[mlir] support complex type in DenseElementsAttr::get.

[python3kgae]

Summary

Fixes #60662 https://github.com/llvm/llvm-project/issues/60662

Allow ComplexType when create DenseElementsAttr.
Also allow build ConstantOp for integer complex.

[mehdi_amini]

mlir/lib/Dialect/Complex/IR/ComplexOps.cpp

37

Nit: testing for fre is redundant here.

mlir/lib/IR/BuiltinAttributes.cpp

903

The assertions string could come quite confusing considering it checks for an ArrayAttr

[python3kgae]

Update to fix issues mentioned in comments.

mlir/lib/Dialect/Complex/IR/ComplexOps.cpp

 }
 
 bool ConstantOp::isBuildableWith(Attribute value, Type type) {
   if (auto arrAttr = value.dyn_cast<ArrayAttr>()) {
     auto complexTy = type.dyn_cast<ComplexType>();
     if (!complexTy || arrAttr.size() != 2)
       return false;
     auto complexEltTy = complexTy.getElementType();
-    auto re = arrAttr[0].dyn_cast<FloatAttr>();
+    if (auto fre = arrAttr[0].dyn_cast<FloatAttr>()) {
       auto im = arrAttr[1].dyn_cast<FloatAttr>();
-    return re && im && re.getType() == complexEltTy &&
+      return fre && im && fre.getType() == complexEltTy &&
              im.getType() == complexEltTy;
     }
+    if (auto ire = arrAttr[0].dyn_cast<IntegerAttr>()) {
+      auto im = arrAttr[1].dyn_cast<IntegerAttr>();
+      return ire && im && ire.getType() == complexEltTy &&
+             im.getType() == complexEltTy;
+    }
+  }
   return false;
 }
 
 LogicalResult ConstantOp::verify() {
   ArrayAttr arrayAttr = getValue();
   if (arrayAttr.size() != 2) {
     return emitOpError(
         "requires 'value' to be a complex constant, represented as array of "

mlir/lib/IR/BuiltinAttributes.cpp

 bool DenseElementsAttr::classof(Attribute attr) {
   return attr.isa<DenseIntOrFPElementsAttr, DenseStringElementsAttr>();
 }
 
 DenseElementsAttr DenseElementsAttr::get(ShapedType type,
                                          ArrayRef<Attribute> values) {
   assert(hasSameElementsOrSplat(type, values));
 
+  Type eltType = type.getElementType();
+
+  // Take care complex type case first.
+  if (auto complexType = eltType.dyn_cast<ComplexType>()) {
+    if (complexType.getElementType().isIntOrIndex()) {
+      SmallVector<std::complex<APInt>> complexValues;
+      complexValues.reserve(values.size());
+      for (Attribute attr : values) {
+        assert(attr.isa<ArrayAttr>() &&
+               "expected float value for complex float");
+        auto arrayAttr = attr.cast<ArrayAttr>();
+        assert(arrayAttr.size() == 2 && "expected 2 element for complex");
+        auto attr0 = arrayAttr[0];
+        auto attr1 = arrayAttr[1];
+        complexValues.push_back(
+            std::complex<APInt>(attr0.cast<IntegerAttr>().getValue(),
+                                attr1.cast<IntegerAttr>().getValue()));
+      }
+      return DenseElementsAttr::get(type, complexValues);
+    }
+    // Must be float.
+    SmallVector<std::complex<APFloat>> complexValues;
+    complexValues.reserve(values.size());
+    for (Attribute attr : values) {
+      assert(attr.isa<ArrayAttr>() && "expected float value for complex float");
+      auto arrayAttr = attr.cast<ArrayAttr>();
+      assert(arrayAttr.size() == 2 && "expected 2 element for complex");
+      auto attr0 = arrayAttr[0];
+      auto attr1 = arrayAttr[1];
+      complexValues.push_back(
+          std::complex<APFloat>(attr0.cast<FloatAttr>().getValue(),
+                                attr1.cast<FloatAttr>().getValue()));
+    }
+    return DenseElementsAttr::get(type, complexValues);
+  }
+
   // If the element type is not based on int/float/index, assume it is a string
   // type.
-  Type eltType = type.getElementType();
   if (!eltType.isIntOrIndexOrFloat()) {
     SmallVector<StringRef, 8> stringValues;
     stringValues.reserve(values.size());
     for (Attribute attr : values) {
       assert(attr.isa<StringAttr>() &&
              "expected string value for non integer/index/float element");
       stringValues.push_back(attr.cast<StringAttr>().getValue());
     }

