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>

src/gpu/cl/kernels/helpers/MatMulKernelHelpers.cpp

diff --git a/src/gpu/cl/kernels/helpers/MatMulKernelHelpers.cpp b/src/gpu/cl/kernels/helpers/MatMulKernelHelpers.cpp
index 2407c6c..689a743 100644
--- a/src/gpu/cl/kernels/helpers/MatMulKernelHelpers.cpp
+++ b/src/gpu/cl/kernels/helpers/MatMulKernelHelpers.cpp
@@ -36,7 +36,9 @@
 {
 namespace kernels
 {
-Status validate_matmul_input_shapes(const TensorShape &lhs_shape, const TensorShape &rhs_shape, const MatMulKernelInfo &matmul_kernel_info)
+Status validate_matmul_input_shapes(const TensorShape      &lhs_shape,
+                                    const TensorShape      &rhs_shape,
+                                    const MatMulKernelInfo &matmul_kernel_info)
 {
     const size_t lhs_k = matmul_kernel_info.adj_lhs ? lhs_shape.y() : lhs_shape.x();
     const size_t rhs_k = matmul_kernel_info.adj_rhs ? rhs_shape.x() : rhs_shape.y();
@@ -46,7 +48,7 @@
     ARM_COMPUTE_RETURN_ERROR_ON_MSG(rhs_shape.total_size() == 0, "Rhs tensor can't be empty");
 
     constexpr size_t batch_dim_start = 2;
-    for(size_t i = batch_dim_start; i < Coordinates::num_max_dimensions; ++i)
+    for (size_t i = batch_dim_start; i < Coordinates::num_max_dimensions; ++i)
     {
         ARM_COMPUTE_RETURN_ERROR_ON_MSG(lhs_shape[i] != rhs_shape[i], "Batch dimension broadcasting is not supported");
     }
@@ -54,9 +56,12 @@
     return Status{};
 }
 
-std::pair<Status, Window> validate_and_configure_window_for_mmul_kernels(const ITensorInfo *lhs,
-                                                                         const ITensorInfo *rhs, const ITensorInfo *dst, const MatMulKernelInfo &matmul_kernel_info,
-                                                                         int mmul_m0, int mmul_n0)
+std::pair<Status, Window> validate_and_configure_window_for_mmul_kernels(const ITensorInfo      *lhs,
+                                                                         const ITensorInfo      *rhs,
+                                                                         const ITensorInfo      *dst,
+                                                                         const MatMulKernelInfo &matmul_kernel_info,
+                                                                         int                     mmul_m0,
+                                                                         int                     mmul_n0)
 {
     ARM_COMPUTE_UNUSED(lhs, rhs);