COMPMID-3280: Make all ML primitives for CL use the new interface - Part1 - Fix2

- const fix in the CLKernels part 2

Change-Id: Ia12845e291b4137cbaf76eb8438e381c4fd0368a
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3071
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>

108 files changed, 131 insertions, 131 deletions

diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.h
index d100efdcb7..15fd20842e 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.h
@@ -72,7 +72,7 @@ public:
      *                             rhs_info.k0: same as lhs_info.k0
      * @param[in]  gemm_info       GEMM information used to retrieve the original dimensions of the input matrices
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info,
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info,
                    const GEMMReshapeInfo &gemm_info);
     /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpMatrixMultiplyNativeKernel
      *
diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedKernel.h
index 9e3b198c8c..43526b7c41 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedKernel.h
@@ -83,7 +83,7 @@ public:
      *
      * @note lhs_info.k0 must be equal to rhs_info.k0
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info,
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info,
                    const GEMMReshapeInfo &gemm_info);
     /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpMatrixMultiplyReshapedKernel
      *
diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel.h
index 7beb5bb1c6..1aba6c0398 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel.h
@@ -100,7 +100,7 @@ public:
      * @param[in]  output_shifts      (Optional) Output shifts tensor. In case of per-channel quantization, the number of multipliers must be equal to the number of filters (OFM).
      *                                Supported data types: S32.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, const GEMMKernelInfo &gemm_info, const ICLTensor *vector_sum_col = nullptr,
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, const GEMMKernelInfo &gemm_info, const ICLTensor *vector_sum_col = nullptr,
                    const ICLTensor *vector_sum_row = nullptr, const ICLTensor *bias = nullptr, const ICLTensor *output_multipliers = nullptr, const ICLTensor *output_shifts = nullptr);
     /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel
      *
diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.h
index f9ec558d85..bc982c6120 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.h
@@ -84,7 +84,7 @@ public:
      * @param[in]      a_offset        Offset to be added to each element of the matrix A.
      * @param[in]      b_offset        Offset to be added to each element of the matrix B.
      */
-    void configure(CLCompileContext &compile_context, ICLTensor *mm_result, const ICLTensor *vector_sum_col, const ICLTensor *vector_sum_row, const ICLTensor *bias, int32_t k, int32_t a_offset,
+    void configure(const CLCompileContext &compile_context, ICLTensor *mm_result, const ICLTensor *vector_sum_col, const ICLTensor *vector_sum_row, const ICLTensor *bias, int32_t k, int32_t a_offset,
                    int32_t b_offset);
     /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpOffsetContributionKernel
      *
diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionOutputStageKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionOutputStageKernel.h
index 032539b699..583b388d45 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionOutputStageKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionOutputStageKernel.h
@@ -91,7 +91,7 @@ public:
      * @param[in]  output_shifts      Output shifts tensor. In case of per-channel quantization, the number of multipliers must be equal to the number of filters (OFM).
      *                                Supported data types: S32
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *mm_result, const ICLTensor *vector_sum_col, const ICLTensor *vector_sum_row, const ICLTensor *bias, ICLTensor *output, int32_t k,
+    void configure(const CLCompileContext &compile_context, const ICLTensor *mm_result, const ICLTensor *vector_sum_col, const ICLTensor *vector_sum_row, const ICLTensor *bias, ICLTensor *output, int32_t k,
                    int32_t a_offset, int32_t b_offset,
                    const GEMMLowpOutputStageInfo &output_stage, const ICLTensor *output_multipliers, const ICLTensor *output_shifts);
     /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpOffsetContributionKernel
diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel.h
index dd85d8a97c..1e9fde8376 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel.h
@@ -76,7 +76,7 @@ public:
      * @param[out] output          Output tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED
      * @param[in]  info            Output stage info. Used to pass the quantized output data type
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, const GEMMLowpOutputStageInfo *info);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, const GEMMLowpOutputStageInfo *info);
     /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel
      *
      * @param[in] input  Input tensor. Data type supported: S32
diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleKernel.h
index f36076dfa2..766ef9a820 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleKernel.h
@@ -76,7 +76,7 @@ public:
      * @param[out] output          Output tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED
      * @param[in]  output_stage    GEMMLowp output stage metadata.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, const GEMMLowpOutputStageInfo *output_stage);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, const GEMMLowpOutputStageInfo *output_stage);
     /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpQuantizeDownInt32ScaleKernel
      *
      * @param[in] input        Input tensor. Data type supported: S32
diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel.h
index 36cd7bf693..6f58150037 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel.h
@@ -81,7 +81,7 @@ public:
      * @param[in]  max                          (Optional) Max value used to saturate up the output result before converting back to QSYMM16.
      *                                          Along with @p min, this value can be used to implement "rectified linear unit" activation functions. Defaults to 0.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, int result_fixedpoint_multiplier, int result_shift, int min = 0, int max = 0);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, int result_fixedpoint_multiplier, int result_shift, int min = 0, int max = 0);
     /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel
      *
      * @param[in] input  Input tensor info. Data type supported: S32
diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel.h
index fd95e00d5d..0c237be34c 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel.h
@@ -84,7 +84,7 @@ public:
      * @param[in]  max                          (Optional) Max value used to saturate up the output result before converting back to QASYMM8_SIGNED. Defaults to 0
      *                                          Along with @p min, this value can be used to implement "rectified linear unit" activation functions
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, int result_fixedpoint_multiplier, int result_shift, int result_offset_after_shift,
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, int result_fixedpoint_multiplier, int result_shift, int result_offset_after_shift,
                    int min = 0, int max = 0);
     /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel
      *
diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.h
index 1714a02f76..cb3e12e34d 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.h
@@ -84,7 +84,7 @@ public:
      * @param[in]  max                          (Optional) Max value used to saturate up the output result before converting back to QASYMM8,
      *                                          Along with @p min, this value can be used to implement "rectified linear unit" activation functions
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, int result_fixedpoint_multiplier, int result_shift, int result_offset_after_shift,
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, int result_fixedpoint_multiplier, int result_shift, int result_offset_after_shift,
                    int min = 0, int max = 0);
     /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel
      *
diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h
index 4b610fa6d0..857b1c7952 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h
@@ -68,7 +68,7 @@ public:
      *                             - scalar       Scalar value to multiply each reduced column/row by.
      *                             - mul_byscalar True if each reduced column/row must be multiplied by a scalar value.
      */
-    virtual void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const GEMMLowpReductionKernelInfo &info) = 0;
+    virtual void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const GEMMLowpReductionKernelInfo &info) = 0;
 
 protected:
     const ICLTensor *_input;
@@ -105,7 +105,7 @@ public:
      *                             - scalar       Scalar value to multiply each reduced column/row by.
      *                             - mul_byscalar True if each reduced column/row must be multiplied by a scalar value.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *mtx_a, ICLTensor *vector_sum_row, const GEMMLowpReductionKernelInfo &info) override;
+    void configure(const CLCompileContext &compile_context, const ICLTensor *mtx_a, ICLTensor *vector_sum_row, const GEMMLowpReductionKernelInfo &info) override;
     /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpMatrixAReductionKernel
      *
      * @param[in] mtx_a          Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED
@@ -154,7 +154,7 @@ public:
      *                             - scalar       Scalar value to multiply each reduced column/row by.
      *                             - mul_byscalar True if each reduced column/row must be multiplied by a scalar value.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *mtx_b, ICLTensor *vector_sum_col, const GEMMLowpReductionKernelInfo &info) override;
+    void configure(const CLCompileContext &compile_context, const ICLTensor *mtx_b, ICLTensor *vector_sum_col, const GEMMLowpReductionKernelInfo &info) override;
     /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpMatrixBReductionKernel
      *
      * @param[in] mtx_b          Input tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED
diff --git a/arm_compute/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.h b/arm_compute/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.h
index 037ec4d116..df2f6f4ad1 100644
--- a/arm_compute/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.h
@@ -56,7 +56,7 @@ public:
      * @param[in, out] accum           The accumulate tensor to convert. Data types supported: F16/F32
      * @param[in]      biases          The shared biases tensor to append. It must be 1D tensor. Data types supported: Same as @p input
      */
-    void configure(CLCompileContext &compile_context, ICLTensor *accum, const ICLTensor *biases);
+    void configure(const CLCompileContext &compile_context, ICLTensor *accum, const ICLTensor *biases);
     /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMMatrixAccumulateBiasesKernel
      *
      * @param[in] accum      The accumulate tensor to convert. Data types supported: F16/F32
diff --git a/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h b/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h
index fe34735fe4..6085b34bcb 100644
--- a/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h
@@ -83,7 +83,7 @@ public:
      * @param[in]  activation_info           (Optional) Activation to apply after the matrix multiplication
      *
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, float alpha, float beta = 0.f,
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, float alpha, float beta = 0.f,
                    bool is_interleaved_transposed = true, const GEMMReshapeInfo &reshape_info = GEMMReshapeInfo(), bool fp_mixed_precision = false, const ActivationLayerInfo &activation_info = ActivationLayerInfo());
     /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMMatrixMultiplyKernel
      *
diff --git a/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyNativeKernel.h b/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyNativeKernel.h
index 370ef8b3c8..c711a3d1f9 100644
--- a/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyNativeKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyNativeKernel.h
@@ -82,7 +82,7 @@ public:
      *                             rhs_info.k0: same of lhs_info.k0
      * @param[in]  gemm_info       GEMM information used to retrieve the original dimensions of the input matrices
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, float alpha, float beta,
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, float alpha, float beta,
                    const GEMMLHSMatrixInfo &lhs_info,
                    const GEMMRHSMatrixInfo &rhs_info,
                    const GEMMKernelInfo    &gemm_info);
diff --git a/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.h b/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.h
index 45df67673c..ee8e57fa8c 100644
--- a/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.h
@@ -101,7 +101,7 @@ public:
      *
      * @note lhs_info.k0 must be equal to rhs_info.k0
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, float alpha, float beta,
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, float alpha, float beta,
                    const GEMMLHSMatrixInfo &lhs_info,
                    const GEMMRHSMatrixInfo &rhs_info,
                    const GEMMKernelInfo    &gemm_info);
diff --git a/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.h b/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.h
index b6285dd4db..f7d314a039 100644
--- a/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.h
@@ -85,7 +85,7 @@ public:
      *                             rhs_info.transpose: true,false
      * @param[in]  gemm_info       GEMM information used to retrieve the original dimensions of the input matrices
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, float alpha, float beta,
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, float alpha, float beta,
                    const GEMMLHSMatrixInfo &lhs_info,
                    const GEMMRHSMatrixInfo &rhs_info,
                    const GEMMKernelInfo    &gemm_info);
diff --git a/arm_compute/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.h b/arm_compute/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.h
index f31c5c2280..6d70b4b0c2 100644
--- a/arm_compute/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.h
@@ -58,7 +58,7 @@ public:
      * @param[in]  input1          The 2D reshaped weights tensor. Data type supported: Same as @p input.
      * @param[out] output          The output 2D tensor. Data types supported: Same as @p input, S32 for QASYMM8/QASYMM8_SIGNED.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output);
     /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMMatrixVectorMultiplyKernel
      *
      * @param[in] input0 The reshaped input tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32
diff --git a/arm_compute/core/CL/kernels/CLGEMMReshapeLHSMatrixKernel.h b/arm_compute/core/CL/kernels/CLGEMMReshapeLHSMatrixKernel.h
index e8e02ac281..fe77fcb428 100644
--- a/arm_compute/core/CL/kernels/CLGEMMReshapeLHSMatrixKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMReshapeLHSMatrixKernel.h
@@ -75,7 +75,7 @@ public:
      *                                     lhs_info.interleave: true, false
      * @param[in]  reinterpret_input_as_3d (Optional) True if the input has to be reinterpreted as 3D tensor
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const GEMMLHSMatrixInfo &lhs_info, bool reinterpret_input_as_3d = false);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const GEMMLHSMatrixInfo &lhs_info, bool reinterpret_input_as_3d = false);
     /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMReshapeLHSMatrixKernel
      *
      * @param[in] input                   Input tensor info. Data types supported: All
diff --git a/arm_compute/core/CL/kernels/CLGEMMReshapeRHSMatrixKernel.h b/arm_compute/core/CL/kernels/CLGEMMReshapeRHSMatrixKernel.h
index ada8889ac0..0e6352bdbb 100644
--- a/arm_compute/core/CL/kernels/CLGEMMReshapeRHSMatrixKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMReshapeRHSMatrixKernel.h
@@ -72,7 +72,7 @@ public:
      *                             rhs_info.transpose: true, false
      *                             rhs_info.interleave: true, false
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const GEMMRHSMatrixInfo &rhs_info);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const GEMMRHSMatrixInfo &rhs_info);
     /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMReshapeRHSMatrixKernel
      *
      * @param[in] input    Input tensor info. Data types supported: All
diff --git a/arm_compute/core/CL/kernels/CLGatherKernel.h b/arm_compute/core/CL/kernels/CLGatherKernel.h
index c91b95de89..b7539536e9 100644
--- a/arm_compute/core/CL/kernels/CLGatherKernel.h
+++ b/arm_compute/core/CL/kernels/CLGatherKernel.h
@@ -63,7 +63,7 @@ public:
      * @param[out] output          Destination tensor. Data type supported: Same as @p input
      * @param[in]  axis            (Optional) The axis in @p input to gather @p indices from. Negative values wrap around. Defaults to 0
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *indices, ICLTensor *output, int axis = 0);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *indices, ICLTensor *output, int axis = 0);
 
