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authorFelix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com>2023-09-27 17:46:17 +0100
committerfelixjohnny.thomasmathibalan <felixjohnny.thomasmathibalan@arm.com>2023-09-28 12:08:05 +0000
commitafd38f0c617d6f89b2b4532c6c44f116617e2b6f (patch)
tree03bc7d5a762099989b16a656fa8d397b490ed70e /src/gpu/cl/kernels/ClFillKernel.cpp
parentbdcb4c148ee2fdeaaddf4cf1e57bbb0de02bb894 (diff)
downloadComputeLibrary-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/ClFillKernel.cpp')
-rw-r--r--src/gpu/cl/kernels/ClFillKernel.cpp27
1 files changed, 16 insertions, 11 deletions
diff --git a/src/gpu/cl/kernels/ClFillKernel.cpp b/src/gpu/cl/kernels/ClFillKernel.cpp
index a9345ee334..96ad503730 100644
--- a/src/gpu/cl/kernels/ClFillKernel.cpp
+++ b/src/gpu/cl/kernels/ClFillKernel.cpp
@@ -30,6 +30,7 @@
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Utils.h"
#include "arm_compute/core/Validate.h"
+
#include "src/core/CL/CLValidate.h"
#include "src/core/helpers/AutoConfiguration.h"
#include "src/core/helpers/WindowHelpers.h"
@@ -47,9 +48,10 @@ ClFillKernel::ClFillKernel()
_type = CLKernelType::ELEMENTWISE;
}
-void ClFillKernel::configure(const CLCompileContext &compile_context, ITensorInfo *tensor,
- const PixelValue &constant_value,
- Window *window)
+void ClFillKernel::configure(const CLCompileContext &compile_context,
+ ITensorInfo *tensor,
+ const PixelValue &constant_value,
+ Window *window)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(tensor);
ARM_COMPUTE_ERROR_THROW_ON(validate(tensor, constant_value, window));
@@ -60,7 +62,7 @@ void ClFillKernel::configure(const CLCompileContext &compile_context, ITensorInf
// Create and update the window (if needed)
_full_window = calculate_max_window(*tensor);
Window win = _full_window;
- if(window != nullptr)
+ if (window != nullptr)
{
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(win, *window);
win = *window;
@@ -70,9 +72,10 @@ void ClFillKernel::configure(const CLCompileContext &compile_context, ITensorInf
const bool multi_access_x = output_width_x >= vec_size_x;
const bool remainder_x = output_width_x % vec_size_x > 0;
- if(multi_access_x)
+ if (multi_access_x)
{
- win.set(Window::DimX, Window::Dimension(win.x().start(), ceil_to_multiple(win.x().end(), vec_size_x), vec_size_x));
+ win.set(Window::DimX,
+ Window::Dimension(win.x().start(), ceil_to_multiple(win.x().end(), vec_size_x), vec_size_x));
}
ICLKernel::configure_internal(win);
@@ -81,7 +84,9 @@ void ClFillKernel::configure(const CLCompileContext &compile_context, ITensorInf
build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(data_type));
build_opts.add_option("-DCONSTANT_VALUE=" + string_from_pixel_value(constant_value, data_type));
build_opts.add_option_if(multi_access_x, "-DVEC_SIZE=" + support::cpp11::to_string(vec_size_x));
- build_opts.add_option_if(multi_access_x && remainder_x, "-DLAST_ACCESSED_X=" + support::cpp11::to_string(std::max<int>(output_width_x - vec_size_x, 0)));
+ build_opts.add_option_if(multi_access_x && remainder_x,
+ "-DLAST_ACCESSED_X=" +
+ support::cpp11::to_string(std::max<int>(output_width_x - vec_size_x, 0)));
_kernel = create_kernel(compile_context, "memset", build_opts.options());
}
@@ -89,7 +94,7 @@ Status ClFillKernel::validate(const ITensorInfo *tensor, const PixelValue &const
{
ARM_COMPUTE_UNUSED(tensor);
ARM_COMPUTE_UNUSED(constant_value);
- if(window != nullptr)
+ if (window != nullptr)
{
ARM_COMPUTE_RETURN_ERROR_ON(window->x().step() != 1);
}
@@ -101,7 +106,8 @@ void ClFillKernel::run_op(ITensorPack &tensors, const Window &window, cl::Comman
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
- const auto tensor = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC));
+ const auto tensor =
+ utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC));
// Collapse all the batches on the third
Window collapsed = window.collapse_if_possible(_full_window, Window::DimZ);
@@ -112,8 +118,7 @@ void ClFillKernel::run_op(ITensorPack &tensors, const Window &window, cl::Comman
unsigned int idx = 0;
add_3D_tensor_argument(idx, tensor, slice);
enqueue(queue, *this, slice, lws_hint());
- }
- while(collapsed.slide_window_slice_3D(slice));
+ } while (collapsed.slide_window_slice_3D(slice));
}
} // namespace kernels
} // namespace opencl