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-rw-r--r--arm_compute/core/utils/misc/ShapeCalculator.h2
-rw-r--r--arm_compute/core/utils/misc/Utility.h3
2 files changed, 4 insertions, 1 deletions
diff --git a/arm_compute/core/utils/misc/ShapeCalculator.h b/arm_compute/core/utils/misc/ShapeCalculator.h
index 65a2a1edf4..c4c360842f 100644
--- a/arm_compute/core/utils/misc/ShapeCalculator.h
+++ b/arm_compute/core/utils/misc/ShapeCalculator.h
@@ -859,6 +859,7 @@ inline TensorShape compute_mm_shape(const ITensorInfo &input0, const ITensorInfo
*/
inline TensorShape compute_mm_shape(const ITensorInfo &input0, const ITensorInfo &input1, const GEMMReshapeInfo &gemm_info)
{
+ ARM_COMPUTE_UNUSED(input1);
ARM_COMPUTE_ERROR_ON_MSG(input0.num_dimensions() > 4, "The number of dimensions for the matrix A must be <= 4");
const bool reinterpret_input_as_3d = gemm_info.reinterpret_input_as_3d();
@@ -896,6 +897,7 @@ inline TensorShape compute_mm_shape(const ITensorInfo &input0, const ITensorInfo
*/
inline TensorShape compute_mm_shape(const ITensorInfo &input0, const ITensorInfo &input1, const GEMMKernelInfo &gemm_info)
{
+ ARM_COMPUTE_UNUSED(input1);
ARM_COMPUTE_ERROR_ON_MSG(input0.num_dimensions() > 4, "The number of dimensions for the matrix A must be <= 4");
const bool reinterpret_input_as_3d = gemm_info.reinterpret_input_as_3d;
diff --git a/arm_compute/core/utils/misc/Utility.h b/arm_compute/core/utils/misc/Utility.h
index 2325644e72..d27a3cf75e 100644
--- a/arm_compute/core/utils/misc/Utility.h
+++ b/arm_compute/core/utils/misc/Utility.h
@@ -65,7 +65,7 @@ struct generate_array<T, 0, val, vals...>
static constexpr std::array<T, sizeof...(vals)> value{ vals... };
};
-template <typename T, T val, T... vals>
+template <typename T, T val, T... vals>
constexpr std::array<T, sizeof...(vals)> generate_array<T, 0, val, vals...>::value;
/** @endcond */
@@ -83,6 +83,7 @@ T make_array(Iterator first, index_sequence<S...>)
template <std::size_t N, typename Iterator>
std::array<typename std::iterator_traits<Iterator>::value_type, N> make_array(Iterator first, Iterator last)
{
+ ARM_COMPUTE_UNUSED(last);
return detail::make_array(first, index_sequence_t<N> {});
}