support batch mix

ppcls/configs/ImageNet/DarkNet/DarkNet53.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/configs/ImageNet/DataAugment/ResNet50_Cutmix.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
   Eval:
     - CELoss:

ppcls/configs/ImageNet/DataAugment/ResNet50_Mixup.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
   Eval:
     - CELoss:

ppcls/configs/ImageNet/Inception/InceptionV3.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/configs/ImageNet/Inception/InceptionV4.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/configs/ImageNet/Res2Net/Res2Net101_vd_26w_4s.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/configs/ImageNet/Res2Net/Res2Net200_vd_26w_4s.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/configs/ImageNet/Res2Net/Res2Net50_14w_8s.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/configs/ImageNet/Res2Net/Res2Net50_26w_4s.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/configs/ImageNet/Res2Net/Res2Net50_vd_26w_4s.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/configs/ImageNet/ResNeXt/ResNeXt101_vd_32x4d.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/configs/ImageNet/ResNeXt/ResNeXt101_vd_64x4d.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/configs/ImageNet/ResNeXt/ResNeXt152_vd_32x4d.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/configs/ImageNet/ResNeXt/ResNeXt152_vd_64x4d.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/configs/ImageNet/ResNeXt/ResNeXt50_vd_32x4d.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/configs/ImageNet/ResNeXt/ResNeXt50_vd_64x4d.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/configs/ImageNet/ResNet/ResNet101_vd.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/configs/ImageNet/ResNet/ResNet152_vd.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/configs/ImageNet/ResNet/ResNet18_vd.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/configs/ImageNet/ResNet/ResNet200_vd.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/configs/ImageNet/ResNet/ResNet34_vd.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/configs/ImageNet/ResNet/ResNet50_vd.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/configs/ImageNet/SENet/SENet154_vd.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/configs/ImageNet/SENet/SE_ResNeXt101_32x4d.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/configs/ImageNet/SENet/SE_ResNeXt50_32x4d.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/configs/ImageNet/SENet/SE_ResNeXt50_vd_32x4d.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/configs/ImageNet/SENet/SE_ResNet18_vd.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/configs/ImageNet/SENet/SE_ResNet34_vd.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/configs/ImageNet/SENet/SE_ResNet50_vd.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/configs/ImageNet/Xception/Xception65.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/configs/ImageNet/Xception/Xception71.yaml

@@ -22,7 +22,7 @@ Arch:
 # loss function config for traing/eval process
 Loss:
   Train:
-    - CELoss:
+    - MixCELoss:
         weight: 1.0
         epsilon: 0.1
   Eval:

ppcls/engine/trainer.py

@@ -173,8 +173,11 @@ class Trainer(object):
                     out = self.model(batch[0])
                 else:
                     out = self.model(batch[0], batch[1])
-
                 # calc loss
+                if self.config["DataLoader"]["Train"]["dataset"].get(
+                        "batch_transform_ops", None):
+                    loss_dict = self.train_loss_func(out, batch[1:])
+                else:
                     loss_dict = self.train_loss_func(out, batch[1])
 
                 for key in loss_dict:

ppcls/loss/__init__.py

@@ -4,7 +4,7 @@ import paddle
 import paddle.nn as nn
 from ppcls.utils import logger
 
-from .celoss import CELoss
+from .celoss import CELoss, MixCELoss
 from .googlenetloss import GoogLeNetLoss
 from .centerloss import CenterLoss
 from .emlloss import EmlLoss
@@ -30,7 +30,6 @@ class CombinedLoss(nn.Layer):
         assert isinstance(config_list, list), (
             'operator config should be a list')
         for config in config_list:
-            print(config)
             assert isinstance(config,
                               dict) and len(config) == 1, "yaml format error"
             name = list(config)[0]

ppcls/loss/celoss.py

@@ -18,6 +18,10 @@ import paddle.nn.functional as F
 
 
 class CELoss(nn.Layer):
+    """
+    Cross entropy loss
+    """
+
     def __init__(self, epsilon=None):
         super().__init__()
         if epsilon is not None and (epsilon <= 0 or epsilon >= 1):
@@ -50,3 +54,21 @@ class CELoss(nn.Layer):
             loss = F.cross_entropy(x, label=label, soft_label=soft_label)
         loss = loss.mean()
         return {"CELoss": loss}
+
+
+class MixCELoss(CELoss):
+    """
+    Cross entropy loss with mix(mixup, cutmix, fixmix)
+    """
+
+    def __init__(self, epsilon=None):
+        super().__init__()
+        self.epsilon = epsilon
+
+    def __call__(self, input, batch):
+        target0, target1, lam = batch
+        loss0 = super().forward(input, target0)["CELoss"]
+        loss1 = super().forward(input, target1)["CELoss"]
+        loss = lam * loss0 + (1.0 - lam) * loss1
+        loss = paddle.mean(loss)
+        return {"MixCELoss": loss}