"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,

            "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",
    ],
)

exports_files([
    "quantization_traits.h",

)

// 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

/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

    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",
    ],
)

cc_library(
    name = "tensorflow_tfrt_ops",
    srcs = [

  for (Node* node : graph->nodes()) {
    if (CanCreateXlaKernel(node->def())) {
      const FunctionBody* fbody = nullptr;
      std::vector<int> constant_arg_indices;
      std::vector<int> resource_arg_indices;

      NameAttrList function;
      TF_RETURN_IF_ERROR(NameAndAttrsFromFunctionCall(node->def(), &function));

      // Force all constants to be on the host memory.

	// 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