fix deconv transpose filter

mace/python/tools/converter_tool/transformer.py

@@ -983,6 +983,7 @@ class Transformer(base_converter.ConverterInterface):
         net = self._model
         filter_format = self.filter_format()
         transposed_filter = set()
+        transposed_deconv_filter = set()
 
         if self._option.quantize:
             print("Transpose filters to OHWI")
@@ -995,9 +996,9 @@ class Transformer(base_converter.ConverterInterface):
                            "filter format: %s" % filter_format.name)
 
             for op in net.op:
-                if (op.type == MaceOp.Conv2D.name
-                        or op.type == MaceOp.Deconv2D.name) \
-                        and op.input[1] not in transposed_filter:
+                if (op.type == MaceOp.Conv2D.name or
+                    op.type == MaceOp.Deconv2D.name) and\
+                        op.input[1] not in transposed_filter:
                     filter = self._consts[op.input[1]]
                     filter_data = np.array(filter.float_data).reshape(
                         filter.dims)
@@ -1005,6 +1006,17 @@ class Transformer(base_converter.ConverterInterface):
                     filter.float_data[:] = filter_data.flat
                     filter.dims[:] = filter_data.shape
                     transposed_filter.add(op.input[1])
+            # deconv's filter's output channel and input channel is reversed
+            for op in net.op:
+                if op.type == MaceOp.Deconv2D.name and \
+                        op.input[1] not in transposed_deconv_filter:
+                    filter = self._consts[op.input[1]]
+                    filter_data = np.array(filter.float_data).reshape(
+                        filter.dims)
+                    filter_data = filter_data.transpose(3, 1, 2, 0)
+                    filter.float_data[:] = filter_data.flat
+                    filter.dims[:] = filter_data.shape
+                    transposed_deconv_filter.add(op.input[1])
 
             self.set_filter_format(FilterFormat.OHWI)
         else:
@@ -1045,16 +1057,17 @@ class Transformer(base_converter.ConverterInterface):
                             transposed_filter.add(op.input[1])
 
                 self.set_filter_format(FilterFormat.OIHW)
+            # deconv's filter's output channel and input channel is reversed
             for op in net.op:
                 if op.type == MaceOp.Deconv2D.name \
-                        and op.input[1] not in transposed_filter:
+                        and op.input[1] not in transposed_deconv_filter:
                     filter = self._consts[op.input[1]]
                     filter_data = np.array(filter.float_data).reshape(
                         filter.dims)
                     filter_data = filter_data.transpose(1, 0, 2, 3)
                     filter.float_data[:] = filter_data.flat
                     filter.dims[:] = filter_data.shape
-                    transposed_filter.add(op.input[1])
+                    transposed_deconv_filter.add(op.input[1])
 
         return False