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// RUN: mlir-tblgen -gen-op-defs -I %S/../../include %s | FileCheck %s
include "mlir/IR/OpBase.td"
def Test_Dialect : Dialect {
let name = "test";
}
class NS_Op<string mnemonic, list<Trait> traits> :
Op<Test_Dialect, mnemonic, traits>;
def OpA : NS_Op<"one_normal_operand_op", []> {
let arguments = (ins I32:$input);
}
// CHECK-LABEL: OpA definitions
// CHECK: OpAGenericAdaptorBase::OpAGenericAdaptorBase
// CHECK-SAME: odsAttrs(attrs)
// CHECK: void OpA::build
// CHECK: ::mlir::Value input
// CHECK: odsState.addOperands(input);
// CHECK: void OpA::build
// CHECK: ::mlir::ValueRange operands
// CHECK: assert(operands.size() == 1u && "mismatched number of parameters");
// CHECK: odsState.addOperands(operands);
def OpB : NS_Op<"one_variadic_operand_op", []> {
let arguments = (ins Variadic<I32>:$input);
}
// CHECK-LABEL: OpB::build
// CHECK: ::mlir::ValueRange input
// CHECK-NOT: assert
// CHECK: odsState.addOperands(input);
def OpD : NS_Op<"mix_variadic_and_normal_inputs_op", [SameVariadicOperandSize]> {
let arguments = (ins Variadic<AnyTensor>:$input1, AnyTensor:$input2, Variadic<AnyTensor>:$input3);
}
// CHECK-LABEL: ::mlir::Operation::operand_range OpD::getInput1
// CHECK-NEXT: return getODSOperands(0);
// CHECK-LABEL: ::mlir::TypedValue<::mlir::TensorType> OpD::getInput2
// CHECK-NEXT: return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(1).begin());
// CHECK-LABEL: OpD::build
// CHECK-NEXT: odsState.addOperands(input1);
// CHECK-NEXT: odsState.addOperands(input2);
// CHECK-NEXT: odsState.addOperands(input3);
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