diff --git a/arm_compute/core/Validate.h b/arm_compute/core/Validate.h
index 34da339..1e2d262 100644
--- a/arm_compute/core/Validate.h
+++ b/arm_compute/core/Validate.h
@@ -64,9 +64,9 @@
 /** Functor to compare two @ref Dimensions objects and throw an error on mismatch.
  *
  * @param[in] dim      Object to compare against.
- * @param[in] function Function in which the error occured.
- * @param[in] file     File in which the error occured.
- * @param[in] line     Line in which the error occured.
+ * @param[in] function Function in which the error occurred.
+ * @param[in] file     File in which the error occurred.
+ * @param[in] line     Line in which the error occurred.
  */
 template <typename T>
 class compare_dimension
@@ -81,10 +81,11 @@
      *
      * @param[in] dim To be compared object.
      */
-    void operator()(const Dimensions<T> &dim)
+    arm_compute::Error operator()(const Dimensions<T> &dim)
     {
-        ARM_COMPUTE_ERROR_ON_LOC_MSG(have_different_dimensions(_dim, dim, 0), _function, _file, _line,
-                                     "Objects have different dimensions");
+        ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG(have_different_dimensions(_dim, dim, 0), _function, _file, _line,
+                                            "Objects have different dimensions");
+        return arm_compute::Error{};
     }
 
 private:
@@ -93,27 +94,59 @@
     const char *const    _file;
     const int            _line;
 };
+
+template <typename F>
+inline arm_compute::Error for_each_error(F &&)
+{
+    return arm_compute::Error{};
+}
+
+template <typename F, typename T, typename... Ts>
+inline arm_compute::Error for_each_error(F &&func, T &&arg, Ts &&... args)
+{
+    ARM_COMPUTE_RETURN_ON_ERROR(func(arg));
+    ARM_COMPUTE_RETURN_ON_ERROR(for_each_error(func, args...));
+    return arm_compute::Error{};
+}
+
+template <typename T>
+struct get_tensor_info_t;
+template <>
+struct get_tensor_info_t<ITensorInfo *>
+{
+    ITensorInfo *operator()(const ITensor *tensor)
+    {
+        return tensor->info();
+    }
+};
 } // namespace detail
-/** Throw an error if one of the pointers is a nullptr.
+
+/** Create an error if one of the pointers is a nullptr.
  *
  *  @param[in] function Function in which the error occurred.
  *  @param[in] file     Name of the file where the error occurred.
  *  @param[in] line     Line on which the error occurred.
  *  @param[in] pointers Pointers to check against nullptr.
+ *
+ * @return Error
  */
 template <typename... Ts>
-void error_on_nullptr(const char *function, const char *file, const int line, Ts &&... pointers)
+inline arm_compute::Error error_on_nullptr(const char *function, const char *file, const int line, Ts &&... pointers)
 {
-    auto is_nullptr = [&](const void *ptr)
+    const std::array<const void *, sizeof...(Ts)> pointers_array{ { std::forward<Ts>(pointers)... } };
+    bool has_nullptr = std::any_of(pointers_array.begin(), pointers_array.end(), [&](const void *ptr)
     {
-        ARM_COMPUTE_ERROR_ON_LOC(ptr == nullptr, function, file, line);
-    };
-
-    for_each(is_nullptr, std::forward<Ts>(pointers)...);
+        return (ptr == nullptr);
+    });
+    ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG(has_nullptr, function, file, line, "Nullptr object!");
+    return arm_compute::Error{};
 }
-#define ARM_COMPUTE_ERROR_ON_NULLPTR(...) ::arm_compute::error_on_nullptr(__func__, __FILE__, __LINE__, __VA_ARGS__)
+#define ARM_COMPUTE_ERROR_ON_NULLPTR(...) \
+    ARM_COMPUTE_ERROR_THROW(::arm_compute::error_on_nullptr(__func__, __FILE__, __LINE__, __VA_ARGS__))
+#define ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(...) \
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_nullptr(__func__, __FILE__, __LINE__, __VA_ARGS__))
 
-/** Throw an error if the passed window is invalid.
+/** Return an error if the passed window is invalid.
  *
  * The subwindow is invalid if:
  * - It is not a valid window.
@@ -125,12 +158,17 @@
  *  @param[in] line     Line on which the error occurred.
  *  @param[in] full     Full size window
  *  @param[in] win      Window to validate.
+ *
+ * @return Error
  */
-void error_on_mismatching_windows(const char *function, const char *file, const int line,
-                                  const Window &full, const Window &win);
-#define ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(f, w) ::arm_compute::error_on_mismatching_windows(__func__, __FILE__, __LINE__, f, w)
+arm_compute::Error error_on_mismatching_windows(const char *function, const char *file, const int line,
+                                                const Window &full, const Window &win);
+#define ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(f, w) \
+    ARM_COMPUTE_ERROR_THROW(::arm_compute::error_on_mismatching_windows(__func__, __FILE__, __LINE__, f, w))
+#define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_WINDOWS(f, w) \
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_mismatching_windows(__func__, __FILE__, __LINE__, f, w))
 
-/** Throw an error if the passed subwindow is invalid.
+/** Return an error if the passed subwindow is invalid.
  *
  * The subwindow is invalid if:
  * - It is not a valid window.
@@ -142,12 +180,17 @@
  *  @param[in] line     Line on which the error occurred.
  *  @param[in] full     Full size window
  *  @param[in] sub      Sub-window to validate.
+ *
+ * @return Error
  */
-void error_on_invalid_subwindow(const char *function, const char *file, const int line,
-                                const Window &full, const Window &sub);
-#define ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(f, s) ::arm_compute::error_on_invalid_subwindow(__func__, __FILE__, __LINE__, f, s)
+arm_compute::Error error_on_invalid_subwindow(const char *function, const char *file, const int line,
+                                              const Window &full, const Window &sub);
+#define ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(f, s) \
+    ARM_COMPUTE_ERROR_THROW(::arm_compute::error_on_invalid_subwindow(__func__, __FILE__, __LINE__, f, s))
+#define ARM_COMPUTE_RETURN_ERROR_ON_INVALID_SUBWINDOW(f, s) \
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_invalid_subwindow(__func__, __FILE__, __LINE__, f, s))
 
