COMPMID-3280: Make all ML primitives for CL use the new interface - Part1 - Fix3

- const fix in the CLKernels part 3

Change-Id: I9cfb896f334145249a97c9287fa00399b8319a8e
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3075
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

33 files changed, 39 insertions, 39 deletions

diff --git a/arm_compute/core/CL/kernels/CLROIPoolingLayerKernel.h b/arm_compute/core/CL/kernels/CLROIPoolingLayerKernel.h
index 8ba1b35171..ea70a58188 100644
--- a/arm_compute/core/CL/kernels/CLROIPoolingLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLROIPoolingLayerKernel.h
@@ -77,7 +77,7 @@ public:
      * @note The z dimensions of @p output tensor and @p input tensor must be the same.
      * @note The fourth dimension of @p output tensor must be the same as the number of elements in @p rois array.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *rois, ICLTensor *output, const ROIPoolingLayerInfo &pool_info);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *rois, ICLTensor *output, const ROIPoolingLayerInfo &pool_info);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLRangeKernel.h b/arm_compute/core/CL/kernels/CLRangeKernel.h
index 5cc4a220ca..fc8db98bf9 100644
--- a/arm_compute/core/CL/kernels/CLRangeKernel.h
+++ b/arm_compute/core/CL/kernels/CLRangeKernel.h
@@ -67,7 +67,7 @@ public:
      * @param[in]  end             The ending (not including) value of the sequence.
      * @param[in]  step            The gap between each pair of values in the sequence.
      */
-    void configure(CLCompileContext &compile_context, ICLTensor *output, float start, float end, float step);
+    void configure(const CLCompileContext &compile_context, ICLTensor *output, float start, float end, float step);
     /** Static function to check if given info will lead to a valid configuration of @ref CLRangeKernel
      *
      * @param[in] output Output tensor info. Data types supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32.
diff --git a/arm_compute/core/CL/kernels/CLReductionOperationKernel.h b/arm_compute/core/CL/kernels/CLReductionOperationKernel.h
index bdab58bea1..0b0b4ae9b0 100644
--- a/arm_compute/core/CL/kernels/CLReductionOperationKernel.h
+++ b/arm_compute/core/CL/kernels/CLReductionOperationKernel.h
@@ -69,7 +69,7 @@ public:
      * @param[in]  op              Reduction operation to perform. Operations supported: MEAN_SUM, PROD, SUM_SQUARE, SUM, MIN, MAX
      * @param[in]  width           (Optional)  In case of x-axis we also need to provide the width of the input image.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, unsigned int axis, ReductionOperation op, unsigned int width = 0);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, unsigned int axis, ReductionOperation op, unsigned int width = 0);
 
     /** Static function to check if given info will lead to a valid configuration of @ref CLReductionOperationKernel.
      *
diff --git a/arm_compute/core/CL/kernels/CLRemapKernel.h b/arm_compute/core/CL/kernels/CLRemapKernel.h
index 14f4b2ddb5..f3d1511905 100644
--- a/arm_compute/core/CL/kernels/CLRemapKernel.h
+++ b/arm_compute/core/CL/kernels/CLRemapKernel.h
@@ -65,7 +65,7 @@ public:
      * @param[in]  policy           The interpolation type.
      * @param[in]  border_undefined True if the border mode is undefined. False if it's replicate or constant.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *map_x, const ICLTensor *map_y, ICLTensor *output, InterpolationPolicy policy, bool border_undefined);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *map_x, const ICLTensor *map_y, ICLTensor *output, InterpolationPolicy policy, bool border_undefined);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLReorgLayerKernel.h b/arm_compute/core/CL/kernels/CLReorgLayerKernel.h
index 65304c1cc6..9c064858af 100644
--- a/arm_compute/core/CL/kernels/CLReorgLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLReorgLayerKernel.h
@@ -65,7 +65,7 @@ public:
      * @param[in]  stride          Stride value to use for reorganizing the values in the output tensor.
