diff options
author | Felix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com> | 2023-09-27 17:46:17 +0100 |
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committer | felixjohnny.thomasmathibalan <felixjohnny.thomasmathibalan@arm.com> | 2023-09-28 12:08:05 +0000 |
commit | afd38f0c617d6f89b2b4532c6c44f116617e2b6f (patch) | |
tree | 03bc7d5a762099989b16a656fa8d397b490ed70e /src/gpu/cl/kernels/helpers/MatMulKernelHelpers.cpp | |
parent | bdcb4c148ee2fdeaaddf4cf1e57bbb0de02bb894 (diff) | |
download | ComputeLibrary-afd38f0c617d6f89b2b4532c6c44f116617e2b6f.tar.gz |
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>
Diffstat (limited to 'src/gpu/cl/kernels/helpers/MatMulKernelHelpers.cpp')
-rw-r--r-- | src/gpu/cl/kernels/helpers/MatMulKernelHelpers.cpp | 15 |
1 files changed, 10 insertions, 5 deletions
diff --git a/src/gpu/cl/kernels/helpers/MatMulKernelHelpers.cpp b/src/gpu/cl/kernels/helpers/MatMulKernelHelpers.cpp index 2407c6ca5e..689a743fdf 100644 --- a/src/gpu/cl/kernels/helpers/MatMulKernelHelpers.cpp +++ b/src/gpu/cl/kernels/helpers/MatMulKernelHelpers.cpp @@ -36,7 +36,9 @@ namespace opencl { 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 @@ Status validate_matmul_input_shapes(const TensorShape &lhs_shape, const TensorSh 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 @@ Status validate_matmul_input_shapes(const TensorShape &lhs_shape, const TensorSh 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); |