//===-- python_test_ops.td - Python test Op definitions ----*- tablegen -*-===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
#ifndef PYTHON_TEST_OPS
#define PYTHON_TEST_OPS
include "mlir/IR/AttrTypeBase.td"
include "mlir/IR/OpBase.td"
include "mlir/Interfaces/InferTypeOpInterface.td"
def Python_Test_Dialect : Dialect {
let name = "python_test";
let cppNamespace = "python_test";
let useDefaultTypePrinterParser = 1;
let useDefaultAttributePrinterParser = 1;
}
class TestType<string name, string typeMnemonic>
: TypeDef<Python_Test_Dialect, name> {
let mnemonic = typeMnemonic;
}
class TestAttr<string name, string attrMnemonic>
: AttrDef<Python_Test_Dialect, name> {
let mnemonic = attrMnemonic;
}
class TestOp<string mnemonic, list<Trait> traits = []>
: Op<Python_Test_Dialect, mnemonic, traits> {
let assemblyFormat = "operands attr-dict functional-type(operands, results)";
}
//===----------------------------------------------------------------------===//
// Type definitions.
//===----------------------------------------------------------------------===//
def TestType : TestType<"TestType", "test_type">;
//===----------------------------------------------------------------------===//
// Attribute definitions.
//===----------------------------------------------------------------------===//
def TestAttr : TestAttr<"TestAttr", "test_attr">;
//===----------------------------------------------------------------------===//
// Operation definitions.
//===----------------------------------------------------------------------===//
def AttributedOp : TestOp<"attributed_op"> {
let arguments = (ins I32Attr:$mandatory_i32,
OptionalAttr<I32Attr>:$optional_i32,
UnitAttr:$unit);
}
def CustomAttributedOp : TestOp<"custom_attributed_op"> {
let arguments = (ins TestAttr:$test_attr);
}
def AttributesOp : TestOp<"attributes_op"> {
let arguments = (ins
AffineMapArrayAttr:$x_affinemaparr,
AffineMapAttr:$x_affinemap,
ArrayAttr:$x_arr,
BoolArrayAttr:$x_boolarr,
BoolAttr:$x_bool,
DenseBoolArrayAttr:$x_dboolarr,
DenseF32ArrayAttr:$x_df32arr,
DenseF64ArrayAttr:$x_df64arr,
DenseI16ArrayAttr:$x_df16arr,
DenseI32ArrayAttr:$x_di32arr,
DenseI64ArrayAttr:$x_di64arr,
DenseI8ArrayAttr:$x_di8arr,
DictArrayAttr:$x_dictarr,
DictionaryAttr:$x_dict,
F32ArrayAttr:$x_f32arr,
F32Attr:$x_f32,
F64ArrayAttr:$x_f64arr,
F64Attr:$x_f64,
F64ElementsAttr:$x_f64elems,
FlatSymbolRefArrayAttr:$x_flatsymrefarr,
FlatSymbolRefAttr:$x_flatsymref,
I16Attr:$x_i16,
I1Attr:$x_i1,
I32ArrayAttr:$x_i32arr,
I32Attr:$x_i32,
I32ElementsAttr:$x_i32elems,
I64ArrayAttr:$x_i64arr,
I64Attr:$x_i64,
I64ElementsAttr:$x_i64elems,
I64SmallVectorArrayAttr:$x_i64svecarr,
I8Attr:$x_i8,
IndexAttr:$x_idx,
IndexElementsAttr:$x_idxelems,
IndexListArrayAttr:$x_idxlistarr,
SI16Attr:$x_si16,
SI1Attr:$x_si1,
SI32Attr:$x_si32,
SI64Attr:$x_si64,
SI8Attr:$x_si8,
StrArrayAttr:$x_strarr,
StrAttr:$x_str,
SymbolNameAttr:$x_sym,
SymbolRefArrayAttr:$x_symrefarr,
SymbolRefAttr:$x_symref,
TypeArrayAttr:$x_typearr,
TypeAttr:$x_type,
UI16Attr:$x_ui16,
UI1Attr:$x_ui1,
UI32Attr:$x_ui32,
UI64Attr:$x_ui64,
UI8Attr:$x_ui8,
UnitAttr:$x_unit
);
}
def PropertyOp : TestOp<"property_op"> {
let arguments = (ins I32Attr:$property,
I32:$idx);
}
def DummyOp : TestOp<"dummy_op"> {
}
def InferResultsOp : TestOp<"infer_results_op", [InferTypeOpInterface]> {
let arguments = (ins);
let results = (outs AnyInteger:$single, AnyInteger:$doubled);
let extraClassDeclaration = [{
static ::llvm::LogicalResult inferReturnTypes(
::mlir::MLIRContext *context, ::std::optional<::mlir::Location> location,
::mlir::ValueRange operands, ::mlir::DictionaryAttr attributes,
::mlir::OpaqueProperties,
::mlir::RegionRange regions,
::llvm::SmallVectorImpl<::mlir::Type> &inferredReturnTypes) {
::mlir::Builder b(context);
inferredReturnTypes.push_back(b.getI32Type());
inferredReturnTypes.push_back(b.getI64Type());
return ::mlir::success();
}
}];
}
def I32OrF32 : TypeConstraint<Or<[I32.predicate, F32.predicate]>,
"i32 or f32">;
def InferResultsVariadicInputsOp : TestOp<"infer_results_variadic_inputs_op",
[InferTypeOpInterface, AttrSizedOperandSegments]> {
let arguments = (ins Optional<I64>:$single, Optional<I64>:$doubled);
let results = (outs I32OrF32:$res);
let extraClassDeclaration = [{
static ::llvm::LogicalResult inferReturnTypes(
::mlir::MLIRContext *context, ::std::optional<::mlir::Location> location,
::mlir::ValueRange operands, ::mlir::DictionaryAttr attributes,
::mlir::OpaqueProperties,
::mlir::RegionRange regions,
::llvm::SmallVectorImpl<::mlir::Type> &inferredReturnTypes) {
::mlir::Builder b(context);
if (operands.size() == 1)
inferredReturnTypes.push_back(b.getI32Type());
else if (operands.size() == 2)
inferredReturnTypes.push_back(b.getF32Type());
return ::mlir::success();
}
}];
}
// If all result types are buildable, the InferTypeOpInterface is implied and is
// autogenerated by C++ ODS.
