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>
diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.h
index d100efd..15fd208 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.h
@@ -72,7 +72,7 @@
* 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 9e3b198..43526b7 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedKernel.h
@@ -83,7 +83,7 @@
*
* @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 7beb5bb..1aba6c0 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel.h
@@ -100,7 +100,7 @@
* @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 f9ec558..bc982c6 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.h
@@ -84,7 +84,7 @@
* @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 032539b..583b388 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionOutputStageKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionOutputStageKernel.h
@@ -91,7 +91,7 @@
* @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 dd85d8a..1e9fde8 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel.h
@@ -76,7 +76,7 @@
* @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 f36076d..766ef9a 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleKernel.h
@@ -76,7 +76,7 @@
* @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 36cd7bf..6f58150 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel.h
@@ -81,7 +81,7 @@
* @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 fd95e00..0c237be 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel.h
@@ -84,7 +84,7 @@
* @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 1714a02..cb3e12e 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.h
@@ -84,7 +84,7 @@
* @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 4b610fa..857b1c7 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h
@@ -68,7 +68,7 @@
* - 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 @@
* - 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 @@
* - 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 037ec4d..df2f6f4 100644
--- a/arm_compute/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.h
@@ -56,7 +56,7 @@
* @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 fe34735..6085b34 100644
--- a/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h
@@ -83,7 +83,7 @@
* @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 370ef8b..c711a3d 100644
--- a/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyNativeKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyNativeKernel.h
@@ -82,7 +82,7 @@
* 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 45df676..ee8e57f 100644
--- a/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.h
@@ -101,7 +101,7 @@
*
* @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 b6285dd..f7d314a 100644
--- a/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.h
@@ -85,7 +85,7 @@
* 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 f31c5c2..6d70b4b 100644
--- a/arm_compute/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.h
@@ -58,7 +58,7 @@
* @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 e8e02ac..fe77fcb 100644
--- a/arm_compute/core/CL/kernels/CLGEMMReshapeLHSMatrixKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMReshapeLHSMatrixKernel.h
@@ -75,7 +75,7 @@
* 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 ada8889..0e6352b 100644
--- a/arm_compute/core/CL/kernels/CLGEMMReshapeRHSMatrixKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMReshapeRHSMatrixKernel.h
@@ -72,7 +72,7 @@
* 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 c91b95d..b753953 100644
--- a/arm_compute/core/CL/kernels/CLGatherKernel.h
+++ b/arm_compute/core/CL/kernels/CLGatherKernel.h
@@ -63,7 +63,7 @@
* @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 7eb7f7a..6a9d3ea 100644
--- a/arm_compute/core/CL/kernels/CLGaussian3x3Kernel.h
+++ b/arm_compute/core/CL/kernels/CLGaussian3x3Kernel.h
@@ -50,7 +50,7 @@
* @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 37a7727..d8730e0 100644
--- a/arm_compute/core/CL/kernels/CLGaussian5x5Kernel.h
+++ b/arm_compute/core/CL/kernels/CLGaussian5x5Kernel.h
@@ -48,7 +48,7 @@
* @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 @@
* @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 5acd7fd..34cd062 100644
--- a/arm_compute/core/CL/kernels/CLGaussianPyramidKernel.h
+++ b/arm_compute/core/CL/kernels/CLGaussianPyramidKernel.h
@@ -59,7 +59,7 @@
* @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 @@
* @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 abac4b7..46dc16d 100644
--- a/arm_compute/core/CL/kernels/CLGenerateProposalsLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLGenerateProposalsLayerKernel.h
@@ -62,7 +62,7 @@
* @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 1b1610e..0469505 100644
--- a/arm_compute/core/CL/kernels/CLHOGDescriptorKernel.h
+++ b/arm_compute/core/CL/kernels/CLHOGDescriptorKernel.h
@@ -65,7 +65,7 @@
* @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 @@
* @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 8a32642..681c212 100644
--- a/arm_compute/core/CL/kernels/CLHOGDetectorKernel.h
+++ b/arm_compute/core/CL/kernels/CLHOGDetectorKernel.h
@@ -80,7 +80,7 @@
* @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 ed91aaf..a13119b 100644
--- a/arm_compute/core/CL/kernels/CLHarrisCornersKernel.h
+++ b/arm_compute/core/CL/kernels/CLHarrisCornersKernel.h
@@ -79,7 +79,7 @@
* @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 b958959..524e5ea 100644
--- a/arm_compute/core/CL/kernels/CLHeightConcatenateLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLHeightConcatenateLayerKernel.h
@@ -66,7 +66,7 @@
* @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 bb0d0b3..9cd3747 100644
--- a/arm_compute/core/CL/kernels/CLHistogramKernel.h
+++ b/arm_compute/core/CL/kernels/CLHistogramKernel.h
@@ -60,7 +60,7 @@
* @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 @@
* @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 dddbf8d..1ccac5b 100644
--- a/arm_compute/core/CL/kernels/CLIm2ColKernel.h
+++ b/arm_compute/core/CL/kernels/CLIm2ColKernel.h
@@ -93,7 +93,7 @@
* @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 93490d8..014dce1 100644
--- a/arm_compute/core/CL/kernels/CLInstanceNormalizationLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLInstanceNormalizationLayerKernel.h
@@ -66,7 +66,7 @@
* @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 8e06887..6b6076a 100644
--- a/arm_compute/core/CL/kernels/CLIntegralImageKernel.h
+++ b/arm_compute/core/CL/kernels/CLIntegralImageKernel.h
@@ -47,7 +47,7 @@
* @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 @@
* @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 e4b7af7..169910b 100644
--- a/arm_compute/core/CL/kernels/CLL2NormalizeLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLL2NormalizeLayerKernel.h
@@ -70,7 +70,7 @@
* @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 3e938c9..f94602c 100644
--- a/arm_compute/core/CL/kernels/CLLKTrackerKernel.h
+++ b/arm_compute/core/CL/kernels/CLLKTrackerKernel.h
@@ -99,7 +99,7 @@
* @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 @@
* @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 @@
* @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 @@
* @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 757e3e4..e68160f 100644
--- a/arm_compute/core/CL/kernels/CLLocallyConnectedMatrixMultiplyKernel.h
+++ b/arm_compute/core/CL/kernels/CLLocallyConnectedMatrixMultiplyKernel.h
@@ -62,7 +62,7 @@
* @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 390da49..e0de3e7 100644
--- a/arm_compute/core/CL/kernels/CLMagnitudePhaseKernel.h
+++ b/arm_compute/core/CL/kernels/CLMagnitudePhaseKernel.h
@@ -72,7 +72,7 @@
* @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 ed0213a..96b4c4e 100644
--- a/arm_compute/core/CL/kernels/CLMeanStdDevKernel.h
+++ b/arm_compute/core/CL/kernels/CLMeanStdDevKernel.h
@@ -68,7 +68,7 @@
* @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 a21a6ee..ff0c96e 100644
--- a/arm_compute/core/CL/kernels/CLMeanStdDevNormalizationKernel.h
+++ b/arm_compute/core/CL/kernels/CLMeanStdDevNormalizationKernel.h
@@ -66,7 +66,7 @@
* @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 df40fcf..c68ab07 100644
--- a/arm_compute/core/CL/kernels/CLMedian3x3Kernel.h
+++ b/arm_compute/core/CL/kernels/CLMedian3x3Kernel.h
@@ -50,7 +50,7 @@
* @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 a2e61a1..430bc1d 100644
--- a/arm_compute/core/CL/kernels/CLMemsetKernel.h
+++ b/arm_compute/core/CL/kernels/CLMemsetKernel.h
@@ -63,7 +63,7 @@
* @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 7a31d71..5f9685f 100644
--- a/arm_compute/core/CL/kernels/CLMinMaxLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLMinMaxLayerKernel.h
@@ -59,7 +59,7 @@
* @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 e57f758..afb134f 100644
--- a/arm_compute/core/CL/kernels/CLMinMaxLocationKernel.h
+++ b/arm_compute/core/CL/kernels/CLMinMaxLocationKernel.h
@@ -61,7 +61,7 @@
* @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 @@
* @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 b255f0c..1f33735 100644
--- a/arm_compute/core/CL/kernels/CLNonLinearFilterKernel.h
