fix sdpa op definition

Author: yifeizh2

include/gc/Dialect/Linalgx/LinalgxOps.td

@@ -11,8 +11,33 @@
 
 include "LinalgxDialect.td"
 
+include "mlir/Dialect/Linalg/IR/LinalgBase.td"
+include "mlir/Dialect/Linalg/IR/LinalgInterfaces.td"
+
 // Base class for Linalg dialect ops that do not correspond to library calls.
 class Linalgx_Op<string mnemonic, list<Trait> traits = []> :
     Op<LinalgxDialect, mnemonic, traits>;
 
+def Linalgx_ScaledDotProductAttentionOp
+ : Linalgx_Op<"scaled_dot_product_attention",
+  [AttrSizedOperandSegments,
+   DeclareOpInterfaceMethods<AggregatedOpInterface, ["decomposeOperation"]>]> {
+  let summary = "Attention structure.";
+  let description = [{
+    Q, K, V, attention_mask.
+    Output = SoftMax(Q @ K.transpose(-2, -1) + attention_mask) @ V.
+  }];
+  let arguments = (ins
+      Variadic<AnyRankedTensor>:$inputs,
+      Variadic<AnyRankedTensor>:$outputs);
+  let results = (outs Variadic<AnyRankedTensor>:$results);
+
+  let hasVerifier = 1;
+  let assemblyFormat = [{
+    attr-dict
+    `ins` `(` $inputs `:` type($inputs) `)`
+    `outs` `(` $outputs `:` type($outputs) `)`
+    (`->` type($results)^)?
+  }];
+}
 #endif // LINALGX_OPS

include/gc/Dialect/Linalgx/LinalgxStructuredOps.td

@@ -23,9 +23,6 @@ include "mlir/Interfaces/InferTypeOpInterface.td"
 include "mlir/Interfaces/SideEffectInterfaces.td"
 include "mlir/IR/OpAsmInterface.td"
 
-class Linalgx_Op<string mnemonic, list<Trait> traits = []> :
-    Op<LinalgxDialect, mnemonic, traits>;
-
 // Base Tablegen class for Linalg ops.
 // Linalg ops that correspond to library calls operate on ShapedType as their
 // first operands. These may be optionally followed by non-view operands
@@ -315,27 +312,4 @@ def Linalgx_MultiBatchMatmulOp : LinalgxStructuredBase_Op<"multi_batch_matmul",
   }];
 }
 
-def Linalgx_ScaledDotProductAttentionOp
- : Linalgx_Op<"scaled_dot_product_attention", 
-      [AttrSizedOperandSegments,
-      DeclareOpInterfaceMethods<AggregatedOpInterface, ["decomposeOperation"]>]> {
-  let summary = "Attention structure.";
-  let description = [{
-    Q, K, V, attention_mask.
-    Output = SoftMax(Q @ K.transpose(-2, -1) + attention_mask) @ V.
-  }];
-  let arguments = (ins
-      Variadic<TensorOrMemref>:$inputs,
-      Variadic<TensorOrMemref>:$outputs);
-  let results = (outs Variadic<TensorOrMemref>:$results);
-
-  let hasVerifier = 1;
-  let assemblyFormat = [{
-    attr-dict
-    `ins` `(` $inputs `:` type($inputs) `)`
-    `outs` `(` $outputs `:` type($outputs) `)`
-    (`->` type($results)^)?
-  }];
-}
-
 #endif // LINALGX_STRUCTURED_OPS