COMPMID-1365: Add support for NHWC in CLDepthConcatenateLayer

Change-Id: I3ed55bdb95d888aff0b0b76fb841bf1669659308
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/139963
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

1 files changed, 0 insertions, 31 deletions

diff --git a/arm_compute/core/Utils.h b/arm_compute/core/Utils.h
index 729a46fe3f..1cdfd389db 100644
--- a/arm_compute/core/Utils.h
+++ b/arm_compute/core/Utils.h
@@ -630,37 +630,6 @@ inline uint32_t calculate_matrix_scale(const int16_t *matrix, unsigned int matri
     return std::max(1, std::abs(std::accumulate(matrix, matrix + size, 0)));
 }
 
-/** Calculate the output shapes of the depth concatenate function.
- *
- * @param[in] inputs_vector The vector that stores all the pointers to input.
- *
- * @return the output shape
- */
-template <typename T>
-TensorShape calculate_depth_concatenate_shape(const std::vector<T *> &inputs_vector)
-{
-    TensorShape out_shape = inputs_vector[0]->info()->tensor_shape();
-
-    size_t max_x = 0;
-    size_t max_y = 0;
-    size_t depth = 0;
-
-    for(const auto &tensor : inputs_vector)
-    {
-        ARM_COMPUTE_ERROR_ON(tensor == nullptr);
-        const TensorShape shape = tensor->info()->tensor_shape();
-        max_x                   = std::max(shape.x(), max_x);
-        max_y                   = std::max(shape.y(), max_y);
-        depth += shape.z();
-    }
-
-    out_shape.set(0, max_x);
-    out_shape.set(1, max_y);
-    out_shape.set(2, depth);
-
-    return out_shape;
-}
-
 /** Adjust tensor shape size if width or height are odd for a given multi-planar format. No modification is done for other formats.
  *
  * @note Adding here a few links discussing the issue of odd size and sharing the same solution: