[onert-micro] Support SpaceToBatchND float kernel (#13201)

This commit supports SpaceToBatchND float kernel.

ONE-DCO-1.0-Signed-off-by: Vyacheslav Bazhenov <slavikmipt@gmail.com>

onert-micro/onert-micro/include/pal/common/PALSpaceToBatchNDCommon.h

@@ -0,0 +1,111 @@
+/*
+ * Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
+ * Copyright 2017 The TensorFlow 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.
+ */
+
+#ifndef ONERT_MICRO_EXECUTE_PAL_SPACE_TO_BATCH_ND_COMMON_H
+#define ONERT_MICRO_EXECUTE_PAL_SPACE_TO_BATCH_ND_COMMON_H
+
+#include "OMStatus.h"
+#include "core/OMRuntimeShape.h"
+#include "PALUtils.h"
+#include "ProcessBroadcastShapes.h"
+#include <cmath>
+
+namespace onert_micro
+{
+namespace execute
+{
+namespace pal
+{
+namespace
+{
+inline core::OMRuntimeShape extendShapeSpaceToBatch(const core::OMRuntimeShape &shape)
+{
+  if (shape.dimensionsCount() == 4)
+  {
+    return shape;
+  }
+  core::OMRuntimeShape new_shape(4, 1);
+  new_shape.setDim(0, shape.dims(0));
+  new_shape.setDim(1, shape.dims(1));
+  new_shape.setDim(3, shape.dims(2));
+  return new_shape;
+}
+} // namespace
+
+template <typename T>
+inline OMStatus
+SpaceToBatchND(const int32_t pad_value, const core::OMRuntimeShape &unextended_input1_shape,
+               const T *input1_data, const core::OMRuntimeShape &unextended_input2_shape,
+               const int32_t *block_shape_data, const core::OMRuntimeShape &unextended_input3_shape,
+               const int32_t *paddings_data, const core::OMRuntimeShape &unextended_output_shape,
+               T *output_data)
+{
+  // Extends the input/output shape from 3D to 4D if needed, NHC -> NH1C.
+  const core::OMRuntimeShape input1_shape = extendShapeSpaceToBatch(unextended_input1_shape);
+  const core::OMRuntimeShape output_shape = extendShapeSpaceToBatch(unextended_output_shape);
+
+  const int depth = input1_shape.dims(3);
+  const int input_width = input1_shape.dims(2);
+  const int input_height = input1_shape.dims(1);
+  const int input_batch_size = input1_shape.dims(0);
+
+  const int output_width = output_shape.dims(2);
+  const int output_height = output_shape.dims(1);
+  const int output_batch_size = output_shape.dims(0);
+
+  const int block_shape_height = block_shape_data[0];
+  const int block_shape_width =
+    unextended_input1_shape.dimensionsCount() == 4 ? block_shape_data[1] : 1;
+  const int padding_top = paddings_data[0];
+  const int padding_left = unextended_input1_shape.dimensionsCount() == 4 ? paddings_data[2] : 0;
+
+  for (int out_b = 0; out_b < output_batch_size; ++out_b)
+  {
+    int input_batch = out_b % input_batch_size;
+    int shift_w = (out_b / input_batch_size) % block_shape_width;
+    int shift_h = (out_b / input_batch_size) / block_shape_width;
+    for (int out_h = 0; out_h < output_height; ++out_h)
+    {
+      for (int out_w = 0; out_w < output_width; ++out_w)
+      {
+        T *out = output_data + offset(output_shape.dimsData(), out_b, out_h, out_w, 0);
+        if (out_h * block_shape_height + shift_h < padding_top ||
+            out_h * block_shape_height + shift_h >= padding_top + input_height ||
+            out_w * block_shape_width + shift_w < padding_left ||
+            out_w * block_shape_width + shift_w >= padding_left + input_width)
+        {
+          // This may not execute correctly when pad_value != 0 and T != uint8.
+          memset(out, pad_value, depth * sizeof(T));
+        }
+        else
+        {
+          const T *in =
+            input1_data + offset(input1_shape.dimsData(), input_batch,
+                                 (out_h * block_shape_height + shift_h) - padding_top,
+                                 (out_w * block_shape_width + shift_w) - padding_left, 0);
+          memcpy(out, in, depth * sizeof(T));
+        }
+      }
+    }
+  }
+  return Ok;
+}
+} // namespace pal
+} // namespace execute
+} // namespace onert_micro
+
+#endif // ONERT_MICRO_EXECUTE_PAL_SPACE_TO_BATCH_ND_COMMON_H

