feature_column_ops_test.py 文件源码

def testEmbeddingColumnWithCrossedColumnSucceedsForDNN(self):
    a = tf.contrib.layers.sparse_column_with_hash_bucket("aaa",
                                                         hash_bucket_size=100)
    b = tf.contrib.layers.sparse_column_with_hash_bucket("bbb",
                                                         hash_bucket_size=100)
    crossed = tf.contrib.layers.crossed_column(
        set([a, b]), hash_bucket_size=10000)
    wire_tensor = tf.SparseTensor(values=["omar", "stringer", "marlo"],
                                  indices=[[0, 0], [1, 0], [1, 1]],
                                  shape=[2, 2])
    features = {"aaa": wire_tensor, "bbb": wire_tensor}
    embeded_sparse = tf.contrib.layers.embedding_column(crossed, 10)
    output = tf.contrib.layers.input_from_feature_columns(features,
                                                          [embeded_sparse])
    with self.test_session():
      tf.initialize_all_variables().run()
      self.assertAllEqual(output.eval().shape, [2, 10])