COMPMID-3280: Make all ML primitives for CL use the new interface - Part 1

- Only CLKernels have been updated

Change-Id: Ife55b847c2e39e712a186eb6ca452503d5b66937
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3001
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 6 insertions, 1 deletions

diff --git a/src/core/CL/kernels/CLSpaceToDepthLayerKernel.cpp b/src/core/CL/kernels/CLSpaceToDepthLayerKernel.cpp
index a7e3777bab..b4bd3b8fbe 100644
--- a/src/core/CL/kernels/CLSpaceToDepthLayerKernel.cpp
+++ b/src/core/CL/kernels/CLSpaceToDepthLayerKernel.cpp
@@ -68,6 +68,11 @@ CLSpaceToDepthLayerKernel::CLSpaceToDepthLayerKernel()
 
 void CLSpaceToDepthLayerKernel::configure(const ICLTensor *input, ICLTensor *output, int32_t block_shape)
 {
+    configure(CLKernelLibrary::get().get_compile_context(), input, output, block_shape);
+}
+
+void CLSpaceToDepthLayerKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, int32_t block_shape)
+{
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
 
     TensorShape output_shape = compute_depth_to_space_shape(input->info(), block_shape);
@@ -88,7 +93,7 @@ void CLSpaceToDepthLayerKernel::configure(const ICLTensor *input, ICLTensor *out
     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 = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("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());