     /** Static function to check if given info will lead to a valid configuration of @ref CLGatherKernel
      *
diff --git a/arm_compute/core/CL/kernels/CLGaussian3x3Kernel.h b/arm_compute/core/CL/kernels/CLGaussian3x3Kernel.h
index 7eb7f7ae89..6a9d3eaa4d 100644
--- a/arm_compute/core/CL/kernels/CLGaussian3x3Kernel.h
+++ b/arm_compute/core/CL/kernels/CLGaussian3x3Kernel.h
@@ -50,7 +50,7 @@ public:
      * @param[out] output           The output tensor. Data types supported: U8.
      * @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, bool border_undefined);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, bool border_undefined);
 
     // Inherited methods overridden:
     BorderSize border_size() const override;
diff --git a/arm_compute/core/CL/kernels/CLGaussian5x5Kernel.h b/arm_compute/core/CL/kernels/CLGaussian5x5Kernel.h
index 37a7727d7a..d8730e0c92 100644
--- a/arm_compute/core/CL/kernels/CLGaussian5x5Kernel.h
+++ b/arm_compute/core/CL/kernels/CLGaussian5x5Kernel.h
@@ -48,7 +48,7 @@ public:
      * @param[out] output           Destination tensor. 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, bool border_undefined);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, bool border_undefined);
 
 private:
     //Make the configure method of the parent class private
@@ -73,7 +73,7 @@ public:
      * @param[out] output           Destination tensor. Data types supported: U8.
      * @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, bool border_undefined);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, bool border_undefined);
 
 private:
     //Make the configure method of the parent class private
diff --git a/arm_compute/core/CL/kernels/CLGaussianPyramidKernel.h b/arm_compute/core/CL/kernels/CLGaussianPyramidKernel.h
index 5acd7fd9b6..34cd062dae 100644
--- a/arm_compute/core/CL/kernels/CLGaussianPyramidKernel.h
+++ b/arm_compute/core/CL/kernels/CLGaussianPyramidKernel.h
@@ -59,7 +59,7 @@ public:
      * @param[in]  input           Source tensor. Data types supported: U8.
      * @param[out] output          Destination tensor. Output should have half the input width. Data types supported: U16.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
@@ -98,7 +98,7 @@ public:
      * @param[in]  input           Source tensor. Data types supported: U16.
      * @param[out] output          Destination tensor. Output should have half the input height. Data types supported: U8.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLGenerateProposalsLayerKernel.h b/arm_compute/core/CL/kernels/CLGenerateProposalsLayerKernel.h
index abac4b74fe..46dc16d6d5 100644
--- a/arm_compute/core/CL/kernels/CLGenerateProposalsLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLGenerateProposalsLayerKernel.h
@@ -62,7 +62,7 @@ public:
      * @param[in]  info            Contains Compute Anchors operation information described in @ref ComputeAnchorsInfo
      *
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *anchors, ICLTensor *all_anchors, const ComputeAnchorsInfo &info);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *anchors, ICLTensor *all_anchors, const ComputeAnchorsInfo &info);
 
     /** Static function to check if given info will lead to a valid configuration of @ref CLComputeAllAnchorsKernel
      *
diff --git a/arm_compute/core/CL/kernels/CLHOGDescriptorKernel.h b/arm_compute/core/CL/kernels/CLHOGDescriptorKernel.h
index 1b1610e328..046950551d 100644
--- a/arm_compute/core/CL/kernels/CLHOGDescriptorKernel.h
+++ b/arm_compute/core/CL/kernels/CLHOGDescriptorKernel.h
@@ -65,7 +65,7 @@ public:
      * @param[out] output          Output tensor which stores the local HOG for each cell. DataType supported: F32. Number of channels supported: equal to the number of histogram bins per cell
      * @param[in]  hog_info        HOG's metadata
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input_magnitude, const ICLTensor *input_phase, ICLTensor *output, const HOGInfo *hog_info);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input_magnitude, const ICLTensor *input_phase, ICLTensor *output, const HOGInfo *hog_info);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
@@ -108,7 +108,7 @@ public:
      * @param[out] output          Output tensor which stores the normalised blocks. Data type supported: F32. Number of channels supported: equal to the number of histogram bins per block
      * @param[in]  hog_info        HOG's metadata
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const HOGInfo *hog_info);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const HOGInfo *hog_info);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLHOGDetectorKernel.h b/arm_compute/core/CL/kernels/CLHOGDetectorKernel.h
index 8a326429a2..681c212cc5 100644
--- a/arm_compute/core/CL/kernels/CLHOGDetectorKernel.h
+++ b/arm_compute/core/CL/kernels/CLHOGDetectorKernel.h
@@ -80,7 +80,7 @@ public:
      * @param[in]  threshold               (Optional) Threshold for the distance between features and SVM classifying plane
      * @param[in]  idx_class               (Optional) Index of the class used for evaluating which class the detection window belongs to
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLHOG *hog, ICLDetectionWindowArray *detection_windows, cl::Buffer *num_detection_windows,
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLHOG *hog, ICLDetectionWindowArray *detection_windows, cl::Buffer *num_detection_windows,
                    const Size2D &detection_window_stride, float threshold = 0.0f,
                    uint16_t idx_class = 0);
 
diff --git a/arm_compute/core/CL/kernels/CLHarrisCornersKernel.h b/arm_compute/core/CL/kernels/CLHarrisCornersKernel.h
index ed91aafb5e..a13119b82c 100644
--- a/arm_compute/core/CL/kernels/CLHarrisCornersKernel.h
+++ b/arm_compute/core/CL/kernels/CLHarrisCornersKernel.h
@@ -79,7 +79,7 @@ public:
      * @param[in]  sensitivity      Sensitivity threshold k from the Harris-Stephens equation.
      * @param[in]  border_undefined True if the border mode is undefined. False if it's replicate or constant.
      */
-    void configure(CLCompileContext &compile_context, const ICLImage *input1, const ICLImage *input2, ICLImage *output,
+    void configure(const CLCompileContext &compile_context, const ICLImage *input1, const ICLImage *input2, ICLImage *output,
                    int32_t block_size, float norm_factor, float strength_thresh, float sensitivity,
                    bool border_undefined);
 
diff --git a/arm_compute/core/CL/kernels/CLHeightConcatenateLayerKernel.h b/arm_compute/core/CL/kernels/CLHeightConcatenateLayerKernel.h
index b9589593fa..524e5ea997 100644
--- a/arm_compute/core/CL/kernels/CLHeightConcatenateLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLHeightConcatenateLayerKernel.h
@@ -66,7 +66,7 @@ public:
      * @param[out] output          Output tensor. Data types supported: Same as @p input.
      *
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, unsigned int height_offset, ICLTensor *output);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, unsigned int height_offset, ICLTensor *output);
     /**  Static function to check if given info will lead to a valid configuration of @ref CLHeightConcatenateLayerKernel
      *
      * @param[in] input         Input tensor info. Data types supported: All.
diff --git a/arm_compute/core/CL/kernels/CLHistogramKernel.h b/arm_compute/core/CL/kernels/CLHistogramKernel.h
index bb0d0b3c3c..9cd374711b 100644
--- a/arm_compute/core/CL/kernels/CLHistogramKernel.h
+++ b/arm_compute/core/CL/kernels/CLHistogramKernel.h
@@ -60,7 +60,7 @@ public:
      * @param[in]  input           Source image. Data types supported: U8.
      * @param[out] output          Destination distribution.
      */
-    void configure(CLCompileContext &compile_context, const ICLImage *input, ICLDistribution1D *output);
+    void configure(const CLCompileContext &compile_context, const ICLImage *input, ICLDistribution1D *output);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
@@ -98,7 +98,7 @@ public:
      * @param[in]  input           Source image. Data types supported: U8.
      * @param[out] output          Destination distribution.
      */
-    void configure(CLCompileContext &compile_context, const ICLImage *input, ICLDistribution1D *output);
+    void configure(const CLCompileContext &compile_context, const ICLImage *input, ICLDistribution1D *output);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLIm2ColKernel.h b/arm_compute/core/CL/kernels/CLIm2ColKernel.h
index dddbf8d9dd..1ccac5b7e9 100644
--- a/arm_compute/core/CL/kernels/CLIm2ColKernel.h
+++ b/arm_compute/core/CL/kernels/CLIm2ColKernel.h
@@ -93,7 +93,7 @@ public:
      * @param[in]  dilation        (Optional) Dilation, in elements, across x and y. Defaults to (1, 1).
      * @param[in]  num_groups      (Optional) Number of groups when performing a grouped convolution. num_groups != 1 is only supported for NCHW data layout
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias,
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias,
                    const Size2D &dilation   = Size2D(1U, 1U),
                    unsigned int  num_groups = 1);
     /** Static function to check if given info will lead to a valid configuration of @ref CLIm2ColKernel
diff --git a/arm_compute/core/CL/kernels/CLInstanceNormalizationLayerKernel.h b/arm_compute/core/CL/kernels/CLInstanceNormalizationLayerKernel.h
index 93490d8e12..014dce1759 100644
--- a/arm_compute/core/CL/kernels/CLInstanceNormalizationLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLInstanceNormalizationLayerKernel.h
@@ -66,7 +66,7 @@ public:
      * @param[out]     output          Destination tensor. Data types and data layouts supported: same as @p input.
      * @param[in]      info            Kernel meta-data descriptor
      */
-    void configure(CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const InstanceNormalizationLayerKernelInfo &info);
+    void configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const InstanceNormalizationLayerKernelInfo &info);
 
     /** Static function to check if given info will lead to a valid configuration of @ref CLInstanceNormalizationLayer.
      *
diff --git a/arm_compute/core/CL/kernels/CLIntegralImageKernel.h b/arm_compute/core/CL/kernels/CLIntegralImageKernel.h
index 8e06887dba..6b6076a917 100644
--- a/arm_compute/core/CL/kernels/CLIntegralImageKernel.h
+++ b/arm_compute/core/CL/kernels/CLIntegralImageKernel.h
@@ -47,7 +47,7 @@ public:
      * @param[in]  input           An input tensor. Data types supported: U8
      * @param[out] output          Destination tensor, Data types supported: U32.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output);
 };
 
 /** Interface to run the vertical pass of the integral image kernel. */
@@ -74,7 +74,7 @@ public:
      * @param[in]     compile_context The compile context to be used.
      * @param[in,out] in_out          The input/output tensor. Data types supported: U32
      */
-    void configure(CLCompileContext &compile_context, ICLTensor *in_out);
+    void configure(const CLCompileContext &compile_context, ICLTensor *in_out);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLL2NormalizeLayerKernel.h b/arm_compute/core/CL/kernels/CLL2NormalizeLayerKernel.h
index e4b7af7984..169910b70d 100644
--- a/arm_compute/core/CL/kernels/CLL2NormalizeLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLL2NormalizeLayerKernel.h
@@ -70,7 +70,7 @@ public:
      * @param[in]  axis            Axis along which to reduce. Negative values wrap around. Maximum supported actual reduction axis : 2
      * @param[in]  epsilon         Lower bound value for the normalization.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *sum, ICLTensor *output, int axis, float epsilon);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *sum, ICLTensor *output, int axis, float epsilon);
 
