:
#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
        api_def_map(op_list),
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
        update_docs_called(false) {
  }

#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
  tensorflow::ApiDefMap api_def_map TF_GUARDED_BY(lock);
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)

Android
=======

For details on developing Go for Android, see the documentation in the
mobile subrepository:

	https://github.com/golang/mobile

To run the standard library tests, enable Cgo and use an appropriate
C compiler from the Android NDK. For example,

	CGO_ENABLED=1 \
	GOOS=android \
	GOARCH=arm64 \
	CC_FOR_TARGET=$NDK/toolchains/llvm/prebuilt/linux-x86_64/bin/aarch64-linux-android21-clang \
	./all.bash

  return false;
#else   // !defined(IS_MOBILE_PLATFORM)
  bool is_alive;
  status->status =
      tensorflow::unwrap(ctx)->GetDistributedManager()->CheckRemoteAlive(
          worker_name, &is_alive);
  return is_alive;
#endif  // !IS_MOBILE_PLATFORM
}

TF_CAPI_EXPORT extern void TFE_ContextAsyncWait(TFE_Context* ctx,
                                                TF_Status* status) {

        this.mail = value;
    }

    public String getMobile() {
        checkSpecifiedProperty("mobile");
        return convertEmptyToNull(mobile);
    }

    public void setMobile(String value) {
        registerModifiedProperty("mobile");
        this.mobile = value;
    }

    public String getName() {
        checkSpecifiedProperty("name");
        return convertEmptyToNull(name);

        if (opLambda != null) {
            opLambda.callback(builder);
        }
    }

    public void setMobile_Regexp(String mobile) {
        setMobile_Regexp(mobile, null);
    }

    public void setMobile_Regexp(String mobile, ConditionOptionCall<RegexpQueryBuilder> opLambda) {
        RegexpQueryBuilder builder = regRegexpQ("mobile", mobile);

						clause.NamedExpr{"?", []interface{}{clause.Column{Name: "name"}}},
						clause.NamedExpr{"LENGTH(?)", []interface{}{clause.Column{Name: "mobile"}}},
					},
				},
			}, clause.From{}},
			"SELECT `id`, `name`, LENGTH(`mobile`) FROM `users`", nil,
		},
		{
			[]clause.Interface{clause.Select{
				Expression: clause.CommaExpression{
					Exprs: []clause.Expression{
						clause.Expr{

// 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 "

-   type: input id: OS attributes: label: OS Platform and Distribution
    description: placeholder: e.g., Linux Ubuntu 16.04 validations: required:
    false

-   type: input id: Mobile attributes: label: Mobile device description:
    placeholder: e.g., Linux Ubuntu 16.04 validations: required: false

-   type: input id: Python attributes: label: Python version description:

    validations:
      required: true
  - type: input
    id: OS
    attributes:
      label: OS platform and distribution
      placeholder: e.g., Linux Ubuntu 16.04
  - type: input
    id: Mobile
    attributes:
      label: Mobile device
      placeholder: e.g., Linux Ubuntu 16.04
  - type: input
    id: Python
    attributes:
      label: Python version
      placeholder: e.g., 3.9
  - type: input
    id: Bazel

 * [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)