-/** Throw an error if the window can't be collapsed at the given dimension.
+/** Return an error if the window can't be collapsed at the given dimension.
  *
  * The window cannot be collapsed if the given dimension not equal to the full window's dimension or not start from 0.
  *
@@ -157,12 +200,17 @@
  *  @param[in] full     Full size window
  *  @param[in] window   Window to be collapsed.
  *  @param[in] dim      Dimension need to be checked.
+ *
+ * @return Error
  */
-void error_on_window_not_collapsable_at_dimension(const char *function, const char *file, const int line,
-                                                  const Window &full, const Window &window, const int dim);
-#define ARM_COMPUTE_ERROR_ON_WINDOW_NOT_COLLAPSABLE_AT_DIMENSION(f, w, d) ::arm_compute::error_on_window_not_collapsable_at_dimension(__func__, __FILE__, __LINE__, f, w, d)
+arm_compute::Error error_on_window_not_collapsable_at_dimension(const char *function, const char *file, const int line,
+                                                                const Window &full, const Window &window, const int dim);
+#define ARM_COMPUTE_ERROR_ON_WINDOW_NOT_COLLAPSABLE_AT_DIMENSION(f, w, d) \
+    ARM_COMPUTE_ERROR_THROW(::arm_compute::error_on_window_not_collapsable_at_dimension(__func__, __FILE__, __LINE__, f, w, d))
+#define ARM_COMPUTE_RETURN_ERROR_ON_WINDOW_NOT_COLLAPSABLE_AT_DIMENSION(f, w, d) \
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_window_not_collapsable_at_dimension(__func__, __FILE__, __LINE__, f, w, d))
 
-/** Throw an error if the passed coordinates have too many dimensions.
+/** Return an error if the passed coordinates have too many dimensions.
  *
  * The coordinates have too many dimensions if any of the dimensions greater or equal to max_dim is different from 0.
  *
@@ -171,12 +219,17 @@
  *  @param[in] line     Line on which the error occurred.
  *  @param[in] pos      Coordinates to validate
  *  @param[in] max_dim  Maximum number of dimensions allowed.
+ *
+ * @return Error
  */
-void error_on_coordinates_dimensions_gte(const char *function, const char *file, const int line,
-                                         const Coordinates &pos, unsigned int max_dim);
-#define ARM_COMPUTE_ERROR_ON_COORDINATES_DIMENSIONS_GTE(p, md) ::arm_compute::error_on_coordinates_dimensions_gte(__func__, __FILE__, __LINE__, p, md)
+arm_compute::Error error_on_coordinates_dimensions_gte(const char *function, const char *file, const int line,
+                                                       const Coordinates &pos, unsigned int max_dim);
+#define ARM_COMPUTE_ERROR_ON_COORDINATES_DIMENSIONS_GTE(p, md) \
+    ARM_COMPUTE_ERROR_THROW(::arm_compute::error_on_coordinates_dimensions_gte(__func__, __FILE__, __LINE__, p, md))
+#define ARM_COMPUTE_RETURN_ERROR_ON_COORDINATES_DIMENSIONS_GTE(p, md) \
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_coordinates_dimensions_gte(__func__, __FILE__, __LINE__, p, md))
 
-/** Throw an error if the passed window has too many dimensions.
+/** Return an error if the passed window has too many dimensions.
  *
  * The window has too many dimensions if any of the dimension greater or equal to max_dim is different from 0.
  *
@@ -185,12 +238,17 @@
  *  @param[in] line     Line on which the error occurred.
  *  @param[in] win      Window to validate
  *  @param[in] max_dim  Maximum number of dimensions allowed.
+ *
+ * @return Error
  */
-void error_on_window_dimensions_gte(const char *function, const char *file, const int line,
-                                    const Window &win, unsigned int max_dim);
-#define ARM_COMPUTE_ERROR_ON_WINDOW_DIMENSIONS_GTE(w, md) ::arm_compute::error_on_window_dimensions_gte(__func__, __FILE__, __LINE__, w, md)
+arm_compute::Error error_on_window_dimensions_gte(const char *function, const char *file, const int line,
+                                                  const Window &win, unsigned int max_dim);
+#define ARM_COMPUTE_ERROR_ON_WINDOW_DIMENSIONS_GTE(w, md) \
+    ARM_COMPUTE_ERROR_THROW(::arm_compute::error_on_window_dimensions_gte(__func__, __FILE__, __LINE__, w, md))
+#define ARM_COMPUTE_RETURN_ERROR_ON_WINDOW_DIMENSIONS_GTE(w, md) \
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_window_dimensions_gte(__func__, __FILE__, __LINE__, w, md))
 
-/** Throw an error if the passed dimension objects differ.
+/** Return an error if the passed dimension objects differ.
  *
  *  @param[in] function Function in which the error occurred.
  *  @param[in] file     Name of the file where the error occurred.
@@ -198,20 +256,39 @@
  *  @param[in] dim1     The first object to be compared.
  *  @param[in] dim2     The second object to be compared.
  *  @param[in] dims     (Optional) Further allowed objects.
+ *
+ * @return Error
  */
 template <typename T, typename... Ts>
-void error_on_mismatching_dimensions(const char *function, const char *file, int line,
-                                     const Dimensions<T> &dim1, const Dimensions<T> &dim2, Ts &&... dims)
+arm_compute::Error error_on_mismatching_dimensions(const char *function, const char *file, int line,
+                                                   const Dimensions<T> &dim1, const Dimensions<T> &dim2, Ts &&... dims)
 {
-    ARM_COMPUTE_UNUSED(function);
-    ARM_COMPUTE_UNUSED(file);
-    ARM_COMPUTE_UNUSED(line);
-
-    for_each(detail::compare_dimension<T>(dim1, function, file, line), dim2, std::forward<Ts>(dims)...);
+    ARM_COMPUTE_RETURN_ON_ERROR(detail::for_each_error(detail::compare_dimension<T>(dim1, function, file, line), dim2, std::forward<Ts>(dims)...));
+    return arm_compute::Error{};
 }
-#define ARM_COMPUTE_ERROR_ON_MISMATCHING_DIMENSIONS(...) ::arm_compute::error_on_mismatching_dimensions(__func__, __FILE__, __LINE__, __VA_ARGS__)
+#define ARM_COMPUTE_ERROR_ON_MISMATCHING_DIMENSIONS(...) \
+    ARM_COMPUTE_ERROR_THROW(::arm_compute::error_on_mismatching_dimensions(__func__, __FILE__, __LINE__, __VA_ARGS__))
+#define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(...) \
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_mismatching_dimensions(__func__, __FILE__, __LINE__, __VA_ARGS__))
 