      *                             It defines the spatial distance between 2 consecutive pixels in the x and y direction
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, int32_t stride);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, int32_t stride);
     /** Static function to check if given info will lead to a valid configuration of @ref CLReorgLayerKernel
      *
      * @param[in] input  Source tensor. Data types supported: All.
diff --git a/arm_compute/core/CL/kernels/CLReshapeLayerKernel.h b/arm_compute/core/CL/kernels/CLReshapeLayerKernel.h
index f9588e818f..3ea74114d0 100644
--- a/arm_compute/core/CL/kernels/CLReshapeLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLReshapeLayerKernel.h
@@ -59,7 +59,7 @@ public:
      * @param[in]  input           Source tensor. Data type supported: All.
      * @param[out] output          Destination tensor. Data type supported: Same as @p input
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output);
 
     /** Static function to check if given info will lead to a valid configuration of @ref CLReshapeLayerKernel
      *
diff --git a/arm_compute/core/CL/kernels/CLReverseKernel.h b/arm_compute/core/CL/kernels/CLReverseKernel.h
index b1547cfb9f..e8f4507969 100644
--- a/arm_compute/core/CL/kernels/CLReverseKernel.h
+++ b/arm_compute/core/CL/kernels/CLReverseKernel.h
@@ -60,7 +60,7 @@ public:
      * @param[out] output          Output tensor. Data type supported: Same as @p input
      * @param[in]  axis            Axis tensor. Contains the indices of the dimensions to reverse. Data type supported: U32
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const ICLTensor *axis);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const ICLTensor *axis);
 
     /** Static function to check if given info will lead to a valid configuration of @ref CLReverseKernel
      *
diff --git a/arm_compute/core/CL/kernels/CLScaleKernel.h b/arm_compute/core/CL/kernels/CLScaleKernel.h
index 02dfb3eccf..328578d88c 100644
--- a/arm_compute/core/CL/kernels/CLScaleKernel.h
+++ b/arm_compute/core/CL/kernels/CLScaleKernel.h
@@ -57,7 +57,7 @@ public:
      * @param[in]  sampling_policy (Optional) Sampling policy used by the interpolation. Defaults to @ref SamplingPolicy::CENTER
      * @param[in]  align_corners   (Optional) Align corners of input and output, only affecting bilinear policy with TOP_LEFT sampling policy. Defaults to false.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, InterpolationPolicy policy, BorderMode border_mode,
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, InterpolationPolicy policy, BorderMode border_mode,
                    SamplingPolicy sampling_policy = SamplingPolicy::CENTER, bool align_corners = false);
 
     /** Static function to check if given info will lead to a valid configuration of @ref CLScaleKernel
diff --git a/arm_compute/core/CL/kernels/CLScharr3x3Kernel.h b/arm_compute/core/CL/kernels/CLScharr3x3Kernel.h
index 1cdb66715e..209a150a67 100644
--- a/arm_compute/core/CL/kernels/CLScharr3x3Kernel.h
+++ b/arm_compute/core/CL/kernels/CLScharr3x3Kernel.h
@@ -80,7 +80,7 @@ public:
      * @param[out] output_y         (Optional) Destination tensor for the Y gradient, Data types supported: S16.
      * @param[in]  border_undefined True if the border mode is undefined. False if it's replicate or constant.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output_x, ICLTensor *output_y, bool border_undefined);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output_x, ICLTensor *output_y, bool border_undefined);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLSelectKernel.h b/arm_compute/core/CL/kernels/CLSelectKernel.h
index 02f4cccfdb..5cbd985cda 100644
--- a/arm_compute/core/CL/kernels/CLSelectKernel.h
+++ b/arm_compute/core/CL/kernels/CLSelectKernel.h
@@ -68,7 +68,7 @@ public:
      * @param[out] y               Second input tensor. Data types supported: Same as @p x
      * @param[in]  output          Output tensor. Data types supported: Same as @p x.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *c, const ICLTensor *x, const ICLTensor *y, ICLTensor *output);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *c, const ICLTensor *x, const ICLTensor *y, ICLTensor *output);
     /** Static function to check if given info will lead to a valid configuration of @ref CLSelectKernel
      *
      * @param[in] c      Condition input tensor. Data types supported: U8.
diff --git a/arm_compute/core/CL/kernels/CLSobel3x3Kernel.h b/arm_compute/core/CL/kernels/CLSobel3x3Kernel.h
index 3970c07b5a..4240fe80b3 100644
--- a/arm_compute/core/CL/kernels/CLSobel3x3Kernel.h
+++ b/arm_compute/core/CL/kernels/CLSobel3x3Kernel.h
@@ -66,7 +66,7 @@ public:
      * @param[out] output_y         (Optional) Destination tensor for the Y gradient, Data types supported: S16.
