COMPMID-3280: Make all ML primitives for CL use the new interface - Part1 - Fix3
- const fix in the CLKernels part 3
Change-Id: I9cfb896f334145249a97c9287fa00399b8319a8e
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3075
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
diff --git a/arm_compute/core/CL/kernels/CLROIPoolingLayerKernel.h b/arm_compute/core/CL/kernels/CLROIPoolingLayerKernel.h
index 8ba1b35..ea70a58 100644
--- a/arm_compute/core/CL/kernels/CLROIPoolingLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLROIPoolingLayerKernel.h
@@ -77,7 +77,7 @@
* @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);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLRangeKernel.h b/arm_compute/core/CL/kernels/CLRangeKernel.h
index 5cc4a22..fc8db98 100644
--- a/arm_compute/core/CL/kernels/CLRangeKernel.h
+++ b/arm_compute/core/CL/kernels/CLRangeKernel.h
@@ -67,7 +67,7 @@
* @param[in] end The ending (not including) value of the sequence.
* @param[in] step The gap between each pair of values in the sequence.
*/
- void configure(CLCompileContext &compile_context, ICLTensor *output, float start, float end, float step);
+ void configure(const CLCompileContext &compile_context, ICLTensor *output, float start, float end, float step);
/** Static function to check if given info will lead to a valid configuration of @ref CLRangeKernel
*
* @param[in] output Output tensor info. Data types supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32.
diff --git a/arm_compute/core/CL/kernels/CLReductionOperationKernel.h b/arm_compute/core/CL/kernels/CLReductionOperationKernel.h
index bdab58b..0b0b4ae 100644
--- a/arm_compute/core/CL/kernels/CLReductionOperationKernel.h
+++ b/arm_compute/core/CL/kernels/CLReductionOperationKernel.h
@@ -69,7 +69,7 @@
* @param[in] op Reduction operation to perform. Operations supported: MEAN_SUM, PROD, SUM_SQUARE, SUM, MIN, MAX
* @param[in] width (Optional) In case of x-axis we also need to provide the width of the input image.
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, unsigned int axis, ReductionOperation op, unsigned int width = 0);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, unsigned int axis, ReductionOperation op, unsigned int width = 0);
/** Static function to check if given info will lead to a valid configuration of @ref CLReductionOperationKernel.
*
diff --git a/arm_compute/core/CL/kernels/CLRemapKernel.h b/arm_compute/core/CL/kernels/CLRemapKernel.h
index 14f4b2d..f3d1511 100644
--- a/arm_compute/core/CL/kernels/CLRemapKernel.h
+++ b/arm_compute/core/CL/kernels/CLRemapKernel.h
@@ -65,7 +65,7 @@
* @param[in] policy The interpolation type.
* @param[in] border_undefined True if the border mode is undefined. False if it's replicate or constant.
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *map_x, const ICLTensor *map_y, ICLTensor *output, InterpolationPolicy policy, bool border_undefined);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *map_x, const ICLTensor *map_y, ICLTensor *output, InterpolationPolicy policy, bool border_undefined);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLReorgLayerKernel.h b/arm_compute/core/CL/kernels/CLReorgLayerKernel.h
index 65304c1..9c06485 100644
--- a/arm_compute/core/CL/kernels/CLReorgLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLReorgLayerKernel.h
@@ -65,7 +65,7 @@
* @param[in] stride Stride value to use for reorganizing the values in the output tensor.
* It defines the spatial distance between 2 consecutive pixels in the x and y direction
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, int32_t stride);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, int32_t stride);
/** Static function to check if given info will lead to a valid configuration of @ref CLReorgLayerKernel
*
* @param[in] input Source tensor. Data types supported: All.
diff --git a/arm_compute/core/CL/kernels/CLReshapeLayerKernel.h b/arm_compute/core/CL/kernels/CLReshapeLayerKernel.h
index f9588e8..3ea7411 100644
--- a/arm_compute/core/CL/kernels/CLReshapeLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLReshapeLayerKernel.h
@@ -59,7 +59,7 @@
* @param[in] input Source tensor. Data type supported: All.
