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, 13 insertions, 3 deletions

diff --git a/src/core/CL/kernels/CLGaussian5x5Kernel.cpp b/src/core/CL/kernels/CLGaussian5x5Kernel.cpp
index 3b45b07ed9..98436b950f 100644
--- a/src/core/CL/kernels/CLGaussian5x5Kernel.cpp
+++ b/src/core/CL/kernels/CLGaussian5x5Kernel.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2016-2019 ARM Limited.
+ * Copyright (c) 2016-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -29,17 +29,27 @@ using namespace arm_compute;
 
 void CLGaussian5x5HorKernel::configure(const ICLTensor *input, ICLTensor *output, bool border_undefined)
 {
+    configure(CLKernelLibrary::get().get_compile_context(), input, output, border_undefined);
+}
+
+void CLGaussian5x5HorKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, bool border_undefined)
+{
     const std::array<int16_t, 5> matrix = { 1, 4, 6, 4, 1 };
 
     // Set arguments
-    CLSeparableConvolution5x5HorKernel::configure(input, output, matrix.data(), border_undefined);
+    CLSeparableConvolution5x5HorKernel::configure(compile_context, input, output, matrix.data(), border_undefined);
 }
 
 void CLGaussian5x5VertKernel::configure(const ICLTensor *input, ICLTensor *output, bool border_undefined)
 {
+    configure(CLKernelLibrary::get().get_compile_context(), input, output, border_undefined);
+}
+
+void CLGaussian5x5VertKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, bool border_undefined)
+{
     const uint32_t scale = 256;
     const std::array<int16_t, 5> matrix = { 1, 4, 6, 4, 1 };
 
     // Set arguments
-    CLSeparableConvolution5x5VertKernel::configure(input, output, matrix.data(), scale, border_undefined);
+    CLSeparableConvolution5x5VertKernel::configure(compile_context, input, output, matrix.data(), scale, border_undefined);
 }