      * @param[in]  border_undefined True if the border mode is undefined. False if it's replicate or constant.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output_x, ICLTensor *output_y, bool border_undefined);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output_x, ICLTensor *output_y, bool border_undefined);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLSobel5x5Kernel.h b/arm_compute/core/CL/kernels/CLSobel5x5Kernel.h
index 0aff209931..ef30f0ec93 100644
--- a/arm_compute/core/CL/kernels/CLSobel5x5Kernel.h
+++ b/arm_compute/core/CL/kernels/CLSobel5x5Kernel.h
@@ -67,7 +67,7 @@ public:
      * @param[out] output_y         (Optional) Destination tensor for the Y gradient, Data types supported: S16.
      * @param[in]  border_undefined True if the border mode is undefined. False if it's replicate or constant.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output_x, ICLTensor *output_y, bool border_undefined);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output_x, ICLTensor *output_y, bool border_undefined);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
@@ -121,7 +121,7 @@ public:
      * @param[out] output_y         (Optional) Destination tensor for the Y gradient, Data types supported: S16.
      * @param[in]  border_undefined True if the border mode is undefined. False if it's replicate or constant.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input_x, const ICLTensor *input_y, ICLTensor *output_x, ICLTensor *output_y, bool border_undefined);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input_x, const ICLTensor *input_y, ICLTensor *output_x, ICLTensor *output_y, bool border_undefined);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLSobel7x7Kernel.h b/arm_compute/core/CL/kernels/CLSobel7x7Kernel.h
index 31809b1cf4..4eda5a40d4 100644
--- a/arm_compute/core/CL/kernels/CLSobel7x7Kernel.h
+++ b/arm_compute/core/CL/kernels/CLSobel7x7Kernel.h
@@ -67,7 +67,7 @@ public:
      * @param[out] output_y         (Optional) Destination tensor for the Y gradient, Data types supported: S32.
      * @param[in]  border_undefined True if the border mode is undefined. False if it's replicate or constant.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output_x, ICLTensor *output_y, bool border_undefined);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output_x, ICLTensor *output_y, bool border_undefined);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
@@ -121,7 +121,7 @@ public:
      * @param[out] output_y         (Optional) Destination tensor for the Y gradient, Data types supported: S32.
      * @param[in]  border_undefined True if the border mode is undefined. False if it's replicate or constant.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input_x, const ICLTensor *input_y, ICLTensor *output_x, ICLTensor *output_y, bool border_undefined);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input_x, const ICLTensor *input_y, ICLTensor *output_x, ICLTensor *output_y, bool border_undefined);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h b/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h
index 800d909a1c..b174f493b5 100644
--- a/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h
@@ -49,7 +49,7 @@ public:
      * @param[in]  input           Source tensor. Data types supported: QASYMM8/F16/F32
      * @param[out] output          Destination tensor. Data types supported: same as @p input
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output);
     /** Static function to check if given info will lead to a valid configuration of @ref CLLogits1DMaxKernel
      *
      * @param[in] input  Source tensor. Data types supported: QASYMM8/F16/F32
@@ -92,7 +92,7 @@ public:
      * @param[out] sum             Sum of 1D logits tensor. Data types supported: S32 for QASYMM8 @p input, or same as @p input
      * @param[in]  beta            (Optional) A scaling factor for the exponent. Defaults to 1.0
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *max, ICLTensor *output, ICLTensor *sum, float beta = 1.0f);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *max, ICLTensor *output, ICLTensor *sum, float beta = 1.0f);
