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//===-- 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>;
//===----------------------------------------------------------------------===//
// 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:$unit);
}
def AttributesOp : TestOp<"attributes_op"> {
let arguments = (ins BoolAttr:$x_bool,
I16Attr: $x_i16,
I32Attr: $x_i32,
I64Attr: $x_i64,
SI16Attr: $x_si16,
SI32Attr: $x_si32,
F32Attr: $x_f32,
F64Attr: $x_f64,
StrAttr: $x_str,
I32ArrayAttr: $x_i32_array,
I64ArrayAttr: $x_i64_array,
F32ArrayAttr: $x_f32_array,
F64ArrayAttr: $x_f64_array,
DenseI64ArrayAttr: $x_i64_dense);
}
def PropertyOp : TestOp<"property_op"> {
let arguments = (ins I32Attr:$property,
I32:$idx);
}
def DummyOp : TestOp<"dummy_op"> {
}
def InferResultsOp : TestOp<"infer_results_op", [InferTypeOpInterface]> {
let arguments = (ins);
let results = (outs AnyInteger:$single, AnyInteger:$doubled);
let extraClassDeclaration = [{
static ::mlir::LogicalResult inferReturnTypes(
::mlir::MLIRContext *context, ::std::optional<::mlir::Location> location,
::mlir::ValueRange operands, ::mlir::DictionaryAttr attributes,
::mlir::OpaqueProperties,
::mlir::RegionRange regions,
::llvm::SmallVectorImpl<::mlir::Type> &inferredReturnTypes) {
::mlir::Builder b(context);
inferredReturnTypes.push_back(b.getI32Type());
inferredReturnTypes.push_back(b.getI64Type());
return ::mlir::success();
}
}];
}
def I32OrF32 : TypeConstraint<Or<[I32.predicate, F32.predicate]>,
"i32 or f32">;
def InferResultsVariadicInputsOp : TestOp<"infer_results_variadic_inputs_op",
[InferTypeOpInterface, AttrSizedOperandSegments]> {
let arguments = (ins Optional<I64>:$single, Optional<I64>:$doubled);
let results = (outs I32OrF32:$res);
let extraClassDeclaration = [{
static ::mlir::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 = [{
::mlir::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);
}
#endif // PYTHON_TEST_OPS
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