[CK_BUILDER] Add DeviceGroupedConvFwdMultipleABD_Wmma_CShuffle_V3 to CK Builder (#5284)

Add factory, InstanceTraits, and conv traits support for the WMMA V3
forward convolution kernel, enabling the CK Builder to generate and
dispatch this kernel variant used by MIOpen on gfx11/gfx12 GPUs.

## Motivation

As reported in issue #4944, MIOpen includes WMMA V3 forward convolution
kernels, so this PR adds support for those kernels similarly to other
supported kernels.

## Technical Details

This follows the same implementation as the other kernels. I added some
support for reflection, but I left a few todos since we need to
generalize our convolution traits to generalize across WMMA/MFMA and
CK/CKTile.

## Test Plan

Added faster tests to `ninja smoke-builder` that check the
instance-traits logic, and I added longer tests that instantiate
kernels, following the existing pattern in other kernals.

## Test Result

I tested all code with `ninja check-builder` on a gfx1101 build and ran
on gfx1101.

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>

experimental/builder/test/impl/conv_algorithm_types.hpp

@@ -632,6 +632,14 @@ using ConvAlgorithm_DeviceGroupedConvFwdMultipleABD_Xdl_CShuffle_V3 =
                           BlockGemm_,
                           GemmBatchOptions_>;
 
+using ConvAlgorithm_DeviceGroupedConvFwdMultipleABD_Wmma_CShuffle_V3 =
+    ConvAlgorithmTemplate<ThreadBlock_,
+                          WmmaGemmABK1_,
+                          Transfer_<>,
+                          ConvSpecializationFwd_,
+                          BlockGemm_,
+                          GemmBatchOptions_>;
+
 using ConvAlgorithm_DeviceGroupedConvFwdMultipleD_Wmma_CShuffle =
     ConvAlgorithmTemplate<ThreadBlock_,
                           WmmaGemm_,