diff --git a/onert-micro/onert-micro/include/pal/mcu/KernelsToBuild.lst b/onert-micro/onert-micro/include/pal/mcu/KernelsToBuild.lst
index 5338cfda2f8..4088018006f 100644
--- a/onert-micro/onert-micro/include/pal/mcu/KernelsToBuild.lst
+++ b/onert-micro/onert-micro/include/pal/mcu/KernelsToBuild.lst
@@ -23,7 +23,7 @@ REGISTER_KERNEL(GATHER_ND, GatherND)
 REGISTER_KERNEL(EXP, Exp)
 REGISTER_KERNEL(GREATER, Greater)
 REGISTER_KERNEL(GREATER_EQUAL, GreaterEqual)
-#/*REGISTER_KERNEL(EXPAND_DIMS, ExpandDims)*/
+REGISTER_KERNEL(EXPAND_DIMS, ExpandDims)
 #/*REGISTER_KERNEL(ELU, Elu)*/
 REGISTER_KERNEL(EQUAL, Equal)
 #/*REGISTER_KERNEL(FILL, Fill)*/
diff --git a/onert-micro/onert-micro/include/test_models/expand_dims/ExpandDimsKernel.h b/onert-micro/onert-micro/include/test_models/expand_dims/ExpandDimsKernel.h
new file mode 100644
index 00000000000..f5236519e68
--- /dev/null
+++ b/onert-micro/onert-micro/include/test_models/expand_dims/ExpandDimsKernel.h
@@ -0,0 +1,179 @@
+/*
+ * Copyright (c) 2024 Samsung Electronics Co., Ltd. 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.
+ */
+
+#ifndef ONERT_MICRO_TEST_MODELS_EXPAND_DIMS_KERNEL_H
+#define ONERT_MICRO_TEST_MODELS_EXPAND_DIMS_KERNEL_H
+
+#include "test_models/TestDataBase.h"
+
+namespace onert_micro
+{
+namespace test_model
+{
+
+namespace neg_test_expand_dims
+{
+
+/*
+ * ExpandDims Kernel:
+ *
+ *     Input(3, 3)   Const([1]) - wrong type for const
+ *          |       /
+ *       ExpandDims
+ *          |
+ *     Output(3, 1, 3)
+ */
+
+const unsigned char test_kernel_model_circle[] = {
+  0x18, 0x00, 0x00, 0x00, 0x43, 0x49, 0x52, 0x30, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x44, 0x00, 0x00, 0x00, 0x70, 0x01, 0x00, 0x00, 0x8c, 0x01, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x30, 0x00, 0x00, 0x00, 0x28, 0x00, 0x00, 0x00, 0x20, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x8c, 0xff, 0xff, 0xff, 0x90, 0xff, 0xff, 0xff,
+  0x94, 0xff, 0xff, 0xff, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00,
+  0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00,
+  0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x60, 0x00, 0x00, 0x00, 0x64, 0x00, 0x00, 0x00,
+  0x68, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
+  0x10, 0x00, 0x0c, 0x00, 0x07, 0x00, 0x08, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x34,
+  0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x04, 0x00, 0x04, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x70, 0x00, 0x00, 0x00,
+  0x3c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xa8, 0xff, 0xff, 0xff, 0x0c, 0x00, 0x00, 0x00,
+  0x02, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x6f, 0x66, 0x6d, 0x00,
+  0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0f, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x07, 0x10, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x69, 0x66, 0x6d, 0x32, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x69, 0x66, 0x6d, 0x31, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+  0x03, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x0c, 0x00,
+  0x0b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x46, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x46, 0x11, 0x00, 0x00, 0x00, 0x4f, 0x4e, 0x45, 0x2d, 0x74, 0x66, 0x6c, 0x69,
+  0x74, 0x65, 0x32, 0x63, 0x69, 0x72, 0x63, 0x6c, 0x65, 0x00, 0x00, 0x00};
+} // namespace neg_test_expand_dims
+
+namespace expand_dims_kernel
+{
+/*