+++ b/arm_compute/core/CL/kernels/CLNonLinearFilterKernel.h
@@ -63,7 +63,7 @@
* @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 084c77b..a256bc7 100644
--- a/arm_compute/core/CL/kernels/CLNonMaximaSuppression3x3Kernel.h
+++ b/arm_compute/core/CL/kernels/CLNonMaximaSuppression3x3Kernel.h
@@ -51,7 +51,7 @@
* @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 350b504..2511818 100644
--- a/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h
@@ -63,7 +63,7 @@
* 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 addd394..d247e1f 100644
--- a/arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h
@@ -67,7 +67,7 @@
* @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 09f7208..f051774 100644
--- a/arm_compute/core/CL/kernels/CLPadLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLPadLayerKernel.h
@@ -69,7 +69,7 @@
* @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 6414edb..1a9240e 100644
--- a/arm_compute/core/CL/kernels/CLPermuteKernel.h
+++ b/arm_compute/core/CL/kernels/CLPermuteKernel.h
@@ -65,7 +65,7 @@
* @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 a9cfcc5..52a09d9 100644
--- a/arm_compute/core/CL/kernels/CLPixelWiseMultiplicationKernel.h
+++ b/arm_compute/core/CL/kernels/CLPixelWiseMultiplicationKernel.h
@@ -79,7 +79,7 @@
* @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 @@
* @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 4ab6955..3957504 100644
--- a/arm_compute/core/CL/kernels/CLPoolingLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLPoolingLayerKernel.h
@@ -67,7 +67,7 @@
* @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 89fd656..5fd27d9 100644
--- a/arm_compute/core/CL/kernels/CLPriorBoxLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLPriorBoxLayerKernel.h
@@ -69,7 +69,7 @@
* @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 3206eda..1a2f311 100644
--- a/arm_compute/core/CL/kernels/CLQLSTMLayerNormalizationKernel.h
+++ b/arm_compute/core/CL/kernels/CLQLSTMLayerNormalizationKernel.h
@@ -63,7 +63,7 @@
* @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 a651529..de30447 100644
--- a/arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h
@@ -65,7 +65,7 @@
*
* @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 8f4485a..30bdbb1 100644
--- a/arm_compute/core/CL/kernels/CLROIAlignLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLROIAlignLayerKernel.h
@@ -79,7 +79,7 @@
* @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 bcf7156..760a862 100644
--- a/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.cpp
@@ -176,7 +176,7 @@
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 ebb00a4..eeedfda 100644
--- a/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedKernel.cpp
@@ -171,7 +171,7 @@
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 ad675df..0fdc899 100644
--- a/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel.cpp
@@ -320,7 +320,7 @@
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 fd2cc7a..dc8eb76 100644
--- a/src/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.cpp
@@ -148,7 +148,7 @@
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 d52fb21..26b318b 100644
--- a/src/core/CL/kernels/CLGEMMLowpOffsetContributionOutputStageKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpOffsetContributionOutputStageKernel.cpp
@@ -187,7 +187,7 @@
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 171dc48..f9f4839 100644
--- a/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel.cpp
@@ -120,7 +120,7 @@
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 ca85e8b..2db7d6d 100644
--- a/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleKernel.cpp
@@ -110,7 +110,7 @@
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 066307c..2306b00 100644
--- a/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel.cpp
@@ -121,7 +121,7 @@
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 b6d98e6..b4a7cc9 100644
--- a/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel.cpp
@@ -121,7 +121,7 @@
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 7f2f2e7..3158d59 100644
--- a/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.cpp
@@ -121,7 +121,7 @@
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 9fa253a..44f8797 100644
--- a/src/core/CL/kernels/CLGEMMLowpReductionKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpReductionKernel.cpp
@@ -91,7 +91,7 @@
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 @@
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 045ae28..03cd187 100644
--- a/src/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.cpp
@@ -82,7 +82,7 @@