     /** Static function to check if given info will lead to a valid configuration of @ref CLL2NormalizeLayerKernel.
      *
diff --git a/arm_compute/core/CL/kernels/CLLKTrackerKernel.h b/arm_compute/core/CL/kernels/CLLKTrackerKernel.h
index 3e938c9658..f94602c381 100644
--- a/arm_compute/core/CL/kernels/CLLKTrackerKernel.h
+++ b/arm_compute/core/CL/kernels/CLLKTrackerKernel.h
@@ -99,7 +99,7 @@ public:
      * @param[in]  num_levels           The number of pyramid levels
      * @param[in]  pyramid_scale        Scale factor used for generating the pyramid
      */
-    void configure(CLCompileContext &compile_context, const ICLKeyPointArray *old_points, const ICLKeyPointArray *new_points_estimates,
+    void configure(const CLCompileContext &compile_context, const ICLKeyPointArray *old_points, const ICLKeyPointArray *new_points_estimates,
                    ICLLKInternalKeypointArray *old_points_internal, ICLLKInternalKeypointArray *new_points_internal,
                    bool use_initial_estimate, size_t level, size_t num_levels, float pyramid_scale);
 
@@ -123,7 +123,7 @@ public:
      * @param[in]  new_points_internal Pointer to the array of internal @ref CLLKInternalKeypoint new points
      * @param[out] new_points          Pointer to the @ref ICLKeyPointArray storing new key points
      */
-    void configure(CLCompileContext &compile_context, ICLLKInternalKeypointArray *new_points_internal, ICLKeyPointArray *new_points);
+    void configure(const CLCompileContext &compile_context, ICLLKInternalKeypointArray *new_points_internal, ICLKeyPointArray *new_points);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
@@ -172,7 +172,7 @@ public:
      * @param[in]      window_dimension    The size of the window on which to perform the algorithm
      * @param[in]      level               The pyramid level
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *old_input, const ICLTensor *old_scharr_gx, const ICLTensor *old_scharr_gy,
+    void configure(const CLCompileContext &compile_context, const ICLTensor *old_input, const ICLTensor *old_scharr_gx, const ICLTensor *old_scharr_gy,
                    ICLLKInternalKeypointArray *old_points_internal, ICLLKInternalKeypointArray *new_points_internal,
                    ICLCoefficientTableArray *coeff_table, ICLOldValArray *old_ival,
                    size_t window_dimension, size_t level);
@@ -227,7 +227,7 @@ public:
      * @param[in]      window_dimension    The size of the window on which to perform the algorithm
      * @param[in]      level               The pyramid level
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *new_input, ICLLKInternalKeypointArray *new_points_internal, ICLCoefficientTableArray *coeff_table, ICLOldValArray *old_ival,
+    void configure(const CLCompileContext &compile_context, const ICLTensor *new_input, ICLLKInternalKeypointArray *new_points_internal, ICLCoefficientTableArray *coeff_table, ICLOldValArray *old_ival,
                    Termination termination, float epsilon, size_t num_iterations, size_t window_dimension, size_t level);
 
     // Inherited methods overridden:
diff --git a/arm_compute/core/CL/kernels/CLLocallyConnectedMatrixMultiplyKernel.h b/arm_compute/core/CL/kernels/CLLocallyConnectedMatrixMultiplyKernel.h
index 757e3e4f86..e68160f96d 100644
--- a/arm_compute/core/CL/kernels/CLLocallyConnectedMatrixMultiplyKernel.h
+++ b/arm_compute/core/CL/kernels/CLLocallyConnectedMatrixMultiplyKernel.h
@@ -62,7 +62,7 @@ public:
      * @param[in]  input1          Second input tensor. Data type supported: same as @p input0
      * @param[out] output          Output tensor to store the result. Data type supported: same as @p input0
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output);
     /** Static function to check if given info will lead to a valid configuration of @ref CLLocallyConnectedMatrixMultiplyKernel
      *
      * @param[in] input0 First input tensor info. Data types supported: F32
diff --git a/arm_compute/core/CL/kernels/CLMagnitudePhaseKernel.h b/arm_compute/core/CL/kernels/CLMagnitudePhaseKernel.h
index 390da4958d..e0de3e7636 100644
--- a/arm_compute/core/CL/kernels/CLMagnitudePhaseKernel.h
+++ b/arm_compute/core/CL/kernels/CLMagnitudePhaseKernel.h
@@ -72,7 +72,7 @@ public:
      * @param[in]  mag_type        (Optional) Magnitude calculation type. Default: L2NORM.
      * @param[in]  phase_type      (Optional) Phase calculation type. Default: SIGNED.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *gx, const ICLTensor *gy, ICLTensor *magnitude, ICLTensor *phase,
+    void configure(const CLCompileContext &compile_context, const ICLTensor *gx, const ICLTensor *gy, ICLTensor *magnitude, ICLTensor *phase,
                    MagnitudeType mag_type = MagnitudeType::L2NORM, PhaseType phase_type = PhaseType::SIGNED);
 
     // Inherited methods overridden:
diff --git a/arm_compute/core/CL/kernels/CLMeanStdDevKernel.h b/arm_compute/core/CL/kernels/CLMeanStdDevKernel.h
index ed0213abcc..96b4c4ea60 100644
--- a/arm_compute/core/CL/kernels/CLMeanStdDevKernel.h
+++ b/arm_compute/core/CL/kernels/CLMeanStdDevKernel.h
@@ -68,7 +68,7 @@ public:
      * @param[out] stddev             (Optional) Output standard deviation of pixel values.
      * @param[out] global_sum_squared (Optional if stddev is not set, required if stddev is set) Keeps global sum of squared pixel values (Buffer size: 1 cl_ulong).
      */
-    void configure(CLCompileContext &compile_context, const ICLImage *input, float *mean, cl::Buffer *global_sum, float *stddev = nullptr, cl::Buffer *global_sum_squared = nullptr);
+    void configure(const CLCompileContext &compile_context, const ICLImage *input, float *mean, cl::Buffer *global_sum, float *stddev = nullptr, cl::Buffer *global_sum_squared = nullptr);
     /** Static function to check if given info will lead to a valid configuration of @ref CLMeanStdDevKernel.
      *
      * @param[in] input              Input image info. Data types supported: U8.
diff --git a/arm_compute/core/CL/kernels/CLMeanStdDevNormalizationKernel.h b/arm_compute/core/CL/kernels/CLMeanStdDevNormalizationKernel.h
index a21a6eed73..ff0c96e168 100644
--- a/arm_compute/core/CL/kernels/CLMeanStdDevNormalizationKernel.h
+++ b/arm_compute/core/CL/kernels/CLMeanStdDevNormalizationKernel.h
@@ -66,7 +66,7 @@ public:
      * @param[out]     output          (Optional) Destination tensor. It can be nullptr in case of in-place computation. Data type supported: same as @p input
      * @param[in]      epsilon         (Optional) Small float to avoid division by zero in case of zero standard deviation. Defaults to 1e-8.
      */
-    void configure(CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output = nullptr, float epsilon = 1e-8f);
+    void configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output = nullptr, float epsilon = 1e-8f);
     /** Static function to check if given info will lead to a valid configuration of @ref CLMeanStdDevNormalizationKernel
      *
      * @param[in] input   Source tensor info with 2 dimensions. In case of @p output tensor info = nullptr,
diff --git a/arm_compute/core/CL/kernels/CLMedian3x3Kernel.h b/arm_compute/core/CL/kernels/CLMedian3x3Kernel.h
index df40fcf7e9..c68ab07781 100644
--- a/arm_compute/core/CL/kernels/CLMedian3x3Kernel.h
+++ b/arm_compute/core/CL/kernels/CLMedian3x3Kernel.h
@@ -50,7 +50,7 @@ public:
      * @param[out] output           The output tensor. Data types supported: U8.
      * @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, bool border_undefined);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, bool border_undefined);
 
     // Inherited methods overridden:
     BorderSize border_size() const override;
diff --git a/arm_compute/core/CL/kernels/CLMemsetKernel.h b/arm_compute/core/CL/kernels/CLMemsetKernel.h
index a2e61a1782..430bc1d4f2 100644
--- a/arm_compute/core/CL/kernels/CLMemsetKernel.h
+++ b/arm_compute/core/CL/kernels/CLMemsetKernel.h
@@ -63,7 +63,7 @@ public:
      * @param[in]     constant_value  The value used to fill the planes of the tensor
      * @param[in]     window          Window to be used in case setting only part of a tensor. Default is nullptr.
      */
-    void configure(CLCompileContext &compile_context, ICLTensor *tensor, const PixelValue &constant_value, Window *window = nullptr);
+    void configure(const CLCompileContext &compile_context, ICLTensor *tensor, const PixelValue &constant_value, Window *window = nullptr);
     /** Static function to check if given info will lead to a valid configuration of @ref CLMemsetKernel
      *
      * @param[in] tensor         Source tensor info. Data types supported: All.
diff --git a/arm_compute/core/CL/kernels/CLMinMaxLayerKernel.h b/arm_compute/core/CL/kernels/CLMinMaxLayerKernel.h
index 7a31d71553..5f9685f303 100644
--- a/arm_compute/core/CL/kernels/CLMinMaxLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLMinMaxLayerKernel.h
@@ -59,7 +59,7 @@ public:
      * @param[out] output          Output tensor with shape [2, batches, ...] which stores the minimum and maximum values for each 3D input tensor.
      *                    The dimensions over the second must match the batched dimensions of the input tensor. Data types supported: F32.
      */
-    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 CLMinMaxLayerKernel
      *
      * @param[in] input  Input tensor info.  Data types supported: F32.
diff --git a/arm_compute/core/CL/kernels/CLMinMaxLocationKernel.h b/arm_compute/core/CL/kernels/CLMinMaxLocationKernel.h
index e57f7587fa..afb134fa59 100644
--- a/arm_compute/core/CL/kernels/CLMinMaxLocationKernel.h
+++ b/arm_compute/core/CL/kernels/CLMinMaxLocationKernel.h
@@ -61,7 +61,7 @@ public:
      * @param[in]  input           Input Image. Data types supported: U8/S16/F32.
      * @param[out] min_max         Buffer of 2 elements to store the min value at position 0 and the max value at position 1. Data type supported: S32 if input type is U8/S16, F32 if input type is F32.
      */
-    void configure(CLCompileContext &compile_context, const ICLImage *input, cl::Buffer *min_max);
+    void configure(const CLCompileContext &compile_context, const ICLImage *input, cl::Buffer *min_max);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
@@ -110,7 +110,7 @@ public:
      * @param[out] min_loc         (Optional) Array of Coordinates2D used to store minimum value locations.
      * @param[out] max_loc         (Optional) Array of Coordinates2D used to store maximum value locations.
      */
-    void configure(CLCompileContext &compile_context, const ICLImage *input, cl::Buffer *min_max, cl::Buffer *min_max_count,
+    void configure(const CLCompileContext &compile_context, const ICLImage *input, cl::Buffer *min_max, cl::Buffer *min_max_count,
                    ICLCoordinates2DArray *min_loc = nullptr, ICLCoordinates2DArray *max_loc = nullptr);
 
     // Inherited methods overridden:
diff --git a/arm_compute/core/CL/kernels/CLNonLinearFilterKernel.h b/arm_compute/core/CL/kernels/CLNonLinearFilterKernel.h
index b255f0cb90..1f337356e9 100644
--- a/arm_compute/core/CL/kernels/CLNonLinearFilterKernel.h
+++ b/arm_compute/core/CL/kernels/CLNonLinearFilterKernel.h
@@ -63,7 +63,7 @@ public:
      * @param[in]  mask             The given mask. Will be used only if pattern is specified to PATTERN_OTHER
      * @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, NonLinearFilterFunction function,
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, NonLinearFilterFunction function,
                    unsigned int mask_size, MatrixPattern pattern, const uint8_t *mask,
                    bool border_undefined);
 
diff --git a/arm_compute/core/CL/kernels/CLNonMaximaSuppression3x3Kernel.h b/arm_compute/core/CL/kernels/CLNonMaximaSuppression3x3Kernel.h
index 084c77bf26..a256bc798d 100644
--- a/arm_compute/core/CL/kernels/CLNonMaximaSuppression3x3Kernel.h
+++ b/arm_compute/core/CL/kernels/CLNonMaximaSuppression3x3Kernel.h
@@ -51,7 +51,7 @@ public:
      * @param[out] output           Destination tensor. Data types supported: U8, F32. (Must be the same as the input tensor)
      * @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, bool border_undefined);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, bool border_undefined);
 
