modify lenet normal

model_zoo/official/cv/lenet/src/lenet.py

@@ -14,6 +14,7 @@
 # ============================================================================
 """LeNet."""
 import mindspore.nn as nn
+from mindspore.common.initializer import Normal
 
 
 class LeNet5(nn.Cell):
@@ -22,7 +23,7 @@ class LeNet5(nn.Cell):
 
     Args:
         num_class (int): Num classes. Default: 10.
-        channel (int): Num classes. Default: 1.
+        num_channel (int): Num channels. Default: 1.
 
     Returns:
         Tensor, output tensor
@@ -30,14 +31,13 @@ class LeNet5(nn.Cell):
         >>> LeNet(num_class=10)
 
     """
-    def __init__(self, num_class=10, channel=1):
+    def __init__(self, num_class=10, num_channel=1):
         super(LeNet5, self).__init__()
-        self.num_class = num_class
-        self.conv1 = nn.Conv2d(channel, 6, 5, pad_mode='valid')
+        self.conv1 = nn.Conv2d(num_channel, 6, 5, pad_mode='valid')
         self.conv2 = nn.Conv2d(6, 16, 5, pad_mode='valid')
-        self.fc1 = nn.Dense(16 * 5 * 5, 120)
-        self.fc2 = nn.Dense(120, 84)
-        self.fc3 = nn.Dense(84, self.num_class)
+        self.fc1 = nn.Dense(16 * 5 * 5, 120, weight_init=Normal(0.02))
+        self.fc2 = nn.Dense(120, 84, weight_init=Normal(0.02))
+        self.fc3 = nn.Dense(84, num_class, weight_init=Normal(0.02))
         self.relu = nn.ReLU()
         self.max_pool2d = nn.MaxPool2d(kernel_size=2, stride=2)
         self.flatten = nn.Flatten()