[Mlir-commits] [llvm] [mlir] [MLIR] Generalize expand_shape to take shape as explicit input (PR #69267)

[llvmlistbot at llvm.org]

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@@ -1622,29 +1613,72 @@ def MemRef_ExpandShapeOp : MemRef_ReassociativeReshapeOp<"expand_shape", [
     there must be a dynamic result dimension in the corresponding reassociation
     group. Same for strides.
 
+    The representation for the output shape supports a partially-static
+    specification via attributes specified through the `static_output_shape`
+    argument.  A special sentinel value `ShapedType::kDynamic` encodes that the
+    corresponding entry has a dynamic value.  There must be exactly as many SSA
+    inputs in `output_shape` as there are `ShapedType::kDynamic` entries in
+    `static_output_shape`.
+
     Note: This op currently assumes that the inner strides are of the
     source/result layout map are the faster-varying ones.
   }];
 
+  let arguments = (ins AnyStridedMemRef:$src, IndexListArrayAttr:$reassociation,
+                       Variadic<Index>:$output_shape,
+                       DenseI64ArrayAttr:$static_output_shape);
+
+  let assemblyFormat = [{
+    $src $reassociation `output_shape`
+    custom<DynamicIndexList>($output_shape, $static_output_shape) attr-dict `:`
+    type($src) `into` type($result)
+  }];
+
   let builders = [
     // Builders using ReassociationIndices.
+    OpBuilder<(ins "Type":$resultType, "Value":$src,
+      "ArrayRef<ReassociationIndices>":$reassociation),
+    [{
+      SmallVector<OpFoldResult> inputShape = 
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MaheshRavishankar wrote:

I saw this file after the `TensorOps.td` file. So same comments from there apply here too.. Move these to C++ file

https://github.com/llvm/llvm-project/pull/69267