}
}

func output() error {
	refFunc := func(name string) spec.Ref {
		return spec.MustCreateRef(fmt.Sprintf("#/definitions/%s", friendlyName(name)))
	}
	defs := openapi.GetOpenAPIDefinitions(refFunc)
	schemaDefs := make(map[string]spec.Schema, len(defs))
	for k, v := range defs {
		// Replace top-level schema with v2 if a v2 schema is embedded
		// so that the output of this program is always in OpenAPI v2.

            "QuantOps.h.inc",
        ),
        (
            ["-gen-op-defs"],
            "QuantOps.cc.inc",
        ),
        (
            [
                "-gen-dialect-decls",
                "-dialect=quantization",
            ],
            "QuantOpsDialect.h.inc",
        ),
        (
            [
                "-gen-dialect-defs",
                "-dialect=quantization",
            ],

    tbl_outs = [
        (
            ["-gen-op-interface-decls"],
            "quantization_interface.h.inc",
        ),
        (
            ["-gen-op-interface-defs"],
            "quantization_interface.cc.inc",
        ),
    ],
    tblgen = "@llvm-project//mlir:mlir-tblgen",
    td_file = "quantization.td",
    deps = [
        ":quantization_td_files",
    ],

/default.etcd

# Also ignore protoc installed by hack/install-protoc.sh
/third_party/protoc*

# User cluster configs
.kubeconfig

.tags*

# Version file for dockerized build
.dockerized-kube-version-defs

# Web UI
/www/master/node_modules/
/www/master/npm-debug.log
/www/master/shared/config/development.json

# Karma output
/www/test_out

    compatible_with = get_compatible_with_portable(),
    tbl_outs = [
        (
            ["-gen-op-decls"],
            "tfrt_ops.h.inc",
        ),
        (
            ["-gen-op-defs"],
            "tfrt_ops.cc.inc",
        ),
    ],
    tblgen = "@llvm-project//mlir:mlir-tblgen",
    td_file = "tfrt_ops.td",
    deps = [
        ":tensorflow_tfrt_ops_td_files",
    ],
)

				continue
			}
			if s.OnList() {
				panic("a symbol is added to defs multiple times")
			}
			s.PkgIdx = goobj.PkgIdxSelf
			s.SymIdx = symidx
			s.Set(AttrIndexed, true)
			s.Set(AttrOnList, true)
			symidx++
			infosyms = append(infosyms, s)
		}
	}
	ctxt.defs = append(ctxt.defs, infosyms...)
}

func writeAuxSymDebug(ctxt *Link, par *LSym, aux *LSym) {

                   "defs argument",
                   i);
      return nullptr;
    }

    // Parse op def from character array.
    tensorflow::OpDef opdef;
    if (!tensorflow::protobuf::TextFormat::ParseFromString(tf_opdefs, &opdef)) {
      PyErr_Format(
          PyExc_ValueError,
          "Failed to parse opdefs at index %d of custom op defs argument: %s",
          i, tf_opdefs);

            "ir/tfl_ops_interface.h.inc",
        ),
        (
            ["-gen-op-interface-defs"],
            "ir/tfl_ops_interface.cc.inc",
        ),
        (
            ["-gen-dialect-decls"],
            "ir/tfl_ops_dialect.h.inc",
        ),
        (
            ["-gen-dialect-defs"],
            "ir/tfl_ops_dialect.cc.inc",
        ),
    ],

   parameter of the `python_register_multi_toolchains` function.

3) In the `BUILD.bazel` file, add a load statement for the new version, e.g.

   ```
      load("@python//3.11:defs.bzl",
           compile_pip_requirements_3_11 = "compile_pip_requirements")
   ```

   Add a new entry for the loaded `compile_pip_requirements`, e.g.

   ```
      compile_pip_requirements_3_11(

package_group(
    name = "friends",
    includes = [
        "//tensorflow/compiler/tf2xla:friends",
    ],
)

# defs.cc/h only contains string constants, and can be included in mobile
# builds.
filegroup(
    name = "mobile_srcs_no_runtime",
    srcs = [
        "defs.cc",
        "defs.h",
    ],
    visibility = [":friends"],
)

# Target that bundles up the XLA CPU and GPU JIT devices.
cc_library(