I have the following function:
def build_estimator(model_dir, model_type):
    """Build an estimator."""
    # Wide columns and deep columns.
    wide_columns = []
    deep_columns = []
    for c in COLUMNS:
        # Sparse base columns.
        print(">>>>>>>>>>>>>>>>>>>")
        print(c)
        column = tf.contrib.layers.sparse_column_with_hash_bucket(c, hash_bucket_size=10000)
        deep_columns.append(tf.contrib.layers.embedding_column(column, dimension=8))
        #wide_columns.append(column)
    if model_type == "wide":
        m = tf.contrib.learn.LinearClassifier(model_dir=model_dir, 
                                              feature_columns=wide_columns)
    elif model_type == "deep":
        m = tf.contrib.learn.DNNClassifier(model_dir=model_dir, 
                                           feature_columns=deep_columns, 
                                           hidden_units=[100, 50])
    else:
        m = tf.contrib.learn.DNNLinearCombinedClassifier(
            model_dir=model_dir,
            linear_feature_columns=wide_columns,
            dnn_feature_columns=deep_columns,
            dnn_hidden_units=[100, 50])
    return m
But when I run it, I get this exception:
Traceback (most recent call last):
File "ad_tf.py", line 336, in
main([sys.argv[0]] + unparsed)
File "ad_tf.py", line 218, in main
m = build_estimator(model_dir, 'wide_n_deep')
File "ad_tf.py", line 58, in build_estimator
column = tf.contrib.layers.sparse_column_with_hash_bucket(c, hash_bucket_size=10000)
AttributeError: module 'tensorflow' has no attribute 'contrib'
I tried using tensorflow 1.x but it didn't dix anything. What is the replacement to contrib?