Mistake in "Scopes and when to use them"

[MTDzi]

I've tried to run the penultimate example of the "Scopes and when to use them" section like so:

image1 = tf.placeholder(tf.float32, shape=[None, 100, 100, 3])
image2 = tf.placeholder(tf.float32, shape=[None, 100, 100, 3])

features1 = tf.layers.conv2d(image1, filters=32, kernel_size=3)

# Use the same convolution weights to process the second image
with tf.variable_scope(tf.get_variable_scope(), reuse=True):
    features2 = tf.layers.conv2d(image2, filters=32, kernel_size=3)

but I got:

ValueError: Variable conv2d_1/kernel does not exist, or was not created with tf.get_variable(). Did you mean to set reuse=tf.AUTO_REUSE in VarScope?

So I tried:

conv1_weights = tf.get_variable('conv1_w', [3, 3, 3, 64])
features1 = tf.nn.conv2d(image1, conv1_weights, strides=[1, 1, 1, 1], padding='SAME')

# Use the same convolution weights to process the second image
with tf.variable_scope(tf.get_variable_scope(), reuse=True):
    conv1_weights = tf.get_variable('conv1_w')
    features2 = tf.nn.conv2d(image2, conv1_weights, strides=[1, 1, 1, 1], padding='SAME')

and this does work (at least in terms of raising errors), but does not provide the segue to the final example (which uses tf.layers.conv2d).

Perhaps you know a way of modifying the current example so that it's runnable?

EDIT:
I should have added: my tf.__version__ is '1.6.0-rc0'

[vahidk]

Thanks for reporting this. This looks like a newly introduced bug in TensorFlow that doesn't behave well with unnamed scopes. Naming the scope should resolve this. I updated the doc.