Adding remaining conv, dynamic_op, and scaleadd_scaleadd_relu flavors for grouped conv fwd (#3529)

* Adding remaining flavors for grouped conv fwd

As titled. Following variants are added:
- grouped_conv2d_fwd_dynamic_op
- grouped_conv3d_fwd_dynamic_op
- grouped_conv3d_fwd_bilinear
- grouped_conv3d_fwd_convscale
- grouped_conv3d_fwd_convinvscale
- grouped_conv3d_fwd_convscale_add
- grouped_conv3d_fwd_convscale_relu
- grouped_conv3d_fwd_scale
- grouped_conv3d_fwd_combconvscale
- grouped_conv3d_fwd_scaleadd_scaleadd_relu

* Fix incomplete parsing of types from source names in add_instance_library() cmakelists function so we don't build f8 on RDNA3.

* Do not build f8 / bf8 only flavor tests on RDNA3

* Make sure we have proper generic instances for all instance lists related to the post-ces extra flavors, with scalarPerVector = 1. Then disable all but one generic instance per instance list to reduce compile time.

* Post rebase fix: Template parameters for Grouped Conv Fwd Device Impl got tweaked upstream.

* adding int8 and fp16 overloads to the elementwise operations

* fixed copilot nits

* Addressing review comments:

- removed unnecessary examples for dynamic op
- removed unnecessary conv specalizations for all the flavors
- removed spurious bilinear and scale source files

* clang-format

* reduced no of tests

---------

Co-authored-by: Wojciech Laskowski <wojciech.laskowski@streamhpc.com>

include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer_v7r3.hpp

@@ -293,6 +293,7 @@ struct ThreadwiseTensorSliceTransfer_v7r3
                 // convolution forward. For some reason for that specific type there is an ambiguity
                 // in the type resolution for the ternary expression. I added an explicit cast to
                 // disambiguate and only use it for f8 just in case it affects performance.
+                // TODO: Add same exception for ck::f8_fnuz_t?
                 if constexpr(is_same_v<scalar_t, ck::f8_ocp_t>)
                 {
                     elm_vectors(i).template AsType<elm_vector_t>()(I0) =