[mlir][gpu][spirv] Add conversion for gpu.subgroup_mma_elementwise mulf

gpu.subgroup_mma_elementwise supports mulf op type. Add conversion
for it.

Author: Hsiangkai

mlir/lib/Conversion/GPUToSPIRV/WmmaOpsToSPIRV.cpp

@@ -55,6 +55,9 @@ static bool createElementwiseOp(ConversionPatternRewriter &builder,
   case gpu::MMAElementwiseOp::SUBI:
     builder.replaceOpWithNewOp<spirv::ISubOp>(op, coopType, operands);
     return true;
+  case gpu::MMAElementwiseOp::MULF:
+    builder.replaceOpWithNewOp<spirv::FMulOp>(op, coopType, operands);
+    return true;
   case gpu::MMAElementwiseOp::DIVF:
     builder.replaceOpWithNewOp<spirv::FDivOp>(op, coopType, operands);
     return true;

mlir/test/Conversion/GPUToSPIRV/wmma-ops-to-spirv-khr-coop-matrix.mlir

@@ -136,14 +136,17 @@ module attributes {
       // CHECK:  {{%.*}} = spirv.FDiv {{%.*}}, {{%.*}} : !spirv.coopmatrix<16x16xf16, Subgroup, MatrixAcc>
       %E = gpu.subgroup_mma_elementwise divf %D, %A :
         (!gpu.mma_matrix<16x16xf16, "COp">, !gpu.mma_matrix<16x16xf16, "COp">) -> !gpu.mma_matrix<16x16xf16, "COp">
+      // CHECK:  {{%.*}} = spirv.FMul {{%.*}}, {{%.*}} : !spirv.coopmatrix<16x16xf16, Subgroup, MatrixAcc>
+      %F = gpu.subgroup_mma_elementwise mulf %E, %A :
+        (!gpu.mma_matrix<16x16xf16, "COp">, !gpu.mma_matrix<16x16xf16, "COp">) -> !gpu.mma_matrix<16x16xf16, "COp">
       // CHECK:  {{%.*}} = spirv.FConvert {{%.*}} :
       // CHECK-SAME: !spirv.coopmatrix<16x16xf16, Subgroup, MatrixAcc> to !spirv.coopmatrix<16x16xf32, Subgroup, MatrixAcc>
-      %F = gpu.subgroup_mma_elementwise extf %E :
+      %G = gpu.subgroup_mma_elementwise extf %F :
         (!gpu.mma_matrix<16x16xf16, "COp">) -> !gpu.mma_matrix<16x16xf32, "COp">
 
       %i = arith.constant 0 : index
       // CHECK: spirv.KHR.CooperativeMatrixStore %{{.+}}, %{{.+}}, %{{.+}}, <RowMajor>
-      gpu.subgroup_mma_store_matrix %F, %ptr[%i,%i] {leadDimension = 32 : index} :
+      gpu.subgroup_mma_store_matrix %G, %ptr[%i,%i] {leadDimension = 32 : index} :
         !gpu.mma_matrix<16x16xf32, "COp">, memref<16x16xf32, #spirv.storage_class<StorageBuffer>>
       // CHECK: spirv.Return
       gpu.return