Optimize CL and Neon Winograd tests

Several test optimizations have been introduced into Winograd tests for Gpu and Cpu backends. The testing strategy has been detailed as a comment header in the test design files.

In summary
    - Very large shapes in the nightly are made smaller
    - If the underlying kernel is the same for different data types, we only need to stress some key aspects of the kernels (e.g. read/write lengths in case of fp32/fp16).
    - In case the underlying kernel is the same (OpenCL), Fp16 is tested on a subset of the shapes
    - In Cpu, there is no need to test every combination for both NCHW and NHWC as we just permute the inputs and use NHWC kernels anyways
    - All activations does not need to be tested for each and every shape

Resolves: COMPMID-6464
Change-Id: Ie25fded85c65b9c7386dc21b23f9b695b1e77b07
Signed-off-by: Gunes Bayir <gunes.bayir@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10393
Reviewed-by: Jakub Sujak <jakub.sujak@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>

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