-/** Throw an error if the passed two tensors have different shapes from the given dimension
+/** Return an error if the passed two tensor infos have different shapes from the given dimension
+ *
+ *  @param[in] function      Function in which the error occurred.
+ *  @param[in] file          Name of the file where the error occurred.
+ *  @param[in] line          Line on which the error occurred.
+ *  @param[in] tensor_info_1 The first tensor info to be compared.
+ *  @param[in] tensor_info_2 The second tensor info to be compared.
+ *  @param[in] tensor_infos  (Optional) Further allowed tensor infos.
+ *
+ * @return Error
+ */
+template <typename... Ts>
+inline arm_compute::Error error_on_mismatching_shapes(const char *function, const char *file, const int line,
+                                                      const ITensorInfo *tensor_info_1, const ITensorInfo *tensor_info_2, Ts... tensor_infos)
+{
+    return error_on_mismatching_shapes(function, file, line, 0U, tensor_info_1, tensor_info_2, std::forward<Ts>(tensor_infos)...);
+}
+/** Return an error if the passed two tensors have different shapes from the given dimension
  *
  *  @param[in] function Function in which the error occurred.
  *  @param[in] file     Name of the file where the error occurred.
@@ -219,15 +296,44 @@
  *  @param[in] tensor_1 The first tensor to be compared.
  *  @param[in] tensor_2 The second tensor to be compared.
  *  @param[in] tensors  (Optional) Further allowed tensors.
+ *
+ * @return Error
  */
 template <typename... Ts>
-void error_on_mismatching_shapes(const char *function, const char *file, const int line,
-                                 const ITensor *tensor_1, const ITensor *tensor_2, Ts... tensors)
+inline arm_compute::Error error_on_mismatching_shapes(const char *function, const char *file, const int line,
+                                                      const ITensor *tensor_1, const ITensor *tensor_2, Ts... tensors)
 {
-    error_on_mismatching_shapes(function, file, line, 0U, tensor_1, tensor_2, std::forward<Ts>(tensors)...);
+    return error_on_mismatching_shapes(function, file, line, 0U, tensor_1, tensor_2, std::forward<Ts>(tensors)...);
 }
+/** Return an error if the passed two tensors have different shapes from the given dimension
+ *
+ *  @param[in] function      Function in which the error occurred.
+ *  @param[in] file          Name of the file where the error occurred.
+ *  @param[in] line          Line on which the error occurred.
+ *  @param[in] upper_dim     The dimension from which to check.
+ *  @param[in] tensor_info_1 The first tensor info to be compared.
+ *  @param[in] tensor_info_2 The second tensor info to be compared.
+ *  @param[in] tensor_infos  (Optional) Further allowed tensor infos.
+ *
+ * @return Error
+ */
+template <typename... Ts>
+inline arm_compute::Error error_on_mismatching_shapes(const char *function, const char *file, const int line,
+                                                      unsigned int upper_dim, const ITensorInfo *tensor_info_1, const ITensorInfo *tensor_info_2, Ts... tensor_infos)
+{
+    ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor_info_1 == nullptr, function, file, line);
+    ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor_info_2 == nullptr, function, file, line);
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_nullptr(function, file, line, std::forward<Ts>(tensor_infos)...));
 
-/** Throw an error if the passed two tensors have different shapes from the given dimension
+    const std::array < const ITensorInfo *, 2 + sizeof...(Ts) > tensors_info_array{ { tensor_info_1, tensor_info_2, std::forward<Ts>(tensor_infos)... } };
+    ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG(std::any_of(std::next(tensors_info_array.cbegin()), tensors_info_array.cend(), [&](const ITensorInfo * tensor_info)
+    {
+        return detail::have_different_dimensions((*tensors_info_array.cbegin())->tensor_shape(), tensor_info->tensor_shape(), upper_dim);
+    }),
+    function, file, line, "Tensors have different shapes");
+    return arm_compute::Error{};
+}
+/** Return an error if the passed two tensors have different shapes from the given dimension
  *
  *  @param[in] function  Function in which the error occurred.
  *  @param[in] file      Name of the file where the error occurred.
@@ -236,65 +342,116 @@
  *  @param[in] tensor_1  The first tensor to be compared.
  *  @param[in] tensor_2  The second tensor to be compared.
  *  @param[in] tensors   (Optional) Further allowed tensors.
+ *
+ * @return Error
  */
 template <typename... Ts>
-void error_on_mismatching_shapes(const char *function, const char *file, const int line,
-                                 unsigned int upper_dim, const ITensor *tensor_1, const ITensor *tensor_2, Ts... tensors)
+inline arm_compute::Error error_on_mismatching_shapes(const char *function, const char *file, const int line,
+                                                      unsigned int upper_dim, const ITensor *tensor_1, const ITensor *tensor_2, Ts... tensors)
 {
-    ARM_COMPUTE_UNUSED(function);
-    ARM_COMPUTE_UNUSED(file);
-    ARM_COMPUTE_UNUSED(line);
-
-    const std::array < const ITensor *, 2 + sizeof...(Ts) > tensors_array{ { tensor_1, tensor_2, std::forward<Ts>(tensors)... } };
-    ARM_COMPUTE_UNUSED(tensors_array);
-
-    ARM_COMPUTE_ERROR_ON_LOC(tensors_array.cbegin() == nullptr, function, file, line);
-
-    ARM_COMPUTE_ERROR_ON_LOC_MSG(std::any_of(std::next(tensors_array.cbegin()), tensors_array.cend(), [&](const ITensor * tensor)
-    {
-        ARM_COMPUTE_ERROR_ON_LOC(tensor == nullptr, function, file, line);
-        return detail::have_different_dimensions((*tensors_array.cbegin())->info()->tensor_shape(), tensor->info()->tensor_shape(), upper_dim);
-    }),
-    function, file, line, "Tensors have different shapes");
+    ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor_1 == nullptr, function, file, line);
+    ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor_2 == nullptr, function, file, line);
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_nullptr(function, file, line, std::forward<Ts>(tensors)...));
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_mismatching_shapes(function, file, line, upper_dim, tensor_1->info(), tensor_2->info(),
+                                                                           detail::get_tensor_info_t<ITensorInfo *>()(tensors)...));
+    return arm_compute::Error{};
 }
-#define ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(...) ::arm_compute::error_on_mismatching_shapes(__func__, __FILE__, __LINE__, __VA_ARGS__)
+#define ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(...) \
+    ARM_COMPUTE_ERROR_THROW(::arm_compute::error_on_mismatching_shapes(__func__, __FILE__, __LINE__, __VA_ARGS__))
+#define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(...) \
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_mismatching_shapes(__func__, __FILE__, __LINE__, __VA_ARGS__))
 