* @param[out] output Destination tensor. Data type supported: Same as @p input
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref CLReshapeLayerKernel
*
diff --git a/arm_compute/core/CL/kernels/CLReverseKernel.h b/arm_compute/core/CL/kernels/CLReverseKernel.h
index b1547cf..e8f4507 100644
--- a/arm_compute/core/CL/kernels/CLReverseKernel.h
+++ b/arm_compute/core/CL/kernels/CLReverseKernel.h
@@ -60,7 +60,7 @@
* @param[out] output Output tensor. Data type supported: Same as @p input
* @param[in] axis Axis tensor. Contains the indices of the dimensions to reverse. Data type supported: U32
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const ICLTensor *axis);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const ICLTensor *axis);
/** Static function to check if given info will lead to a valid configuration of @ref CLReverseKernel
*
diff --git a/arm_compute/core/CL/kernels/CLScaleKernel.h b/arm_compute/core/CL/kernels/CLScaleKernel.h
index 02dfb3e..328578d 100644
--- a/arm_compute/core/CL/kernels/CLScaleKernel.h
+++ b/arm_compute/core/CL/kernels/CLScaleKernel.h
@@ -57,7 +57,7 @@
* @param[in] sampling_policy (Optional) Sampling policy used by the interpolation. Defaults to @ref SamplingPolicy::CENTER
* @param[in] align_corners (Optional) Align corners of input and output, only affecting bilinear policy with TOP_LEFT sampling policy. Defaults to false.
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, InterpolationPolicy policy, BorderMode border_mode,
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, InterpolationPolicy policy, BorderMode border_mode,
SamplingPolicy sampling_policy = SamplingPolicy::CENTER, bool align_corners = false);
/** Static function to check if given info will lead to a valid configuration of @ref CLScaleKernel
diff --git a/arm_compute/core/CL/kernels/CLScharr3x3Kernel.h b/arm_compute/core/CL/kernels/CLScharr3x3Kernel.h
index 1cdb667..209a150 100644
--- a/arm_compute/core/CL/kernels/CLScharr3x3Kernel.h
+++ b/arm_compute/core/CL/kernels/CLScharr3x3Kernel.h
@@ -80,7 +80,7 @@
* @param[out] output_y (Optional) Destination tensor for the Y gradient, Data types supported: S16.
* @param[in] border_undefined True if the border mode is undefined. False if it's replicate or constant.
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output_x, ICLTensor *output_y, bool border_undefined);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output_x, ICLTensor *output_y, bool border_undefined);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLSelectKernel.h b/arm_compute/core/CL/kernels/CLSelectKernel.h
index 02f4ccc..5cbd985 100644
--- a/arm_compute/core/CL/kernels/CLSelectKernel.h
+++ b/arm_compute/core/CL/kernels/CLSelectKernel.h
@@ -68,7 +68,7 @@
* @param[out] y Second input tensor. Data types supported: Same as @p x
* @param[in] output Output tensor. Data types supported: Same as @p x.
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *c, const ICLTensor *x, const ICLTensor *y, ICLTensor *output);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *c, const ICLTensor *x, const ICLTensor *y, ICLTensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref CLSelectKernel
*
* @param[in] c Condition input tensor. Data types supported: U8.
diff --git a/arm_compute/core/CL/kernels/CLSobel3x3Kernel.h b/arm_compute/core/CL/kernels/CLSobel3x3Kernel.h
index 3970c07..4240fe8 100644
--- a/arm_compute/core/CL/kernels/CLSobel3x3Kernel.h
+++ b/arm_compute/core/CL/kernels/CLSobel3x3Kernel.h
@@ -66,7 +66,7 @@
* @param[out] output_y (Optional) Destination tensor for the Y gradient, Data types supported: S16.
* @param[in] border_undefined True if the border mode is undefined. False if it's replicate or constant.
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output_x, ICLTensor *output_y, bool border_undefined);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output_x, ICLTensor *output_y, bool border_undefined);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLSobel5x5Kernel.h b/arm_compute/core/CL/kernels/CLSobel5x5Kernel.h
index 0aff209..ef30f0e 100644
--- a/arm_compute/core/CL/kernels/CLSobel5x5Kernel.h
+++ b/arm_compute/core/CL/kernels/CLSobel5x5Kernel.h
@@ -67,7 +67,7 @@
* @param[out] output_y (Optional) Destination tensor for the Y gradient, Data types supported: S16.
* @param[in] border_undefined True if the border mode is undefined. False if it's replicate or constant.