     // Inherited methods overridden:
     BorderSize border_size() const override;
diff --git a/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h b/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h
index 350b504d50..2511818ef2 100644
--- a/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h
@@ -63,7 +63,7 @@ public:
      *                             Data layouts supported: same as @p input.
      * @param[in]  norm_info       Normalization layer information like the normalization type, normalization size and other parameters.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, NormalizationLayerInfo norm_info);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, NormalizationLayerInfo norm_info);
     /** Static function to check if given info will lead to a valid configuration of @ref CLNormalizationLayerKernel
      *
      * @param[in] input     Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM],
diff --git a/arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h b/arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h
index addd3942eb..d247e1fddc 100644
--- a/arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h
@@ -67,7 +67,7 @@ public:
      * @param[in]  std             Standard deviation values tensor. 1 dimension with size equal to the number of input channels.
      *                             Data types supported: same as @p input
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const ICLTensor *mean, const ICLTensor *std);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const ICLTensor *mean, const ICLTensor *std);
     /** Static function to check if given info will lead to a valid configuration of @ref CLNormalizePlanarYUVLayerKernel
      *
      * @param[in]  input  Source tensor info. 3 lower dimensions represent a single input with dimensions [width, height, channels].
diff --git a/arm_compute/core/CL/kernels/CLPadLayerKernel.h b/arm_compute/core/CL/kernels/CLPadLayerKernel.h
index 09f72088c4..f051774d84 100644
--- a/arm_compute/core/CL/kernels/CLPadLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLPadLayerKernel.h
@@ -69,7 +69,7 @@ public:
      * @param[in]  mode            (Optional) Controls whether the padding should be filled with @p constant_value using CONSTANT,
      *                             or reflect the input, either including the border values (SYMMETRIC) or not (REFLECT).
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const PaddingList &padding, PixelValue constant_value = PixelValue(),
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const PaddingList &padding, PixelValue constant_value = PixelValue(),
                    PaddingMode mode = PaddingMode::CONSTANT);
     /** Static function to check if given info will lead to a valid configuration of @ref CLPadLayerKernel
      *
diff --git a/arm_compute/core/CL/kernels/CLPermuteKernel.h b/arm_compute/core/CL/kernels/CLPermuteKernel.h
index 6414edb113..1a9240ef6b 100644
--- a/arm_compute/core/CL/kernels/CLPermuteKernel.h
+++ b/arm_compute/core/CL/kernels/CLPermuteKernel.h
@@ -65,7 +65,7 @@ public:
      * @param[in] output          The output tensor. Data types supported: Same as @p input
      * @param[in] perm            Permutation vector
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const PermutationVector &perm);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const PermutationVector &perm);
     /** Static function to check if given info will lead to a valid configuration of @ref CLPermuteKernel
      *
      * @note Arbitrary permutation vectors are supported with rank not greater than 4
diff --git a/arm_compute/core/CL/kernels/CLPixelWiseMultiplicationKernel.h b/arm_compute/core/CL/kernels/CLPixelWiseMultiplicationKernel.h
index a9cfcc57de..52a09d9a49 100644
--- a/arm_compute/core/CL/kernels/CLPixelWiseMultiplicationKernel.h
+++ b/arm_compute/core/CL/kernels/CLPixelWiseMultiplicationKernel.h
@@ -79,7 +79,7 @@ public:
      * @param[in]  rounding_policy Rounding policy. Supported rounding modes: to zero, to nearest even.
      * @param[in]  act_info        (Optional) Activation layer information in case of a fused activation.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, float scale,
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, float scale,
                    ConvertPolicy overflow_policy, RoundingPolicy rounding_policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
     /** Static function to check if given info will lead to a valid configuration of @ref CLPixelWiseMultiplicationKernel
      *
@@ -145,7 +145,7 @@ public:
      * @param[out] output          The output tensor, Data types supported: same as @p input1. Number of channels supported: same as @p input1.
      * @param[in]  act_info        (Optional) Activation layer information in case of a fused activation.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
     /** Static function to check if given info will lead to a valid configuration of @ref CLComplexPixelWiseMultiplicationKernel
      *
      * @param[in] input1   An input tensor info. Data types supported: F32. Number of channels supported: 2.
diff --git a/arm_compute/core/CL/kernels/CLPoolingLayerKernel.h b/arm_compute/core/CL/kernels/CLPoolingLayerKernel.h
index 4ab6955110..395750440c 100644
--- a/arm_compute/core/CL/kernels/CLPoolingLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLPoolingLayerKernel.h
@@ -67,7 +67,7 @@ public:
      * @param[in]  pool_info       Contains pooling operation information described in @ref PoolingLayerInfo.
      * @param[out] indices         (optional) The indices of the maximal values. Data type supported: U32.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const PoolingLayerInfo &pool_info, ICLTensor *indices = nullptr);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const PoolingLayerInfo &pool_info, ICLTensor *indices = nullptr);
     /** Static function to check if given info will lead to a valid configuration of @ref CLPoolingLayerKernel
      *
      * @param[in] input     Source tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
diff --git a/arm_compute/core/CL/kernels/CLPriorBoxLayerKernel.h b/arm_compute/core/CL/kernels/CLPriorBoxLayerKernel.h
index 89fd656581..5fd27d9233 100644
--- a/arm_compute/core/CL/kernels/CLPriorBoxLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLPriorBoxLayerKernel.h
@@ -69,7 +69,7 @@ public:
      * @param[in]  max             Maximum prior box values
      * @param[in]  aspect_ratios   Aspect ratio values
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, const PriorBoxLayerInfo &info, cl::Buffer *min, cl::Buffer *max,
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, const PriorBoxLayerInfo &info, cl::Buffer *min, cl::Buffer *max,
                    cl::Buffer *aspect_ratios);
     /** Static function to check if given info will lead to a valid configuration of @ref CLPriorBoxLayerKernel
      *
diff --git a/arm_compute/core/CL/kernels/CLQLSTMLayerNormalizationKernel.h b/arm_compute/core/CL/kernels/CLQLSTMLayerNormalizationKernel.h
index 3206eda729..1a2f3111f5 100644
--- a/arm_compute/core/CL/kernels/CLQLSTMLayerNormalizationKernel.h
+++ b/arm_compute/core/CL/kernels/CLQLSTMLayerNormalizationKernel.h
@@ -63,7 +63,7 @@ public:
      * @param[in]  weight          Weight tensor. Data types supported: Same as @p input.
      * @param[in]  bias            Bias tensor. Data types supported: S32.
      */
-    void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const ICLTensor *weight, const ICLTensor *bias);
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const ICLTensor *weight, const ICLTensor *bias);
     /** Static function to check if given info will lead to a valid configuration of @ref CLQLSTMLayerNormalizationKernel
      *
      * @param[in] input  Source tensor info with 2 dimensions. Data types supported: QSYMM16.
diff --git a/arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h b/arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h
index a651529f2b..de30447e17 100644
--- a/arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h
@@ -65,7 +65,7 @@ public:
      *
      * @note Output auto initialization is not supported by this kernel
      */
-    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 CLQuantizationLayerKernel
      *
      * @param[in] input  Input tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/F32/F16.
diff --git a/arm_compute/core/CL/kernels/CLROIAlignLayerKernel.h b/arm_compute/core/CL/kernels/CLROIAlignLayerKernel.h
index 8f4485a03b..30bdbb1844 100644
--- a/arm_compute/core/CL/kernels/CLROIAlignLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLROIAlignLayerKernel.h
@@ -79,7 +79,7 @@ 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);
     /** Static function to check if given info will lead to a valid configuration of @ref CLROIAlignLayerKernel
      *
      * @param[in] input     Source tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
diff --git a/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.cpp b/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.cpp
index bcf71565af..760a8622ab 100644
--- a/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.cpp
@@ -176,7 +176,7 @@ void CLGEMMLowpMatrixMultiplyNativeKernel::configure(const ICLTensor *input0, co
     configure(CLKernelLibrary::get().get_compile_context(), input0, input1, output, lhs_info, rhs_info, gemm_info);
 }
 
-void CLGEMMLowpMatrixMultiplyNativeKernel::configure(CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, const GEMMLHSMatrixInfo &lhs_info,
+void CLGEMMLowpMatrixMultiplyNativeKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, const GEMMLHSMatrixInfo &lhs_info,
                                                      const GEMMRHSMatrixInfo &rhs_info,
                                                      const GEMMReshapeInfo   &gemm_info)
 {
diff --git a/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedKernel.cpp b/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedKernel.cpp
index ebb00a45d5..eeedfdaab1 100644
--- a/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedKernel.cpp
@@ -171,7 +171,7 @@ void CLGEMMLowpMatrixMultiplyReshapedKernel::configure(const ICLTensor *input0,
     configure(CLKernelLibrary::get().get_compile_context(), input0, input1, output, lhs_info, rhs_info, gemm_info);
 }
 
-void CLGEMMLowpMatrixMultiplyReshapedKernel::configure(CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, const GEMMLHSMatrixInfo &lhs_info,
+void CLGEMMLowpMatrixMultiplyReshapedKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, const GEMMLHSMatrixInfo &lhs_info,
                                                        const GEMMRHSMatrixInfo &rhs_info,
                                                        const GEMMReshapeInfo   &gemm_info)
 {
diff --git a/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel.cpp b/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel.cpp
index ad675df7ea..0fdc899197 100644
--- a/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel.cpp
@@ -320,7 +320,7 @@ void CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel::configure(const ICLTensor *i
     configure(CLKernelLibrary::get().get_compile_context(), input0, input1, output, gemm_info, vector_sum_col, vector_sum_row, bias, output_multipliers, output_shifts);
 }
 
-void CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel::configure(CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, const GEMMKernelInfo &gemm_info,
+void CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, const GEMMKernelInfo &gemm_info,
                                                               const ICLTensor *vector_sum_col, const ICLTensor *vector_sum_row, const ICLTensor *bias,
                                                               const ICLTensor *output_multipliers, const ICLTensor *output_shifts)
 {
diff --git a/src/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.cpp b/src/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.cpp
index fd2cc7a680..dc8eb76c23 100644
--- a/src/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.cpp
@@ -148,7 +148,7 @@ void CLGEMMLowpOffsetContributionKernel::configure(ICLTensor *mm_result, const I
     configure(CLKernelLibrary::get().get_compile_context(), mm_result, vector_sum_col, vector_sum_row, bias, k, a_offset, b_offset);
 }
 
-void CLGEMMLowpOffsetContributionKernel::configure(CLCompileContext &compile_context, ICLTensor *mm_result, const ICLTensor *vector_sum_col, const ICLTensor *vector_sum_row, const ICLTensor *bias,
+void CLGEMMLowpOffsetContributionKernel::configure(const CLCompileContext &compile_context, ICLTensor *mm_result, const ICLTensor *vector_sum_col, const ICLTensor *vector_sum_row, const ICLTensor *bias,
                                                    int32_t k, int32_t a_offset,
                                                    int32_t b_offset)
 {
diff --git a/src/core/CL/kernels/CLGEMMLowpOffsetContributionOutputStageKernel.cpp b/src/core/CL/kernels/CLGEMMLowpOffsetContributionOutputStageKernel.cpp
index d52fb21574..26b318b0fd 100644
--- a/src/core/CL/kernels/CLGEMMLowpOffsetContributionOutputStageKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpOffsetContributionOutputStageKernel.cpp
@@ -187,7 +187,7 @@ void CLGEMMLowpOffsetContributionOutputStageKernel::configure(const ICLTensor *m
     configure(CLKernelLibrary::get().get_compile_context(), mm_result, vector_sum_col, vector_sum_row, bias, output, k, a_offset, b_offset, output_stage, output_multipliers, output_shifts);
 }
 