onert-micro/onert-micro/include/pal/mcu/KernelsToBuild.lst

@@ -62,7 +62,7 @@ REGISTER_KERNEL(SQUARED_DIFFERENCE, SquaredDifference)
 #/*REGISTER_KERNEL(SLICE, Slice)*/
 REGISTER_KERNEL(SUB, Sub)
 #/*REGISTER_KERNEL(SPLIT, Split)*/
-#/*REGISTER_KERNEL(SPACE_TO_BATCH_ND, SpaceToBatchND)*/
+REGISTER_KERNEL(SPACE_TO_BATCH_ND, SpaceToBatchND)
 #/*REGISTER_KERNEL(STRIDED_SLICE, StridedSlice)*/
 #/*REGISTER_KERNEL(SPLIT_V, SplitV)*/
 REGISTER_KERNEL(SQUARE, Square)

onert-micro/onert-micro/include/pal/mcu/PALSpaceToBatchND.h

@@ -0,0 +1,31 @@
+/*
+ * Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
+ * Copyright 2017 The TensorFlow 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.
+ */
+
+#ifndef ONERT_MICRO_EXECUTE_PAL_SPACE_TO_BATCH_ND_H
+#define ONERT_MICRO_EXECUTE_PAL_SPACE_TO_BATCH_ND_H
+
+#include "PALSpaceToBatchNDCommon.h"
+namespace onert_micro
+{
+namespace execute
+{
+namespace pal
+{
+} // namespace pal
+} // namespace execute
+} // namespace onert_micro
+#endif // ONERT_MICRO_EXECUTE_PAL_SPACE_TO_BATCH_ND_H

onert-micro/onert-micro/include/test_models/space_to_batch_nd/FloatSpaceToBatchNDKernel.h

@@ -0,0 +1,96 @@
+/*
+ * 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_FLOAT_SPACE_TO_BATCH_ND_KERNEL_H
+#define ONERT_MICRO_TEST_MODELS_FLOAT_SPACE_TO_BATCH_ND_KERNEL_H
+
+#include "TestDataSpaceToBatchNDBase.h"
+
+namespace onert_micro
+{
+namespace test_model
+{
+namespace space_to_batch_nd_float
+{
+/*
+ * SpaceToBatchND Kernel:
+ *
+ *      Input(1, 2, 2, 1)
+ *            |
+ *       SpaceToBatchND
+ *            |
+ *      Output(4, 1, 1, 1)
+ */
+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,
+  0x68, 0x00, 0x00, 0x00, 0xdc, 0x01, 0x00, 0x00, 0xf8, 0x01, 0x00, 0x00, 0x05, 0x00, 0x00, 0x00,
+  0x54, 0x00, 0x00, 0x00, 0x4c, 0x00, 0x00, 0x00, 0x44, 0x00, 0x00, 0x00, 0x2c, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0xe2, 0xff, 0xff, 0xff, 0x04, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x08, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 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, 0x64, 0x00, 0x00, 0x00,
+  0x68, 0x00, 0x00, 0x00, 0x6c, 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, 0x19, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x04, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+  0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0xb0, 0x00, 0x00, 0x00, 0x74, 0x00, 0x00, 0x00, 0x34, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x6c, 0xff, 0xff, 0xff, 0x0c, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x6f, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0xd0, 0xff, 0xff, 0xff, 0x10, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02,
+  0x14, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x70, 0x61, 0x64, 0x64, 0x69, 0x6e, 0x67, 0x73,
+  0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 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, 0x14, 0x00, 0x00, 0x00,
+  0x0b, 0x00, 0x00, 0x00, 0x62, 0x6c, 0x6f, 0x63, 0x6b, 0x5f, 0x73, 0x68, 0x61, 0x70, 0x65, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x02, 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,
+  0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x69, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 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, 0x26, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x26,
+  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 = {32.4077, -66.77965, 47.65211, 75.57922};
+const std::vector<float> reference_output_data = {32.4077, -66.77965, 47.65211, 75.57922};
+
+} // namespace space_to_batch_nd_float
+
+class TestDataFloatSpaceToBatchND : public TestDataSpaceToBatchNDBase<float>
+{
+public:
+  TestDataFloatSpaceToBatchND()
+  {
+    _input_data = space_to_batch_nd_float::input_data;
+    _reference_output_data = space_to_batch_nd_float::reference_output_data;
+    _test_kernel_model_circle = space_to_batch_nd_float::test_kernel_model_circle;
+  }
+
+  ~TestDataFloatSpaceToBatchND() override = default;
+};
+
+} // namespace test_model
+} // namespace onert_micro
+
+#endif // ONERT_MICRO_TEST_MODELS_FLOAT_SPACE_TO_BATCH_ND_KERNEL_H