def InferResultsImpliedOp : TestOp<"infer_results_implied_op"> {
let results = (outs I32:$integer, F64:$flt, Index:$index);
}
def InferShapedTypeComponentsOp : TestOp<"infer_shaped_type_components_op",
[DeclareOpInterfaceMethods<InferShapedTypeOpInterface,
["inferReturnTypeComponents"]>]> {
let arguments = (ins AnyTensor:$operand);
let results = (outs AnyTensor:$result);
let extraClassDefinition = [{
::llvm::LogicalResult $cppClass::inferReturnTypeComponents(
::mlir::MLIRContext *context, ::std::optional<::mlir::Location> location,
::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes,
::mlir::OpaqueProperties properties, ::mlir::RegionRange regions,
::llvm::SmallVectorImpl<
::mlir::ShapedTypeComponents>& inferredShapedTypeComponents) {
$cppClass::Adaptor adaptor(operands, attributes, properties, regions);
auto operandType =
::llvm::cast<::mlir::ShapedType>(adaptor.getOperand().getType());
if (operandType.hasRank()) {
inferredShapedTypeComponents.emplace_back(operandType.getShape(),
operandType.getElementType());
} else {
inferredShapedTypeComponents.emplace_back(operandType.getElementType());
}
return ::mlir::success();
}
}];
}
def SameOperandAndResultTypeOp : TestOp<"same_operand_and_result_type_op",
[SameOperandsAndResultType]> {
let arguments = (ins Variadic<AnyType>);
let results = (outs AnyType:$one, AnyType:$two);
}
def FirstAttrDeriveTypeAttrOp : TestOp<"first_attr_derive_type_attr_op",
[FirstAttrDerivedResultType]> {
let arguments = (ins AnyType:$input, TypeAttr:$type);
let results = (outs AnyType:$one, AnyType:$two);
}
def FirstAttrDeriveAttrOp : TestOp<"first_attr_derive_attr_op",
[FirstAttrDerivedResultType]> {
let arguments = (ins AnyAttr:$iattr);
let results = (outs AnyType:$one, AnyType:$two, AnyType:$three);
}
def OptionalOperandOp : TestOp<"optional_operand_op"> {
let arguments = (ins Optional<AnyType>:$input);
let results = (outs I32:$result);
}
def SameVariadicOperandSizeOp : TestOp<"same_variadic_operand",
[SameVariadicOperandSize]> {
let arguments = (ins Variadic<AnyType>:$variadic1, AnyType:$non_variadic,
Variadic<AnyType>:$variadic2);
}
// Check different arrangements of variadic groups
def SameVariadicResultSizeOpVFV : TestOp<"same_variadic_result_vfv",
[SameVariadicResultSize]> {
let results = (outs Variadic<AnyType>:$variadic1, AnyType:$non_variadic,
Variadic<AnyType>:$variadic2);
}
def SameVariadicResultSizeOpVVV : TestOp<"same_variadic_result_vvv",
[SameVariadicResultSize]> {
let results = (outs Variadic<AnyType>:$variadic1, Variadic<AnyType>:$variadic2,
Variadic<AnyType>:$variadic3);
}
def SameVariadicResultSizeOpFFV : TestOp<"same_variadic_result_ffv",
[SameVariadicResultSize]> {
let results = (outs AnyType:$non_variadic1, AnyType:$non_variadic2,
Variadic<AnyType>:$variadic);
}
def SameVariadicResultSizeOpVVF : TestOp<"same_variadic_result_vvf",
[SameVariadicResultSize]> {
let results = (outs Variadic<AnyType>:$variadic1, Variadic<AnyType>:$variadic2,
AnyType:$non_variadic);
}
def SameVariadicResultSizeOpFVFVF : TestOp<"same_variadic_result_fvfvf",
[SameVariadicResultSize]> {
let results = (outs AnyType:$non_variadic1, Variadic<AnyType>:$variadic1,
AnyType:$non_variadic2, Variadic<AnyType>:$variadic2,
AnyType:$non_variadic3);
}
#endif // PYTHON_TEST_OPS
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