python-3.x - InvalidArgumentError：无法创建 NewWriteableFile：文件名、目录名或卷标语法不正确。; 未知错误

Question

我正在尝试训练 keggle 猫狗图像数据集。我需要查看张量板输出。但它带有一个错误

import numpy as np
from tensorflow.keras.datasets import cifar10
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Dropout, Activation, Flatten, Conv2D, MaxPooling2D
from tensorflow.keras.callbacks import TensorBoard
import pickle
import time
import datetime

tensorboard = TensorBoard(log_dir=f".\\logs\\MODEL\\", histogram_freq=1, write_grads=True)

X = pickle.load(open("X.pickle", "rb"))
y = np.asarray(pickle.load(open("y.pickle", "rb")))

X = X/255.0

model = Sequential()
model.add(Conv2D(64, (3,3), input_shape = X.shape[1:]))
model.add(Activation("relu"))
model.add(MaxPooling2D(pool_size=(2,2)))

model.add(Conv2D(64, (3,3)))
model.add(Activation("relu"))
model.add(MaxPooling2D(pool_size=(2,2)))

model.add(Flatten())
model.add(Dense(64))

model.add(Dense(1))
model.add(Activation('sigmoid'))

model.compile(loss="sparse_categorical_crossentropy", optimizer="adam", metrics=['accuracy'])
model.fit(X, y, batch_size=32, epochs=3, validation_split=0.3, callbacks=[tensorboard])

这是错误信息

<ipython-input-52-2af34454ac99> in <module>
     33 
     34 model.compile(loss="sparse_categorical_crossentropy", optimizer="adam", metrics=['accuracy'])
---> 35 model.fit(X, y, batch_size=32, epochs=3, validation_split=0.3, callbacks=[tensorboard])
     36 
     37 

InvalidArgumentError: Failed to create a NewWriteableFile: .\logs\MODEL\train/events.out.tfevents.1573665973.????.5560.13886.v2 : The filename, directory name, or volume label syntax is incorrect.
; Unknown error
    Creating writable file .\logs\MODEL\train/events.out.tfevents.1573665973.????.5560.13886.v2
    Could not initialize events writer. [Op:CreateSummaryFileWriter]

我正在使用 jupyter notebook，tesorflow 版本 2

标签： python-3.xtensorflowkerasdeep-learningtensorboard