Tensorboard can not find folder already created

[javierrcyb]

Hey! So I am trying to use Tensorboard to visualize my learning rate and other parameters. But for some reason I am constantly getting an error message that the folder does not exist, despite it does. I do not know if It's something in my code or what, please help me! (I have everything imported)

log_dir = "logs/fit/" + datetime.datetime.now().strftime("%Y%m%d-%H%M%S")
if os.path.isfile(log_dir): os.remove(log_dir) os.makedirs(log_dir, exist_ok=True)

def exponential_decay(lr0, s): def exponential_decay_fn(epoch): return lr0 * 0.1**(epoch / s) return exponential_decay_fn exponential_decay_fn = exponential_decay(lr0=0.01, s=20)

lr_scheduler = keras.callbacks.LearningRateScheduler(exponential_decay_fn)
tensorboard_cb = tf.keras.callbacks.TensorBoard(log_dir=log_dir, histogram_freq=1)
early_stopping_cb = keras.callbacks.EarlyStopping(patience=10, restore_best_weights=True)
checkpoint_cb = keras.callbacks.ModelCheckpoint("my_keras_model.keras", save_best_only=True)

model = keras.models.Sequential([ keras.Input(shape=(32, 32, 3)), keras.layers.Flatten() ] + [ keras.layers.Dense(100, activation='elu', kernel_initializer='he_normal') for _ in range(20) ] + [ keras.layers.Dense(10, activation='softmax') ])

model.compile( optimizer='adam', loss='sparse_categorical_crossentropy', metrics=['accuracy'] )

history = model.fit( x_train, y_train, epochs=50, validation_data=(x_valid, y_valid), callbacks=[tensorboard_cb, early_stopping_cb, checkpoint_cb, lr_scheduler ] )

An this is the error message:
FailedPreconditionError: {{function_node __wrapped__CreateSummaryFileWriter_device_/job:localhost/replica:0/task:0/device:CPU:0}} logs/fit/20250602-134828 is not a directory [Op:CreateSummaryFileWriter] name: