Files
FastDeploy/fastdeploy/platforms/intel_hpu.py
fmiao2372 404cf0ece4 [Intel HPU] enable tensor_wise_fp8 (#5324)
* [Intel HPU] enable tensor_wise_fp8

* update code based on comments

* fix code style issue

* fix bug about RP 5138

* mv kv_cache modifications to HPU backend

* fix FP8 Precision Issues

* fix FP8 Precision Issues

* Add quantization UT

---------

Co-authored-by: yanfeich <yanfei.cheng@intel.com>
Co-authored-by: YuBaoku <49938469+EmmonsCurse@users.noreply.github.com>
2025-12-17 16:45:03 +08:00

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.HPUAttentionBackend"
else:
logger.warning("Other backends are not supported for now.")