提交 96fbbad0 编写于 作者: C cuicheng01

update mobilevit.py

上级 44b9963b
# copyright (c) 2022 PaddlePaddle Authors. All Rights Reserve.
#
# 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.
# Code was based on https://github.com/BR-IDL/PaddleViT/blob/develop/image_classification/MobileViT/mobilevit.py
# and https://github.com/apple/ml-cvnets/blob/main/cvnets/models/classification/mobilevit.py
import paddle import paddle
from paddle import ParamAttr from paddle import ParamAttr
import paddle.nn as nn import paddle.nn as nn
...@@ -459,8 +476,3 @@ def MobileViT_S(pretrained=False, use_ssld=False, **kwargs): ...@@ -459,8 +476,3 @@ def MobileViT_S(pretrained=False, use_ssld=False, **kwargs):
_load_pretrained( _load_pretrained(
pretrained, model, MODEL_URLS["MobileViT_S"], use_ssld=use_ssld) pretrained, model, MODEL_URLS["MobileViT_S"], use_ssld=use_ssld)
return model return model
if __name__ == "__main__":
model = MobileViT_XXS()
paddle.flops(model, [1, 3, 256, 256])
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