diff --git a/tests/ut/ge/hybrid/node_executor/aicore/aicore_op_task_unittest.cc b/tests/ut/ge/hybrid/node_executor/aicore/aicore_op_task_unittest.cc
new file mode 100644
index 00000000..ff48946d
--- /dev/null
+++ b/tests/ut/ge/hybrid/node_executor/aicore/aicore_op_task_unittest.cc
@@ -0,0 +1,91 @@
+/**
+ * Copyright 2021-2021 Huawei Technologies Co., Ltd
+ *
+ * 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 <gmock/gmock.h>
+#include <gtest/gtest.h>
+
+#include <vector>
+
+#define private public
+#define protected public
+#include "framework/common/taskdown_common.h"
+#include "hybrid/node_executor/aicore/aicore_op_task.h"
+#include "init/gelib.h"
+#undef private
+#undef protected
+
+using namespace std;
+using namespace testing;
+
+namespace ge {
+using namespace hybrid;
+
+class UtestAiCoreOpTask : public testing::Test {
+ protected:
+  void SetUp() {}
+  void TearDown() {}
+};
+
+static ge::OpDescPtr CreateOpDesc(string name = "", string type = "",
+                                  int in_num = 0, int out_num = 0) {
+  auto op_desc = std::make_shared<ge::OpDesc>(name, type);
+  op_desc->SetStreamId(0);
+  static int32_t index = 0;
+  op_desc->SetId(index++);
+
+  GeTensorDesc tensor(GeShape(), FORMAT_ND, DT_INT64);
+  TensorUtils::SetSize(tensor, 64);
+  vector<int64_t> input_offset;
+  for (int i = 0; i < in_num; ++i) {
+    op_desc->AddInputDesc(tensor);
+    input_offset.emplace_back(index * 64 + i * 64);
+  }
+  op_desc->SetInputOffset(input_offset);
+
+  vector<int64_t> output_offset;
+  for (int i = 0; i < out_num; ++i) {
+    op_desc->AddOutputDesc(tensor);
+    output_offset.emplace_back(index * 64 + in_num * 64 + i * 64);
+  }
+  op_desc->SetOutputOffset(output_offset);
+
+  op_desc->SetWorkspace({});
+  op_desc->SetWorkspaceBytes({});
+
+  ge::AttrUtils::SetStr(op_desc, ge::TVM_ATTR_NAME_MAGIC,
+                        "RT_DEV_BINARY_MAGIC_ELF_AIVEC");
+  bool support_dynamic = true;
+  ge::AttrUtils::GetBool(op_desc, "support_dynamicshape", support_dynamic);
+  return op_desc;
+}
+
+TEST_F(UtestAiCoreOpTask, Init_failed) {
+  dlog_setlevel(0, 0, 0);
+  std::unique_ptr<AiCoreOpTask> task1(new AiCoreOpTask());
+  OpDescPtr op_desc = CreateOpDesc("Add", "Add");
+  ge::AttrUtils::SetInt(*op_desc, ge::ATTR_NAME_UNKNOWN_SHAPE_TYPE,
+                        DEPEND_SHAPE_RANGE);
+  domi::TaskDef task_def;
+  task_def.set_type(RT_MODEL_TASK_KERNEL);
+  std::vector<uint8_t> args(10, 0);
+  task_def.mutable_kernel()->set_args(args.data(), args.size());
+  task_def.mutable_kernel()->set_args_size(10);
+  task_def.mutable_kernel()->mutable_context()->set_kernel_type(
+      ccKernelType::TE);
+  EXPECT_EQ(task1->Init(*op_desc, task_def), ge::PARAM_INVALID);
+  dlog_setlevel(0, 3, 0);
+}
+}  // namespace ge