mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-04 16:22:57 +08:00
62 lines
1.9 KiB
Python
62 lines
1.9 KiB
Python
# Copyright (c) 2025 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.
|
|
"""
|
|
dcu platform file
|
|
"""
|
|
import paddle
|
|
from .base import Platform, _Backend
|
|
from paddleformers.utils.log import logger
|
|
|
|
|
|
class DCUPlatform(Platform):
|
|
"""
|
|
dcu platform class
|
|
"""
|
|
device_name = "dcu"
|
|
|
|
@classmethod
|
|
def available(self):
|
|
"""
|
|
Check whether CUDA 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
|
|
):
|
|
"""
|
|
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.BLOCK_ATTN:
|
|
logger.info("Using BLOCK ATTN backend.")
|
|
return ("fastdeploy.model_executor.layers.attention.BlockAttentionBackend")
|
|
else:
|
|
logger.warning(
|
|
"Other backends are not supported for now."
|
|
)
|