fix the shufflechannel and convert.py

x2paddle/convert.py

@@ -82,17 +82,20 @@ def tf2paddle(model_path, save_dir):
 
 
 def caffe2paddle(proto, weight, save_dir, caffe_proto):
-    try:
-        import caffe
-        version = caffe.__version__
-        if version == '1.0.0':
-            print("caffe == 1.0.0 is required")
-            return
-    except:
-        print("Caffe is not installed.")
+    if caffe_proto is not None:
         import os
         if not os.path.isfile(caffe_proto + 'caffe_pb2.py'):
             print("The file that resolve caffe is not exist.")
+            return
+    else:
+        try:
+            import caffe
+            version = caffe.__version__
+            if version != '1.0.0':
+                print("caffe == 1.0.0 is required")
+                return
+        except:
+            print("Caffe is not installed.")
             print(
                 "You have 2 options: 1. install caffe 2. compile the caffe.proto"
             )

x2paddle/op_mapper/caffe_custom_layer/shufflechannel.py

@@ -8,7 +8,13 @@ def shufflechannel_shape(input_shape):
 
 def shufflechannel_layer(inputs, group=None, input_shape=None, name=None):
     input = inputs[0]
-    out = fluid.layers.shuffle_channel(input, group=group, name=name)
+    c_fm = fluid.layers.split(input, num_or_sections=input_shape[0][1], dim=1)
+    size = int(input_shape[0][1]/group)
+    new_c_fm = []
+    for i in range(size):
+        for j in range(group):
+            new_c_fm.append(c_fm[j * size + i])
+    out = fluid.layers.concat(new_c_fm, axis = 1)
     return out