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* support fa3 backend run in pd disaggregated * support fa3 backend run in pd disaggregated * support fa3 backend run in pd disaggregated * support fa3 backend run in pd disaggregated * delete use_fast_ffn
75 lines
2.5 KiB
Python
75 lines
2.5 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 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 CUDAPlatform(Platform):
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"""
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cuda platform class
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"""
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device_name = "gpu"
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@classmethod
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def available(self):
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"""
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Check whether CUDA is available.
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"""
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try:
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assert len(paddle.static.cuda_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 GPU version PaddlePaddle, but there is no GPU "
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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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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 NATIVE ATTN backend.")
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return (
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"fastdeploy.model_executor.layers.attention.PaddleNativeAttnBackend"
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)
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elif selected_backend == _Backend.APPEND_ATTN:
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logger.info("Using APPEND ATTN backend.")
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return (
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"fastdeploy.model_executor.layers.attention.AppendAttentionBackend"
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)
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elif selected_backend == _Backend.MLA_ATTN:
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logger.info("Using MLA ATTN backend.")
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return (
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"fastdeploy.model_executor.layers.attention.MLAAttentionBackend"
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)
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elif selected_backend == _Backend.FLASH_ATTN:
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logger.info("Using FLASH ATTN backend.")
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return (
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"fastdeploy.model_executor.layers.attention.FlashAttentionBackend"
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)
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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, MLA_ATTN, APPEND_ATTN] in cuda place."
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)
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