def batch_flatten(x):
    x = tf.reshape(x, [-1, np.prod(x.get_shape()[1:].as_list())])
    return x
Configuration options for sphinx.
dataset/ETHPy150Open fchollet/keras/keras/backend/tensorflow_backend.py/batch_flatten--crossover with--dataset/ETHPy150Open hyde/hyde/hyde/ext/plugins/sphinx.py/SphinxPlugin.sphinx_config