feature_column_ops_test.py 文件源码

def testEmbeddingColumnWithMultipleInitializersFails(self):
    hashed_sparse = feature_column.sparse_column_with_hash_bucket("wire", 10)
    wire_tensor = sparse_tensor.SparseTensor(
        values=["omar", "stringer", "marlo"],
        indices=[[0, 0], [1, 0], [1, 1]],
        dense_shape=[2, 2])
    features = {"wire": wire_tensor}
    embedded_sparse = feature_column.embedding_column(
        hashed_sparse,
        10,
        initializer=init_ops.truncated_normal_initializer(
            mean=42, stddev=1337))
    embedded_sparse_alternate = feature_column.embedding_column(
        hashed_sparse,
        10,
        initializer=init_ops.truncated_normal_initializer(
            mean=1337, stddev=42))

    # Makes sure that trying to use different initializers with the same
    # embedding column explicitly fails.
    with self.test_session():
      with self.assertRaisesRegexp(
          ValueError,
          "Duplicate feature column key found for column: wire_embedding"):
        feature_column_ops.input_from_feature_columns(
            features, [embedded_sparse, embedded_sparse_alternate])