// Converts a shape from MLIR to a TensorFlow tensor shape proto.
void ConvertToTensorShapeProto(llvm::ArrayRef<int64_t> shape,
                               TensorShapeProto* output_shape);

// Converts an MLIR type to a TensorFlow tensor shape.
PartialTensorShape ConvertTypeToTensorShape(const mlir::Type& type);

// Converts an MLIR shaped type to a TensorFlow shape attribute.

}

// Convert_kubeadm_DNS_To_v1beta3_DNS converts a private DNS to public DNS.
func Convert_kubeadm_DNS_To_v1beta3_DNS(in *kubeadm.DNS, out *DNS, s conversion.Scope) error {
	return autoConvert_kubeadm_DNS_To_v1beta3_DNS(in, out, s)
}

// convertToArgs takes a argument map and converts it to a slice of arguments.
// Te resulting argument slice is sorted alpha-numerically.

    def resolver = new BasicFileResolver(baseDir)

    def "converts relative path"() {
        expect:
        resolver.transform("some-file") == baseDir.file("some-file")
        resolver.transform("../other-file") == baseDir.file("../other-file")
        resolver.transform(".") == baseDir
    }

    def "converts absolute path"() {
        def target = tmpDir.file("some-file")

        expect:

namespace tensorflow {

using tsl::StatusOr;

// Converts the TensorFlow DataType 'dtype' into an MLIR (scalar) type.
Status ConvertDataType(DataType dtype, mlir::Builder builder, mlir::Type* type);

// Converts a scalar MLIR type to a TensorFlow Datatype.
Status ConvertScalarTypeToDataType(mlir::Type type, DataType* dtype);

// Converts an MLIR type to TensorFlow DataType. If 'type' is a scalar type, it

    }

    /**
     * Parses a sequence of XML elements and converts them to the appropriate array type.
     *
     * @param parser The XML parser
     * @return Converted array instance
     */
    private Object parseArray(final MXParser parser, final TypeLiteral<?> toType) throws Exception {
        // convert to a collection first then convert that into an array

                                  quantizedElementType, converter);
    outConvertedType = converted.getType();
    return converted;
  }
  // Nothing else matched: try to convert a primitive.
  return convertPrimitiveValueAttr(realValue, quantizedElementType, converter,
                                   outConvertedType);
}

/// Convert an attribute from a type based on

    }

    def "converts to OutgoingVariant when nothing defined"() {
        expect:
        def variants = getOutgoingVariants(publications)
        variants.size() == 1

        def child = variants.first()
        child.displayName == displayName
        child.attributes == ImmutableAttributes.EMPTY
        child.artifacts == allArtifacts
    }

    def "converts to OutgoingVariant when artifacts declared"() {

  module will be written (default: stdout).


### Examples

* To convert [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50)
model to StableHLO with static input shape `4x3x224x224` for input argument with
type `tensor<?x3x224x224xf32>`.

```bash
tf-to-stablehlo-translate <saved-model-path> --input-arg-shapes=4,3,224,224
```

* To convert

    }

    /**
     * Converts all line separators in the specified string to the specified line separator.
     */
    @Nullable
    public static String convertLineSeparators(@Nullable String str, String sep) {
        logDeprecation();
        return str == null ? null : replaceLineSeparatorsOf(str, sep);
    }

    /**

  bool enable_soft_placement;
  bool set_original_tf_func_name = false;
};

// TODO(antiagainst): Directly manipulating files in library functions is not
// a good idea. We should pass in a string/stream here.

// Converts a TensorFlow GraphDef contained in `input` param into a MLIR module.
// Creates MLIR entities into the given MLIR `context`.
absl::StatusOr<mlir::OwningOpRef<mlir::ModuleOp>>
GraphdefToMlirTranslateFunction(