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ConvPool.py

@@ -0,0 +1,43 @@
+import paddle.fluid as fluid
+class ConvPool(fluid.dygraph.Layer):
+    def __init__(self,
+                 num_channels,
+                 num_filters,
+                 filter_size,
+                 pool_size,
+                 pool_stride,
+                 groups,
+                 pool_padding=0,
+                 pool_type='max',
+                 conv_stride=1,
+                 conv_padding=1,
+                 act=None):
+        super(ConvPool,self).__init__()
+        self._conv2d_list=[]
+        for i in range (groups):
+            conv2d = self.add_sublayer('bb_%d'%i,
+                                       fluid.dygraph.Conv2D(
+                                           num_channels=num_channels,
+                                           num_filters=num_filters,
+                                           filter_size=filter_size,
+                                           stride=conv_stride,
+                                           padding=conv_padding,
+                                           act=act
+                                       ))
+
+            num_channels = num_filters
+            self._conv2d_list.append(conv2d)
+
+        self._pool2d=fluid.dygraph.Pool2D(
+            pool_size=pool_size,
+            pool_type=pool_type,
+            pool_stride=pool_stride,
+            pool_padding=pool_padding
+        )
+
+    def forward(self, inputs):
+        x= inputs
+        for conv in self._conv2d_list:
+            x= conv(x)
+        x = self._pool2d(x)
+        return x