From 9ecfc34809cd4cb8a428a926612138db1b688854 Mon Sep 17 00:00:00 2001
From: WenmuZhou <572459439@qq.com>
Date: Wed, 5 Jan 2022 14:49:04 +0000
Subject: [PATCH] rm const decay

---
 configs/vqa/re/layoutxlm.yml   |  2 +-
 configs/vqa/ser/layoutlm.yml   |  2 +-
 configs/vqa/ser/layoutxlm.yml  |  2 +-
 ppocr/optimizer/regularizer.py | 26 +++++---------------------
 4 files changed, 8 insertions(+), 24 deletions(-)

diff --git a/configs/vqa/re/layoutxlm.yml b/configs/vqa/re/layoutxlm.yml
index bb367f0e..8d0ffadf 100644
--- a/configs/vqa/re/layoutxlm.yml
+++ b/configs/vqa/re/layoutxlm.yml
@@ -36,7 +36,7 @@ Optimizer:
   lr:
     learning_rate: 0.00005
   regularizer:
-    name: Const
+    name: L2
     factor: 0.00000
     
 PostProcess:
diff --git a/configs/vqa/ser/layoutlm.yml b/configs/vqa/ser/layoutlm.yml
index a635fc7d..f29153a2 100644
--- a/configs/vqa/ser/layoutlm.yml
+++ b/configs/vqa/ser/layoutlm.yml
@@ -38,7 +38,7 @@ Optimizer:
     epochs: *epoch_num
     warmup_epoch: 2
   regularizer:
-    name: Const
+    name: L2
     factor: 0.00000
     
 PostProcess:
diff --git a/configs/vqa/ser/layoutxlm.yml b/configs/vqa/ser/layoutxlm.yml
index 1c1eac22..14041eb2 100644
--- a/configs/vqa/ser/layoutxlm.yml
+++ b/configs/vqa/ser/layoutxlm.yml
@@ -38,7 +38,7 @@ Optimizer:
     epochs: *epoch_num
     warmup_epoch: 2
   regularizer:
-    name: Const
+    name: L2
     factor: 0.00000
     
 PostProcess:
diff --git a/ppocr/optimizer/regularizer.py b/ppocr/optimizer/regularizer.py
index 83010e65..d48831fc 100644
--- a/ppocr/optimizer/regularizer.py
+++ b/ppocr/optimizer/regularizer.py
@@ -29,39 +29,23 @@ class L1Decay(object):
 
     def __init__(self, factor=0.0):
         super(L1Decay, self).__init__()
-        self.regularization_coeff = factor
+        self.coeff = factor
 
     def __call__(self):
-        reg = paddle.regularizer.L1Decay(self.regularization_coeff)
+        reg = paddle.regularizer.L1Decay(self.coeff)
         return reg
 
 
 class L2Decay(object):
     """
-    L2 Weight Decay Regularization, which encourages the weights to be sparse.
+    L2 Weight Decay Regularization, which helps to prevent the model over-fitting.
     Args:
         factor(float): regularization coeff. Default:0.0.
     """
 
     def __init__(self, factor=0.0):
         super(L2Decay, self).__init__()
-        self.regularization_coeff = factor
+        self.coeff = factor
 
     def __call__(self):
-        reg = paddle.regularizer.L2Decay(self.regularization_coeff)
-        return reg
-
-
-class ConstDecay(object):
-    """
-    Const L2 Weight Decay Regularization, which encourages the weights to be sparse.
-    Args:
-        factor(float): regularization coeff. Default:0.0.
-    """
-
-    def __init__(self, factor=0.0):
-        super(ConstDecay, self).__init__()
-        self.regularization_coeff = factor
-
-    def __call__(self):
-        return self.regularization_coeff
+        return self.coeff
\ No newline at end of file
-- 
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