commit afd38f0c617d6f89b2b4532c6c44f116617e2b6f
author Felix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com> Wed Sep 27 17:46:17 2023 +0100
committer felixjohnny.thomasmathibalan <felixjohnny.thomasmathibalan@arm.com> Thu Sep 28 12:08:05 2023 +0000
tree 03bc7d5a762099989b16a656fa8d397b490ed70e
parent bdcb4c148ee2fdeaaddf4cf1e57bbb0de02bb894

Apply clang-format on repository

Code is formatted as per a revised clang format configuration
file(not part of this delivery). Version 14.0.6 is used.

Exclusion List:
- files with .cl extension
- files that are not strictly C/C++ (e.g. Android.bp, Sconscript ...)
And the following directories
- compute_kernel_writer/validation/
- tests/
- include/
- src/core/NEON/kernels/convolution/
- src/core/NEON/kernels/arm_gemm/
- src/core/NEON/kernels/arm_conv/
- data/

There will be a follow up for formatting of .cl files and the
files under tests/ and compute_kernel_writer/validation/.

Signed-off-by: Felix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com>
Change-Id: Ib7eb1fcf4e7537b9feaefcfc15098a804a3fde0a
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10391
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>

arm_compute/core/TensorShape.h

diff --git a/arm_compute/core/TensorShape.h b/arm_compute/core/TensorShape.h
index 4c9186a..c1707e2 100644
--- a/arm_compute/core/TensorShape.h
+++ b/arm_compute/core/TensorShape.h
@@ -44,11 +44,10 @@
      * @param[in] dims Values to initialize the dimensions.
      */
     template <typename... Ts>
-    TensorShape(Ts... dims)
-        : Dimensions{ dims... }
+    TensorShape(Ts... dims) : Dimensions{dims...}
     {
         // Initialize unspecified dimensions to 1
-        if(_num_dimensions > 0)
+        if (_num_dimensions > 0)
         {
             std::fill(_id.begin() + _num_dimensions, _id.end(), 1);
         }
@@ -79,7 +78,7 @@
     TensorShape &set(size_t dimension, size_t value, bool apply_dim_correction = true, bool increase_dim_unit = true)
     {
         // Clear entire shape if one dimension is zero
-        if(value == 0)
+        if (value == 0)
         {
             _num_dimensions = 0;
             std::fill(_id.begin(), _id.end(), 0);
@@ -94,7 +93,7 @@
             Dimensions::set(dimension, value, increase_dim_unit);
 
             // Correct number dimensions to ignore trailing dimensions of size 1
-            if(apply_dim_correction)
+            if (apply_dim_correction)
             {
                 apply_dimension_correction();
             }
@@ -123,7 +122,7 @@
         std::fill(_id.begin() + _num_dimensions, _id.end(), 1);
 
         // Correct number dimensions to ignore trailing dimensions of size 1
-        if(apply_dim_correction)
+        if (apply_dim_correction)
         {
             apply_dimension_correction();
         }
@@ -212,26 +211,26 @@
      * @return The broadcasted shape or an empty shape if the shapes are not broadcast compatible.
      */
     template <typename... Shapes>
-    static TensorShape broadcast_shape(const Shapes &... shapes)
+    static TensorShape broadcast_shape(const Shapes &...shapes)
     {
         TensorShape bc_shape;
 
-        auto broadcast = [&bc_shape](const TensorShape & other)
+        auto broadcast = [&bc_shape](const TensorShape &other)
         {
-            if(bc_shape.num_dimensions() == 0)
+            if (bc_shape.num_dimensions() == 0)
             {
                 bc_shape = other;
             }
-            else if(other.num_dimensions() != 0)
+            else if (other.num_dimensions() != 0)
             {
-                for(size_t d = 0; d < TensorShape::num_max_dimensions; ++d)
+                for (size_t d = 0; d < TensorShape::num_max_dimensions; ++d)
                 {
                     const size_t dim_min = std::min(bc_shape[d], other[d]);
                     const size_t dim_max = std::max(bc_shape[d], other[d]);
 
-                    if((dim_min != 1) && (dim_min != dim_max))
+                    if ((dim_min != 1) && (dim_min != dim_max))
                     {
-                        bc_shape = TensorShape{ 0U };
+                        bc_shape = TensorShape{0U};
                         break;
                     }
 
@@ -249,9 +248,9 @@
     /** Remove trailing dimensions of size 1 from the reported number of dimensions. */
     void apply_dimension_correction()
     {
-        for(int i = static_cast<int>(_num_dimensions) - 1; i > 0; --i)
+        for (int i = static_cast<int>(_num_dimensions) - 1; i > 0; --i)
         {
-            if(_id[i] == 1)
+            if (_id[i] == 1)
             {
                 --_num_dimensions;
             }
@@ -262,5 +261,5 @@
         }
     }
 };
-}
+} // namespace arm_compute
 #endif /*ARM_COMPUTE_TENSORSHAPE_H*/