+ * ExpandDims Kernel:
+ *
+ *     Input(3, 3)   Const([1])
+ *          |       /
+ *       ExpandDims
+ *          |
+ *     Output(3, 1, 3)
+ */
+const unsigned char test_kernel_model_circle[] = {
+  0x18, 0x00, 0x00, 0x00, 0x43, 0x49, 0x52, 0x30, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x44, 0x00, 0x00, 0x00, 0x70, 0x01, 0x00, 0x00, 0x8c, 0x01, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x30, 0x00, 0x00, 0x00, 0x28, 0x00, 0x00, 0x00, 0x20, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x8c, 0xff, 0xff, 0xff, 0x90, 0xff, 0xff, 0xff,
+  0x94, 0xff, 0xff, 0xff, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00,
+  0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00,
+  0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x60, 0x00, 0x00, 0x00, 0x64, 0x00, 0x00, 0x00,
+  0x68, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
+  0x10, 0x00, 0x0c, 0x00, 0x07, 0x00, 0x08, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x34,
+  0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x04, 0x00, 0x04, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x70, 0x00, 0x00, 0x00,
+  0x3c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xa8, 0xff, 0xff, 0xff, 0x0c, 0x00, 0x00, 0x00,
+  0x02, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x6f, 0x66, 0x6d, 0x00,
+  0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0f, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x10, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x69, 0x66, 0x6d, 0x32, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x69, 0x66, 0x6d, 0x31, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+  0x03, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x0c, 0x00,
+  0x0b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x46, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x46, 0x11, 0x00, 0x00, 0x00, 0x4f, 0x4e, 0x45, 0x2d, 0x74, 0x66, 0x6c, 0x69,
+  0x74, 0x65, 0x32, 0x63, 0x69, 0x72, 0x63, 0x6c, 0x65, 0x00, 0x00, 0x00};
+
+const std::vector<float> input_data = {10.438837, -1.168417,  -6.455261, -1.3638954, 31.58745,
+                                       29.395872, -10.366383, 7.6131954, 9.837751};
+
+const std::vector<float> reference_output_data = {10.438837,  -1.168417, -6.455261,
+                                                  -1.3638954, 31.58745,  29.395872,
+                                                  -10.366383, 7.6131954, 9.837751};
+
+} // namespace expand_dims_kernel
+
+template <typename T> class TestDataExpandDimsKernel : public TestDataBase<T>
+{
+public:
+  TestDataExpandDimsKernel()
+  {
+    _input_data = expand_dims_kernel::input_data;
+    _reference_output_data = expand_dims_kernel::reference_output_data;
+    _test_kernel_model_circle = expand_dims_kernel::test_kernel_model_circle;
+  }
+
+  ~TestDataExpandDimsKernel() override = default;
+
+  const unsigned char *get_model_ptr() override final { return _test_kernel_model_circle; }
+
+  const std::vector<T> &get_input_data_by_index(int i) override final
+  {
+    switch (i)
+    {
+      case 0:
+        return _input_data;
+      default:
+        assert(false && "Wrong input index");
+    }
+  }
+
+  const std::vector<T> &get_output_data_by_index(int i) override final
+  {
+    assert(i == 0);
+    return _reference_output_data;
+  }
+
+protected:
+  std::vector<T> _input_data;
+  std::vector<T> _reference_output_data;
+  const unsigned char *_test_kernel_model_circle;
+};
+
