<span style="background-color:#007166"><font color="#D3D7CF"> module </font></span>  🐍 main.py

     <span style="background-color:#007166"><font color="#D3D7CF"> code </font></span>  Importing the FastAPI app object from the module with
             the following code:

   <span style="background-color:#007166"><font color="#D3D7CF"> module </font></span>  🐍 main.py

     <span style="background-color:#007166"><font color="#D3D7CF"> code </font></span>  Importing the FastAPI app object from the module with
             the following code:

// Load the library specified by library_filename and register the pluggable
// device and related kernels present in that library. This function is not
// supported on embedded on mobile and embedded platforms and will fail if
// called.
//
// Pass "library_filename" to a platform-specific mechanism for dynamically
// loading a library. The rules for determining the exact location of the

		if modDir != "" {
			// In module mode, the user may reasonably expect the entire module
			// to be present. Copy it over.
			deviceModDir := path.Join(deviceGopath, "src", modPath)
			if err := adb("exec-out", "mkdir", "-p", path.Dir(deviceModDir)); err != nil {
				return 0, err
			}
			// We use a single recursive 'adb push' of the module root instead of

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 =

          <description>
            Configuration for different proxy profiles. Multiple proxy profiles
            might come in handy for anyone working from a notebook or other
            mobile platform, to enable easy switching of entire proxy
            configurations by simply specifying the profile id, again either from
            the command line or from the defaults section below.
          </description>

  /**
   * <a
   * href="https://developer.apple.com/library/archive/documentation/NetworkingInternet/Conceptual/iPhoneOTAConfiguration/profile-service/profile-service.html">Apple
   * over-the-air mobile configuration profiles</a>.
   *
   * @since 18.0
   */
  public static final MediaType APPLE_MOBILE_CONFIG =
      createConstant(APPLICATION_TYPE, "x-apple-aspen-config");

  /**
   * <a

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

  /**
   * <a
   * href="https://developer.apple.com/library/archive/documentation/NetworkingInternet/Conceptual/iPhoneOTAConfiguration/profile-service/profile-service.html">Apple
   * over-the-air mobile configuration profiles</a>.
   *
   * @since 18.0
   */
  public static final MediaType APPLE_MOBILE_CONFIG =
      createConstant(APPLICATION_TYPE, "x-apple-aspen-config");

  /**
   * <a