Adding no padding check asserts to specific CL Kernels

Resolves COMPMID-3905

Updates following kernels::
- CLDeconvolutionLayerUpsampleKernel
- CLDeconvolutionReshapeOutputKernel
- CLInstanceNormalizationLayerKernel
- CLMaxUnpoolingLayerKernel
- CLPermuteKernel
- CLQLSTMLayerNormalizationKernel
- CLReorgLayerKernel
- CLReverseKernel
- CLSpaceToBatchLayerKernel
- CLSpaceToDepthLayerKernel
- CLGenerateProposalsLayerKernel
- CLFFTDigitReverseKernel
- CLFFTRadixStageKernel
- CLFFTScaleKernel
- CLFillBorderKernel
- CLGatherKernel
- CLStridedSliceKernel
- CLBoundingBoxTransformKernel

Change-Id: I067ec670ff9cceadb1dfbf60dabef311a567d99a
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4713
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
diff --git a/src/core/CL/kernels/CLQLSTMLayerNormalizationKernel.cpp b/src/core/CL/kernels/CLQLSTMLayerNormalizationKernel.cpp
index 3a66d08..ccc6178 100644
--- a/src/core/CL/kernels/CLQLSTMLayerNormalizationKernel.cpp
+++ b/src/core/CL/kernels/CLQLSTMLayerNormalizationKernel.cpp
@@ -88,6 +88,7 @@
 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);
+    auto padding_info = get_padding_info({ input, weight, bias, output });
 
     ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), weight->info(), bias->info()));
 
@@ -129,6 +130,7 @@
     _config_id += support::cpp11::to_string(input->info()->dimension(0));
     _config_id += "_";
     _config_id += support::cpp11::to_string(input->info()->dimension(1));
+    ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info));
 }
 
 void CLQLSTMLayerNormalizationKernel::configure(const ICLTensor *input, ICLTensor *output, const ICLTensor *weight, const ICLTensor *bias)