def max(x, axis=None, keepdims=False):
    axis = _normalize_axis(axis, ndim(x))
    return tf.reduce_max(x, reduction_indices=axis, keep_dims=keepdims)
git.present
dataset/ETHPy150Open fchollet/keras/keras/backend/tensorflow_backend.py/max--crossover with--dataset/ETHPy150Open saltstack/salt/tests/integration/states/git.py/GitTest.test_present_failure