onert-micro/onert-micro/include/test_models/space_to_batch_nd/NegSpaceToBatchNDKernel.h

@@ -0,0 +1,97 @@
+/*
+ * 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_NEG_SPACE_TO_BATCH_ND_KERNEL_H
+#define ONERT_MICRO_TEST_MODELS_NEG_SPACE_TO_BATCH_ND_KERNEL_H
+
+#include "test_models/TestDataBase.h"
+
+namespace onert_micro
+{
+namespace test_model
+{
+namespace neg_input_output_type_mismatch_space_to_batch_nd_kernel
+{
+/*
+ * SpaceToBatchND kernel with input output type mismatch:
+ *
+ *      Input(1, 2, 2, 1) - Float32
+ *            |
+ *        SpaceToBatchND
+ *            |
+ *      Output(4, 1, 1 , 1) - Int32
+ */
+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,
+  0x68, 0x00, 0x00, 0x00, 0xe0, 0x01, 0x00, 0x00, 0xfc, 0x01, 0x00, 0x00, 0x05, 0x00, 0x00, 0x00,
+  0x54, 0x00, 0x00, 0x00, 0x4c, 0x00, 0x00, 0x00, 0x44, 0x00, 0x00, 0x00, 0x2c, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0xe2, 0xff, 0xff, 0xff, 0x04, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x08, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 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, 0x64, 0x00, 0x00, 0x00,
+  0x68, 0x00, 0x00, 0x00, 0x6c, 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, 0x19, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x04, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+  0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0xb4, 0x00, 0x00, 0x00, 0x78, 0x00, 0x00, 0x00, 0x38, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0xa0, 0xff, 0xff, 0xff, 0x10, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x02, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x6f, 0x66, 0x6d, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0xd0, 0xff, 0xff, 0xff, 0x10, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x02, 0x14, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x70, 0x61, 0x64, 0x64,
+  0x69, 0x6e, 0x67, 0x73, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x02, 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,
+  0x14, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x62, 0x6c, 0x6f, 0x63, 0x6b, 0x5f, 0x73, 0x68,
+  0x61, 0x70, 0x65, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 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, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x69, 0x66, 0x6d, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x01, 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, 0x26, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x26, 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_input_output_type_mismatch_space_to_batch_nd_kernel
+
+class NegTestDataInputOutputTypeMismatchSpaceToBatchNDKernel : public NegTestDataBase
+{
+public:
+  NegTestDataInputOutputTypeMismatchSpaceToBatchNDKernel()
+  {
+    _test_kernel_model_circle =
+      neg_input_output_type_mismatch_space_to_batch_nd_kernel::test_kernel_model_circle;
+  }
+
+  ~NegTestDataInputOutputTypeMismatchSpaceToBatchNDKernel() 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_NEG_SPACE_TO_BATCH_ND_KERNEL_H