-void CLGEMMLowpOffsetContributionOutputStageKernel::configure(CLCompileContext &compile_context, const ICLTensor *mm_result, const ICLTensor *vector_sum_col, const ICLTensor *vector_sum_row,
+void CLGEMMLowpOffsetContributionOutputStageKernel::configure(const CLCompileContext &compile_context, const ICLTensor *mm_result, const ICLTensor *vector_sum_col, const ICLTensor *vector_sum_row,
                                                               const ICLTensor *bias, ICLTensor *output,
                                                               int32_t k, int32_t a_offset, int32_t b_offset, const GEMMLowpOutputStageInfo &output_stage,
                                                               const ICLTensor *output_multipliers, const ICLTensor *output_shifts)
diff --git a/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel.cpp b/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel.cpp
index 171dc48112..f9f4839688 100644
--- a/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel.cpp
@@ -120,7 +120,7 @@ void CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel::configure(const ICLTensor *i
     configure(CLKernelLibrary::get().get_compile_context(), input, bias, output, info);
 }
 
-void CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output,
+void CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output,
                                                               const GEMMLowpOutputStageInfo *info)
 {
     // Perform validate step
diff --git a/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleKernel.cpp b/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleKernel.cpp
index ca85e8b655..2db7d6d22b 100644
--- a/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleKernel.cpp
@@ -110,7 +110,7 @@ void CLGEMMLowpQuantizeDownInt32ScaleKernel::configure(const ICLTensor *input, c
     configure(CLKernelLibrary::get().get_compile_context(), input, bias, output, output_stage);
 }
 
-void CLGEMMLowpQuantizeDownInt32ScaleKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, const GEMMLowpOutputStageInfo *output_stage)
+void CLGEMMLowpQuantizeDownInt32ScaleKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, const GEMMLowpOutputStageInfo *output_stage)
 {
     // Perform validate step
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
diff --git a/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel.cpp b/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel.cpp
index 066307c4b2..2306b009bd 100644
--- a/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel.cpp
@@ -121,7 +121,7 @@ void CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel::configure(const
     configure(CLKernelLibrary::get().get_compile_context(), input, bias, output, result_fixedpoint_multiplier, result_shift, min, max);
 }
 
-void CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output,
+void CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output,
                                                                           int result_fixedpoint_multiplier, int result_shift,
                                                                           int min, int max)
 {
diff --git a/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel.cpp b/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel.cpp
index b6d98e6749..b4a7cc9d90 100644
--- a/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel.cpp
@@ -121,7 +121,7 @@ void CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel::configure(const I
     configure(CLKernelLibrary::get().get_compile_context(), input, bias, output, result_fixedpoint_multiplier, result_shift, result_offset_after_shift, min, max);
 }
 
-void CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output,
+void CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output,
                                                                          int result_fixedpoint_multiplier, int result_shift, int result_offset_after_shift,
                                                                          int min, int max)
 {
diff --git a/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.cpp b/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.cpp
index 7f2f2e75a9..3158d59948 100644
--- a/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.cpp
@@ -121,7 +121,7 @@ void CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::configure(const
     configure(CLKernelLibrary::get().get_compile_context(), input, bias, output, result_fixedpoint_multiplier, result_shift, result_offset_after_shift, min, max);
 }
 
-void CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output,
+void CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output,
                                                                           int result_fixedpoint_multiplier, int result_shift, int result_offset_after_shift,
                                                                           int min, int max)
 {
diff --git a/src/core/CL/kernels/CLGEMMLowpReductionKernel.cpp b/src/core/CL/kernels/CLGEMMLowpReductionKernel.cpp
index 9fa253a55a..44f8797cff 100644
--- a/src/core/CL/kernels/CLGEMMLowpReductionKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpReductionKernel.cpp
@@ -91,7 +91,7 @@ void CLGEMMLowpMatrixAReductionKernel::configure(const ICLTensor *mtx_a, ICLTens
     configure(CLKernelLibrary::get().get_compile_context(), mtx_a, vector_sum_row, info);
 }
 
-void CLGEMMLowpMatrixAReductionKernel::configure(CLCompileContext &compile_context, const ICLTensor *mtx_a, ICLTensor *vector_sum_row, const GEMMLowpReductionKernelInfo &info)
+void CLGEMMLowpMatrixAReductionKernel::configure(const CLCompileContext &compile_context, const ICLTensor *mtx_a, ICLTensor *vector_sum_row, const GEMMLowpReductionKernelInfo &info)
 {
     // Perform validate step
     ARM_COMPUTE_ERROR_ON_NULLPTR(mtx_a, vector_sum_row);
@@ -168,7 +168,7 @@ void CLGEMMLowpMatrixBReductionKernel::configure(const ICLTensor *mtx_b, ICLTens
     configure(CLKernelLibrary::get().get_compile_context(), mtx_b, vector_sum_col, info);
 }
 
-void CLGEMMLowpMatrixBReductionKernel::configure(CLCompileContext &compile_context, const ICLTensor *mtx_b, ICLTensor *vector_sum_col, const GEMMLowpReductionKernelInfo &info)
+void CLGEMMLowpMatrixBReductionKernel::configure(const CLCompileContext &compile_context, const ICLTensor *mtx_b, ICLTensor *vector_sum_col, const GEMMLowpReductionKernelInfo &info)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(mtx_b, vector_sum_col);
     ARM_COMPUTE_ERROR_THROW_ON(validate_arguments_matrix_b_reduction(mtx_b->info(), vector_sum_col->info()));
diff --git a/src/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.cpp b/src/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.cpp
index 045ae282d6..03cd1878aa 100644
--- a/src/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.cpp
@@ -82,7 +82,7 @@ void CLGEMMMatrixAccumulateBiasesKernel::configure(ICLTensor *accum, const ICLTe
     configure(CLKernelLibrary::get().get_compile_context(), accum, biases);
 }
 
-void CLGEMMMatrixAccumulateBiasesKernel::configure(CLCompileContext &compile_context, ICLTensor *accum, const ICLTensor *biases)
+void CLGEMMMatrixAccumulateBiasesKernel::configure(const CLCompileContext &compile_context, ICLTensor *accum, const ICLTensor *biases)
 {
     // Perform validate step
     ARM_COMPUTE_ERROR_ON_NULLPTR(accum, biases);
diff --git a/src/core/CL/kernels/CLGEMMMatrixMultiplyKernel.cpp b/src/core/CL/kernels/CLGEMMMatrixMultiplyKernel.cpp
index 9587a042be..d2c79543ad 100644
--- a/src/core/CL/kernels/CLGEMMMatrixMultiplyKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMMatrixMultiplyKernel.cpp
@@ -310,7 +310,7 @@ void CLGEMMMatrixMultiplyKernel::configure(const ICLTensor *input0, const ICLTen
     configure(CLKernelLibrary::get().get_compile_context(), input0, input1, input2, output, alpha, beta, is_interleaved_transposed, reshape_info, fp_mixed_precision, activation_info);
 }
 
-void CLGEMMMatrixMultiplyKernel::configure(CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, float alpha, float beta,
+void CLGEMMMatrixMultiplyKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, float alpha, float beta,
                                            bool is_interleaved_transposed, const GEMMReshapeInfo &reshape_info, bool fp_mixed_precision, const ActivationLayerInfo &activation_info)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input0, input1, output);
diff --git a/src/core/CL/kernels/CLGEMMMatrixMultiplyNativeKernel.cpp b/src/core/CL/kernels/CLGEMMMatrixMultiplyNativeKernel.cpp
index af4b097c72..d5a52845a1 100644
--- a/src/core/CL/kernels/CLGEMMMatrixMultiplyNativeKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMMatrixMultiplyNativeKernel.cpp
@@ -217,7 +217,7 @@ void CLGEMMMatrixMultiplyNativeKernel::configure(const ICLTensor *input0, const
     configure(CLKernelLibrary::get().get_compile_context(), input0, input1, input2, output, alpha, beta, lhs_info, rhs_info, gemm_info);
 }
 
-void CLGEMMMatrixMultiplyNativeKernel::configure(CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, float alpha,
+void CLGEMMMatrixMultiplyNativeKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, float alpha,
                                                  float                    beta,
                                                  const GEMMLHSMatrixInfo &lhs_info,
                                                  const GEMMRHSMatrixInfo &rhs_info, const GEMMKernelInfo &gemm_info)
diff --git a/src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.cpp b/src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.cpp
index eb01486087..09e4e98a87 100644
--- a/src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.cpp
@@ -219,7 +219,7 @@ void CLGEMMMatrixMultiplyReshapedKernel::configure(const ICLTensor *input0, cons
     configure(CLKernelLibrary::get().get_compile_context(), input0, input1, input2, output, alpha, beta, lhs_info, rhs_info, gemm_info);
 }
 
-void CLGEMMMatrixMultiplyReshapedKernel::configure(CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, float alpha,
+void CLGEMMMatrixMultiplyReshapedKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, float alpha,
                                                    float                    beta,
                                                    const GEMMLHSMatrixInfo &lhs_info,
                                                    const GEMMRHSMatrixInfo &rhs_info, const GEMMKernelInfo &gemm_info)
diff --git a/src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.cpp b/src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.cpp
index 011e93d9b3..13f8152fb4 100644
--- a/src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.cpp
@@ -220,7 +220,7 @@ void CLGEMMMatrixMultiplyReshapedOnlyRHSKernel::configure(const ICLTensor *input
     configure(CLKernelLibrary::get().get_compile_context(), input0, input1, input2, output, alpha, beta, lhs_info, rhs_info, gemm_info);
 }
 
-void CLGEMMMatrixMultiplyReshapedOnlyRHSKernel::configure(CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, float alpha,
+void CLGEMMMatrixMultiplyReshapedOnlyRHSKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, float alpha,
                                                           float                    beta,
                                                           const GEMMLHSMatrixInfo &lhs_info,
                                                           const GEMMRHSMatrixInfo &rhs_info, const GEMMKernelInfo &gemm_info)
diff --git a/src/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.cpp b/src/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.cpp
index 98a1dee758..4e57259cd6 100644
--- a/src/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.cpp
@@ -86,7 +86,7 @@ void CLGEMMMatrixVectorMultiplyKernel::configure(const ICLTensor *input0, const
     configure(CLKernelLibrary::get().get_compile_context(), input0, input1, output);
 }
 
-void CLGEMMMatrixVectorMultiplyKernel::configure(CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output)
+void CLGEMMMatrixVectorMultiplyKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input0, input1, output);
     ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input0->info(), input1->info(), output->info()));
diff --git a/src/core/CL/kernels/CLGEMMReshapeLHSMatrixKernel.cpp b/src/core/CL/kernels/CLGEMMReshapeLHSMatrixKernel.cpp
index 73e3106ff8..3267a0e39e 100644
--- a/src/core/CL/kernels/CLGEMMReshapeLHSMatrixKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMReshapeLHSMatrixKernel.cpp
@@ -124,7 +124,7 @@ void CLGEMMReshapeLHSMatrixKernel::configure(const ICLTensor *input, ICLTensor *
     configure(CLKernelLibrary::get().get_compile_context(), input, output, lhs_info, reinterpret_input_as_3d);
 }
 
-void CLGEMMReshapeLHSMatrixKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const GEMMLHSMatrixInfo &lhs_info, bool reinterpret_input_as_3d)
+void CLGEMMReshapeLHSMatrixKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const GEMMLHSMatrixInfo &lhs_info, bool reinterpret_input_as_3d)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
 
diff --git a/src/core/CL/kernels/CLGEMMReshapeRHSMatrixKernel.cpp b/src/core/CL/kernels/CLGEMMReshapeRHSMatrixKernel.cpp
index 1623b1e552..4217932097 100644
--- a/src/core/CL/kernels/CLGEMMReshapeRHSMatrixKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMReshapeRHSMatrixKernel.cpp
@@ -105,7 +105,7 @@ void CLGEMMReshapeRHSMatrixKernel::configure(const ICLTensor *input, ICLTensor *
     configure(CLKernelLibrary::get().get_compile_context(), input, output, rhs_info);
 }
 
-void CLGEMMReshapeRHSMatrixKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const GEMMRHSMatrixInfo &rhs_info)
+void CLGEMMReshapeRHSMatrixKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const GEMMRHSMatrixInfo &rhs_info)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
 
diff --git a/src/core/CL/kernels/CLGatherKernel.cpp b/src/core/CL/kernels/CLGatherKernel.cpp
index 6bee66ab93..07b9282879 100644
--- a/src/core/CL/kernels/CLGatherKernel.cpp
+++ b/src/core/CL/kernels/CLGatherKernel.cpp
@@ -92,7 +92,7 @@ void CLGatherKernel::configure(const ICLTensor *input, const ICLTensor *indices,
     configure(CLKernelLibrary::get().get_compile_context(), input, indices, output, axis);
 }
 
-void CLGatherKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *indices, ICLTensor *output, int axis)
+void CLGatherKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *indices, ICLTensor *output, int axis)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output, indices);
     ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), indices->info(), output->info(), axis));
diff --git a/src/core/CL/kernels/CLGaussian3x3Kernel.cpp b/src/core/CL/kernels/CLGaussian3x3Kernel.cpp
index 0edf46b506..210ffb9123 100644
--- a/src/core/CL/kernels/CLGaussian3x3Kernel.cpp
+++ b/src/core/CL/kernels/CLGaussian3x3Kernel.cpp
@@ -44,7 +44,7 @@ void CLGaussian3x3Kernel::configure(const ICLTensor *input, ICLTensor *output, b
     configure(CLKernelLibrary::get().get_compile_context(), input, output, border_undefined);
 }
 
-void CLGaussian3x3Kernel::configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, bool border_undefined)
+void CLGaussian3x3Kernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, bool border_undefined)
 {
     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8);
     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8);
diff --git a/src/core/CL/kernels/CLGaussian5x5Kernel.cpp b/src/core/CL/kernels/CLGaussian5x5Kernel.cpp
index 98436b950f..cb864671db 100644
--- a/src/core/CL/kernels/CLGaussian5x5Kernel.cpp
+++ b/src/core/CL/kernels/CLGaussian5x5Kernel.cpp
@@ -32,7 +32,7 @@ void CLGaussian5x5HorKernel::configure(const ICLTensor *input, ICLTensor *output
     configure(CLKernelLibrary::get().get_compile_context(), input, output, border_undefined);
 }
 
-void CLGaussian5x5HorKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, bool border_undefined)
+void CLGaussian5x5HorKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, bool border_undefined)
 {
     const std::array<int16_t, 5> matrix = { 1, 4, 6, 4, 1 };
 
@@ -45,7 +45,7 @@ void CLGaussian5x5VertKernel::configure(const ICLTensor *input, ICLTensor *outpu
     configure(CLKernelLibrary::get().get_compile_context(), input, output, border_undefined);
 }
 
-void CLGaussian5x5VertKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, bool border_undefined)
+void CLGaussian5x5VertKernel::configure(const 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 };
diff --git a/src/core/CL/kernels/CLGaussianPyramidKernel.cpp b/src/core/CL/kernels/CLGaussianPyramidKernel.cpp
index 8486d45e1a..73dbda22f3 100644
--- a/src/core/CL/kernels/CLGaussianPyramidKernel.cpp
+++ b/src/core/CL/kernels/CLGaussianPyramidKernel.cpp
@@ -47,7 +47,7 @@ void CLGaussianPyramidHorKernel::configure(const ICLTensor *input, ICLTensor *ou
     configure(CLKernelLibrary::get().get_compile_context(), input, output);
 }
 
-void CLGaussianPyramidHorKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output)
+void CLGaussianPyramidHorKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output)
 {
     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8);
     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U16);
@@ -158,7 +158,7 @@ void CLGaussianPyramidVertKernel::configure(const ICLTensor *input, ICLTensor *o
     configure(CLKernelLibrary::get().get_compile_context(), input, output);
 }
 
-void CLGaussianPyramidVertKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output)
+void CLGaussianPyramidVertKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output)
 {
     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U16);
     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8);
diff --git a/src/core/CL/kernels/CLGenerateProposalsLayerKernel.cpp b/src/core/CL/kernels/CLGenerateProposalsLayerKernel.cpp
index 0f09152757..8baac18bf6 100644
--- a/src/core/CL/kernels/CLGenerateProposalsLayerKernel.cpp
+++ b/src/core/CL/kernels/CLGenerateProposalsLayerKernel.cpp
@@ -76,7 +76,7 @@ void CLComputeAllAnchorsKernel::configure(const ICLTensor *anchors, ICLTensor *a
     configure(CLKernelLibrary::get().get_compile_context(), anchors, all_anchors, info);
 }
 
-void CLComputeAllAnchorsKernel::configure(CLCompileContext &compile_context, const ICLTensor *anchors, ICLTensor *all_anchors, const ComputeAnchorsInfo &info)
+void CLComputeAllAnchorsKernel::configure(const CLCompileContext &compile_context, const ICLTensor *anchors, ICLTensor *all_anchors, const ComputeAnchorsInfo &info)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(anchors, all_anchors);
     ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(anchors->info(), all_anchors->info(), info));
diff --git a/src/core/CL/kernels/CLHOGDescriptorKernel.cpp b/src/core/CL/kernels/CLHOGDescriptorKernel.cpp
index f79388e93d..e58b62e9de 100644
--- a/src/core/CL/kernels/CLHOGDescriptorKernel.cpp
+++ b/src/core/CL/kernels/CLHOGDescriptorKernel.cpp
@@ -51,7 +51,7 @@ void CLHOGOrientationBinningKernel::configure(const ICLTensor *input_magnitude,
     configure(CLKernelLibrary::get().get_compile_context(), input_magnitude, input_phase, output, hog_info);
 }
 
-void CLHOGOrientationBinningKernel::configure(CLCompileContext &compile_context, const ICLTensor *input_magnitude, const ICLTensor *input_phase, ICLTensor *output, const HOGInfo *hog_info)
+void CLHOGOrientationBinningKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input_magnitude, const ICLTensor *input_phase, ICLTensor *output, const HOGInfo *hog_info)
 {
     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input_magnitude, 1, DataType::S16);
     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input_phase, 1, DataType::U8);
@@ -147,7 +147,7 @@ void CLHOGBlockNormalizationKernel::configure(const ICLTensor *input, ICLTensor
     configure(CLKernelLibrary::get().get_compile_context(), input, output, hog_info);
 }
 
-void CLHOGBlockNormalizationKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const HOGInfo *hog_info)
+void CLHOGBlockNormalizationKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const HOGInfo *hog_info)
 {
     ARM_COMPUTE_ERROR_ON(hog_info == nullptr);
     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, hog_info->num_bins(), DataType::F32);
diff --git a/src/core/CL/kernels/CLHOGDetectorKernel.cpp b/src/core/CL/kernels/CLHOGDetectorKernel.cpp
index 02fad20a05..bee9744aad 100644
--- a/src/core/CL/kernels/CLHOGDetectorKernel.cpp
+++ b/src/core/CL/kernels/CLHOGDetectorKernel.cpp
@@ -48,7 +48,7 @@ void CLHOGDetectorKernel::configure(const ICLTensor *input, const ICLHOG *hog, I
     configure(CLKernelLibrary::get().get_compile_context(), input, hog, detection_windows, num_detection_windows, detection_window_stride, threshold, idx_class);
 }
 
-void CLHOGDetectorKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLHOG *hog, ICLDetectionWindowArray *detection_windows, cl::Buffer *num_detection_windows,
+void CLHOGDetectorKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLHOG *hog, ICLDetectionWindowArray *detection_windows, cl::Buffer *num_detection_windows,
                                     const Size2D &detection_window_stride,
                                     float threshold, uint16_t idx_class)
 {
diff --git a/src/core/CL/kernels/CLHarrisCornersKernel.cpp b/src/core/CL/kernels/CLHarrisCornersKernel.cpp
index 2c344c7160..313d95fb03 100644
--- a/src/core/CL/kernels/CLHarrisCornersKernel.cpp
+++ b/src/core/CL/kernels/CLHarrisCornersKernel.cpp
@@ -59,7 +59,7 @@ void CLHarrisScoreKernel::configure(const ICLImage *input1, const ICLImage *inpu
     configure(CLKernelLibrary::get().get_compile_context(), input1, input2, output, block_size, norm_factor, strength_thresh, sensitivity, border_undefined);
 }
 
-void CLHarrisScoreKernel::configure(CLCompileContext &compile_context, const ICLImage *input1, const ICLImage *input2, ICLImage *output,
+void CLHarrisScoreKernel::configure(const CLCompileContext &compile_context, const ICLImage *input1, const ICLImage *input2, ICLImage *output,
                                     int32_t block_size, float norm_factor, float strength_thresh, float sensitivity,
                                     bool border_undefined)
 {
diff --git a/src/core/CL/kernels/CLHeightConcatenateLayerKernel.cpp b/src/core/CL/kernels/CLHeightConcatenateLayerKernel.cpp
index 8d9e1b9f9d..5c0eb2a606 100644
--- a/src/core/CL/kernels/CLHeightConcatenateLayerKernel.cpp
+++ b/src/core/CL/kernels/CLHeightConcatenateLayerKernel.cpp
@@ -94,7 +94,7 @@ void CLHeightConcatenateLayerKernel::configure(const ICLTensor *input, unsigned
     configure(CLKernelLibrary::get().get_compile_context(), input, height_offset, output);
 }
 
-void CLHeightConcatenateLayerKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, unsigned int height_offset, ICLTensor *output)
+void CLHeightConcatenateLayerKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, unsigned int height_offset, ICLTensor *output)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
     ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), height_offset, output->info()));
diff --git a/src/core/CL/kernels/CLHistogramKernel.cpp b/src/core/CL/kernels/CLHistogramKernel.cpp
index 5c44f6eec5..f16fa8c9fb 100644
--- a/src/core/CL/kernels/CLHistogramKernel.cpp
+++ b/src/core/CL/kernels/CLHistogramKernel.cpp
@@ -56,7 +56,7 @@ void CLHistogramKernel::configure(const ICLImage *input, ICLDistribution1D *outp
     configure(CLKernelLibrary::get().get_compile_context(), input, output);
 }
 
-void CLHistogramKernel::configure(CLCompileContext &compile_context, const ICLImage *input, ICLDistribution1D *output)
+void CLHistogramKernel::configure(const CLCompileContext &compile_context, const ICLImage *input, ICLDistribution1D *output)
 {
     ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(input);
     ARM_COMPUTE_ERROR_ON(nullptr == output);
@@ -166,7 +166,7 @@ void CLHistogramBorderKernel::configure(const ICLImage *input, ICLDistribution1D
     configure(CLKernelLibrary::get().get_compile_context(), input, output);
 }
 
-void CLHistogramBorderKernel::configure(CLCompileContext &compile_context, const ICLImage *input, ICLDistribution1D *output)
+void CLHistogramBorderKernel::configure(const CLCompileContext &compile_context, const ICLImage *input, ICLDistribution1D *output)
 {
     ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(input);
     ARM_COMPUTE_ERROR_ON(nullptr == output);
diff --git a/src/core/CL/kernels/CLIm2ColKernel.cpp b/src/core/CL/kernels/CLIm2ColKernel.cpp
index b24d2509d1..078aad2356 100644
--- a/src/core/CL/kernels/CLIm2ColKernel.cpp
+++ b/src/core/CL/kernels/CLIm2ColKernel.cpp
@@ -298,7 +298,7 @@ void CLIm2ColKernel::configure(const ICLTensor *input, ICLTensor *output, const
     configure(CLKernelLibrary::get().get_compile_context(), input, output, kernel_dims, conv_info, has_bias, dilation, num_groups);
 }
 
-void CLIm2ColKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias,
+void CLIm2ColKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias,
                                const Size2D &dilation,
                                unsigned int  num_groups)
 {
diff --git a/src/core/CL/kernels/CLInstanceNormalizationLayerKernel.cpp b/src/core/CL/kernels/CLInstanceNormalizationLayerKernel.cpp
index 62a0485eff..0eb2c50e6f 100644
--- a/src/core/CL/kernels/CLInstanceNormalizationLayerKernel.cpp
+++ b/src/core/CL/kernels/CLInstanceNormalizationLayerKernel.cpp
@@ -80,7 +80,7 @@ void CLInstanceNormalizationLayerKernel::configure(ICLTensor *input, ICLTensor *
     configure(CLKernelLibrary::get().get_compile_context(), input, output, info);
 }
 
