message: Use int32_t instead of int32.
  Specifically, TFLM does not have these same type aliases and requires the use of
  standard integral types.
  made the corresponding change in the tflite-micro repository and this change is fixing it in the tflite code.
diff: @@ -15,6 +15,8 @@ limitations under the License.
  #ifndef TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_SPACE_TO_DEPTH_H_
  #define TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_SPACE_TO_DEPTH_H_
  +#include <cstdint>
  +
  #include "tensorflow/lite/kernels/internal/types.h"
  namespace tflite {
  @@ -43,7 +45,7 @@ inline void SpaceToDepth(const tflite::SpaceToDepthParams& op_params,
  const int output_height = output_shape.Dims(1);
  const int output_batch = output_shape.Dims(0);
  - const int32 block_size = op_params.block_size;
  + const int32_t block_size = op_params.block_size;
  TFLITE_DCHECK_EQ(input_width, output_width * block_size);
  TFLITE_DCHECK_EQ(input_height, output_height * block_size);
  