mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-09-26 20:41:53 +08:00
4325b737e7
* 【FIX】Change the name of sparse attn from moba to plas (#4006) * 更新文档 * 【docs】 update readme (#4000) * 更新文档 * update readme * update docs * 【FIX】Change the name of sparse attn from moba to plas (#3845) * 更新文档 * 更新文档 * 更新文档 * 更新文档 * 修改moba为plas * code style * update ci * code style * update ci * code style --------- Co-authored-by: Jiang-Jia-Jun <163579578+Jiang-Jia-Jun@users.noreply.github.com> * fix max_num_seqs * fix test load attn --------- Co-authored-by: Jiang-Jia-Jun <163579578+Jiang-Jia-Jun@users.noreply.github.com>
111 lines
2.9 KiB
Python
111 lines
2.9 KiB
Python
# Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
"""
|
|
platform interface file
|
|
"""
|
|
|
|
import enum
|
|
|
|
import paddle
|
|
|
|
|
|
class _Backend(enum.Enum):
|
|
NATIVE_ATTN = enum.auto()
|
|
APPEND_ATTN = enum.auto()
|
|
MLA_ATTN = enum.auto()
|
|
FLASH_ATTN = enum.auto()
|
|
BLOCK_ATTN = enum.auto()
|
|
PLAS_ATTN = enum.auto()
|
|
|
|
|
|
class Platform:
|
|
"""
|
|
Platform base class, all device class will be derived from it
|
|
"""
|
|
|
|
device_name: str
|
|
|
|
def is_cuda(self) -> bool:
|
|
"""
|
|
whether platform is cuda
|
|
"""
|
|
return paddle.is_compiled_with_cuda() and not paddle.is_compiled_with_rocm()
|
|
|
|
def is_npu(self) -> bool:
|
|
"""
|
|
whether platform is npu
|
|
"""
|
|
return paddle.is_compiled_with_custom_device("npu")
|
|
|
|
def is_xpu(self) -> bool:
|
|
"""
|
|
whether platform is xpu
|
|
"""
|
|
return paddle.is_compiled_with_xpu()
|
|
|
|
def is_cpu(self) -> bool:
|
|
"""
|
|
whether platform is cpu
|
|
"""
|
|
return paddle.device.get_device().lower() == "cpu"
|
|
|
|
def is_dcu(self) -> bool:
|
|
"""
|
|
whether platform is dcu
|
|
"""
|
|
return paddle.is_compiled_with_rocm()
|
|
|
|
def is_iluvatar(self) -> bool:
|
|
"""
|
|
whether platform is iluvatar gpu
|
|
"""
|
|
return paddle.is_compiled_with_custom_device("iluvatar_gpu")
|
|
|
|
def is_gcu(self) -> bool:
|
|
"""
|
|
whether platform is gcu
|
|
"""
|
|
return paddle.is_compiled_with_custom_device("gcu")
|
|
|
|
def is_maca(self) -> bool:
|
|
"""
|
|
whether platform is metax gpu
|
|
"""
|
|
return paddle.is_compiled_with_custom_device("metax_gpu")
|
|
|
|
@classmethod
|
|
def get_attention_backend_cls(self, selected_backend):
|
|
"""Get the attention backend"""
|
|
return ""
|
|
|
|
@classmethod
|
|
def verify_quant(self, quant):
|
|
"""
|
|
Verify whether the quantization is supported by the current platform.
|
|
"""
|
|
if self.supported_quantization and quant not in self.supported_quantization:
|
|
raise ValueError(f"{quant} quantization is currently not supported in " f"{self.device_name}.")
|
|
|
|
@classmethod
|
|
def available(self):
|
|
"""Return whether the device is available"""
|
|
return True
|
|
|
|
@classmethod
|
|
def supports_fp8(self) -> bool:
|
|
"""
|
|
Returns whether the current platform supports FP8 types.
|
|
"""
|
|
return False
|