     /** Static function to check if given info will lead to a valid configuration of @ref CLLogits1DShiftExpSumKernel
      *
      * @param[in] input  Source tensor. Data types supported: QASYMM8/F16/F32
@@ -150,7 +150,7 @@ public:
      * @param[out]    sum             Sum of 1D logits tensor. Data types supported: same as @p input
      * @param[in]     info            Contains information consumed by kernels for softmax described in @ref SoftmaxKernelInfo.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *max, ICLTensor *output, ICLTensor *sum, const SoftmaxKernelInfo &info);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *max, ICLTensor *output, ICLTensor *sum, const SoftmaxKernelInfo &info);
     /** Static function to check if given info will lead to a valid configuration of @ref CLLogits1DMaxShiftExpSumKernel
      *
      * @param[in] input  Source tensor. Data types supported: F16/F32
@@ -217,7 +217,7 @@ public:
      * @param[out] output          Destination tensor. Data types supported: QASYMM8 for S32 @p input, or same as @p input
      * @param[in]  info            Contains information consumed by kernels for softmax described in @ref SoftmaxKernelInfo.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *sum, ICLTensor *output, const SoftmaxKernelInfo &info);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *sum, ICLTensor *output, const SoftmaxKernelInfo &info);
     /** Static function to check if given info will lead to a valid configuration of @ref CLLogits1DNormKernel
      *
      * @param[in] input  Source tensor. Data types supported: S32/F16/F32
diff --git a/arm_compute/core/CL/kernels/CLSpaceToBatchLayerKernel.h b/arm_compute/core/CL/kernels/CLSpaceToBatchLayerKernel.h
index 34f0b669c4..799b7b16c3 100644
--- a/arm_compute/core/CL/kernels/CLSpaceToBatchLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLSpaceToBatchLayerKernel.h
@@ -63,7 +63,7 @@ public:
      * @param[in]  paddings        2-D tensor with shape [2, 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, const ICLTensor *paddings, ICLTensor *output);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output);
     /** Initialise the kernel's input and output. (Static block shape and paddings)
      *
      * @param[in]  input         Tensor input. Supported tensor rank: 4. Data types supported: All.
@@ -84,7 +84,7 @@ public:
      * @param[in]  padding_right   The right padding of the output tensor.
      * @param[out] output          Tensor output. Data types supported: same as @p input
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, ICLTensor *output);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, ICLTensor *output);
     /** Static function to check if given info will lead to a valid configuration of @ref CLSpaceToBatchLayerKernel
      *
      * @param[in] input       Tensor input. Supported tensor rank: 4. Data types supported: All.
diff --git a/arm_compute/core/CL/kernels/CLSpaceToDepthLayerKernel.h b/arm_compute/core/CL/kernels/CLSpaceToDepthLayerKernel.h
index 3f20f665dd..f2371e7d87 100644
--- a/arm_compute/core/CL/kernels/CLSpaceToDepthLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLSpaceToDepthLayerKernel.h
@@ -61,7 +61,7 @@ public:
      * @param[out] output          Tensor output. Data types supported: same as @p input
      * @param[in]  block_shape     Block shape value.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, int32_t block_shape);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, int32_t block_shape);
     /** Static function to check if given info will lead to a valid configuration of @ref CLSpaceToDepthLayerKernel.
      *
      * @param[in] input       Tensor input info. Supported tensor rank: 4. Data types supported: All.
diff --git a/arm_compute/core/CL/kernels/CLStackLayerKernel.h b/arm_compute/core/CL/kernels/CLStackLayerKernel.h
index 19925c251d..e11c0a30d6 100644
--- a/arm_compute/core/CL/kernels/CLStackLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLStackLayerKernel.h
@@ -74,7 +74,7 @@ public:
      * @param[out] output          Output tensor. Data types supported: Same as @p input.
