From acf77701bde73293f89d736308004f198782dd5c Mon Sep 17 00:00:00 2001
From: wqz960 <362379625@qq.com>
Date: Sun, 28 Jun 2020 04:56:43 +0000
Subject: [PATCH] modify

---
 ppcls/modeling/architectures/ghostnet.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/ppcls/modeling/architectures/ghostnet.py b/ppcls/modeling/architectures/ghostnet.py
index cd5546a7..8f9c54b6 100644
--- a/ppcls/modeling/architectures/ghostnet.py
+++ b/ppcls/modeling/architectures/ghostnet.py
@@ -147,13 +147,12 @@ class GhostNet():
         stdv = 1.0 / math.sqrt(squeeze.shape[1] * 1.0)
         excitation = fluid.layers.fc(input=squeeze,
                                     size=num_channels,
-                                    act="hard_sigmoid",
+                                    act=None,
                                     param_attr=fluid.param_attr.ParamAttr(
                                         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)
-        print("using hardsigmoid")
         se_scale = fluid.layers.elementwise_mul(x=input, y=excitation, axis=0)
         return se_scale
 
-- 
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