+class NegTestDataInvalidInputTypeExpandDimsKernel : public NegTestDataBase
+{
+public:
+  NegTestDataInvalidInputTypeExpandDimsKernel()
+  {
+    _test_kernel_model_circle = neg_test_expand_dims::test_kernel_model_circle;
+  }
+
+  ~NegTestDataInvalidInputTypeExpandDimsKernel() override = default;
+
+  const unsigned char *get_model_ptr() override final { return _test_kernel_model_circle; }
+
+protected:
+  const unsigned char *_test_kernel_model_circle;
+};
+
+} // namespace test_model
+} // namespace onert_micro
+
+#endif // ONERT_MICRO_TEST_MODELS_EXPAND_DIMS_KERNEL_H
diff --git a/onert-micro/onert-micro/src/execute/kernels/ExpandDims.cpp b/onert-micro/onert-micro/src/execute/kernels/ExpandDims.cpp
new file mode 100644
index 00000000000..52493c0fada
--- /dev/null
+++ b/onert-micro/onert-micro/src/execute/kernels/ExpandDims.cpp
@@ -0,0 +1,76 @@
+/*
+ * Copyright (c) 2024 Samsung Electronics Co., Ltd. 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 "OMStatus.h"
+
+#include "core/OMUtils.h"
+#include "core/OMDataType.h"
+
+#include "execute/OMKernelExecutionBuilder.h"
+#include "execute/OMRuntimeKernel.h"
+
+using namespace onert_micro;
+using namespace onert_micro::execute;
+
+namespace
+{
+
+constexpr uint32_t inputTensorIdx = 0;
+constexpr uint32_t outputTensorIdx = 0;
+
+} // namespace
+
+// NOTE: doesnt currently support dynamic shapes
+OMStatus onert_micro::execute::execute_kernel_CircleExpandDims(const OMExecuteArgs &execute_args)
+{
+  core::OMRuntimeContext &runtime_context = execute_args.runtime_context;
+  core::OMRuntimeStorage &runtime_storage = execute_args.runtime_storage;
+  uint16_t op_index = execute_args.kernel_index;
+
+  OMRuntimeKernel runtime_kernel;
+  runtime_kernel.readKernel(op_index, runtime_context);
+
+  const circle::Tensor *input = runtime_kernel.inputs[inputTensorIdx];
+  const circle::Tensor *output = runtime_kernel.outputs[outputTensorIdx];
+
+  assert(input != nullptr);
+  assert(output != nullptr);
+
+  OMStatus status = Ok;
+
+  status = runtime_kernel.getDataFromStorage(op_index, runtime_storage, runtime_context);
+  if (status != Ok)
+    return status;
+
+  uint8_t *input_data = runtime_kernel.inputs_data[inputTensorIdx];
+  uint8_t *output_data = runtime_kernel.outputs_data[outputTensorIdx];
+
+  assert(input_data != nullptr);
+  assert(output_data != nullptr);
+
+  // Check is it inplace kernel
+  if (input_data == output_data)
+    return Ok;
+
+  const core::OMRuntimeShape shape(input);
+
+  const size_t element_size =
+    static_cast<uint32_t>(getOMDataTypeSize(core::onertMicroDatatype(input->type())));
+  const int32_t num_elements = shape.flatSize();
+  std::memcpy(output_data, input_data, num_elements * element_size);
+
+  return status;
+}
diff --git a/onert-micro/onert-micro/src/execute/kernels/tests/ExpandDims.test.cpp b/onert-micro/onert-micro/src/execute/kernels/tests/ExpandDims.test.cpp
new file mode 100644
index 00000000000..918eb2d409d
--- /dev/null
+++ b/onert-micro/onert-micro/src/execute/kernels/tests/ExpandDims.test.cpp
@@ -0,0 +1,50 @@
+/*
+ * Copyright (c) 2024 Samsung Electronics Co., Ltd. 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 "execute/OMTestUtils.h"
+#include "test_models/expand_dims/ExpandDimsKernel.h"
+
+namespace onert_micro
+{
+namespace execute
+{
+namespace testing
+{
+
+using namespace testing;
+
+class ExpandDimsTest : public ::testing::Test
+{
+  // Do nothing
+};
+