      *
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, unsigned int axis, unsigned int idx_input, unsigned int num_tensors, ICLTensor *output);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, unsigned int axis, unsigned int idx_input, unsigned int num_tensors, ICLTensor *output);
     /** Static function to check if given info will lead to a valid configuration of @ref CLStackLayerKernel
      *
      * @note Supported input tensor rank: up to 4
diff --git a/arm_compute/core/CL/kernels/CLStridedSliceKernel.h b/arm_compute/core/CL/kernels/CLStridedSliceKernel.h
index 2e668821bd..ebe1b38878 100644
--- a/arm_compute/core/CL/kernels/CLStridedSliceKernel.h
+++ b/arm_compute/core/CL/kernels/CLStridedSliceKernel.h
@@ -82,7 +82,7 @@ public:
      * @param[in]  shrink_axis_mask If the ith bit of shrink_axis_mask is set, it implies that the ith specification shrinks the dimensionality by 1.
      *                              A slice of size 1 starting from starts[i] in the dimension must be preserved.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output,
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output,
                    const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
                    int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask);
 
diff --git a/arm_compute/core/CL/kernels/CLTableLookupKernel.h b/arm_compute/core/CL/kernels/CLTableLookupKernel.h
index 9bbaf26d7a..24e333f164 100644
--- a/arm_compute/core/CL/kernels/CLTableLookupKernel.h
+++ b/arm_compute/core/CL/kernels/CLTableLookupKernel.h
@@ -49,7 +49,7 @@ public:
      * @param[in]  lut             The input LUT. Data types supported: U8, S16.
      * @param[out] output          The output tensor. Data types supported: U8, S16.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLLut *lut, ICLTensor *output);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLLut *lut, ICLTensor *output);
 };
 } // namespace arm_compute
 #endif /* ARM_COMPUTE_CLTABLELOOKUPKERNEL_H */
diff --git a/arm_compute/core/CL/kernels/CLThresholdKernel.h b/arm_compute/core/CL/kernels/CLThresholdKernel.h
index 79e9f01aa2..3db48706a3 100644
--- a/arm_compute/core/CL/kernels/CLThresholdKernel.h
+++ b/arm_compute/core/CL/kernels/CLThresholdKernel.h
@@ -62,7 +62,7 @@ public:
      * @param[in]  type            Thresholding type. Either RANGE or BINARY.
      * @param[in]  upper           Upper threshold. Only used when the thresholding type is RANGE.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, uint8_t threshold,
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, uint8_t threshold,
                    uint8_t false_value, uint8_t true_value, ThresholdType type, uint8_t upper);
 };
 } // namespace arm_compute
diff --git a/arm_compute/core/CL/kernels/CLTileKernel.h b/arm_compute/core/CL/kernels/CLTileKernel.h
index 1c9186c4dd..68f3c929a6 100644
--- a/arm_compute/core/CL/kernels/CLTileKernel.h
+++ b/arm_compute/core/CL/kernels/CLTileKernel.h
@@ -64,7 +64,7 @@ public:
      * @param[out] output          Destination tensor. Same as @p input
      *
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const Multiples &multiples);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const Multiples &multiples);
     /** Static function to check if given info will lead to a valid configuration of @ref CLTileKernel
      *
      * @param[in] input     Source tensor info. Data type supported: All.
diff --git a/arm_compute/core/CL/kernels/CLTransposeKernel.h b/arm_compute/core/CL/kernels/CLTransposeKernel.h
index 37bd716f3d..09c9e3babf 100644
--- a/arm_compute/core/CL/kernels/CLTransposeKernel.h
+++ b/arm_compute/core/CL/kernels/CLTransposeKernel.h
@@ -50,7 +50,7 @@ public:
      * @param[in]  input           Input tensor. Data types supported: All.
      * @param[out] output          Output tensor. Data type supported: Same as @p input
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output);
     /** Static function to check if given info will lead to a valid configuration of @ref CLTransposeKernel
      *
      * @param[in] input  Input tensor. Data types supported: All.
diff --git a/arm_compute/core/CL/kernels/CLUpsampleLayerKernel.h b/arm_compute/core/CL/kernels/CLUpsampleLayerKernel.h
index 556e5484d7..e6b4209501 100644
--- a/arm_compute/core/CL/kernels/CLUpsampleLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLUpsampleLayerKernel.h
@@ -63,7 +63,7 @@ public:
      * @param[in]  info              Contains stride information described in @ref Size2D.