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output_x, ICLTensor *output_y, bool border_undefined);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output_x, ICLTensor *output_y, bool border_undefined);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
@@ -121,7 +121,7 @@
* @param[out] output_y (Optional) Destination tensor for the Y gradient, Data types supported: S16.
* @param[in] border_undefined True if the border mode is undefined. False if it's replicate or constant.
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input_x, const ICLTensor *input_y, ICLTensor *output_x, ICLTensor *output_y, bool border_undefined);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input_x, const ICLTensor *input_y, ICLTensor *output_x, ICLTensor *output_y, bool border_undefined);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLSobel7x7Kernel.h b/arm_compute/core/CL/kernels/CLSobel7x7Kernel.h
index 31809b1..4eda5a4 100644
--- a/arm_compute/core/CL/kernels/CLSobel7x7Kernel.h
+++ b/arm_compute/core/CL/kernels/CLSobel7x7Kernel.h
@@ -67,7 +67,7 @@
* @param[out] output_y (Optional) Destination tensor for the Y gradient, Data types supported: S32.
* @param[in] border_undefined True if the border mode is undefined. False if it's replicate or constant.
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output_x, ICLTensor *output_y, bool border_undefined);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output_x, ICLTensor *output_y, bool border_undefined);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
@@ -121,7 +121,7 @@
* @param[out] output_y (Optional) Destination tensor for the Y gradient, Data types supported: S32.
* @param[in] border_undefined True if the border mode is undefined. False if it's replicate or constant.
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input_x, const ICLTensor *input_y, ICLTensor *output_x, ICLTensor *output_y, bool border_undefined);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input_x, const ICLTensor *input_y, ICLTensor *output_x, ICLTensor *output_y, bool border_undefined);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h b/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h
index 800d909..b174f49 100644
--- a/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h
@@ -49,7 +49,7 @@
* @param[in] input Source tensor. Data types supported: QASYMM8/F16/F32
* @param[out] output Destination tensor. Data types supported: same as @p input
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref CLLogits1DMaxKernel
*
* @param[in] input Source tensor. Data types supported: QASYMM8/F16/F32
@@ -92,7 +92,7 @@
* @param[out] sum Sum of 1D logits tensor. Data types supported: S32 for QASYMM8 @p input, or same as @p input
* @param[in] beta (Optional) A scaling factor for the exponent. Defaults to 1.0
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *max, ICLTensor *output, ICLTensor *sum, float beta = 1.0f);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *max, ICLTensor *output, ICLTensor *sum, float beta = 1.0f);
/** Static function to check if given info will lead to a valid configuration of @ref CLLogits1DShiftExpSumKernel
*
* @param[in] input Source tensor. Data types supported: QASYMM8/F16/F32
@@ -150,7 +150,7 @@
* @param[out] sum Sum of 1D logits tensor. Data types supported: same as @p input
* @param[in] info Contains information consumed by kernels for softmax described in @ref SoftmaxKernelInfo.
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *max, ICLTensor *output, ICLTensor *sum, const SoftmaxKernelInfo &info);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *max, ICLTensor *output, ICLTensor *sum, const SoftmaxKernelInfo &info);
/** Static function to check if given info will lead to a valid configuration of @ref CLLogits1DMaxShiftExpSumKernel
*
* @param[in] input Source tensor. Data types supported: F16/F32
@@ -217,7 +217,7 @@
* @param[out] output Destination tensor. Data types supported: QASYMM8 for S32 @p input, or same as @p input
* @param[in] info Contains information consumed by kernels for softmax described in @ref SoftmaxKernelInfo.
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *sum, ICLTensor *output, const SoftmaxKernelInfo &info);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *sum, ICLTensor *output, const SoftmaxKernelInfo &info);
/** Static function to check if given info will lead to a valid configuration of @ref CLLogits1DNormKernel
*
* @param[in] input Source tensor. Data types supported: S32/F16/F32
diff --git a/arm_compute/core/CL/kernels/CLSpaceToBatchLayerKernel.h b/arm_compute/core/CL/kernels/CLSpaceToBatchLayerKernel.h
index 34f0b66..799b7b1 100644
--- a/arm_compute/core/CL/kernels/CLSpaceToBatchLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLSpaceToBatchLayerKernel.h
@@ -63,7 +63,7 @@
* @param[in] paddings 2-D tensor with shape [2, M]. Data types supported: S32
* @param[out] output Tensor output. Data types supported: same as @p input
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output);
/** Initialise the kernel's input and output. (Static block shape and paddings)
*
* @param[in] input Tensor input. Supported tensor rank: 4. Data types supported: All.
