42,6 +43,8 @@ def __getattr__(name: str):
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_current_platform = DCUPlatform()
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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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else:
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_current_platform = CPUPlatform()
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return _current_platform
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@@ -69,6 +69,12 @@ class Platform:
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"""
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return paddle.is_compiled_with_custom_device("iluvatar_gpu")
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def is_gcu(self) -> bool:
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"""
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whether platform is gcu
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"""
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return paddle.is_compiled_with_custom_device("gcu")
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@classmethod
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def get_attention_backend_cls(self, selected_backend):
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"""Get the attention backend"""
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61
fastdeploy/platforms/gcu.py
Normal file
61
fastdeploy/platforms/gcu.py
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@@ -0,0 +1,61 @@
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"""
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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 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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)
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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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