      * @param[in]  upsampling_policy Defines the policy to fill the intermediate pixels.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const Size2D &info, const InterpolationPolicy upsampling_policy);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const Size2D &info, const InterpolationPolicy upsampling_policy);
     /** Static function to check if given info will lead to a valid configuration of @ref CLUpsampleLayerKernel
      *
      * @param[in] input             Source tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
diff --git a/arm_compute/core/CL/kernels/CLWarpAffineKernel.h b/arm_compute/core/CL/kernels/CLWarpAffineKernel.h
index bd26705ea4..a21325e1c4 100644
--- a/arm_compute/core/CL/kernels/CLWarpAffineKernel.h
+++ b/arm_compute/core/CL/kernels/CLWarpAffineKernel.h
@@ -53,7 +53,7 @@ public:
      *                             The matrix argument requires 9 values, the last 3 values are ignored.
      * @param[in]  policy          The interpolation type.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const std::array<float, 9> &matrix, InterpolationPolicy policy);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const std::array<float, 9> &matrix, InterpolationPolicy policy);
 
     // Inherited methods overridden:
     BorderSize border_size() const override;
diff --git a/arm_compute/core/CL/kernels/CLWarpPerspectiveKernel.h b/arm_compute/core/CL/kernels/CLWarpPerspectiveKernel.h
index 4f4ff34f1d..bb1a018a2b 100644
--- a/arm_compute/core/CL/kernels/CLWarpPerspectiveKernel.h
+++ b/arm_compute/core/CL/kernels/CLWarpPerspectiveKernel.h
@@ -50,7 +50,7 @@ public:
      * @param[in]  matrix          The perspective matrix. Must be 3x3 of type float.
      * @param[in]  policy          The interpolation type.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const std::array<float, 9> &matrix, InterpolationPolicy policy);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const std::array<float, 9> &matrix, InterpolationPolicy policy);
 
     // Inherited methods overridden:
     BorderSize border_size() const override;
diff --git a/arm_compute/core/CL/kernels/CLWeightsReshapeKernel.h b/arm_compute/core/CL/kernels/CLWeightsReshapeKernel.h
index f09eea958c..47e987b09b 100644
--- a/arm_compute/core/CL/kernels/CLWeightsReshapeKernel.h
+++ b/arm_compute/core/CL/kernels/CLWeightsReshapeKernel.h
@@ -92,7 +92,7 @@ public:
      * @param[in]  num_groups      (Optional) Number of groups when performing a grouped convolution. num_groups != 1 is only supported for NCHW data layout
      *                             Number of groups greater than one are only supported for NCHW data layout, and the number of weights must be a multiple of it.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *biases, ICLTensor *output, unsigned int num_groups = 1);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *biases, ICLTensor *output, unsigned int num_groups = 1);
     /** Static function to check if given info will lead to a valid configuration of @ref CLWeightsReshapeKernel
      *
      * @param[in] input      The input tensor to convert. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] if shared,
diff --git a/arm_compute/core/CL/kernels/CLWidthConcatenate2TensorsKernel.h b/arm_compute/core/CL/kernels/CLWidthConcatenate2TensorsKernel.h
index 50abf65983..a39ccc2869 100644
--- a/arm_compute/core/CL/kernels/CLWidthConcatenate2TensorsKernel.h
+++ b/arm_compute/core/CL/kernels/CLWidthConcatenate2TensorsKernel.h
@@ -64,7 +64,7 @@ public:
      * @param[in]  input2          Second input tensor. Data types supported: same as @p input1
      * @param[out] output          Output tensor. Data types supported: Same as @p input1.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output);
     /**  Static function to check if given info will lead to a valid configuration of @ref CLWidthConcatenate2TensorsKernel
      *
      * @param[in] input1 First tensor info. Data types supported: All.
