COMPMID-3280: Make all ML primitives for CL use the new interface - Part1 - Fix1

- const fix in the CLKernels part 1

Change-Id: I17340cb6ff26afd52b14b46645efedbe07aef1b6
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3067
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
diff --git a/arm_compute/core/CL/kernels/CLBatchToSpaceLayerKernel.h b/arm_compute/core/CL/kernels/CLBatchToSpaceLayerKernel.h
index f9289ea..2b12ad0 100644
--- a/arm_compute/core/CL/kernels/CLBatchToSpaceLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLBatchToSpaceLayerKernel.h
@@ -61,7 +61,7 @@
      * @param[in]  block_shape     1-D tensor with shape [M]. Data types supported: S32
      * @param[out] output          Tensor output. Data types supported: same as @p input
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *block_shape, ICLTensor *output);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *block_shape, ICLTensor *output);
     /** Initialise the kernel's inputs and output (Static block shape).
      *
      * @param[in]  input         Tensor input. Supported tensor rank: 4. Data types supported: All.
@@ -78,7 +78,7 @@
      * @param[in]  block_shape_y   Block shape y value.
      * @param[out] output          Tensor output. Data types supported: same as @p input
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, const int32_t block_shape_x, const int32_t block_shape_y, ICLTensor *output);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, const int32_t block_shape_x, const int32_t block_shape_y, ICLTensor *output);
     /** Static function to check if given info will lead to a valid configuration of @ref CLBatchToSpaceLayerKernel
      *
      * @param[in] input       Tensor input. Supported tensor rank: 4. Data types supported: All.