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 9587a04..d2c7954 100644
--- a/src/core/CL/kernels/CLGEMMMatrixMultiplyKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMMatrixMultiplyKernel.cpp
@@ -310,7 +310,7 @@
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 af4b097..d5a5284 100644
--- a/src/core/CL/kernels/CLGEMMMatrixMultiplyNativeKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMMatrixMultiplyNativeKernel.cpp
@@ -217,7 +217,7 @@
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 eb01486..09e4e98 100644
--- a/src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.cpp
@@ -219,7 +219,7 @@
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 011e93d..13f8152 100644
--- a/src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.cpp
@@ -220,7 +220,7 @@
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 98a1dee..4e57259 100644
--- a/src/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.cpp
@@ -86,7 +86,7 @@
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 73e3106..3267a0e 100644
--- a/src/core/CL/kernels/CLGEMMReshapeLHSMatrixKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMReshapeLHSMatrixKernel.cpp
@@ -124,7 +124,7 @@
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 1623b1e5..4217932 100644
--- a/src/core/CL/kernels/CLGEMMReshapeRHSMatrixKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMReshapeRHSMatrixKernel.cpp
@@ -105,7 +105,7 @@
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 6bee66a..07b9282 100644
--- a/src/core/CL/kernels/CLGatherKernel.cpp
+++ b/src/core/CL/kernels/CLGatherKernel.cpp
@@ -92,7 +92,7 @@
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 0edf46b..210ffb9 100644
--- a/src/core/CL/kernels/CLGaussian3x3Kernel.cpp
+++ b/src/core/CL/kernels/CLGaussian3x3Kernel.cpp
@@ -44,7 +44,7 @@
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 98436b9..cb86467 100644
--- a/src/core/CL/kernels/CLGaussian5x5Kernel.cpp
+++ b/src/core/CL/kernels/CLGaussian5x5Kernel.cpp
@@ -32,7 +32,7 @@
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 @@
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 8486d45..73dbda2 100644
--- a/src/core/CL/kernels/CLGaussianPyramidKernel.cpp
+++ b/src/core/CL/kernels/CLGaussianPyramidKernel.cpp
@@ -47,7 +47,7 @@
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 @@
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 0f09152..8baac18 100644
--- a/src/core/CL/kernels/CLGenerateProposalsLayerKernel.cpp
+++ b/src/core/CL/kernels/CLGenerateProposalsLayerKernel.cpp
@@ -76,7 +76,7 @@
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 f79388e..e58b62e 100644
--- a/src/core/CL/kernels/CLHOGDescriptorKernel.cpp
+++ b/src/core/CL/kernels/CLHOGDescriptorKernel.cpp
@@ -51,7 +51,7 @@
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 @@
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 02fad20..bee9744 100644
--- a/src/core/CL/kernels/CLHOGDetectorKernel.cpp
+++ b/src/core/CL/kernels/CLHOGDetectorKernel.cpp
@@ -48,7 +48,7 @@
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 2c344c7..313d95f 100644
--- a/src/core/CL/kernels/CLHarrisCornersKernel.cpp
+++ b/src/core/CL/kernels/CLHarrisCornersKernel.cpp
@@ -59,7 +59,7 @@
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 8d9e1b9..5c0eb2a 100644
--- a/src/core/CL/kernels/CLHeightConcatenateLayerKernel.cpp
+++ b/src/core/CL/kernels/CLHeightConcatenateLayerKernel.cpp
@@ -94,7 +94,7 @@
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 5c44f6e..f16fa8c 100644
--- a/src/core/CL/kernels/CLHistogramKernel.cpp
+++ b/src/core/CL/kernels/CLHistogramKernel.cpp
@@ -56,7 +56,7 @@
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 @@
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 b24d250..078aad2 100644
--- a/src/core/CL/kernels/CLIm2ColKernel.cpp
+++ b/src/core/CL/kernels/CLIm2ColKernel.cpp
@@ -298,7 +298,7 @@
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 62a0485..0eb2c50 100644
--- a/src/core/CL/kernels/CLInstanceNormalizationLayerKernel.cpp
+++ b/src/core/CL/kernels/CLInstanceNormalizationLayerKernel.cpp
@@ -80,7 +80,7 @@
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 415531d..4c3445d 100644
--- a/src/core/CL/kernels/CLIntegralImageKernel.cpp
+++ b/src/core/CL/kernels/CLIntegralImageKernel.cpp
@@ -42,7 +42,7 @@
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 @@
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 1817d15..e04950d 100644
--- a/src/core/CL/kernels/CLL2NormalizeLayerKernel.cpp
+++ b/src/core/CL/kernels/CLL2NormalizeLayerKernel.cpp
@@ -100,7 +100,7 @@
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 3a7c1b5..a2948d3 100644