+TEST_F(ExpandDimsTest, MainTest_P)
+{
+  onert_micro::test_model::TestDataExpandDimsKernel<float> test_data_kernel;
+  std::vector<float> output_data_vector =
+    onert_micro::execute::testing::checkKernel<float>(1, &test_data_kernel);
+  EXPECT_THAT(output_data_vector, test_data_kernel.get_output_data_by_index(0));
+}
+
+TEST_F(ExpandDimsTest, MainTest_NEG)
+{
+  onert_micro::test_model::NegTestDataInvalidInputTypeExpandDimsKernel test_data_kernel;
+  EXPECT_DEATH(checkNEGSISOKernel(&test_data_kernel), "");
+}
+
+} // namespace testing
+} // namespace execute
+} // namespace onert_micro
diff --git a/onert-micro/onert-micro/src/import/kernels/ExpandDims.cpp b/onert-micro/onert-micro/src/import/kernels/ExpandDims.cpp
new file mode 100644
index 00000000000..b90ef481ea2
--- /dev/null
+++ b/onert-micro/onert-micro/src/import/kernels/ExpandDims.cpp
@@ -0,0 +1,99 @@
+/*
+ * Copyright (c) 2024 Samsung Electronics Co., Ltd. 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 "OMStatus.h"
+
+#include "core/OMUtils.h"
+#include "import/OMKernelConfigureBuilder.h"
+#include "execute/OMRuntimeKernel.h"
+
+using namespace onert_micro;
+using namespace onert_micro::core;
+
+namespace
+{
+
+constexpr uint32_t inputTensorIdx = 0;
+constexpr uint32_t axisTensorIdx = 1;
+constexpr uint32_t outputTensorIdx = 0;
+
+} // namespace
+
+OMStatus onert_micro::import::configure_kernel_CircleExpandDims(const OMConfigureArgs &config_args)
+{
+  OMRuntimeContext &runtime_context = config_args.runtime_context;
+  uint16_t op_index = config_args.kernel_index;
+  OMRuntimeStorage &runtime_storage = config_args.runtime_storage;
+
+  onert_micro::execute::OMRuntimeKernel runtime_kernel;
+
+  OMStatus status = runtime_kernel.readKernel(op_index, runtime_context);
+  if (status != Ok)
+    return status;
+
+  const circle::Tensor *input = runtime_kernel.inputs[inputTensorIdx];
+  const circle::Tensor *axis = runtime_kernel.inputs[axisTensorIdx];
+  const circle::Tensor *output = runtime_kernel.outputs[outputTensorIdx];
+
+  assert(input != nullptr);
+  assert(axis != nullptr);
+  assert(output != nullptr);
+
+  status = utils::checkCondition(input->type() == output->type());
+  if (status != Ok)
+    return status;
+
+  OMRuntimeShape input_shape(input);
+
+  status = utils::checkCondition(axis->type() == circle::TensorType_INT32 or
+                                 axis->type() == circle::TensorType_INT64);
+  if (status != Ok)
+    return status;
+
+  // Check axis value
+  runtime_kernel.getDataFromStorage(op_index, runtime_storage, runtime_context);
+  uint8_t *axis_data = runtime_kernel.inputs_data[axisTensorIdx];
+  status = utils::checkCondition(axis_data != nullptr);
+  if (status != Ok)
+    return status;
+
+  if (axis->type() == circle::TensorType_INT32)
+  {
+    int32_t axis_value = *reinterpret_cast<int32_t *>(axis_data);
+    if (axis_value < 0)
+    {
+      axis_value += input_shape.dimensionsCount() + 1;
+    }
+
+    status = utils::checkCondition(axis_value <= input_shape.dimensionsCount() and axis_value >= 0);
+    if (status != Ok)
+      return status;
+  }
+  else
+  {
+    int64_t axis_value = *reinterpret_cast<int64_t *>(axis_data);
+    if (axis_value < 0)
+    {
+      axis_value += input_shape.dimensionsCount() + 1;
+    }
+
+    status = utils::checkCondition(axis_value <= input_shape.dimensionsCount() and axis_value >= 0);
+    if (status != Ok)
+      return status;
+  }
+
+  return status;
+}