[CK-Tile] move out memory operation from cshuffle epilogue class (#3359)

* initial poc

* factor out common parts in operator()

* cv4

* rest of the universal gemm pipelines

* fix test

* remove boilerplate from tile engine

* fix example

* fix example

* format

* fix tests build for gemm

* remove base pipeline codegen from gemm instance builder

* unify v3 logic with the rest of universal gemm pipelines

* fix build for multi abd test

* fix test gemm multi d

* fix build for weight preshuffle

* fix grouped gemm test

* fix grouped gemm multi d test

* fix grouped gemm preshuffle

* fix grouped gemm example except for quant

* fix gemm preshuffle

* fix splitk 2 stage example

* fix batched gemm example

* fix multid example

* fix multiabd example

* fix batched gemm test

* fixup

* fix examples build

* fix grouped gemm test build

* fix smoke builder

* hacky poc

* fix tile engine

* kill the lambda

* maybe fix test build

* more fixes

* clang-format

* save temp

* clang-format

* mostly fix examples

* clang-format

* remove dead code

* more cleanup

* fix fmha bwd build (default epilogue set/add appears to be broken)

* fix default epilogue tests but not correctness

* clang-format

* fix bquant

* clang-format

* cleanup dead code

* rearrange make windows for readability

* restore changes to IsSupportedArgument

* fix smoke-builder

* clang-format

* fixup rename class

* build fixes

* clang-format

* fix builder

* fixup

* remove set from builder tests

* fix test

* clang-format

* re-refactor the kernels

* clang-format

* fix header license

* remove memory operation from conv bwd test

* clang-format

* clang-format example,include

* clang-format test

* build fixes

* clang-format

* solve compilation error

* fix the CI

* solve compilation error

* clang format

* solve merge conflict

* solve merge conflict

* solve the gfx11 error

* solve test error

* moar build fixes

* remove AtomicAddRequiresKBatchGreaterThanOne test since the property is removed from the kernel scope

---------

Co-authored-by: Thomas Ning <Thomas.Ning@amd.com>

test/ck_tile/grouped_conv/test_ck_tile_grouped_conv_bwd_weight.cpp

@@ -42,8 +42,7 @@ template <typename PrecType,
           typename InLayout,
           typename WeiLayout,
           typename OutLayout,
-          memory_operation_enum MemOp = memory_operation_enum::set,
-          index_t NDimSpatial         = 2>
+          index_t NDimSpatial = 2>
 struct BuildKernel
 {
     using GemmShape = TileGemmShape<
@@ -123,7 +122,6 @@ struct BuildKernel
                                                     ConvConfig::N_Warp_Tile,
                                                     ConvConfig::K_Warp_Tile,
                                                     ConvTraits::FixedGemmParams::TransposeC,
-                                                    MemOp,
                                                     ConvConfig::NumWaveGroups,
                                                     ConvTraits::FixedGemmParams::FixedVectorSize,
                                                     ConvTraits::VectorSizeC>;
@@ -212,26 +210,6 @@ TEST_F(GroupedConvBwdWeightIsSupportedArgumentTest, InvalidKBatchLessThanOne)
     EXPECT_FALSE(Kernel::IsSupportedArgument(kargs));
 }
 
-TEST_F(GroupedConvBwdWeightIsSupportedArgumentTest, AtomicAddRequiresKBatchGreaterThanOne)
-{
-    using Kernel = typename BuildKernel<half_t,
-                                        TestConvConfig,
-                                        tensor_layout::convolution::NHWGC,
-                                        tensor_layout::convolution::GKYXC,
-                                        tensor_layout::convolution::NHWGK,
-                                        memory_operation_enum::atomic_add>::type;
-
-    // k_batch = 1 should fail with atomic_add
-    auto host_args_kbatch_1 = create_2d_host_args(1);
-    auto kargs_1 = typename Kernel::GroupedConvBwdWeightKernelArgsSpecialized(host_args_kbatch_1);
-    EXPECT_FALSE(Kernel::IsSupportedArgument(kargs_1));
-
-    // k_batch = 2 should pass
-    auto host_args_kbatch_2 = create_2d_host_args(2);
-    auto kargs_2 = typename Kernel::GroupedConvBwdWeightKernelArgsSpecialized(host_args_kbatch_2);
-    EXPECT_TRUE(Kernel::IsSupportedArgument(kargs_2));
-}
-
 TEST_F(GroupedConvBwdWeightIsSupportedArgumentTest, K0KBatchLimitation)
 {
     using Kernel = typename BuildKernel<half_t,