COMPMID-765: Sanitize permutation vector for Permute.

If permutation vector is bigger than the tensorshape to permute then
infer dimensions of size one for the extra dimensions.

Change-Id: I5addb292f770d925f47f756902e16073039e8f71
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/120473
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Stefana Simion <stefana.simion@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

1 files changed, 5 insertions, 2 deletions

diff --git a/tests/validation/NEON/DepthwiseConvolutionLayer.cpp b/tests/validation/NEON/DepthwiseConvolutionLayer.cpp
index 47e8896fd6..0cdd4c0296 100644
--- a/tests/validation/NEON/DepthwiseConvolutionLayer.cpp
+++ b/tests/validation/NEON/DepthwiseConvolutionLayer.cpp
@@ -82,8 +82,11 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::da
     validate(bias.info()->valid_region(), bias_valid_region);
 
     // Validate padding
-    const int         step    = 16 >> info.stride().first;
-    const PaddingSize padding = PaddingCalculator(output_shape.x(), step).required_padding();
+    bool              is_optimized_run = NEDepthwiseConvolutionLayer3x3Kernel::is_optimized_execution_possible(input_shape, info, data_type, DataLayout::NCHW);
+    const int         step_non_opt_dwc = 16 >> info.stride().first;
+    const int         step_bias_add    = 16 / src.info()->element_size();
+    const int         step             = is_optimized_run ? step_bias_add : std::max(step_non_opt_dwc, step_bias_add);
+    const PaddingSize padding          = PaddingCalculator(output_shape.x(), step).required_padding();
     validate(dst.info()->padding(), padding);
 }