diff --git a/paddle/fluid/operators/flatten_op_npu.cc b/paddle/fluid/operators/flatten_op_npu.cc
new file mode 100644
index 0000000000000000000000000000000000000000..3fe1f0419190d0ab636209a11aaba2ba57582035
--- /dev/null
+++ b/paddle/fluid/operators/flatten_op_npu.cc
@@ -0,0 +1,47 @@
+// Copyright (c) 2021 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.
+#include "paddle/fluid/operators/flatten_op.h"
+#include "paddle/fluid/operators/npu_op_runner.h"
+
+namespace paddle {
+namespace operators {
+
+template <typename T>
+class Flatten2NPUKernel : public framework::OpKernel<T> {
+ public:
+  void Compute(const framework::ExecutionContext &context) const override {
+    auto *in = context.Input<framework::LoDTensor>("X");
+    auto *out = context.Output<framework::LoDTensor>("Out");
+    auto &axis = context.Attr<int>("axis");
+    out->mutable_data(context.GetPlace(), in->type());
+    framework::NPUAttributeMap attr_input = {{"axis", axis}};
+
+    auto stream =
+        context.template device_context<paddle::platform::NPUDeviceContext>()
+            .stream();
+    const auto &runner = NpuOpRunner("FlattenV2", {*in}, {*out}, attr_input);
+    runner.Run(stream);
+  }
+};
+}  // namespace operators
+}  // namespace paddle
+
+namespace ops = paddle::operators;
+
+REGISTER_OP_NPU_KERNEL(flatten2, ops::Flatten2NPUKernel<float>,
+                       ops::Flatten2NPUKernel<double>,
+                       ops::Flatten2NPUKernel<uint8_t>,
+                       ops::Flatten2NPUKernel<int>,
+                       ops::Flatten2NPUKernel<int8_t>,
+                       ops::Flatten2NPUKernel<int64_t>);
diff --git a/python/paddle/fluid/tests/unittests/npu/test_flatten2_op_npu.py b/python/paddle/fluid/tests/unittests/npu/test_flatten2_op_npu.py
new file mode 100644
index 0000000000000000000000000000000000000000..0fc0d1b7ac49110a79cc078d7debf0b53feb24e1
--- /dev/null
+++ b/python/paddle/fluid/tests/unittests/npu/test_flatten2_op_npu.py
@@ -0,0 +1,79 @@
+#   Copyright (c) 2021 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.
+
+from __future__ import print_function
+
+import unittest
+import sys
+sys.path.append("..")
+import numpy as np
+import paddle
+import paddle.fluid as fluid
+from op_test import OpTest
+paddle.enable_static()
+
+
+class TestFlatten2Op(OpTest):
+    def setUp(self):
+        self.set_npu()
+        self.op_type = "flatten2"
+        self.place = paddle.NPUPlace(0)
+        self.init_test_case()
+        self.inputs = {"X": np.random.random(self.in_shape).astype("float64")}
+        self.init_attrs()
+        self.outputs = {
+            "Out": self.inputs["X"].reshape(self.new_shape),
+            "XShape": np.random.random(self.in_shape).astype("float32")
+        }
+
+    def set_npu(self):
+        self.__class__.use_npu = True
+
+    def test_check_output(self):
+        self.check_output_with_place(self.place, no_check_set=["XShape"])
+
+    def init_test_case(self):
+        self.in_shape = (3, 2, 4, 5)
+        self.axis = 1
+        self.new_shape = (3, 40)
+
+    def init_attrs(self):
+        self.attrs = {"axis": self.axis}
+
+
+class TestFlatten2OpWithCornerAxis(TestFlatten2Op):
+    def init_test_case(self):
+        self.in_shape = (3, 2, 5, 4)
+        self.axis = 0
+        self.new_shape = (1, 120)
+
+
+class TestFlatten2OpWithDefaultAxis(TestFlatten2Op):
+    def init_test_case(self):
+        self.in_shape = (10, 2, 2, 3)
+        self.new_shape = (10, 12)
+
+    def init_attrs(self):
+        self.attrs = {}
+
+
+class TestFlatten2OpSixDims(TestFlatten2Op):
+    def init_test_case(self):
+        self.in_shape = (3, 2, 3, 2, 4, 4)
+        self.axis = 4
+        self.new_shape = (36, 16)
+
+
+if __name__ == "__main__":
+    unittest.main()