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Will tf.global_variables_initializer() also initialize the iterator for tf.data.Dataset?

I was wondering whether tf.global_variables_initializer() also initializes the iterator for tf.data.Dataset, or I need to initialize the iterator separately as:

tf.global_variables_initializer()

iterator

tf.data.Dataset

iterator


iterator = dataset.make_initializable_iterator()
sess.run(iterator.initializer)



iterator = dataset.make_initializable_iterator()
sess.run(iterator.initializer)


1 Answer
1

You have to initialize the iterator separately.
There is None variable feed to tf.global_variables_initializer()

tf.global_variables_initializer()

official example:

max_value = tf.placeholder(tf.int64, shape=)
dataset = tf.data.Dataset.range(max_value)
iterator = dataset.make_initializable_iterator()
next_element = iterator.get_next()

# Initialize an iterator over a dataset with 10 elements.
sess.run(iterator.initializer, feed_dict=max_value: 10)
for i in range(10):
value = sess.run(next_element)
assert i == value

# Initialize the same iterator over a dataset with 100 elements.
sess.run(iterator.initializer, feed_dict=max_value: 100)
for i in range(100):
value = sess.run(next_element)
assert i == value


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