-/** Throw an error if the passed two tensors have different data types
+/** Return an error if the passed two tensor infos have different data types
+ *
+ *  @param[in] function     Function in which the error occurred.
+ *  @param[in] file         Name of the file where the error occurred.
+ *  @param[in] line         Line on which the error occurred.
+ *  @param[in] tensor_info  The first tensor info to be compared.
+ *  @param[in] tensor_infos (Optional) Further allowed tensor infos.
+ *
+ * @return Error
+ */
+template <typename... Ts>
+inline arm_compute::Error error_on_mismatching_data_types(const char *function, const char *file, const int line,
+                                                          const ITensorInfo *tensor_info, Ts... tensor_infos)
+{
+    ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor_info == nullptr, function, file, line);
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_nullptr(function, file, line, std::forward<Ts>(tensor_infos)...));
+
+    DataType &&tensor_data_type = tensor_info->data_type();
+    const std::array<const ITensorInfo *, sizeof...(Ts)> tensors_infos_array{ { std::forward<Ts>(tensor_infos)... } };
+    ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG(std::any_of(tensors_infos_array.begin(), tensors_infos_array.end(), [&](const ITensorInfo * tensor_info_obj)
+    {
+        return tensor_info_obj->data_type() != tensor_data_type;
+    }),
+    function, file, line, "Tensors have different data types");
+    return arm_compute::Error{};
+}
+/** Return an error if the passed two tensors have different data types
  *
  *  @param[in] function Function in which the error occurred.
  *  @param[in] file     Name of the file where the error occurred.
  *  @param[in] line     Line on which the error occurred.
  *  @param[in] tensor   The first tensor to be compared.
  *  @param[in] tensors  (Optional) Further allowed tensors.
+ *
+ * @return Error
  */
 template <typename... Ts>
-void error_on_mismatching_data_types(const char *function, const char *file, const int line,
-                                     const ITensor *tensor, Ts... tensors)
+inline arm_compute::Error error_on_mismatching_data_types(const char *function, const char *file, const int line,
+                                                          const ITensor *tensor, Ts... tensors)
 {
-    ARM_COMPUTE_UNUSED(function);
-    ARM_COMPUTE_UNUSED(file);
-    ARM_COMPUTE_UNUSED(line);
-    ARM_COMPUTE_UNUSED(tensor);
-
-    ARM_COMPUTE_ERROR_ON_LOC(tensor == nullptr, function, file, line);
-
-    DataType &&tensor_data_type = tensor->info()->data_type();
-    ARM_COMPUTE_UNUSED(tensor_data_type);
-
-    const std::array<const ITensor *, sizeof...(Ts)> tensors_array{ { std::forward<Ts>(tensors)... } };
-    ARM_COMPUTE_UNUSED(tensors_array);
-
-    ARM_COMPUTE_ERROR_ON_LOC_MSG(std::any_of(tensors_array.begin(), tensors_array.end(), [&](const ITensor * tensor_obj)
-    {
-        ARM_COMPUTE_ERROR_ON_LOC(tensor_obj == nullptr, function, file, line);
-        return tensor_obj->info()->data_type() != tensor_data_type;
-    }),
-    function, file, line, "Tensors have different data types");
+    ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor == nullptr, function, file, line);
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_nullptr(function, file, line, std::forward<Ts>(tensors)...));
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_mismatching_data_types(function, file, line, tensor->info(),
+                                                                               detail::get_tensor_info_t<ITensorInfo *>()(tensors)...));
+    return arm_compute::Error{};
 }
+#define ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(...) \
+    ARM_COMPUTE_ERROR_THROW(::arm_compute::error_on_mismatching_data_types(__func__, __FILE__, __LINE__, __VA_ARGS__))
+#define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(...) \
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_mismatching_data_types(__func__, __FILE__, __LINE__, __VA_ARGS__))
 
-#define ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(...) ::arm_compute::error_on_mismatching_data_types(__func__, __FILE__, __LINE__, __VA_ARGS__)
+/** Return an error if the passed tensor infos have different fixed point data types or different fixed point positions
+ *
+ * @note: If the first tensor doesn't have fixed point data type, the function returns without throwing an error
+ *
+ *  @param[in] function      Function in which the error occurred.
+ *  @param[in] file          Name of the file where the error occurred.
+ *  @param[in] line          Line on which the error occurred.
+ *  @param[in] tensor_info_1 The first tensor info to be compared.
+ *  @param[in] tensor_info_2 The second tensor info to be compared.
+ *  @param[in] tensor_infos  (Optional) Further allowed tensor infos.
+ *
+ * @return Error
+ */
+template <typename... Ts>
+inline arm_compute::Error error_on_mismatching_fixed_point(const char *function, const char *file, const int line,
+                                                           const ITensorInfo *tensor_info_1, const ITensorInfo *tensor_info_2, Ts... tensor_infos)
+{
+    DataType &&first_data_type            = tensor_info_1->data_type();
+    const int  first_fixed_point_position = tensor_info_1->fixed_point_position();
 
-/** Throw an error if the passed tensors have different fixed point data types or different fixed point positions
+    if((first_data_type != DataType::QS8) && (first_data_type != DataType::QS16))
+    {
+        return arm_compute::Error{};
+    }
+
+    const std::array < const ITensorInfo *, 1 + sizeof...(Ts) > tensor_infos_array{ { tensor_info_2, std::forward<Ts>(tensor_infos)... } };
+    ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG(std::any_of(tensor_infos_array.begin(), tensor_infos_array.end(), [&](const ITensorInfo * tensor_info)
+    {
+        return tensor_info->data_type() != first_data_type;
+    }),
+    function, file, line, "Tensors have different fixed point data types");
+    ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG(std::any_of(tensor_infos_array.begin(), tensor_infos_array.end(), [&](const ITensorInfo * tensor_info)
+    {
+        return tensor_info->fixed_point_position() != first_fixed_point_position;
+    }),
+    function, file, line, "Tensors have different fixed point positions");
+
+    return arm_compute::Error{};
+}
+/** Return an error if the passed tensor have different fixed point data types or different fixed point positions
  *
  * @note: If the first tensor doesn't have fixed point data type, the function returns without throwing an error
  *
@@ -304,44 +461,21 @@
  *  @param[in] tensor_1 The first tensor to be compared.
  *  @param[in] tensor_2 The second tensor to be compared.
  *  @param[in] tensors  (Optional) Further allowed tensors.
+ *
+ * @return Error
  */
 template <typename... Ts>
-void error_on_mismatching_fixed_point(const char *function, const char *file, const int line,
-                                      const ITensor *tensor_1, const ITensor *tensor_2, Ts... tensors)
+inline arm_compute::Error error_on_mismatching_fixed_point(const char *function, const char *file, const int line,
+                                                           const ITensor *tensor_1, const ITensor *tensor_2, Ts... tensors)
 {
-    ARM_COMPUTE_UNUSED(function);
-    ARM_COMPUTE_UNUSED(file);
-    ARM_COMPUTE_UNUSED(line);
-    ARM_COMPUTE_UNUSED(tensor_1);
-    ARM_COMPUTE_UNUSED(tensor_2);
-
-    DataType &&first_data_type            = tensor_1->info()->data_type();
-    const int  first_fixed_point_position = tensor_1->info()->fixed_point_position();
-    ARM_COMPUTE_UNUSED(first_data_type);
-    ARM_COMPUTE_UNUSED(first_fixed_point_position);
-
-    if((first_data_type != DataType::QS8) && (first_data_type != DataType::QS16))
-    {
-        return;
-    }
-
-    const std::array < const ITensor *, 1 + sizeof...(Ts) > tensors_array{ { tensor_2, std::forward<Ts>(tensors)... } };
-    ARM_COMPUTE_UNUSED(tensors_array);
-
-    ARM_COMPUTE_ERROR_ON_LOC_MSG(std::any_of(tensors_array.begin(), tensors_array.end(), [&](const ITensor * tensor)
-    {
-        return tensor->info()->data_type() != first_data_type;
-    }),
-    function, file, line, "Tensors have different fixed point data types");
-
-    ARM_COMPUTE_ERROR_ON_LOC_MSG(std::any_of(tensors_array.begin(), tensors_array.end(), [&](const ITensor * tensor)
-    {
-        return tensor->info()->fixed_point_position() != first_fixed_point_position;
-    }),
-    function, file, line, "Tensors have different fixed point positions");
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_mismatching_fixed_point(function, file, line, tensor_1->info(), tensor_2->info(),
+                                                                                detail::get_tensor_info_t<ITensorInfo *>()(tensors)...));
+    return arm_compute::Error{};
 }
-
-#define ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(...) ::arm_compute::error_on_mismatching_fixed_point(__func__, __FILE__, __LINE__, __VA_ARGS__)
+#define ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(...) \
+    ARM_COMPUTE_ERROR_THROW(::arm_compute::error_on_mismatching_fixed_point(__func__, __FILE__, __LINE__, __VA_ARGS__))
+#define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(...) \
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_mismatching_fixed_point(__func__, __FILE__, __LINE__, __VA_ARGS__))
 
