mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-05 16:48:03 +08:00
b4fef2cf29
* [MetaxGPU] Support FastDeploy on metax gpu * Update metax_worker.py 1. change worker log; 2. remove custom allreduce, adapt it later; 3. remove cuda graph; * Update __init__.py 1. remove metax's key work comment * Update __init__.py 1. remove metax's key word comment; 2. add fused_moe_kernel_paddle import --------- Co-authored-by: yongqiangma <xing.wo@163.com>
66 lines
2.1 KiB
Python
66 lines
2.1 KiB
Python
"""
|
|
# Copyright (c) 2025 MetaX-tech 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.
|
|
"""
|
|
|
|
"""
|
|
maca platform file
|
|
"""
|
|
|
|
import paddle
|
|
from paddleformers.utils.log import logger
|
|
|
|
from .base import Platform, _Backend
|
|
|
|
|
|
class MACAPlatform(Platform):
|
|
"""
|
|
maca platform class
|
|
"""
|
|
|
|
device_name = "metax_gpu"
|
|
|
|
@classmethod
|
|
def available(self):
|
|
"""
|
|
Check whether MACA is available.
|
|
"""
|
|
try:
|
|
assert len(paddle.static.cuda_places()) > 0
|
|
return True
|
|
except Exception as e:
|
|
logger.warning(
|
|
"You are using GPU version PaddlePaddle, but there is no GPU "
|
|
"detected on your machine. Maybe CUDA devices is not set properly."
|
|
f"\n Original Error is {e}"
|
|
)
|
|
return False
|
|
|
|
@classmethod
|
|
def get_attention_backend_cls(cls, selected_backend: _Backend):
|
|
"""
|
|
get_attention_backend_cls
|
|
"""
|
|
if selected_backend == _Backend.NATIVE_ATTN:
|
|
logger.info("Using NATIVE ATTN backend.")
|
|
return "fastdeploy.model_executor.layers.attention.PaddleNativeAttnBackend"
|
|
elif selected_backend == _Backend.APPEND_ATTN:
|
|
logger.info("Using FLASH ATTN backend to instead of attend attention.")
|
|
return "fastdeploy.model_executor.layers.backends.metax.attention.flash_attn_backend.FlashAttentionBackend"
|
|
else:
|
|
raise ValueError(
|
|
"Invalid attention backend you specified.\n"
|
|
"Now only support [NATIVE_ATTN, MLA_ATTN, APPEND_ATTN] in cuda place."
|
|
)
|