To set gpu memory rate manually when using keras

from tensorflow.compat.v1 import ConfigProto
from tensorflow.compat.v1 import InteractiveSession
config = ConfigProto()
config.gpu_options.per_process_gpu_memory_fraction = 0.8
session = InteractiveSession(config=config)

tensorflow.python.framework.errors_impl.UnknownError: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize

add this code below on the top of the source code

gpus = tf.config.experimental.list_physical_devices('GPU')
if gpus:
    try:
        # Currently, memory growth needs to be the same across GPUs
        for gpu in gpus:
            tf.config.experimental.set_memory_growth(gpu, True)
        logical_gpus = tf.config.experimental.list_logical_devices('GPU')
        print(len(gpus), "Physical GPUs,", len(logical_gpus), "Logical GPUs")
    except RuntimeError as e:
    # Memory growth must be set before GPUs have been initialized
        print(e)

After removing storyboard, app appears black in iOS with Objective-c.

1. set iOS version over 13 and make "Main Interface" is empty

2. add a ViewController

3. nd code below in the SceneDelegate.m 

- (void)scene:(UIScene *)scene willConnectToSession:(UISceneSession *)session options:(UISceneConnectionOptions *)connectionOptions {

    // Use this method to optionally configure and attach the UIWindow `window` to the provided UIWindowScene `scene`.

    // If using a storyboard, the `window` property will automatically be initialized and attached to the scene.

    // This delegate does not imply the connecting scene or session are new (see `application:configurationForConnectingSceneSession` instead).

    

    self.window = [[UIWindow alloc] initWithWindowScene:(UIWindowScene*)scene];

    MainViewController *controller = [[MainViewController alloc] initWithNibName:@"MainViewController" bundle:nil];

    self.window.backgroundColor = [UIColor redColor];

    self.window.rootViewController = controller;

    [self.window makeKeyAndVisible];

}