@@ -84,7 +84,7 @@
* @param[in] padding_right The right padding of the output tensor.
* @param[out] output Tensor output. Data types supported: same as @p input
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, ICLTensor *output);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, ICLTensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref CLSpaceToBatchLayerKernel
*
* @param[in] input Tensor input. Supported tensor rank: 4. Data types supported: All.
diff --git a/arm_compute/core/CL/kernels/CLSpaceToDepthLayerKernel.h b/arm_compute/core/CL/kernels/CLSpaceToDepthLayerKernel.h
index 3f20f66..f2371e7 100644
--- a/arm_compute/core/CL/kernels/CLSpaceToDepthLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLSpaceToDepthLayerKernel.h
@@ -61,7 +61,7 @@
* @param[out] output Tensor output. Data types supported: same as @p input
* @param[in] block_shape Block shape value.
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, int32_t block_shape);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, int32_t block_shape);
/** Static function to check if given info will lead to a valid configuration of @ref CLSpaceToDepthLayerKernel.
*
* @param[in] input Tensor input info. Supported tensor rank: 4. Data types supported: All.
diff --git a/arm_compute/core/CL/kernels/CLStackLayerKernel.h b/arm_compute/core/CL/kernels/CLStackLayerKernel.h
index 19925c2..e11c0a3 100644
--- a/arm_compute/core/CL/kernels/CLStackLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLStackLayerKernel.h
@@ -74,7 +74,7 @@
* @param[out] output Output tensor. Data types supported: Same as @p input.
*
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, unsigned int axis, unsigned int idx_input, unsigned int num_tensors, ICLTensor *output);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, unsigned int axis, unsigned int idx_input, unsigned int num_tensors, ICLTensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref CLStackLayerKernel
*
* @note Supported input tensor rank: up to 4
diff --git a/arm_compute/core/CL/kernels/CLStridedSliceKernel.h b/arm_compute/core/CL/kernels/CLStridedSliceKernel.h
index 2e66882..ebe1b38 100644
--- a/arm_compute/core/CL/kernels/CLStridedSliceKernel.h
+++ b/arm_compute/core/CL/kernels/CLStridedSliceKernel.h
@@ -82,7 +82,7 @@
* @param[in] shrink_axis_mask If the ith bit of shrink_axis_mask is set, it implies that the ith specification shrinks the dimensionality by 1.
* A slice of size 1 starting from starts[i] in the dimension must be preserved.
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output,
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output,
const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask);
diff --git a/arm_compute/core/CL/kernels/CLTableLookupKernel.h b/arm_compute/core/CL/kernels/CLTableLookupKernel.h
index 9bbaf26..24e333f 100644
--- a/arm_compute/core/CL/kernels/CLTableLookupKernel.h
+++ b/arm_compute/core/CL/kernels/CLTableLookupKernel.h
@@ -49,7 +49,7 @@
* @param[in] lut The input LUT. Data types supported: U8, S16.
* @param[out] output The output tensor. Data types supported: U8, S16.
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLLut *lut, ICLTensor *output);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLLut *lut, ICLTensor *output);
};
} // namespace arm_compute
#endif /* ARM_COMPUTE_CLTABLELOOKUPKERNEL_H */
diff --git a/arm_compute/core/CL/kernels/CLThresholdKernel.h b/arm_compute/core/CL/kernels/CLThresholdKernel.h
index 79e9f01..3db4870 100644
--- a/arm_compute/core/CL/kernels/CLThresholdKernel.h
+++ b/arm_compute/core/CL/kernels/CLThresholdKernel.h
@@ -62,7 +62,7 @@
* @param[in] type Thresholding type. Either RANGE or BINARY.
* @param[in] upper Upper threshold. Only used when the thresholding type is RANGE.
