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Diffstat (limited to 'src/core/CL/kernels/CLSpaceToDepthLayerKernel.cpp')
-rw-r--r--src/core/CL/kernels/CLSpaceToDepthLayerKernel.cpp23
1 files changed, 14 insertions, 9 deletions
diff --git a/src/core/CL/kernels/CLSpaceToDepthLayerKernel.cpp b/src/core/CL/kernels/CLSpaceToDepthLayerKernel.cpp
index c5ffdb588b..25662b5c62 100644
--- a/src/core/CL/kernels/CLSpaceToDepthLayerKernel.cpp
+++ b/src/core/CL/kernels/CLSpaceToDepthLayerKernel.cpp
@@ -27,6 +27,7 @@
#include "arm_compute/core/CL/ICLTensor.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "arm_compute/core/utils/StringUtils.h"
+
#include "src/core/CL/CLValidate.h"
#include "src/core/helpers/AutoConfiguration.h"
#include "src/core/helpers/WindowHelpers.h"
@@ -45,7 +46,7 @@ Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, i
ARM_COMPUTE_RETURN_ERROR_ON(block_shape < 1);
// Validate output if initialized
- if(output->total_size() != 0)
+ if (output->total_size() != 0)
{
const DataLayout data_layout = input->data_layout();
const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
@@ -64,8 +65,7 @@ Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, i
}
} // namespace
-CLSpaceToDepthLayerKernel::CLSpaceToDepthLayerKernel()
- : _input(nullptr), _output(nullptr), _block_shape()
+CLSpaceToDepthLayerKernel::CLSpaceToDepthLayerKernel() : _input(nullptr), _output(nullptr), _block_shape()
{
_type = CLKernelType::ELEMENTWISE;
}
@@ -75,10 +75,13 @@ void CLSpaceToDepthLayerKernel::configure(const ICLTensor *input, ICLTensor *out
configure(CLKernelLibrary::get().get_compile_context(), input, output, block_shape);
}
-void CLSpaceToDepthLayerKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, int32_t block_shape)
+void CLSpaceToDepthLayerKernel::configure(const CLCompileContext &compile_context,
+ const ICLTensor *input,
+ ICLTensor *output,
+ int32_t block_shape)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
- auto padding_info = get_padding_info({ input, output });
+ auto padding_info = get_padding_info({input, output});
TensorShape output_shape = compute_space_to_depth_shape(input->info(), block_shape);
auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type());
@@ -94,11 +97,14 @@ void CLSpaceToDepthLayerKernel::configure(const CLCompileContext &compile_contex
// Create kernel
CLBuildOptions build_opts;
- build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(data_size_from_type(output->info()->data_type())));
+ build_opts.add_option("-DDATA_TYPE=" +
+ get_cl_unsigned_type_from_element_size(data_size_from_type(output->info()->data_type())));
build_opts.add_option("-DCHANNEL_SIZE=" + support::cpp11::to_string(output->info()->dimension(idx_channel)));
build_opts.add_option("-DBLOCK_SHAPE=" + support::cpp11::to_string(block_shape));
build_opts.add_option("-DWIDTH_IN=" + support::cpp11::to_string(output->info()->dimension(idx_width)));
- _kernel = create_kernel(compile_context, "space_to_depth_" + lower_string(string_from_data_layout(input->info()->data_layout())), build_opts.options());
+ _kernel = create_kernel(compile_context,
+ "space_to_depth_" + lower_string(string_from_data_layout(input->info()->data_layout())),
+ build_opts.options());
// Configure kernel window
Window win = calculate_max_window(*output->info(), Steps());
@@ -136,7 +142,6 @@ void CLSpaceToDepthLayerKernel::run(const Window &window, cl::CommandQueue &queu
enqueue(queue, *this, slice_out, lws_hint());
++batch_id;
- }
- while(window.slide_window_slice_3D(slice_out));
+ } while (window.slide_window_slice_3D(slice_out));
}
} // namespace arm_compute