 /** Throw an error if the format of the passed tensor/multi-image does not match any of the formats provided.
  *
@@ -374,7 +508,35 @@
 }
 #define ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(t, ...) ::arm_compute::error_on_format_not_in(__func__, __FILE__, __LINE__, t, __VA_ARGS__)
 
-/** Throw an error if the data type of the passed tensor does not match any of the data types provided.
+/** Return an error if the data type of the passed tensor info does not match any of the data types provided.
+ *
+ *  @param[in] function    Function in which the error occurred.
+ *  @param[in] file        Name of the file where the error occurred.
+ *  @param[in] line        Line on which the error occurred.
+ *  @param[in] tensor_info Tensor info to validate.
+ *  @param[in] dt          First data type allowed.
+ *  @param[in] dts         (Optional) Further allowed data types.
+ *
+ * @return Error
+ */
+template <typename T, typename... Ts>
+inline arm_compute::Error error_on_data_type_not_in(const char *function, const char *file, const int line,
+                                                    const ITensorInfo *tensor_info, T &&dt, Ts &&... dts)
+{
+    ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor_info == nullptr, function, file, line);
+
+    const DataType &tensor_dt = tensor_info->data_type(); //NOLINT
+    ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor_dt == DataType::UNKNOWN, function, file, line);
+
+    const std::array<T, sizeof...(Ts)> dts_array{ { std::forward<Ts>(dts)... } };
+    ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG(tensor_dt != dt && std::none_of(dts_array.begin(), dts_array.end(), [&](const T & d)
+    {
+        return d == tensor_dt;
+    }),
+    function, file, line, "ITensor data type %s not supported by this kernel", string_from_data_type(tensor_dt).c_str());
+    return arm_compute::Error{};
+}
+/** Return an error if the data type of the passed tensor does not match any of the data types provided.
  *
  *  @param[in] function Function in which the error occurred.
  *  @param[in] file     Name of the file where the error occurred.
@@ -382,30 +544,44 @@
  *  @param[in] tensor   Tensor to validate.
  *  @param[in] dt       First data type allowed.
  *  @param[in] dts      (Optional) Further allowed data types.
+ *
+ * @return Error
  */
 template <typename T, typename... Ts>
-void error_on_data_type_not_in(const char *function, const char *file, const int line,
-                               const ITensor *tensor, T &&dt, Ts &&... dts)
+inline arm_compute::Error error_on_data_type_not_in(const char *function, const char *file, const int line,
+                                                    const ITensor *tensor, T &&dt, Ts &&... dts)
 {
-    ARM_COMPUTE_ERROR_ON_LOC(tensor == nullptr, function, file, line);
-
-    const DataType &tensor_dt = tensor->info()->data_type(); //NOLINT
-    ARM_COMPUTE_UNUSED(tensor_dt);
-
-    ARM_COMPUTE_ERROR_ON_LOC(tensor_dt == DataType::UNKNOWN, function, file, line);
-
-    const std::array<T, sizeof...(Ts)> dts_array{ { std::forward<Ts>(dts)... } };
-    ARM_COMPUTE_UNUSED(dts_array);
-
-    ARM_COMPUTE_ERROR_ON_LOC_MSG(tensor_dt != dt && std::none_of(dts_array.begin(), dts_array.end(), [&](const T & d)
-    {
-        return d == tensor_dt;
-    }),
-    function, file, line, "ITensor data type %s not supported by this kernel", string_from_data_type(tensor_dt).c_str());
+    ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor == nullptr, function, file, line);
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_data_type_not_in(function, file, line, tensor->info(), std::forward<T>(dt), std::forward<Ts>(dts)...));
+    return arm_compute::Error{};
 }
-#define ARM_COMPUTE_ERROR_ON_DATA_TYPE_NOT_IN(t, ...) ::arm_compute::error_on_data_type_not_in(__func__, __FILE__, __LINE__, t, __VA_ARGS__)
+#define ARM_COMPUTE_ERROR_ON_DATA_TYPE_NOT_IN(t, ...) \
+    ARM_COMPUTE_ERROR_THROW(::arm_compute::error_on_data_type_not_in(__func__, __FILE__, __LINE__, t, __VA_ARGS__))
+#define ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN(t, ...) \
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_data_type_not_in(__func__, __FILE__, __LINE__, t, __VA_ARGS__))
 