-void CLInstanceNormalizationLayerKernel::configure(CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const InstanceNormalizationLayerKernelInfo &info)
+void CLInstanceNormalizationLayerKernel::configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const InstanceNormalizationLayerKernelInfo &info)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input);
 
diff --git a/src/core/CL/kernels/CLIntegralImageKernel.cpp b/src/core/CL/kernels/CLIntegralImageKernel.cpp
index 415531d85c..4c3445d1ae 100644
--- a/src/core/CL/kernels/CLIntegralImageKernel.cpp
+++ b/src/core/CL/kernels/CLIntegralImageKernel.cpp
@@ -42,7 +42,7 @@ void CLIntegralImageHorKernel::configure(const ICLTensor *input, ICLTensor *outp
     configure(CLKernelLibrary::get().get_compile_context(), input, output);
 }
 
-void CLIntegralImageHorKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output)
+void CLIntegralImageHorKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output)
 {
     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8);
     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U32);
@@ -93,7 +93,7 @@ void CLIntegralImageVertKernel::configure(ICLTensor *in_out)
     configure(CLKernelLibrary::get().get_compile_context(), in_out);
 }
 
-void CLIntegralImageVertKernel::configure(CLCompileContext &compile_context, ICLTensor *in_out)
+void CLIntegralImageVertKernel::configure(const CLCompileContext &compile_context, ICLTensor *in_out)
 {
     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(in_out, 1, DataType::U32);
 
diff --git a/src/core/CL/kernels/CLL2NormalizeLayerKernel.cpp b/src/core/CL/kernels/CLL2NormalizeLayerKernel.cpp
index 1817d15d3e..e04950d0a2 100644
--- a/src/core/CL/kernels/CLL2NormalizeLayerKernel.cpp
+++ b/src/core/CL/kernels/CLL2NormalizeLayerKernel.cpp
@@ -100,7 +100,7 @@ void CLL2NormalizeLayerKernel::configure(const ICLTensor *input, const ICLTensor
     configure(CLKernelLibrary::get().get_compile_context(), input, sum, output, axis, epsilon);
 }
 
-void CLL2NormalizeLayerKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *sum, ICLTensor *output, int axis, float epsilon)
+void CLL2NormalizeLayerKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *sum, ICLTensor *output, int axis, float epsilon)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, sum, output);
     ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), sum->info(), output->info(), axis, epsilon));
diff --git a/src/core/CL/kernels/CLLKTrackerKernel.cpp b/src/core/CL/kernels/CLLKTrackerKernel.cpp
index 3a7c1b5b9e..a2948d38fe 100644
--- a/src/core/CL/kernels/CLLKTrackerKernel.cpp
+++ b/src/core/CL/kernels/CLLKTrackerKernel.cpp
@@ -45,7 +45,7 @@ void CLLKTrackerInitKernel::configure(const ICLKeyPointArray *old_points, const
     configure(CLKernelLibrary::get().get_compile_context(), old_points, new_points_estimates, old_points_internal, new_points_internal, use_initial_estimate, level, num_levels, pyramid_scale);
 }
 
-void CLLKTrackerInitKernel::configure(CLCompileContext &compile_context, const ICLKeyPointArray *old_points, const ICLKeyPointArray *new_points_estimates,
+void CLLKTrackerInitKernel::configure(const CLCompileContext &compile_context, const ICLKeyPointArray *old_points, const ICLKeyPointArray *new_points_estimates,
                                       ICLLKInternalKeypointArray *old_points_internal, ICLLKInternalKeypointArray *new_points_internal,
                                       bool use_initial_estimate, size_t level, size_t num_levels, float pyramid_scale)
 
@@ -98,7 +98,7 @@ void CLLKTrackerFinalizeKernel::configure(ICLLKInternalKeypointArray *new_points
     configure(CLKernelLibrary::get().get_compile_context(), new_points_internal, new_points);
 }
 
-void CLLKTrackerFinalizeKernel::configure(CLCompileContext &compile_context, ICLLKInternalKeypointArray *new_points_internal, ICLKeyPointArray *new_points)
+void CLLKTrackerFinalizeKernel::configure(const CLCompileContext &compile_context, ICLLKInternalKeypointArray *new_points_internal, ICLKeyPointArray *new_points)
 
 {
     ARM_COMPUTE_ERROR_ON(new_points_internal == nullptr);
@@ -140,7 +140,7 @@ void CLLKTrackerStage0Kernel::configure(const ICLTensor *old_input, const ICLTen
     configure(CLKernelLibrary::get().get_compile_context(), old_input, old_scharr_gx, old_scharr_gy, old_points_internal, new_points_internal, coeff_table, old_ival, window_dimension, level);
 }
 
-void CLLKTrackerStage0Kernel::configure(CLCompileContext &compile_context, const ICLTensor *old_input, const ICLTensor *old_scharr_gx, const ICLTensor *old_scharr_gy,
+void CLLKTrackerStage0Kernel::configure(const CLCompileContext &compile_context, const ICLTensor *old_input, const ICLTensor *old_scharr_gx, const ICLTensor *old_scharr_gy,
                                         ICLLKInternalKeypointArray *old_points_internal, ICLLKInternalKeypointArray *new_points_internal,
                                         ICLCoefficientTableArray *coeff_table, ICLOldValArray *old_ival,
                                         size_t window_dimension, size_t level)
@@ -236,7 +236,7 @@ void CLLKTrackerStage1Kernel::configure(const ICLTensor *new_input, ICLLKInterna
     configure(CLKernelLibrary::get().get_compile_context(), new_input, new_points_internal, coeff_table, old_ival, termination, epsilon, num_iterations, window_dimension, level);
 }
 
-void CLLKTrackerStage1Kernel::configure(CLCompileContext &compile_context, const ICLTensor *new_input, ICLLKInternalKeypointArray *new_points_internal, ICLCoefficientTableArray *coeff_table,
+void CLLKTrackerStage1Kernel::configure(const CLCompileContext &compile_context, const ICLTensor *new_input, ICLLKInternalKeypointArray *new_points_internal, ICLCoefficientTableArray *coeff_table,
                                         ICLOldValArray *old_ival,
                                         Termination termination, float epsilon, size_t num_iterations, size_t window_dimension, size_t level)
 
diff --git a/src/core/CL/kernels/CLLocallyConnectedMatrixMultiplyKernel.cpp b/src/core/CL/kernels/CLLocallyConnectedMatrixMultiplyKernel.cpp
index fb750583c0..04ad754cbf 100644
--- a/src/core/CL/kernels/CLLocallyConnectedMatrixMultiplyKernel.cpp
+++ b/src/core/CL/kernels/CLLocallyConnectedMatrixMultiplyKernel.cpp
@@ -86,7 +86,7 @@ void CLLocallyConnectedMatrixMultiplyKernel::configure(const ICLTensor *input0,
     configure(CLKernelLibrary::get().get_compile_context(), input0, input1, output);
 }
 
-void CLLocallyConnectedMatrixMultiplyKernel::configure(CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output)
+void CLLocallyConnectedMatrixMultiplyKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input0, input1, output);
     ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input0->info(), input1->info(), output->info()));
diff --git a/src/core/CL/kernels/CLMagnitudePhaseKernel.cpp b/src/core/CL/kernels/CLMagnitudePhaseKernel.cpp
index 2c28e030d2..88c10342f4 100644
--- a/src/core/CL/kernels/CLMagnitudePhaseKernel.cpp
+++ b/src/core/CL/kernels/CLMagnitudePhaseKernel.cpp
@@ -50,7 +50,7 @@ void CLMagnitudePhaseKernel::configure(const ICLTensor *gx, const ICLTensor *gy,
     configure(CLKernelLibrary::get().get_compile_context(), gx, gy, magnitude, phase, mag_type, phase_type);
 }
 
-void CLMagnitudePhaseKernel::configure(CLCompileContext &compile_context, const ICLTensor *gx, const ICLTensor *gy, ICLTensor *magnitude, ICLTensor *phase,
+void CLMagnitudePhaseKernel::configure(const CLCompileContext &compile_context, const ICLTensor *gx, const ICLTensor *gy, ICLTensor *magnitude, ICLTensor *phase,
                                        MagnitudeType mag_type, PhaseType phase_type)
 {
     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(gx, 1, DataType::S16, DataType::S32);
diff --git a/src/core/CL/kernels/CLMeanStdDevKernel.cpp b/src/core/CL/kernels/CLMeanStdDevKernel.cpp
index 5a6630d5d4..de8b57ef17 100644
--- a/src/core/CL/kernels/CLMeanStdDevKernel.cpp
+++ b/src/core/CL/kernels/CLMeanStdDevKernel.cpp
@@ -68,7 +68,7 @@ void CLMeanStdDevKernel::configure(const ICLImage *input, float *mean, cl::Buffe
     configure(CLKernelLibrary::get().get_compile_context(), input, mean, global_sum, stddev, global_sum_squared);
 }
 
-void CLMeanStdDevKernel::configure(CLCompileContext &compile_context, const ICLImage *input, float *mean, cl::Buffer *global_sum, float *stddev, cl::Buffer *global_sum_squared)
+void CLMeanStdDevKernel::configure(const CLCompileContext &compile_context, const ICLImage *input, float *mean, cl::Buffer *global_sum, float *stddev, cl::Buffer *global_sum_squared)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, mean, global_sum);
     ARM_COMPUTE_ERROR_ON(stddev && nullptr == global_sum_squared);
diff --git a/src/core/CL/kernels/CLMeanStdDevNormalizationKernel.cpp b/src/core/CL/kernels/CLMeanStdDevNormalizationKernel.cpp
index 11ef86e8c3..4230570ae0 100644
--- a/src/core/CL/kernels/CLMeanStdDevNormalizationKernel.cpp
+++ b/src/core/CL/kernels/CLMeanStdDevNormalizationKernel.cpp
@@ -88,7 +88,7 @@ void CLMeanStdDevNormalizationKernel::configure(ICLTensor *input, ICLTensor *out
     configure(CLKernelLibrary::get().get_compile_context(), input, output, epsilon);
 }
 
-void CLMeanStdDevNormalizationKernel::configure(CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, float epsilon)
+void CLMeanStdDevNormalizationKernel::configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, float epsilon)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input);
 
diff --git a/src/core/CL/kernels/CLMedian3x3Kernel.cpp b/src/core/CL/kernels/CLMedian3x3Kernel.cpp
index cfc9591584..3b1b6ada03 100644
--- a/src/core/CL/kernels/CLMedian3x3Kernel.cpp
+++ b/src/core/CL/kernels/CLMedian3x3Kernel.cpp
@@ -42,7 +42,7 @@ void CLMedian3x3Kernel::configure(const ICLTensor *input, ICLTensor *output, boo
     configure(CLKernelLibrary::get().get_compile_context(), input, output, border_undefined);
 }
 
-void CLMedian3x3Kernel::configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, bool border_undefined)
+void CLMedian3x3Kernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, bool border_undefined)
 {
     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8);
     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8);
diff --git a/src/core/CL/kernels/CLMemsetKernel.cpp b/src/core/CL/kernels/CLMemsetKernel.cpp
index 9b37cb81fd..08bb0a607e 100644
--- a/src/core/CL/kernels/CLMemsetKernel.cpp
+++ b/src/core/CL/kernels/CLMemsetKernel.cpp
@@ -47,7 +47,7 @@ void CLMemsetKernel::configure(ICLTensor        *tensor,
     configure(CLKernelLibrary::get().get_compile_context(), tensor, constant_value, window);
 }
 
-void CLMemsetKernel::configure(CLCompileContext &compile_context, ICLTensor *tensor,
+void CLMemsetKernel::configure(const CLCompileContext &compile_context, ICLTensor *tensor,
                                const PixelValue &constant_value,
                                Window           *window)
 {
diff --git a/src/core/CL/kernels/CLMinMaxLayerKernel.cpp b/src/core/CL/kernels/CLMinMaxLayerKernel.cpp
index c89bbcb320..2ff9196f13 100644
--- a/src/core/CL/kernels/CLMinMaxLayerKernel.cpp
+++ b/src/core/CL/kernels/CLMinMaxLayerKernel.cpp
@@ -91,7 +91,7 @@ void CLMinMaxLayerKernel::configure(const ICLTensor *input, ICLTensor *output)
     configure(CLKernelLibrary::get().get_compile_context(), input, output);
 }
 
