fix the type error caused by setting bool attr in OpDesc. test=develop (#22257)

paddle/fluid/framework/op_desc.cc

@@ -469,6 +469,14 @@ void OpDesc::SetAttr(const std::string &name, const Attribute &v) {
     return;
   }
 
+  // In order to set bool attr properly
+  if (attr_type == proto::AttrType::INT && HasProtoAttr(name) &&
+      GetProtoAttr(name).type() == proto::AttrType::BOOLEAN) {
+    this->attrs_[name] = static_cast<bool>(boost::get<int>(v));
+    need_update_ = true;
+    return;
+  }
+
   this->attrs_[name] = v;
   need_update_ = true;
 }

python/paddle/fluid/tests/unittests/test_set_bool_attr.py

@@ -0,0 +1,39 @@
+#   Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import paddle.fluid as fluid
+import unittest
+
+
+class TestAttrSet(unittest.TestCase):
+    def test_set_bool_attr(self):
+        x = fluid.layers.data(name='x', shape=[3, 7, 3, 7], dtype='float32')
+        param_attr = fluid.ParamAttr(
+            name='batch_norm_w',
+            initializer=fluid.initializer.Constant(value=1.0))
+        bias_attr = fluid.ParamAttr(
+            name='batch_norm_b',
+            initializer=fluid.initializer.Constant(value=0.0))
+        bn = fluid.layers.batch_norm(
+            input=x, param_attr=param_attr, bias_attr=bias_attr)
+        block = fluid.default_main_program().desc.block(0)
+        op = block.op(0)
+        before_type = op.attr_type('is_test')
+        op._set_attr('is_test', True)
+        after_type = op.attr_type('is_test')
+        self.assertEqual(before_type, after_type)
+
+
+if __name__ == '__main__':
+    unittest.main()