-/** Throw an error if the data type or the number of channels of the passed tensor does not match any of the data types and number of channels provided.
+/** Return an error if the data type or the number of channels of the passed tensor info does not match any of the data types and number of channels provided.
+ *
+ *  @param[in] function     Function in which the error occurred.
+ *  @param[in] file         Name of the file where the error occurred.
+ *  @param[in] line         Line on which the error occurred.
+ *  @param[in] tensor_info  Tensor info to validate.
+ *  @param[in] num_channels Number of channels to check
+ *  @param[in] dt           First data type allowed.
+ *  @param[in] dts          (Optional) Further allowed data types.
+ *
+ * @return Error
+ */
+template <typename T, typename... Ts>
+inline arm_compute::Error error_on_data_type_channel_not_in(const char *function, const char *file, const int line,
+                                                            const ITensorInfo *tensor_info, size_t num_channels, T &&dt, Ts &&... dts)
+{
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_data_type_not_in(function, file, line, tensor_info, std::forward<T>(dt), std::forward<Ts>(dts)...));
+    const size_t tensor_nc = tensor_info->num_channels();
+    ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG(tensor_nc != num_channels, function, file, line, "Number of channels %d. Required number of channels %d", tensor_nc, num_channels);
+    return arm_compute::Error{};
+}
+/** Return an error if the data type or the number of channels of the passed tensor does not match any of the data types and number of channels provided.
  *
  *  @param[in] function     Function in which the error occurred.
  *  @param[in] file         Name of the file where the error occurred.
@@ -414,32 +590,39 @@
  *  @param[in] num_channels Number of channels to check
  *  @param[in] dt           First data type allowed.
  *  @param[in] dts          (Optional) Further allowed data types.
+ *
+ * @return Error
  */
 template <typename T, typename... Ts>
-void error_on_data_type_channel_not_in(const char *function, const char *file, const int line,
-                                       const ITensor *tensor, size_t num_channels, T &&dt, Ts &&... dts)
+inline arm_compute::Error error_on_data_type_channel_not_in(const char *function, const char *file, const int line,
+                                                            const ITensor *tensor, size_t num_channels, T &&dt, Ts &&... dts)
 {
-    error_on_data_type_not_in(function, file, line, tensor, std::forward<T>(dt), std::forward<Ts>(dts)...);
-
-    const size_t tensor_nc = tensor->info()->num_channels();
-    ARM_COMPUTE_UNUSED(tensor_nc);
-
-    ARM_COMPUTE_ERROR_ON_LOC_MSG(tensor_nc != num_channels, function, file, line, "Number of channels %d. Required number of channels %d", tensor_nc, num_channels);
+    ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor == nullptr, function, file, line);
+    ARM_COMPUTE_RETURN_ON_ERROR(error_on_data_type_channel_not_in(function, file, line, tensor->info(), num_channels, std::forward<T>(dt), std::forward<Ts>(dts)...));
+    return arm_compute::Error{};
 }
-#define ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(t, c, ...) ::arm_compute::error_on_data_type_channel_not_in(__func__, __FILE__, __LINE__, t, c, __VA_ARGS__)
+#define ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(t, c, ...) \
+    ARM_COMPUTE_ERROR_THROW(::arm_compute::error_on_data_type_channel_not_in(__func__, __FILE__, __LINE__, t, c, __VA_ARGS__))
+#define ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(t, c, ...) \
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_data_type_channel_not_in(__func__, __FILE__, __LINE__, t, c, __VA_ARGS__))
 
-/** Throw an error if the tensor is not 2D.
+/** Return an error if the tensor is not 2D.
  *
  *  @param[in] function Function in which the error occurred.
  *  @param[in] file     Name of the file where the error occurred.
  *  @param[in] line     Line on which the error occurred.
  *  @param[in] tensor   Tensor to validate.
+ *
+ * @return Error
  */
-void error_on_tensor_not_2d(const char *function, const char *file, const int line,
-                            const ITensor *tensor);
-#define ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(t) ::arm_compute::error_on_tensor_not_2d(__func__, __FILE__, __LINE__, t)
+arm_compute::Error error_on_tensor_not_2d(const char *function, const char *file, const int line,
+                                          const ITensor *tensor);
+#define ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(t) \
+    ARM_COMPUTE_ERROR_THROW(::arm_compute::error_on_tensor_not_2d(__func__, __FILE__, __LINE__, t))
+#define ARM_COMPUTE_RETURN_ERROR_ON_TENSOR_NOT_2D(t) \
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_tensor_not_2d(__func__, __FILE__, __LINE__, t))
 
-/** Throw an error if the channel is not in channels.
+/** Return an error if the channel is not in channels.
  *
  *  @param[in] function Function in which the error occurred.
  *  @param[in] file     Name of the file where the error occurred.
@@ -447,36 +630,46 @@
  *  @param[in] cn       Input channel
  *  @param[in] channel  First channel allowed.
  *  @param[in] channels (Optional) Further allowed channels.
+ *
+ * @return Error
  */
 template <typename T, typename... Ts>
-void error_on_channel_not_in(const char *function, const char *file, const int line,
-                             T cn, T &&channel, Ts &&... channels)
+inline arm_compute::Error error_on_channel_not_in(const char *function, const char *file, const int line,
+                                                  T cn, T &&channel, Ts &&... channels)
 {
-    ARM_COMPUTE_ERROR_ON_LOC(cn == Channel::UNKNOWN, function, file, line);
+    ARM_COMPUTE_RETURN_ERROR_ON_LOC(cn == Channel::UNKNOWN, function, file, line);
 
     const std::array<T, sizeof...(Ts)> channels_array{ { std::forward<Ts>(channels)... } };
-    ARM_COMPUTE_UNUSED(channels_array);
-    ARM_COMPUTE_ERROR_ON_LOC(channel != cn && std::none_of(channels_array.begin(), channels_array.end(), [&](const T & f)
+    ARM_COMPUTE_RETURN_ERROR_ON_LOC(channel != cn && std::none_of(channels_array.begin(), channels_array.end(), [&](const T & f)
     {
         return f == cn;
     }),
     function, file, line);
+    return arm_compute::Error{};
 }
-#define ARM_COMPUTE_ERROR_ON_CHANNEL_NOT_IN(c, ...) ::arm_compute::error_on_channel_not_in(__func__, __FILE__, __LINE__, c, __VA_ARGS__)
+#define ARM_COMPUTE_ERROR_ON_CHANNEL_NOT_IN(c, ...) \
+    ARM_COMPUTE_ERROR_THROW(::arm_compute::error_on_channel_not_in(__func__, __FILE__, __LINE__, c, __VA_ARGS__))
+#define ARM_COMPUTE_RETURN_ERROR_ON_CHANNEL_NOT_IN(c, ...) \
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_channel_not_in(__func__, __FILE__, __LINE__, c, __VA_ARGS__))
 
-/** Throw an error if the channel is not in format.
+/** Return an error if the channel is not in format.
  *
  *  @param[in] function Function in which the error occurred.
  *  @param[in] file     Name of the file where the error occurred.
  *  @param[in] line     Line on which the error occurred.
  *  @param[in] fmt      Input channel
  *  @param[in] cn       First channel allowed.
+ *
+ * @return Error
  */
-void error_on_channel_not_in_known_format(const char *function, const char *file, const int line,
-                                          Format fmt, Channel cn);
-#define ARM_COMPUTE_ERROR_ON_CHANNEL_NOT_IN_KNOWN_FORMAT(f, c) ::arm_compute::error_on_channel_not_in_known_format(__func__, __FILE__, __LINE__, f, c)
+arm_compute::Error error_on_channel_not_in_known_format(const char *function, const char *file, const int line,
+                                                        Format fmt, Channel cn);
+#define ARM_COMPUTE_ERROR_ON_CHANNEL_NOT_IN_KNOWN_FORMAT(f, c) \
+    ARM_COMPUTE_ERROR_THROW(::arm_compute::error_on_channel_not_in_known_format(__func__, __FILE__, __LINE__, f, c))
+#define ARM_COMPUTE_RETURN_ERROR_ON_CHANNEL_NOT_IN_KNOWN_FORMAT(f, c) \
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_channel_not_in_known_format(__func__, __FILE__, __LINE__, f, c))
 