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, uint8_t threshold,
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, uint8_t threshold,
uint8_t false_value, uint8_t true_value, ThresholdType type, uint8_t upper);
};
} // namespace arm_compute
diff --git a/arm_compute/core/CL/kernels/CLTileKernel.h b/arm_compute/core/CL/kernels/CLTileKernel.h
index 1c9186c..68f3c92 100644
--- a/arm_compute/core/CL/kernels/CLTileKernel.h
+++ b/arm_compute/core/CL/kernels/CLTileKernel.h
@@ -64,7 +64,7 @@
* @param[out] output Destination tensor. Same as @p input
*
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const Multiples &multiples);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const Multiples &multiples);
/** Static function to check if given info will lead to a valid configuration of @ref CLTileKernel
*
* @param[in] input Source tensor info. Data type supported: All.
diff --git a/arm_compute/core/CL/kernels/CLTransposeKernel.h b/arm_compute/core/CL/kernels/CLTransposeKernel.h
index 37bd716..09c9e3b 100644
--- a/arm_compute/core/CL/kernels/CLTransposeKernel.h
+++ b/arm_compute/core/CL/kernels/CLTransposeKernel.h
@@ -50,7 +50,7 @@
* @param[in] input Input tensor. Data types supported: All.
* @param[out] output Output tensor. Data type supported: Same as @p input
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref CLTransposeKernel
*
* @param[in] input Input tensor. Data types supported: All.
diff --git a/arm_compute/core/CL/kernels/CLUpsampleLayerKernel.h b/arm_compute/core/CL/kernels/CLUpsampleLayerKernel.h
index 556e548..e6b4209 100644
--- a/arm_compute/core/CL/kernels/CLUpsampleLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLUpsampleLayerKernel.h
@@ -63,7 +63,7 @@
* @param[in] info Contains stride information described in @ref Size2D.
* @param[in] upsampling_policy Defines the policy to fill the intermediate pixels.
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const Size2D &info, const InterpolationPolicy upsampling_policy);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const Size2D &info, const InterpolationPolicy upsampling_policy);
/** Static function to check if given info will lead to a valid configuration of @ref CLUpsampleLayerKernel
*
* @param[in] input Source tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
diff --git a/arm_compute/core/CL/kernels/CLWarpAffineKernel.h b/arm_compute/core/CL/kernels/CLWarpAffineKernel.h
index bd26705..a21325e 100644
--- a/arm_compute/core/CL/kernels/CLWarpAffineKernel.h
+++ b/arm_compute/core/CL/kernels/CLWarpAffineKernel.h
@@ -53,7 +53,7 @@
* The matrix argument requires 9 values, the last 3 values are ignored.
* @param[in] policy The interpolation type.
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const std::array<float, 9> &matrix, InterpolationPolicy policy);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const std::array<float, 9> &matrix, InterpolationPolicy policy);
// Inherited methods overridden:
BorderSize border_size() const override;
diff --git a/arm_compute/core/CL/kernels/CLWarpPerspectiveKernel.h b/arm_compute/core/CL/kernels/CLWarpPerspectiveKernel.h
index 4f4ff34..bb1a018 100644
--- a/arm_compute/core/CL/kernels/CLWarpPerspectiveKernel.h
+++ b/arm_compute/core/CL/kernels/CLWarpPerspectiveKernel.h
@@ -50,7 +50,7 @@
* @param[in] matrix The perspective matrix. Must be 3x3 of type float.
* @param[in] policy The interpolation type.
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const std::array<float, 9> &matrix, InterpolationPolicy policy);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const std::array<float, 9> &matrix, InterpolationPolicy policy);
// Inherited methods overridden:
BorderSize border_size() const override;
diff --git a/arm_compute/core/CL/kernels/CLWeightsReshapeKernel.h b/arm_compute/core/CL/kernels/CLWeightsReshapeKernel.h
index f09eea9..47e987b 100644
--- a/arm_compute/core/CL/kernels/CLWeightsReshapeKernel.h
+++ b/arm_compute/core/CL/kernels/CLWeightsReshapeKernel.h
@@ -92,7 +92,7 @@
* @param[in] num_groups (Optional) Number of groups when performing a grouped convolution. num_groups != 1 is only supported for NCHW data layout
* Number of groups greater than one are only supported for NCHW data layout, and the number of weights must be a multiple of it.
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *biases, ICLTensor *output, unsigned int num_groups = 1);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *biases, ICLTensor *output, unsigned int num_groups = 1);
/** Static function to check if given info will lead to a valid configuration of @ref CLWeightsReshapeKernel
*
* @param[in] input The input tensor to convert. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] if shared,
diff --git a/arm_compute/core/CL/kernels/CLWidthConcatenate2TensorsKernel.h b/arm_compute/core/CL/kernels/CLWidthConcatenate2TensorsKernel.h
index 50abf65..a39ccc2 100644
--- a/arm_compute/core/CL/kernels/CLWidthConcatenate2TensorsKernel.h
+++ b/arm_compute/core/CL/kernels/CLWidthConcatenate2TensorsKernel.h
@@ -64,7 +64,7 @@
* @param[in] input2 Second input tensor. Data types supported: same as @p input1
* @param[out] output Output tensor. Data types supported: Same as @p input1.
