With TensorFlow 1.13.1, I can save the logs with Tensorboard but when I upgrade to TensorFlow 2.0.0_alpha0 the same code gives me the error:
"Failed to create a directory: logs/fit/20190411-193710\train; No such file or directory [Op:CreateSummaryFileWriter]"
What can I do to correct this for TensorFlow 2.0.0_alpha0
import tensorflow as tf
import datetime
mnist = tf.keras.datasets.mnist
(x_train, y_train),(x_test, y_test) = mnist.load_data()
x_train, x_test = x_train / 255.0, x_test / 255.0
def create_model():
return tf.keras.models.Sequential([
tf.keras.layers.Flatten(input_shape=(28, 28)),
tf.keras.layers.Dense(512, activation='relu'),
tf.keras.layers.Dropout(0.2),
tf.keras.layers.Dense(10, activation='softmax')
])
model = create_model()
model.compile(optimizer='adam',
loss='sparse_categorical_crossentropy',
metrics=['accuracy'])
log_dir="logs/fit/"
tensorboard_callback = tf.keras.callbacks.TensorBoard(log_dir=log_dir,
histogram_freq=1)
model.fit(x=x_train,
y=y_train,
epochs=5,
validation_data=(x_test, y_test),
callbacks=[tensorboard_callback])
I think you are in windows environment.
For Windows try this
log_dir="logs\\fit\\"
Or the best solution would be to make this machine independent.
Try this
import os
log_dir= os.path.join('logs','fit','')
You will get the same result but this will work on any Operating System
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