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| author | Michele Di Giorgio <michele.digiorgio@arm.com> | 2019-06-19 12:28:47 +0100 |
|---|---|---|
| committer | Michele Di Giorgio <michele.digiorgio@arm.com> | 2019-07-03 09:36:46 +0000 |
| commit | 4646d2e026a0fa92085fcba2f4aec5ec148956aa (patch) | |
| tree | 0847684b138f9b4631cf56e20d0e75ef313607d0 /src/core/CL/kernels/CLWidthConcatenateLayerKernel.cpp | |
| parent | cbe39055f61bc7a3f6aef4588de47d48b77cf354 (diff) | |
| download | ComputeLibrary-4646d2e026a0fa92085fcba2f4aec5ec148956aa.tar.gz | |
COMPMID-2072: Use a constexpr for num_elems_processed_per_iteration where possible
Change-Id: I26cb699ae3a77003ef7d05ac30d3ed518214e25f
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1375
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Manuel Bottini <manuel.bottini@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Pablo Marquez <pablo.tello@arm.com>
Diffstat (limited to 'src/core/CL/kernels/CLWidthConcatenateLayerKernel.cpp')
| -rw-r--r-- | src/core/CL/kernels/CLWidthConcatenateLayerKernel.cpp | 10 |
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 |