Merge pull request #186 from wqz960/PaddleClas_0630

fix ghostnet bug

configs/EfficientNet/EfficientNetB0.yaml

@@ -19,7 +19,6 @@ topk: 5
 image_shape: [3, 224, 224]
 use_ema: True
 ema_decay: 0.9999
-use_aa: True
 ls_epsilon: 0.1
 
 LEARNING_RATE:
@@ -46,7 +45,7 @@ TRAIN:
     transforms:
         - DecodeImage:
             to_rgb: True
-            to_np: Fals
+            to_np: False
             channel_first: False
         - RandCropImage:
             size: 224
@@ -85,5 +84,3 @@ VALID:
             std: [0.229, 0.224, 0.225]
             order: ''
         - ToCHWImage:
-
-

ppcls/modeling/architectures/ghostnet.py

+#copyright (c) 2020 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.
+
 from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function
@@ -152,7 +166,7 @@ class GhostNet():
                                         initializer=fluid.initializer.Uniform(-stdv, stdv),
                                         name=name + '_2_weights'),
                                     bias_attr=ParamAttr(name=name + '_2_offset'))
-        #excitation = fluid.layers.clip(x=excitation, min=0, max=1)
+        excitation = fluid.layers.clip(x=excitation, min=0, max=1)
         se_scale = fluid.layers.elementwise_mul(x=input, y=excitation, axis=0)
         return se_scale