I can create a normal placeholder by tf.placeholder(shape=[], dtype=tf.float32) and a sparse placeholder by tf.sparse_placeholder(shape=[], dtype=tf.float
tf.placeholder(shape=[], dtype=tf.float32)
tf.sparse_placeholder(shape=[], dtype=tf.float