class SliceDenseIntElementsAttrColumn2D<string column> : NativeCodeCall<
  "SliceDenseIntElementsAttrColumn2D($0.cast<ElementsAttr>(), " # column # " )">;

class SliceDenseIntElementsAttr<string index, string axis> : NativeCodeCall<
  "SliceDenseIntElementsAttr($0.cast<ElementsAttr>(), " # index # ", " # axis # ")">;

// Interior padding attribute based on the TF padding.
def GetInteriorPadding : NativeCodeCall <

include "mlir/IR/OpBase.td"
include "mlir/Dialect/Func/IR/FuncOps.td"
include "mlir/IR/PatternBase.td"

def CreateNoneValue : NativeCodeCall<
  "$_builder.create<TFL::NoValueOp>($0.getLoc(), $_builder.getUnitAttr())">;

// Returns shape of a ranked tensor.
// if called without a ranked tensor it will fail.
def GetShape: NativeCodeCall<"GetShape($0)">;

// Constraint that values in list attribute are all ones.

  NativeCodeCall<"GetI64ElementsAttr({" # value # "}, &$_builder)">;

class GetF32Scalar<int value> :
  NativeCodeCall<"GetF32Scalar(&$_builder, " # value # ")">;

def TrueBoolAttr : AttrConstraint<CPred<"$_self.cast<::mlir::BoolAttr>().getValue()">>;

def CreateTFShapeOp : NativeCodeCall<
    "$_builder.create<TF::ShapeOp>($0.getLoc(), $1, $2)">;

def IsI32 : NativeCodeCall<

// See the function doc in the header file.
def GetPadOpAttr: NativeCodeCall<"GetPadOpAttr($_builder, (*$0.begin()).getDefiningOp<mhlo::CompositeOp>())">;

// See the function doc in the header file.
def GetPaddingArrayCeilMode: NativeCodeCall<"GetPaddingArrayCeilMode($_builder, (*$0.begin()).getDefiningOp<mhlo::CompositeOp>())">;

class CreateStringAttr<string values> : NativeCodeCall<
  "$_builder.getStringAttr("# values #")">;

include "mlir/IR/PatternBase.td"

// See the function doc in the header file.
def GetNhwcReturnTypeFromNchw: NativeCodeCall<
  "GetNhwcReturnTypeFromNchw((*$0.begin()).getDefiningOp())">;

// When given a DenseIntElementsAttr containing I64 elements, this extracts
// one I32IntegerAttr from the given index.
class GetI32At<int index>: NativeCodeCall<
  "$_builder.getI32IntegerAttr(static_cast<int32_t>(*($0.getValues<int64_t>().begin() + " # index #")))">;

def convertIntAttrTo32Bit : NativeCodeCall<
    "$_builder.getI32IntegerAttr($0.cast<IntegerAttr>().getInt())">;

// Builds a constant bool attribute.
class GetBoolAttr<int value> :
    NativeCodeCall<"$_builder.getBoolAttr(" # value #")">;

// Converts an integer attribute $0 to 64-bit with builder.
def convertIntAttrTo64Bit : NativeCodeCall<
    "$_builder.getI64IntegerAttr($0.cast<IntegerAttr>().getInt())">;

def CheckHasResourceSubtype : Constraint<CPred<"HasResourceSubtype($0)">>;

def CreateConstBoolAttrFalse : NativeCodeCall<"$_builder.getBoolAttr(false)">;

def CreateTFReadVariableOpFromResourceHandle : NativeCodeCall<
    "$_builder.create<TF::ReadVariableOp>("
    "$0.getLoc(), GetResourceSubtype($1), $1)">;

def CreateTFSelectOp: NativeCodeCall<
    "$_builder.create<TF::SelectOp>("
    "$0.getLoc(), $3.getType(), $1, $2, $3)">;

def DenseElementsAttr : ElementsAttrBase<
  CPred<"$_self.isa<DenseElementsAttr>()">,
  "non-opaque constant tensor">;

def CreateGatherNdOp : NativeCodeCall<
    "$_builder.create<TF::GatherNdOp>($0.getLoc(), $0.getType(), $1, $2)">;

def CreateTFCastOpI32 : NativeCodeCall<
    "CreateTFCastOpI32(&$_builder, $_loc, $0, $1)">;

// Convert to std constant for statically shaped, non-opaque constants.

include "mlir/IR/OpBase.td"
include "mlir/IR/BuiltinAttributes.td"
include "mlir/IR/CommonAttrConstraints.td"
include "mlir/IR/CommonTypeConstraints.td"

def CloneF32ElementsAttrWithOnes
  : NativeCodeCall<"DenseElementsAttr::get($0.getType().cast<ShapedType>(), (float)1.0)">;

def NotConstant : Constraint<
    CPred<"$0.isa<BlockArgument>() || !llvm::isa<stablehlo::ConstantOp>($0.getDefiningOp())">,
    "Is not a constant.">;

include "mlir/IR/PatternBase.td"
include "tensorflow/compiler/mlir/quantization/common/attrs_and_constraints.td"

// Combines the two variadic arguments ($in_tensors and $captured_tensors).
def GetBatchFunctionOpArgOperands:
    NativeCodeCall<"cast<TF::BatchFunctionOp>($0[0].getDefiningOp()).getArgOperands()">;

// Replaces `TF_BatchFunctionOp` into `TF_PartitionedCallOp` that calls the
// same $f. This may be required, for example, when inlining is desired,