tensorflow AttributeError: 'module' object has no attribute 'data'
tensorflow AttributeError: 'module' object has no attribute 'data'
我尝试加载我创建的 tfrecords 数据集。但我总是得到这个错误。
代码如下:
import tensorflow as tf
EPOCHS = 10
BATCH_SIZE = 32
train_filename = ['rain.tfrecords']
dataset = tf.data.TFRecordDataset(train_filename)
#dataset = dataset.map(...)
dataset = dataset.repeat(EPOCHS)
dataset = dataset.batch(BATCH_SIZE)
iterator = dataset.make_one_shot_iterator()
next_images, next_labels = iterator.get_next()
loss = tf.add(1,next_labels)
with tf.Session() as sess:
tf.global_variables_initializer().run()
for step in xrange(10):
curr_loss= sess.run(loss)
但是tf.data...应该存在?
谢谢
您可能 运行 旧版本的 tensorflow。尝试将其更新为 1.4,其中包含数据 API.
我尝试加载我创建的 tfrecords 数据集。但我总是得到这个错误。
代码如下:
import tensorflow as tf
EPOCHS = 10
BATCH_SIZE = 32
train_filename = ['rain.tfrecords']
dataset = tf.data.TFRecordDataset(train_filename)
#dataset = dataset.map(...)
dataset = dataset.repeat(EPOCHS)
dataset = dataset.batch(BATCH_SIZE)
iterator = dataset.make_one_shot_iterator()
next_images, next_labels = iterator.get_next()
loss = tf.add(1,next_labels)
with tf.Session() as sess:
tf.global_variables_initializer().run()
for step in xrange(10):
curr_loss= sess.run(loss)
但是tf.data...应该存在? 谢谢
您可能 运行 旧版本的 tensorflow。尝试将其更新为 1.4,其中包含数据 API.