<?xml version="1.0" encoding="UTF-8"?>
<project name="deps" basedir=".">
	<property name="target.dir" value="${basedir}/target/deps" />
	<property name="webinf.dir" value="${basedir}/src/main/webapp/WEB-INF" />
	<property name="crawler.dir" value="${basedir}/src/main/webapp/WEB-INF/env/crawler" />
	<property name="suggest.dir" value="${basedir}/src/main/webapp/WEB-INF/env/suggest" />
	<property name="thumbnail.dir" value="${basedir}/src/main/webapp/WEB-INF/env/thumbnail" />

Than McIntosh <******@****.***> 1716469651 +0000

Istio Automation <******@****.***> 1718300916 -0400

	iptablesConfigurator *iptables.IptablesConfigurator
	nlDeps               *fakeIptablesDeps
	ipsetDeps            *ipset.MockedIpsetDeps
}

func getTestFixure(ctx context.Context) netTestFixture {
	podNsMap := newPodNetnsCache(openNsTestOverride)
	nlDeps := &fakeIptablesDeps{}
	iptablesConfigurator, _ := iptables.NewIptablesConfigurator(nil, &dependencies.DependenciesStub{}, nlDeps)

	ztunnelServer := &fakeZtunnel{}

)

cc_library(
    name = "types",
    hdrs = ["types.h"],
    compatible_with = get_compatible_with_portable(),
    deps = [],
)

cc_library(
    name = "component",
    hdrs = ["component.h"],
    compatible_with = get_compatible_with_portable(),
    deps = [
        "//tensorflow/compiler/mlir/quantization/stablehlo:quantization_config_proto_cc",
        "@com_google_absl//absl/status:statusor",

)

cc_library(
    name = "tac-opt_lib",
    testonly = True,
    deps = [
        ":target_aware_conversion",
        "//tensorflow/compiler/mlir:tf_mlir_opt_main",
    ],
    alwayslink = 1,
)

# Binary with no hardwares linked.
tf_cc_binary(
    name = "tac-opt",
    testonly = True,
    deps = [
        ":tac-opt_lib",
    ],
)

# Binary with all backends linked.

    td_file = "tf_ops.td",
    deps = [":tf_mlrt_td_files"],
)

cc_library(
    name = "tf_mlrt_ops",
    srcs = ["tf_mlrt_ops.cc"],
    hdrs = ["tf_mlrt_ops.h"],
    visibility = [
        # copybara:uncomment "//learning/brain/experimental/tfrt/mlrt/application/tensorflow/tests:__subpackages__",
        "//tensorflow/compiler/mlir/tfrt:__subpackages__",
    ],
    deps = [
        ":mlrt_ops",

    deps = [":quant_td_files"],
)

gentbl_cc_library(
    name = "quantize_composite_functions_inc_gen",
    compatible_with = get_compatible_with_portable(),
    tbl_outs = [
        (
            ["-gen-rewriters"],
            "passes/quantize_composite_functions.inc",
        ),
    ],
    tblgen = "@llvm-project//mlir:mlir-tblgen",
    td_file = "passes/quantize_composite_functions.td",

    ],
    tblgen = "@llvm-project//mlir:mlir-tblgen",
    td_file = "reducer/tf_mlir_reduce_patterns.td",
    deps = [
        "//tensorflow/compiler/mlir/tensorflow:tensorflow_ops_td_files",
    ],
)

cc_library(
    name = "tfe_legalize_tfg",
    srcs = [
        "passes.h",
        "tfg-to-tfe.cc",
    ],
    deps = [
        ":tf_device_pass_inc_gen",
        ":tf_pass_inc_gen",

    ],
    deps = [":get_compiler_ir_hdrs"],
)

# This target can be used by XLA device plugins to prevent circular dependencies, and provides access to all of the required headers for building a device library.
cc_header_only_library(
    name = "xla_jit_headers_lib",
    visibility = ["//visibility:public"],
    deps = [
        ":xla_cpu_device",
        ":xla_cpu_jit",