// 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 "
      "https://github.com/tensorflow/tensorflow/issues if this feature is "
      "important to you");

		Email  string
		Mobile string `gorm:"default:'133xxxx'"`
	}

	err := DB.Migrator().DropTable(&OnConflictUser{})
	AssertEqual(t, err, nil)
	err = DB.AutoMigrate(&OnConflictUser{})
	AssertEqual(t, err, nil)

	u := OnConflictUser{
		ID:     "on-conflict-user-id",
		Name:   "on-conflict-user-name",
		Email:  "on-conflict-user-email",
		Mobile: "on-conflict-user-mobile",
	}

        ":with_tpu_support_flag",
    ],
    visibility = ["//visibility:public"],
)

# Specifies via a config setting if this is a mobile build or not, makes
# it easier to combine settings later.
selects.config_setting_group(
    name = "mobile",
    match_any = [
        ":android",
        ":chromiumos",
        # TODO(jakeharmon8): Move all platform configs to TSL with fuchsia (non-blocking)

pre-defined access policies for applications/users to interact with MinIO object storage.

Calling AssumeRoleWithWebIdentity does not require the use of MinIO root or IAM credentials. Therefore, you can distribute an application (for example, on mobile devices) that requests temporary security credentials without including MinIO long lasting credentials in the application. Instead, the identity of the caller is validated by using a JWT id_token from the web identity provider. The temporary security...

#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);
  static std::unordered_map<std::string, void*>* loaded_libs =

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

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

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

# BEGIN TF REMOTE BUILD EXECUTION OPTIONS

 * of project dependencies. This optimizes module loading during runtime, as we will only load external
 * modules that are not loaded transitively by other project modules.
 *
 * We perform this filtering, since if we simply include all external dependencies, regardless of whether
 * they are already loaded transitively, there is a measurable performance impact during module-loading.
 */

    size.
*   TensorFlow 1.15 contains a complete implementation of the 2.0 API in its
    `compat.v2` module. It contains a copy of the 1.15 main module (without
    `contrib`) in the `compat.v1` module. TensorFlow 1.15 is able to emulate 2.0
    behavior using the `enable_v2_behavior()` function. This enables writing
    forward compatible code: by explicitly importing either

                    }
                    subprojects {
                        apply(plugin = "gradlebuild.module-identity")
                        apply(plugin = "kotlin")
                        the<GradleModuleExtension>().identity.baseName.set("api-module")
                        repositories {
                            mavenCentral()
                        }

Justin Van Dort <******@****.***> 1739558135 -0500