

def min(x, axis=None, keepdims=False):
    'Minimum value in a tensor.\n    '
    axis = _normalize_axis(axis, ndim(x))
    return tf.reduce_min(axis, reduction_indices=axis, keep_dims=keepdims)

dataset/ETHPy150Open fchollet/keras/keras/backend/tensorflow_backend.py min/VarMisuse@37/55 `x`->`axis`