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref CLWidthConcatenate2TensorsKernel
*
* @param[in] input1 First tensor info. Data types supported: All.
diff --git a/arm_compute/core/CL/kernels/CLWidthConcatenate4TensorsKernel.h b/arm_compute/core/CL/kernels/CLWidthConcatenate4TensorsKernel.h
index f203602..0e0eae6 100644
--- a/arm_compute/core/CL/kernels/CLWidthConcatenate4TensorsKernel.h
+++ b/arm_compute/core/CL/kernels/CLWidthConcatenate4TensorsKernel.h
@@ -68,7 +68,7 @@
* @param[in] input4 Fourth input tensor. Data types supported: same as @p input1
* @param[out] output Output tensor. Data types supported: Same as @p input1.
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, const ICLTensor *input3, const ICLTensor *input4, ICLTensor *output);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, const ICLTensor *input3, const ICLTensor *input4, ICLTensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref CLWidthConcatenate4TensorsKernel
*
* @param[in] input1 First tensor info. Data types supported: All.
diff --git a/arm_compute/core/CL/kernels/CLWidthConcatenateLayerKernel.h b/arm_compute/core/CL/kernels/CLWidthConcatenateLayerKernel.h
index 4564d77..ef5851f 100644
--- a/arm_compute/core/CL/kernels/CLWidthConcatenateLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLWidthConcatenateLayerKernel.h
@@ -66,7 +66,7 @@
* @param[in,out] output Output tensor. Data types supported: Same as @p input.
*
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, unsigned int width_offset, ICLTensor *output);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, unsigned int width_offset, ICLTensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref CLWidthConcatenateLayerKernel
*
* @param[in] input Input tensor info. Data types supported: All.
diff --git a/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h b/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h
index bc7573d..5b2dc8c 100644
--- a/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h
+++ b/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h
@@ -82,7 +82,7 @@
* @param[out] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_filter_transform_shape. Data types supported: Same as @p input
* @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const WinogradInfo &winograd_info);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const WinogradInfo &winograd_info);
/** Static function to check if given info will lead to a valid configuration of @ref CLWinogradFilterTransformKernel
*
* @note Winograd filter transform supports the following configurations for NCWH data layout
diff --git a/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h b/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h
index 6bb8d6e..a305126 100644
--- a/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h
+++ b/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h
@@ -80,7 +80,7 @@
* @param[in] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_input_transform_shape. Data types supported: Same as @p input
* @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo.
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const WinogradInfo &winograd_info);
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const WinogradInfo &winograd_info);
/** Static function to check if given info will lead to a valid configuration of @ref CLWinogradInputTransformKernel
*
* @note Winograd input transform supports the following configurations for NCWH data layout
diff --git a/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h b/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h
index aab244b..512b352 100644
--- a/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h
+++ b/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h
@@ -86,7 +86,7 @@
* @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*/
- void configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, const WinogradInfo &winograd_info,
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, const WinogradInfo &winograd_info,
const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Static function to check if given info will lead to a valid configuration of @ref CLWinogradOutputTransformKernel
diff --git a/arm_compute/core/CL/kernels/CLYOLOLayerKernel.h b/arm_compute/core/CL/kernels/CLYOLOLayerKernel.h
index c03fc94..d0c4a9e 100644
--- a/arm_compute/core/CL/kernels/CLYOLOLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLYOLOLayerKernel.h
@@ -73,7 +73,7 @@
* @param[in] act_info Activation layer information.
* @param[in] num_classes Number of classes to activate (must be submultiple of @p input channels)
*/
- void configure(CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const ActivationLayerInfo &act_info, int32_t num_classes);
+ void configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const ActivationLayerInfo &act_info, int32_t num_classes);
/** Static function to check if given info will lead to a valid configuration of @ref CLYOLOLayerKernel
*
* @param[in] input Source tensor info. In case of @p output tensor info = nullptr, this tensor will store the result