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Diffstat (limited to 'src/core/CL/kernels/CLWidthConcatenateLayerKernel.cpp')
-rw-r--r--src/core/CL/kernels/CLWidthConcatenateLayerKernel.cpp10
1 files changed, 5 insertions, 5 deletions
diff --git a/src/core/CL/kernels/CLWidthConcatenateLayerKernel.cpp b/src/core/CL/kernels/CLWidthConcatenateLayerKernel.cpp
index b577944a03..01fef481a8 100644
--- a/src/core/CL/kernels/CLWidthConcatenateLayerKernel.cpp
+++ b/src/core/CL/kernels/CLWidthConcatenateLayerKernel.cpp
@@ -40,13 +40,14 @@
#include <map>
-using namespace arm_compute;
+namespace arm_compute
+{
namespace
{
+constexpr unsigned int num_elems_processed_per_iteration = 16;
+
std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, unsigned int width_offset, ITensorInfo *output)
{
- const unsigned int num_elems_processed_per_iteration = 16;
-
// The window needs to be based on input as we copy all the widths of input
Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration));
AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration);
@@ -98,8 +99,6 @@ void CLWidthConcatenateLayerKernel::configure(const ICLTensor *input, unsigned i
_output = output;
_width_offset = width_offset;
- const unsigned int num_elems_processed_per_iteration = 16;
-
// Add build options
CLBuildOptions build_opts;
build_opts.add_option("-DDATA_TYPE=" + get_underlying_cl_type_from_data_type(input->info()->data_type()));
@@ -137,3 +136,4 @@ void CLWidthConcatenateLayerKernel::run(const Window &window, cl::CommandQueue &
add_4D_tensor_argument(idx, _output, window);
enqueue(queue, *this, window);
}
+} // namespace arm_compute