Delete ppcls/arch/neck directory

ppcls/arch/neck/__init__.py

@@ -1,23 +0,0 @@
-# Copyright (c) 2021 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.
-
-__all__ = ['build_neck"]
-
-def build_neck(config):
-    support_dict = ['FPN', 'FC']
-    module_name = config.pop('name')
-    assert module_name in support_dict, Exception('neck only support {}'.format(
-        support_dict))
-    module_class = eval(module_name)(**config)
-    return module_class

ppcls/arch/neck/fc.py

@@ -1,33 +0,0 @@
-# Copyright (c) 2021 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.
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
-import paddle
-import paddle.nn as nn
-
-class FC(nn.Layer):
-    def __init__(self, input_dim, 
-                       embedding_size):
-        super(FC, self).__init__()
-        self.input_dim  = input_dim
-        self.embedding_size = embedding_size
-        weight_attr =  paddle.ParamAttr(initializer = paddle.nn.initializer.XavierNormal())
-        self.fc  =  paddle.nn.Linear(self.input_dim, self.embedding_size, weight_attr=weight_attr)    
-
-    def forward(self, x):
-        x = self.fc(x)
-        return x