-/** Throw an error if the @ref IMultiHOG container is invalid
+/** Return an error if the @ref IMultiHOG container is invalid
  *
  * An @ref IMultiHOG container is invalid if:
  *
@@ -488,23 +681,31 @@
  *  @param[in] file      Name of the file where the error occurred.
  *  @param[in] line      Line on which the error occurred.
  *  @param[in] multi_hog IMultiHOG container to validate
+ *
+ * @return Error
  */
-void error_on_invalid_multi_hog(const char *function, const char *file, const int line,
-                                const IMultiHOG *multi_hog);
-#define ARM_COMPUTE_ERROR_ON_INVALID_MULTI_HOG(m) ::arm_compute::error_on_invalid_multi_hog(__func__, __FILE__, __LINE__, m)
+arm_compute::Error error_on_invalid_multi_hog(const char *function, const char *file, const int line,
+                                              const IMultiHOG *multi_hog);
+#define ARM_COMPUTE_ERROR_ON_INVALID_MULTI_HOG(m) \
+    ARM_COMPUTE_ERROR_THROW(::arm_compute::error_on_invalid_multi_hog(__func__, __FILE__, __LINE__, m))
+#define ARM_COMPUTE_RETURN_ERROR_ON_INVALID_MULTI_HOG(m) \
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_invalid_multi_hog(__func__, __FILE__, __LINE__, m))
 
-/** Throw an error if the kernel is not configured.
+/** Return an error if the kernel is not configured.
  *
  *  @param[in] function Function in which the error occurred.
  *  @param[in] file     Name of the file where the error occurred.
  *  @param[in] line     Line on which the error occurred.
  *  @param[in] kernel   Kernel to validate.
  */
-void error_on_unconfigured_kernel(const char *function, const char *file, const int line,
-                                  const IKernel *kernel);
-#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k) ::arm_compute::error_on_unconfigured_kernel(__func__, __FILE__, __LINE__, k)
+arm_compute::Error error_on_unconfigured_kernel(const char *function, const char *file, const int line,
+                                                const IKernel *kernel);
+#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k) \
+    ARM_COMPUTE_ERROR_THROW(::arm_compute::error_on_unconfigured_kernel(__func__, __FILE__, __LINE__, k))
+#define ARM_COMPUTE_RETURN_ERROR_ON_UNCONFIGURED_KERNEL(k) \
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_unconfigured_kernel(__func__, __FILE__, __LINE__, k))
 
-/** Throw an error if if the coordinates and shape of the subtensor are within the parent tensor.
+/** Return an error if if the coordinates and shape of the subtensor are within the parent tensor.
  *
  * @param[in] function     Function in which the error occurred.
  * @param[in] file         Name of the file where the error occurred.
@@ -512,24 +713,57 @@
  * @param[in] parent_shape Parent tensor shape
  * @param[in] coords       Coordinates inside the parent tensor where the first element of the subtensor is
  * @param[in] shape        Shape of the subtensor
+ *
+ * @return Error
  */
-void error_on_invalid_subtensor(const char *function, const char *file, const int line,
-                                const TensorShape &parent_shape, const Coordinates &coords, const TensorShape &shape);
-#define ARM_COMPUTE_ERROR_ON_INVALID_SUBTENSOR(p, c, s) ::arm_compute::error_on_invalid_subtensor(__func__, __FILE__, __LINE__, p, c, s)
+arm_compute::Error error_on_invalid_subtensor(const char *function, const char *file, const int line,
+                                              const TensorShape &parent_shape, const Coordinates &coords, const TensorShape &shape);
+#define ARM_COMPUTE_ERROR_ON_INVALID_SUBTENSOR(p, c, s) \
+    ARM_COMPUTE_ERROR_THROW(::arm_compute::error_on_invalid_subtensor(__func__, __FILE__, __LINE__, p, c, s))
+#define ARM_COMPUTE_RETURN_ERROR_ON_INVALID_SUBTENSOR(p, c, s) \
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_invalid_subtensor(__func__, __FILE__, __LINE__, p, c, s))
 
-/** Throw an error if the valid region of a subtensor is not inside the valid region of the parent tensor.
+/** Return an error if the valid region of a subtensor is not inside the valid region of the parent tensor.
  *
  * @param[in] function            Function in which the error occurred.
  * @param[in] file                Name of the file where the error occurred.
  * @param[in] line                Line on which the error occurred.
  * @param[in] parent_valid_region Parent valid region.
  * @param[in] valid_region        Valid region of subtensor.
+ *
+ * @return Error
  */
-void error_on_invalid_subtensor_valid_region(const char *function, const char *file, const int line,
-                                             const ValidRegion &parent_valid_region, const ValidRegion &valid_region);
-#define ARM_COMPUTE_ERROR_ON_INVALID_SUBTENSOR_VALID_REGION(pv, sv) ::arm_compute::error_on_invalid_subtensor_valid_region(__func__, __FILE__, __LINE__, pv, sv)
+arm_compute::Error error_on_invalid_subtensor_valid_region(const char *function, const char *file, const int line,
+                                                           const ValidRegion &parent_valid_region, const ValidRegion &valid_region);
+#define ARM_COMPUTE_ERROR_ON_INVALID_SUBTENSOR_VALID_REGION(pv, sv) \
+    ARM_COMPUTE_ERROR_THROW(::arm_compute::error_on_invalid_subtensor_valid_region(__func__, __FILE__, __LINE__, pv, sv))
+#define ARM_COMPUTE_RETURN_ERROR_ON_INVALID_SUBTENSOR_VALID_REGION(pv, sv) \
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_invalid_subtensor_valid_region(__func__, __FILE__, __LINE__, pv, sv))
 