mlir/test/Dialect/Tensor/canonicalize.mlir

 // CHECK-DAG: %[[F10:.*]] = arith.constant 1.0{{0+}}e+01
 // CHECK-DAG: %[[F11:.*]] = arith.constant 1.1{{0+}}e+01
 
 // CHECK: return %[[F0]], %[[F1]], %[[F2]], %[[F3]], %[[F4]], %[[F5]],
 // CHECK-SAME:   %[[F6]], %[[F7]], %[[F8]], %[[F9]], %[[F10]], %[[F11]]
 
 // -----
 
+// CHECK-LABEL: func.func @extract_from_elements_complex_i() -> tensor<3xcomplex<i32>> {
+// CHECK-NEXT:  %cst = arith.constant dense<[(1,2), (3,2), (1,2)]> : tensor<3xcomplex<i32>>
+// CHECK-NEXT:  return %cst : tensor<3xcomplex<i32>> 
+func.func @extract_from_elements_complex_i() -> tensor<3xcomplex<i32>> {
+  %c1 = arith.constant dense<(1, 2)> : tensor<complex<i32>>
+  %complex1 = tensor.extract %c1[] : tensor<complex<i32>>
+  %c2 = arith.constant dense<(3, 2)> : tensor<complex<i32>>
+  %complex2 = tensor.extract %c2[] : tensor<complex<i32>>
+  %tensor = tensor.from_elements %complex1, %complex2, %complex1 : tensor<3xcomplex<i32>>
+  return %tensor : tensor<3xcomplex<i32>>
+}
+
+// -----
+
+// CHECK-LABEL:  func.func @extract_from_elements_complex_f() -> tensor<3xcomplex<f32>> {
+// CHECK-NEXT:   %cst = arith.constant dense<[(1.200000e+00,2.300000e+00), (3.200000e+00,2.100000e+00), (1.200000e+00,2.300000e+00)]> : tensor<3xcomplex<f32>>
+// CHECK-NEXT:   return %cst : tensor<3xcomplex<f32>> 
+func.func @extract_from_elements_complex_f() -> tensor<3xcomplex<f32>> {
+  %c1 = arith.constant dense<(1.2, 2.3)> : tensor<complex<f32>>
+  %complex1 = tensor.extract %c1[] : tensor<complex<f32>>
+  %c2 = arith.constant dense<(3.2, 2.1)> : tensor<complex<f32>>
+  %complex2 = tensor.extract %c2[] : tensor<complex<f32>>
+  %tensor = tensor.from_elements %complex1, %complex2, %complex1 : tensor<3xcomplex<f32>>
+  return %tensor : tensor<3xcomplex<f32>>
+}
+
+// -----
+
 // Ensure the optimization doesn't segfault from bad constants
 // CHECK-LABEL: func @extract_negative_from_tensor.from_elements
 func.func @extract_negative_from_tensor.from_elements(%element : index) -> index {
   // CHECK-SAME: ([[ARG:%.*]]: index)
   %c-1 = arith.constant -1 : index
   %tensor = tensor.from_elements %element : tensor<1xindex>
   %extracted_element = tensor.extract %tensor[%c-1] : tensor<1xindex>
   // CHECK: tensor.from_elements