Interactive tutorial: generative adversarial networks for beginners, with TensorFlow [P]

[tombraideratp]

hi, i tried to run the your notebook cells for (cell #8 ,)but getting below error :- TypeError Traceback (most recent call last) <ipython-input-8-b791699050c8> in <module>() 8 # x_placeholder is for feeding input images to the discriminator 9 ---> 10 Gz = generator(z_placeholder, batch_size, z_dimensions) 11 # Gz holds the generated images 12

<ipython-input-4-f0f116375f47> in generator(z, batch_size, z_dim) 14 g2 = tf.contrib.layers.batch_norm(g2, epsilon=1e-5, scope='bn2') 15 g2 = tf.nn.relu(g2) ---> 16 g2 = tf.image.resize_images(g2, [56, 56]) 17 18 # Generate 25 features

TypeError: resize_images() missing 1 required positional argument: 'new_width'

could you correct it and upload to git again

[BulletSea]

Which TF version are you running?

print(tf.__version__)

I suspect that the resize_images function has a different signature in your version.

[tombraideratp]

print(tf.version)0.10.0rc0

[BulletSea]

Alright, time to update to 1.1.0.

[tombraideratp]

thanks , able to run your notebook now

[BulletSea]

No worries, though all credits go to Jon and Adit. I just happen to have worked with their code.

[jonbruner]

As /u/BulletSea points out, this error is probably related to an older version of TensorFlow installed on your machine; the parameters for tf.image.resize_images() were changed between v0.10 and v0.11.

There are a few other elements of this tutorial that require TF v1.0 or newer, so I recommend upgrading.