无法创建目录：日志/适合

Question

使用TensorFlow 1.13.1，我可以使用Tensorboard保存日志，但是当我升级到TensorFlow 2.0.0_alpha0时，相同的代码给我错误：

"Failed to create a directory: logs/fit/20190411-193710\train; No such file or directory [Op:CreateSummaryFileWriter]" 

我该如何针对TensorFlow 2.0.0_alpha0进行更正”>

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])

使用TensorFlow 1.13.1，我可以使用Tensorboard保存日志，但是当我升级到TensorFlow 2.0.0_alpha0时，相同的代码给我错误：“无法创建目录：logs / fit / 20190411-193710 \ ...

Answer 1

我认为您在Windows环境中。对于Windows，请尝试此