// TODO(sjr): Remove the IS_MOBILE_PLATFORM guard. This will require ensuring
// that the tensorflow/cc/saved_model:loader build target is mobile friendly.
#if defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD)
  status->status = tensorflow::errors::Unimplemented(
      "Loading a SavedModel is not supported on mobile. File a bug at "

 * [Kotlin Multiplatform Mobile](https://kotlinlang.org/lp/mobile/) for sharing code between Android and iOS
 * [Getting Started with Kotlin Multiplatform Mobile Guide](https://kotlinlang.org/docs/mobile/create-first-app.html)
 * [Kotlin Multiplatform Benefits](https://kotlinlang.org/docs/reference/multiplatform.html)

# Segurança - Primeiros Passos

Vamos imaginar que você tem a sua API **backend** em algum domínio.

E você tem um **frontend** em outro domínio ou em um path diferente no mesmo domínio (ou em uma aplicação mobile).

E você quer uma maneira de o frontend autenticar o backend, usando um **username** e **senha**.

Nós podemos usar o **OAuth2** junto com o **FastAPI**.

  /**
   * The HTTP <a href="https://wicg.github.io/ua-client-hints/#sec-ch-ua-mobile">{@code
   * Sec-CH-UA-Mobile}</a> header field name.
   *
   * @since 30.0
   */
  public static final String SEC_CH_UA_MOBILE = "Sec-CH-UA-Mobile";
  /**
   * The HTTP <a href="https://wicg.github.io/ua-client-hints/#sec-ch-ua-wow64">{@code
   * Sec-CH-UA-WoW64}</a> header field name.

)

selects.config_setting_group(
    name = "mobile_lite_protos",
    match_all = [
        ":lite_protos",
        ":mobile",
    ],
    visibility = ["//visibility:public"],
)

selects.config_setting_group(
    name = "mobile_full_protos",
    match_all = [
        ":full_protos",
        ":mobile",
    ],
    visibility = ["//visibility:public"],
)

TF_Library* TF_LoadPluggableDeviceLibrary(const char* library_filename,
                                          TF_Status* status) {
#if defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD)
  status->status = tensorflow::errors::Unimplemented(
      "PluggableDevice plugin functionality is not supported on mobile");
  return nullptr;
#else
  TF_Library* lib_handle = new TF_Library;
  static tensorflow::mutex mu(tensorflow::LINKER_INITIALIZED);

ldap.attr.state=st
ldap.attr.employeeType=employeeType
ldap.attr.facsimileTelephoneNumber=facsimileTelephoneNumber
ldap.attr.postOfficeBox=postOfficeBox
ldap.attr.initials=initials
ldap.attr.carLicense=carLicense
ldap.attr.mobile=mobile
ldap.attr.postalAddress=postalAddress
ldap.attr.city=l
ldap.attr.teletexTerminalIdentifier=teletexTerminalIdentifier
ldap.attr.x121Address=x121Address
ldap.attr.businessCategory=businessCategory

    /** The key of the configuration. e.g. carLicense */
    String LDAP_ATTR_CAR_LICENSE = "ldap.attr.carLicense";

    /** The key of the configuration. e.g. mobile */
    String LDAP_ATTR_MOBILE = "ldap.attr.mobile";

    /** The key of the configuration. e.g. postalAddress */
    String LDAP_ATTR_POSTAL_ADDRESS = "ldap.attr.postalAddress";

    /** The key of the configuration. e.g. l */

        "//tensorflow/core/platform:status",
        "@com_google_absl//absl/strings",
        "@dlpack",
    ],
)

# TODO(karllessard): only used by //tensorflow/core:mobile_srcs_only_runtime
# right now, remove this public rule when no longer needed (it should be
# replaced by TF Lite)
filegroup(
    name = "srcs",
    srcs = glob(
        [
            "*.cc",

build:v2 --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1

# Enable all targets in XLA
build:cpu_cross --define=with_cross_compiler_support=true

# Disable XLA on mobile.
build:xla     --define=with_xla_support=true # TODO: remove, it's on by default.
build:android --define=with_xla_support=false
build:ios     --define=with_xla_support=false

# BEGIN TF REMOTE BUILD EXECUTION OPTIONS