mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-09-26 20:41:53 +08:00
f1b5392e20
* [Intel HPU] Support intel hpu platform * fix some issues * apply precommit and move AttentionBackend_HPU * fix format issue * correct ops import * fix ci issue * update code in layers * fix code style issue * remove dense tp moe ep mode * fix enc_dec_block_num * fix rebase issue * rename hpu to gaudi in readme * rename ForwardMeta_HPU to HPUForwardMeta
53 lines
1.9 KiB
Python
53 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.
|
|
import paddle
|
|
|
|
from fastdeploy.utils import console_logger as logger
|
|
|
|
from .base import Platform, _Backend
|
|
|
|
|
|
class INTEL_HPUPlatform(Platform):
|
|
device_name = "intel_hpu"
|
|
|
|
@classmethod
|
|
def available(self):
|
|
"""
|
|
Check whether Intel HPU is available.
|
|
"""
|
|
try:
|
|
assert paddle.base.core.get_custom_device_count("intel_hpu") > 0
|
|
return True
|
|
except Exception as e:
|
|
logger.warning(
|
|
"You are using Intel HPU platform, but there is no Intel HPU "
|
|
"detected on your machine. Maybe Intel HPU 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.HPU_ATTN:
|
|
logger.info("Using HPU ATTN backend.")
|
|
return "fastdeploy.model_executor.layers.backends.intel_hpu.attention.HPUAttentionBackend"
|
|
else:
|
|
logger.warning("Other backends are not supported for now.")
|