-/** Throw an error if the input fixed-point positions are different.
+/** Return an error if the input fixed-point positions are different.
+ *
+ *  @param[in] function      Function in which the error occurred.
+ *  @param[in] file          Name of the file where the error occurred.
+ *  @param[in] line          Line on which the error occurred.
+ *  @param[in] tensor_info_1 The first tensor info to be compared.
+ *  @param[in] tensor_info_2 The second tensor info to be compared.
+ *  @param[in] tensor_infos  (Optional) Further allowed tensor infos.
+ *
+ * @return Error
+ */
+template <typename... Ts>
+inline arm_compute::Error error_on_mismatching_fixed_point_position(const char *function, const char *file, const int line,
+                                                                    const ITensorInfo *tensor_info_1, const ITensorInfo *tensor_info_2, Ts... tensor_infos)
+{
+    const std::array < const ITensorInfo *, 1 + sizeof...(Ts) > tensor_info_array{ { tensor_info_2, std::forward<Ts>(tensor_infos)... } };
+    ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG(std::any_of(tensor_info_array.begin(), tensor_info_array.end(), [&](const ITensorInfo * tensor_info)
+    {
+        return tensor_info->fixed_point_position() != tensor_info_1->fixed_point_position();
+    }),
+    function, file, line, "Tensors have different fixed-point positions");
+    return arm_compute::Error{};
+}
+/** Return an error if the input fixed-point positions are different.
  *
  *  @param[in] function Function in which the error occurred.
  *  @param[in] file     Name of the file where the error occurred.
@@ -537,43 +771,64 @@
  *  @param[in] tensor_1 The first tensor to be compared.
  *  @param[in] tensor_2 The second tensor to be compared.
  *  @param[in] tensors  (Optional) Further allowed tensors.
+ *
+ * @return Error
  */
 template <typename... Ts>
-void error_on_mismatching_fixed_point_position(const char *function, const char *file, const int line,
-                                               const ITensor *tensor_1, const ITensor *tensor_2, Ts... tensors)
+inline arm_compute::Error error_on_mismatching_fixed_point_position(const char *function, const char *file, const int line,
+                                                                    const ITensor *tensor_1, const ITensor *tensor_2, Ts... tensors)
 {
-    const std::array < const ITensor *, 1 + sizeof...(Ts) > tensors_array{ { tensor_2, std::forward<Ts>(tensors)... } };
-    ARM_COMPUTE_UNUSED(tensors_array);
-
-    ARM_COMPUTE_ERROR_ON_LOC_MSG(std::any_of(tensors_array.begin(), tensors_array.end(), [&](const ITensor * tensor)
-    {
-        return tensor->info()->fixed_point_position() != tensor_1->info()->fixed_point_position();
-    }),
-    function, file, line, "Tensors have different fixed-point positions");
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_mismatching_fixed_point_position(function, file, line, tensor_1->info(), tensor_2->info(),
+                                                                                         detail::get_tensor_info_t<ITensorInfo *>()(tensors)...));
+    return arm_compute::Error{};
 }
-#define ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT_POSITION(...) ::arm_compute::error_on_mismatching_fixed_point_position(__func__, __FILE__, __LINE__, __VA_ARGS__)
+#define ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT_POSITION(...) \
+    ARM_COMPUTE_ERROR_THROW(::arm_compute::error_on_mismatching_fixed_point_position(__func__, __FILE__, __LINE__, __VA_ARGS__))
+#define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT_POSITION(...) \
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_mismatching_fixed_point_position(__func__, __FILE__, __LINE__, __VA_ARGS__))
 
-/** Throw an error if the fixed-point value is not representable in the specified Q format.
+/** Return an error if the fixed-point value is not representable in the specified Q format.
+ *
+ *  @param[in] function    Function in which the error occurred.
+ *  @param[in] file        Name of the file where the error occurred.
+ *  @param[in] line        Line on which the error occurred.
+ *  @param[in] value       The floating point value to be checked.
+ *  @param[in] tensor_info Input tensor info that has information on data type and fixed-point position.
+ *
+ * @return Error
+ */
+inline arm_compute::Error error_on_value_not_representable_in_fixed_point(const char *function, const char *file, int line,
+                                                                          float value, const ITensorInfo *tensor_info)
+{
+    const int          fixed_point_position = tensor_info->fixed_point_position();
+    const DataType     dt                   = tensor_info->data_type();
+    const unsigned int q_max_range          = 0xFFFFFFFFu >> (((sizeof(unsigned int) - element_size_from_data_type(dt)) * 8) + 1);
+    const float        max_range            = q_max_range / (static_cast<float>(1 << fixed_point_position));
+
+    ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG(value > max_range, function, file, line,
+                                        "Value %f is not representable in %s with fixed-point position %d", value, string_from_data_type(dt).c_str(), fixed_point_position);
+    return arm_compute::Error{};
+}
+/** Return an error an error if the fixed-point value is not representable in the specified Q format.
  *
  *  @param[in] function Function in which the error occurred.
  *  @param[in] file     Name of the file where the error occurred.
  *  @param[in] line     Line on which the error occurred.
  *  @param[in] value    The floating point value to be checked.
  *  @param[in] tensor   Input tensor that has information on data type and fixed-point position.
+ *
+ * @return Error
  */
-template <typename... Ts>
-void error_on_value_not_representable_in_fixed_point(const char *function, const char *file, int line,
-                                                     float value, const ITensor *tensor)
+inline arm_compute::Error error_on_value_not_representable_in_fixed_point(const char *function, const char *file, int line,
+                                                                          float value, const ITensor *tensor)
 {
-    const int          fixed_point_position = tensor->info()->fixed_point_position();
-    const DataType     dt                   = tensor->info()->data_type();
-    const unsigned int q_max_range          = 0xFFFFFFFFu >> (((sizeof(unsigned int) - element_size_from_data_type(dt)) * 8) + 1);
-    const float        max_range            = q_max_range / (static_cast<float>(1 << fixed_point_position));
-    ARM_COMPUTE_UNUSED(max_range);
-
-    ARM_COMPUTE_ERROR_ON_LOC_MSG(value > max_range, function, file, line,
-                                 "Value %f is not representable in %s with fixed-point position %d", value, string_from_data_type(dt).c_str(), fixed_point_position);
+    ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor == nullptr, function, file, line);
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_value_not_representable_in_fixed_point(function, file, line, value, tensor->info()));
+    return arm_compute::Error{};
 }
-#define ARM_COMPUTE_ERROR_ON_VALUE_NOT_REPRESENTABLE_IN_FIXED_POINT(...) ::arm_compute::error_on_value_not_representable_in_fixed_point(__func__, __FILE__, __LINE__, __VA_ARGS__)
+#define ARM_COMPUTE_ERROR_ON_VALUE_NOT_REPRESENTABLE_IN_FIXED_POINT(...) \
+    ARM_COMPUTE_ERROR_THROW(::arm_compute::error_on_value_not_representable_in_fixed_point(__func__, __FILE__, __LINE__, __VA_ARGS__))
+#define ARM_COMPUTE_RETURN_ERROR_ON_VALUE_NOT_REPRESENTABLE_IN_FIXED_POINT(...) \
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_value_not_representable_in_fixed_point(__func__, __FILE__, __LINE__, __VA_ARGS__))
 }
 #endif /* __ARM_COMPUTE_VALIDATE_H__*/