Mixed data-layout testing on high priority operators

Change data layouts after the configure in validation tests for:
  - Scale
  - Pooling
  - FullyConnected
  - DepthwiseConvolution
  - DirectConvolution
  - FFTConvolution
  - WinogradConvolution
  - GEMMConvolution (Indirect GEMM included)
Extending fixtures

Fixes for new mixed data layout tests

Resolves: COMPMID-4162
Change-Id: I2f2eb2075f7e24ab3872249d88cadb57b82c5dde
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5326
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>

1 files changed, 1 insertions, 1 deletions

diff --git a/src/core/cpu/kernels/pooling/neon/nchw/all.cpp b/src/core/cpu/kernels/pooling/neon/nchw/all.cpp
index 47ac7b4f7f..80eac684aa 100644
--- a/src/core/cpu/kernels/pooling/neon/nchw/all.cpp
+++ b/src/core/cpu/kernels/pooling/neon/nchw/all.cpp
@@ -150,7 +150,7 @@ void pooling2_nchw_maxpool_indices(const ITensor *src, ITensor *dst0, ITensor *d
         *(reinterpret_cast<T *>(out.ptr())) = static_cast<T>(vget_lane_f32(max_data, 0));
 
         // Calculate max data indice, which will be used in max unpool.
-        const uint32_t   offset_base              = offset_no_padding<T>(in.offset(), id, *src->info(), pool_stride_x, pool_stride_y);
+        const uint32_t   offset_base              = offset_no_padding<T>(in.offset(), id, *src->info(), pool_stride_x, pool_stride_y, DataLayout::NCHW);
         const uint32_t   offset_top               = (uint32_t)(offset_base / sizeof(T));
         const uint32_t   offset_bottom            = offset_top + in_stride_y / sizeof(T) - pad_right - pad_left;
         const uint32x2_t voffset_top              = { offset_top, offset_top + 1u };