diff --git a/arm_compute/core/CL/kernels/CLWidthConcatenate4TensorsKernel.h b/arm_compute/core/CL/kernels/CLWidthConcatenate4TensorsKernel.h
index f203602a12..0e0eae6e85 100644
--- a/arm_compute/core/CL/kernels/CLWidthConcatenate4TensorsKernel.h
+++ b/arm_compute/core/CL/kernels/CLWidthConcatenate4TensorsKernel.h
@@ -68,7 +68,7 @@ public:
      * @param[in]  input4          Fourth input tensor. Data types supported: same as @p input1
      * @param[out] output          Output tensor. Data types supported: Same as @p input1.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, const ICLTensor *input3, const ICLTensor *input4, ICLTensor *output);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, const ICLTensor *input3, const ICLTensor *input4, ICLTensor *output);
     /**  Static function to check if given info will lead to a valid configuration of @ref CLWidthConcatenate4TensorsKernel
      *
      * @param[in] input1 First tensor info. Data types supported: All.
diff --git a/arm_compute/core/CL/kernels/CLWidthConcatenateLayerKernel.h b/arm_compute/core/CL/kernels/CLWidthConcatenateLayerKernel.h
index 4564d774e3..ef5851fa9a 100644
--- a/arm_compute/core/CL/kernels/CLWidthConcatenateLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLWidthConcatenateLayerKernel.h
@@ -66,7 +66,7 @@ public:
      * @param[in,out] output          Output tensor. Data types supported: Same as @p input.
      *
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, unsigned int width_offset, ICLTensor *output);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, unsigned int width_offset, ICLTensor *output);
     /**  Static function to check if given info will lead to a valid configuration of @ref CLWidthConcatenateLayerKernel
      *
      * @param[in] input        Input tensor info. Data types supported: All.
diff --git a/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h b/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h
index bc7573dc9e..5b2dc8cfc9 100644
--- a/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h
+++ b/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h
@@ -82,7 +82,7 @@ public:
      * @param[out] output          The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_filter_transform_shape. Data types supported: Same as @p input
      * @param[in]  winograd_info   Contains Winograd's information described in @ref WinogradInfo
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const WinogradInfo &winograd_info);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const WinogradInfo &winograd_info);
     /** Static function to check if given info will lead to a valid configuration of @ref CLWinogradFilterTransformKernel
      *
      * @note Winograd filter transform supports the following configurations for NCWH data layout
diff --git a/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h b/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h
index 6bb8d6e616..a305126f2d 100644
--- a/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h
+++ b/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h
@@ -80,7 +80,7 @@ public:
      * @param[in] output          The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_input_transform_shape. Data types supported: Same as @p input
      * @param[in] winograd_info   Contains Winograd's information described in @ref WinogradInfo.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const WinogradInfo &winograd_info);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const WinogradInfo &winograd_info);
     /** Static function to check if given info will lead to a valid configuration of @ref CLWinogradInputTransformKernel
      *
      * @note Winograd input transform supports the following configurations for NCWH data layout
diff --git a/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h b/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h
index aab244bb90..512b352637 100644
--- a/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h
+++ b/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h
@@ -86,7 +86,7 @@ public:
      * @param[in]  winograd_info   Contains Winograd's information described in @ref WinogradInfo
      * @param[in]  act_info        (Optional) Activation layer information in case of a fused activation.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, const WinogradInfo &winograd_info,
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, const WinogradInfo &winograd_info,
                    const ActivationLayerInfo &act_info = ActivationLayerInfo());
 
     /** Static function to check if given info will lead to a valid configuration of @ref CLWinogradOutputTransformKernel
diff --git a/arm_compute/core/CL/kernels/CLYOLOLayerKernel.h b/arm_compute/core/CL/kernels/CLYOLOLayerKernel.h
index c03fc94f91..d0c4a9e417 100644
--- a/arm_compute/core/CL/kernels/CLYOLOLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLYOLOLayerKernel.h
@@ -73,7 +73,7 @@ public:
      * @param[in]      act_info        Activation layer information.
      * @param[in]      num_classes     Number of classes to activate (must be submultiple of @p input channels)
      */
-    void configure(CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const ActivationLayerInfo &act_info, int32_t num_classes);
+    void configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const ActivationLayerInfo &act_info, int32_t num_classes);
     /** Static function to check if given info will lead to a valid configuration of @ref CLYOLOLayerKernel
      *
      * @param[in] input       Source tensor info. In case of @p output tensor info = nullptr, this tensor will store the result