"ir/tf_op_interfaces.h.inc",
        ),
        (
            ["-gen-op-interface-defs"],
            "ir/tf_op_interfaces.cc.inc",
        ),
    ],
    tblgen = "@llvm-project//mlir:mlir-tblgen",
    td_file = "ir/tf_op_interfaces.td",
    test = True,
    deps = [
        ":tensorflow_ops_td_files",
    ],
)

gentbl_cc_library(
    name = "tensorflow_struct_doc_gen",

python_register_toolchains(
    name = "python",
    ignore_root_user_error = True,
    python_version = TF_PYTHON_VERSION,
)

load("@python//:defs.bzl", "interpreter")
load("@rules_python//python:pip.bzl", "pip_parse")

pip_parse(
    name = "pypi",
    python_interpreter_target = interpreter,

)

// SymABIs records information provided by the assembler about symbol
// definition ABIs and reference ABIs.
type SymABIs struct {
	defs map[string]obj.ABI
	refs map[string]obj.ABISet
}

func NewSymABIs() *SymABIs {
	return &SymABIs{
		defs: make(map[string]obj.ABI),
		refs: make(map[string]obj.ABISet),
	}
}

// canonicalize returns the canonical name used for a linker symbol in

	// Type-check the package.
	// We create an empty map for each kind of input
	// we're interested in, and Check populates them.
	info := types.Info{
		Types: make(map[ast.Expr]types.TypeAndValue),
		Defs:  make(map[*ast.Ident]types.Object),
		Uses:  make(map[*ast.Ident]types.Object),
	}
	var conf types.Config
	pkg, err := conf.Check("fib", fset, []*ast.File{f}, &info)
	if err != nil {
		log.Fatal(err)
	}

load("@python_version_repo//:py_version.bzl", "TF_PYTHON_VERSION")

python_register_toolchains(
    name = "python",
    ignore_root_user_error = True,
    python_version = TF_PYTHON_VERSION,
)

load("@python//:defs.bzl", "interpreter")
load("@rules_python//python:pip.bzl", "package_annotation", "pip_parse")

NUMPY_ANNOTATIONS = {
    "numpy": package_annotation(
        additive_build_content = """\
filegroup(

			}
			ctxt.nonpkgdefs = append(ctxt.nonpkgdefs, s)
			nonpkgidx++
		} else {
			s.PkgIdx = goobj.PkgIdxSelf
			s.SymIdx = idx
			if idx != int32(len(ctxt.defs)) {
				panic("bad index")
			}
			ctxt.defs = append(ctxt.defs, s)
			idx++
		}
		s.Set(AttrIndexed, true)
	})

	ipkg := int32(1) // 0 is invalid index
	nonpkgdef := nonpkgidx

				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",
        ),
    ],

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(