--- a/src/core/CL/kernels/CLLKTrackerKernel.cpp
+++ b/src/core/CL/kernels/CLLKTrackerKernel.cpp
@@ -45,7 +45,7 @@
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 @@
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 @@
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 @@
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 fb75058..04ad754 100644
--- a/src/core/CL/kernels/CLLocallyConnectedMatrixMultiplyKernel.cpp
+++ b/src/core/CL/kernels/CLLocallyConnectedMatrixMultiplyKernel.cpp
@@ -86,7 +86,7 @@
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 2c28e03..88c1034 100644
--- a/src/core/CL/kernels/CLMagnitudePhaseKernel.cpp
+++ b/src/core/CL/kernels/CLMagnitudePhaseKernel.cpp
@@ -50,7 +50,7 @@
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 5a6630d..de8b57e 100644
--- a/src/core/CL/kernels/CLMeanStdDevKernel.cpp
+++ b/src/core/CL/kernels/CLMeanStdDevKernel.cpp
@@ -68,7 +68,7 @@
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 11ef86e..4230570 100644
--- a/src/core/CL/kernels/CLMeanStdDevNormalizationKernel.cpp
+++ b/src/core/CL/kernels/CLMeanStdDevNormalizationKernel.cpp
@@ -88,7 +88,7 @@
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 cfc9591..3b1b6ad 100644
--- a/src/core/CL/kernels/CLMedian3x3Kernel.cpp
+++ b/src/core/CL/kernels/CLMedian3x3Kernel.cpp
@@ -42,7 +42,7 @@
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 9b37cb8..08bb0a6 100644
--- a/src/core/CL/kernels/CLMemsetKernel.cpp
+++ b/src/core/CL/kernels/CLMemsetKernel.cpp
@@ -47,7 +47,7 @@
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 c89bbcb..2ff9196 100644
--- a/src/core/CL/kernels/CLMinMaxLayerKernel.cpp
+++ b/src/core/CL/kernels/CLMinMaxLayerKernel.cpp
@@ -91,7 +91,7 @@
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 77c945b..dfa0555 100644
--- a/src/core/CL/kernels/CLMinMaxLocationKernel.cpp
+++ b/src/core/CL/kernels/CLMinMaxLocationKernel.cpp
@@ -65,7 +65,7 @@
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 @@
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 01b8733..5066c3b 100644
--- a/src/core/CL/kernels/CLNonLinearFilterKernel.cpp
+++ b/src/core/CL/kernels/CLNonLinearFilterKernel.cpp
@@ -60,7 +60,7 @@
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 dd6aa1e..7de7735 100644
--- a/src/core/CL/kernels/CLNonMaximaSuppression3x3Kernel.cpp
+++ b/src/core/CL/kernels/CLNonMaximaSuppression3x3Kernel.cpp
@@ -46,7 +46,7 @@
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 6284a6a..7c8c232 100644
--- a/src/core/CL/kernels/CLNormalizationLayerKernel.cpp
+++ b/src/core/CL/kernels/CLNormalizationLayerKernel.cpp
@@ -110,7 +110,7 @@
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 d46581e..2ca7716 100644
--- a/src/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.cpp
+++ b/src/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.cpp
@@ -100,7 +100,7 @@
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 764e2a4..82508ec 100644
--- a/src/core/CL/kernels/CLPadLayerKernel.cpp
+++ b/src/core/CL/kernels/CLPadLayerKernel.cpp
@@ -101,7 +101,7 @@
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 3f1f870..bf8425c 100644
--- a/src/core/CL/kernels/CLPermuteKernel.cpp
+++ b/src/core/CL/kernels/CLPermuteKernel.cpp
@@ -80,7 +80,7 @@
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 49f5e04..585715a 100644
--- a/src/core/CL/kernels/CLPixelWiseMultiplicationKernel.cpp
+++ b/src/core/CL/kernels/CLPixelWiseMultiplicationKernel.cpp
@@ -148,7 +148,7 @@
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 @@
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 43b8f85..cf1d7dd 100644
--- a/src/core/CL/kernels/CLPoolingLayerKernel.cpp
+++ b/src/core/CL/kernels/CLPoolingLayerKernel.cpp
@@ -181,7 +181,7 @@
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 9f930c5..07f669a 100644
--- a/src/core/CL/kernels/CLPriorBoxLayerKernel.cpp
+++ b/src/core/CL/kernels/CLPriorBoxLayerKernel.cpp
@@ -105,7 +105,7 @@
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 187c517..b9767e8 100644
--- a/src/core/CL/kernels/CLQLSTMLayerNormalizationKernel.cpp
+++ b/src/core/CL/kernels/CLQLSTMLayerNormalizationKernel.cpp
@@ -78,7 +78,7 @@
{
}
-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 e017946..b4b2217 100644
--- a/src/core/CL/kernels/CLQuantizationLayerKernel.cpp
+++ b/src/core/CL/kernels/CLQuantizationLayerKernel.cpp
@@ -84,7 +84,7 @@
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 cc1af52..de99223 100644
--- a/src/core/CL/kernels/CLROIAlignLayerKernel.cpp
+++ b/src/core/CL/kernels/CLROIAlignLayerKernel.cpp
@@ -108,7 +108,7 @@
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));