-void CLMinMaxLayerKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output)
+void CLMinMaxLayerKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
     ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info()));
diff --git a/src/core/CL/kernels/CLMinMaxLocationKernel.cpp b/src/core/CL/kernels/CLMinMaxLocationKernel.cpp
index 77c945bed1..dfa0555331 100644
--- a/src/core/CL/kernels/CLMinMaxLocationKernel.cpp
+++ b/src/core/CL/kernels/CLMinMaxLocationKernel.cpp
@@ -65,7 +65,7 @@ void CLMinMaxKernel::configure(const ICLImage *input, cl::Buffer *min_max)
     configure(CLKernelLibrary::get().get_compile_context(), input, min_max);
 }
 
-void CLMinMaxKernel::configure(CLCompileContext &compile_context, const ICLImage *input, cl::Buffer *min_max)
+void CLMinMaxKernel::configure(const CLCompileContext &compile_context, const ICLImage *input, cl::Buffer *min_max)
 {
     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S16, DataType::F32);
     ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(input);
@@ -177,7 +177,7 @@ void CLMinMaxLocationKernel::configure(const ICLImage *input, cl::Buffer *min_ma
     configure(CLKernelLibrary::get().get_compile_context(), input, min_max, min_max_count, min_loc, max_loc);
 }
 
-void CLMinMaxLocationKernel::configure(CLCompileContext &compile_context, const ICLImage *input, cl::Buffer *min_max, cl::Buffer *min_max_count, ICLCoordinates2DArray *min_loc,
+void CLMinMaxLocationKernel::configure(const CLCompileContext &compile_context, const ICLImage *input, cl::Buffer *min_max, cl::Buffer *min_max_count, ICLCoordinates2DArray *min_loc,
                                        ICLCoordinates2DArray *max_loc)
 {
     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S16, DataType::F32);
diff --git a/src/core/CL/kernels/CLNonLinearFilterKernel.cpp b/src/core/CL/kernels/CLNonLinearFilterKernel.cpp
index 01b8733ab8..5066c3b16a 100644
--- a/src/core/CL/kernels/CLNonLinearFilterKernel.cpp
+++ b/src/core/CL/kernels/CLNonLinearFilterKernel.cpp
@@ -60,7 +60,7 @@ void CLNonLinearFilterKernel::configure(const ICLTensor *input, ICLTensor *outpu
     configure(CLKernelLibrary::get().get_compile_context(), input, output, function, mask_size, pattern, mask, border_undefined);
 }
 
-void CLNonLinearFilterKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, NonLinearFilterFunction function,
+void CLNonLinearFilterKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, NonLinearFilterFunction function,
                                         unsigned int mask_size, MatrixPattern pattern, const uint8_t *mask,
                                         bool border_undefined)
 {
diff --git a/src/core/CL/kernels/CLNonMaximaSuppression3x3Kernel.cpp b/src/core/CL/kernels/CLNonMaximaSuppression3x3Kernel.cpp
index dd6aa1ea8f..7de7735f0c 100644
--- a/src/core/CL/kernels/CLNonMaximaSuppression3x3Kernel.cpp
+++ b/src/core/CL/kernels/CLNonMaximaSuppression3x3Kernel.cpp
@@ -46,7 +46,7 @@ void CLNonMaximaSuppression3x3Kernel::configure(const ICLTensor *input, ICLTenso
     configure(CLKernelLibrary::get().get_compile_context(), input, output, border_undefined);
 }
 
-void CLNonMaximaSuppression3x3Kernel::configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, bool border_undefined)
+void CLNonMaximaSuppression3x3Kernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, bool border_undefined)
 {
     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::F32);
     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8, DataType::F32);
diff --git a/src/core/CL/kernels/CLNormalizationLayerKernel.cpp b/src/core/CL/kernels/CLNormalizationLayerKernel.cpp
index 6284a6acb4..7c8c23238d 100644
--- a/src/core/CL/kernels/CLNormalizationLayerKernel.cpp
+++ b/src/core/CL/kernels/CLNormalizationLayerKernel.cpp
@@ -110,7 +110,7 @@ void CLNormalizationLayerKernel::configure(const ICLTensor *input, ICLTensor *ou
     configure(CLKernelLibrary::get().get_compile_context(), input, output, norm_info);
 }
 
-void CLNormalizationLayerKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, NormalizationLayerInfo norm_info)
+void CLNormalizationLayerKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, NormalizationLayerInfo norm_info)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
 
diff --git a/src/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.cpp b/src/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.cpp
index d46581e4dc..2ca77161ea 100644
--- a/src/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.cpp
+++ b/src/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.cpp
@@ -100,7 +100,7 @@ void CLNormalizePlanarYUVLayerKernel::configure(const ICLTensor *input, ICLTenso
     configure(CLKernelLibrary::get().get_compile_context(), input, output, mean, std);
 }
 
-void CLNormalizePlanarYUVLayerKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const ICLTensor *mean, const ICLTensor *std)
+void CLNormalizePlanarYUVLayerKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const ICLTensor *mean, const ICLTensor *std)
 {
     // Perform validation step
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output, mean, std);
diff --git a/src/core/CL/kernels/CLPadLayerKernel.cpp b/src/core/CL/kernels/CLPadLayerKernel.cpp
index 764e2a41e7..82508ec8ba 100644
--- a/src/core/CL/kernels/CLPadLayerKernel.cpp
+++ b/src/core/CL/kernels/CLPadLayerKernel.cpp
@@ -101,7 +101,7 @@ void CLPadLayerKernel::configure(const ICLTensor *input, ICLTensor *output, cons
     configure(CLKernelLibrary::get().get_compile_context(), input, output, padding, constant_value, mode);
 }
 
-void CLPadLayerKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const PaddingList &padding, PixelValue constant_value, PaddingMode mode)
+void CLPadLayerKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const PaddingList &padding, PixelValue constant_value, PaddingMode mode)
 {
     // Perform validation step
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
diff --git a/src/core/CL/kernels/CLPermuteKernel.cpp b/src/core/CL/kernels/CLPermuteKernel.cpp
index 3f1f870802..bf8425c026 100644
--- a/src/core/CL/kernels/CLPermuteKernel.cpp
+++ b/src/core/CL/kernels/CLPermuteKernel.cpp
@@ -80,7 +80,7 @@ void CLPermuteKernel::configure(const ICLTensor *input, ICLTensor *output, const
     configure(CLKernelLibrary::get().get_compile_context(), input, output, perm);
 }
 
-void CLPermuteKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const PermutationVector &perm)
+void CLPermuteKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const PermutationVector &perm)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
     ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), perm));
diff --git a/src/core/CL/kernels/CLPixelWiseMultiplicationKernel.cpp b/src/core/CL/kernels/CLPixelWiseMultiplicationKernel.cpp
index 49f5e04433..585715a6e6 100644
--- a/src/core/CL/kernels/CLPixelWiseMultiplicationKernel.cpp
+++ b/src/core/CL/kernels/CLPixelWiseMultiplicationKernel.cpp
@@ -148,7 +148,7 @@ void CLPixelWiseMultiplicationKernel::configure(const ICLTensor *input1, const I
     configure(CLKernelLibrary::get().get_compile_context(), input1, input2, output, scale, overflow_policy, rounding_policy, act_info);
 }
 
-void CLPixelWiseMultiplicationKernel::configure(CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, float scale,
+void CLPixelWiseMultiplicationKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, float scale,
                                                 ConvertPolicy overflow_policy, RoundingPolicy rounding_policy, const ActivationLayerInfo &act_info)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input1, input2, output);
@@ -379,7 +379,7 @@ void CLComplexPixelWiseMultiplicationKernel::configure(const ICLTensor *input1,
     configure(CLKernelLibrary::get().get_compile_context(), input1, input2, output, act_info);
 }
 
-void CLComplexPixelWiseMultiplicationKernel::configure(CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info)
+void CLComplexPixelWiseMultiplicationKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input1, input2, output);
     ARM_COMPUTE_ERROR_THROW_ON(validate_arguments_complex(input1->info(), input2->info(), output->info(), act_info));
diff --git a/src/core/CL/kernels/CLPoolingLayerKernel.cpp b/src/core/CL/kernels/CLPoolingLayerKernel.cpp
index 43b8f85c39..cf1d7dd8dd 100644
--- a/src/core/CL/kernels/CLPoolingLayerKernel.cpp
+++ b/src/core/CL/kernels/CLPoolingLayerKernel.cpp
@@ -181,7 +181,7 @@ void CLPoolingLayerKernel::configure(const ICLTensor *input, ICLTensor *output,
     configure(CLKernelLibrary::get().get_compile_context(), input, output, pool_info, indices);
 }
 
-void CLPoolingLayerKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const PoolingLayerInfo &pool_info, ICLTensor *indices)
+void CLPoolingLayerKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const PoolingLayerInfo &pool_info, ICLTensor *indices)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
 
diff --git a/src/core/CL/kernels/CLPriorBoxLayerKernel.cpp b/src/core/CL/kernels/CLPriorBoxLayerKernel.cpp
index 9f930c54c2..07f669af62 100644
--- a/src/core/CL/kernels/CLPriorBoxLayerKernel.cpp
+++ b/src/core/CL/kernels/CLPriorBoxLayerKernel.cpp
@@ -105,7 +105,7 @@ void CLPriorBoxLayerKernel::configure(const ICLTensor *input1, const ICLTensor *
     configure(CLKernelLibrary::get().get_compile_context(), input1, input2, output, info, min, max, aspect_ratios);
 }
 
-void CLPriorBoxLayerKernel::configure(CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, const PriorBoxLayerInfo &info, cl::Buffer *min,
+void CLPriorBoxLayerKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, const PriorBoxLayerInfo &info, cl::Buffer *min,
                                       cl::Buffer *max, cl::Buffer *aspect_ratios)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input1, input2, output);
diff --git a/src/core/CL/kernels/CLQLSTMLayerNormalizationKernel.cpp b/src/core/CL/kernels/CLQLSTMLayerNormalizationKernel.cpp
index 187c517088..b9767e8ec2 100644
--- a/src/core/CL/kernels/CLQLSTMLayerNormalizationKernel.cpp
+++ b/src/core/CL/kernels/CLQLSTMLayerNormalizationKernel.cpp
@@ -78,7 +78,7 @@ CLQLSTMLayerNormalizationKernel::CLQLSTMLayerNormalizationKernel()
 {
 }
 
-void CLQLSTMLayerNormalizationKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const ICLTensor *weight, const ICLTensor *bias)
+void CLQLSTMLayerNormalizationKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const ICLTensor *weight, const ICLTensor *bias)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, weight, bias, output);
 
diff --git a/src/core/CL/kernels/CLQuantizationLayerKernel.cpp b/src/core/CL/kernels/CLQuantizationLayerKernel.cpp
index e017946673..b4b2217391 100644
--- a/src/core/CL/kernels/CLQuantizationLayerKernel.cpp
+++ b/src/core/CL/kernels/CLQuantizationLayerKernel.cpp
@@ -84,7 +84,7 @@ void CLQuantizationLayerKernel::configure(const ICLTensor *input, ICLTensor *out
     configure(CLKernelLibrary::get().get_compile_context(), input, output);
 }
 
-void CLQuantizationLayerKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output)
+void CLQuantizationLayerKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
     ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info()));
diff --git a/src/core/CL/kernels/CLROIAlignLayerKernel.cpp b/src/core/CL/kernels/CLROIAlignLayerKernel.cpp
index cc1af52342..de99223bbc 100644
--- a/src/core/CL/kernels/CLROIAlignLayerKernel.cpp
+++ b/src/core/CL/kernels/CLROIAlignLayerKernel.cpp
@@ -108,7 +108,7 @@ void CLROIAlignLayerKernel::configure(const ICLTensor *input, const ICLTensor *r
     configure(CLKernelLibrary::get().get_compile_context(), input, rois, output, pool_info);
 }
 
-void CLROIAlignLayerKernel::configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *rois, ICLTensor *output, const ROIPoolingLayerInfo &pool_info)
+void CLROIAlignLayerKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *rois, ICLTensor *output, const ROIPoolingLayerInfo &pool_info)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output, rois);
     ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), rois->info(), output->info(), pool_info));