struct TPUPartitionedOpConversionPass
    : public impl::TPUPartitionedOpConversionPassBase<
          TPUPartitionedOpConversionPass> {
  void runOnOperation() override;
};

template <typename T>
LogicalResult ReplacePartitionedOp(IntegerAttr num_cores_per_replica, T op) {
  constexpr bool is_input =
      std::is_same_v<std::decay_t<T>, TF::TPUPartitionedInputOp>;
  static_assert(

#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"
#include "tensorflow/core/util/matmul_bcast.h"

namespace mlir {
namespace TF {

namespace {

// Replace TF BatchMatMul by TF Einsum op
template <typename BatchMatMulOpType>
class ConvertTFBatchMatMulToEinsumOp
    : public OpRewritePattern<BatchMatMulOpType> {
  using OpRewritePattern<BatchMatMulOpType>::OpRewritePattern;

  LogicalResult matchAndRewrite(BatchMatMulOpType op,

            unsupportedFieldTypeFor(field)?.let {
                reportUnsupportedFieldType(it, "serialize", fieldName, fieldValue)
            }
            withDebugFrame({ "${clazz.typeName}.$fieldName" }) {
                writeNextProperty(fieldName, fieldValue, PropertyKind.Field)
            }
        }
    }
}


private
val Class<*>.relevantFields: List<Field>

                "Use a $fileType as an input",
                "Declare the input as a ${getOppositeKind(fileType)} instead",
            ].collect { it.toString() }
            additionalData.asMap == [
                'typeName': 'org.gradle.api.DefaultTask',
                'propertyName': 'input',
            ]
        }

        where:
        method | path             | fileType
        "file" | "input-dir"      | "file"

// WaveNet) to the 4D arrays that Conv2D requires. Padding and BiasAdd are
// thrown in just for the extra headache. Padding adapts non-conforming input
// sizes, and can be discarded. The bias is necessary, so is kept.
template <typename Conv2dOpTy>
class ConvertTFDilatedConvOp : public OpRewritePattern<Conv2dOpTy> {
 private:
  using OpRewritePattern<Conv2dOpTy>::OpRewritePattern;

	apiservercel "k8s.io/apiserver/pkg/cel"
)

func TestSchemaDeclType(t *testing.T) {
	ts := testSchema()
	cust := SchemaDeclType(ts, false)
	if cust.TypeName() != "object" {
		t.Errorf("incorrect type name, got %v, wanted object", cust.TypeName())
	}
	if len(cust.Fields) != 4 {
		t.Errorf("incorrect number of fields, got %d, wanted 4", len(cust.Fields))
	}
	for _, f := range cust.Fields {

  };
};

// Appends all elements in `range` to `values`.
template <typename ValueT, typename Range>
void Append(llvm::SmallVectorImpl<ValueT>& values, Range&& range) {
  values.insert(values.end(), range.begin(), range.end());
}

// Appends all elements in `range` to `values`.
template <typename ValueT, typename Range, typename... RangeTs>
void Append(llvm::SmallVectorImpl<ValueT>& values, Range&& range,

	polymorphic := field.TagSettings["POLYMORPHIC"]

	relation.Polymorphic = &Polymorphic{
		Value: schema.Table,
	}

	var (
		typeName = polymorphic + "Type"
		typeId   = polymorphic + "ID"
	)

	if value, ok := field.TagSettings["POLYMORPHICTYPE"]; ok {
		typeName = strings.TrimSpace(value)
	}

	if value, ok := field.TagSettings["POLYMORPHICID"]; ok {
		typeId = strings.TrimSpace(value)
	}

#include "mlir/Transforms/DialectConversion.h"  // from @llvm-project

namespace mlir {

namespace func {
class FuncOp;
}
class ModuleOp;
class Operation;
template <typename T>
class OperationPass;
class Pass;

namespace mhlo {

/// Lowers from TF dialect to HLO dialect. When allow_partial_conversion is
/// false, emits an error if there is any operation that can't be legalized.

    public TypeAwareProblemBuilder withAnnotationType(@Nullable Class<?> classWithAnnotationAttached) {
        if (classWithAnnotationAttached != null) {
            additionalData(TypeValidationDataSpec.class, data -> data.typeName(classWithAnnotationAttached.getName().replaceAll("\\$", ".")));
        }
        return this;
    }

    @Override
    public TypeAwareProblemBuilder forProperty(String propertyName) {