feature_column_ops_test.py 文件源码

def testEmbeddingColumnWithInitializerSucceedsForDNN(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}
    init_value = 133.7
    embeded_sparse = feature_column.embedding_column(
        hashed_sparse,
        10,
        initializer=init_ops.constant_initializer(init_value))
    output = feature_column_ops.input_from_feature_columns(features,
                                                           [embeded_sparse])

    with self.test_session():
      variables_lib.global_variables_initializer().run()
      output_eval = output.eval()
      self.assertAllEqual(output_eval.shape, [2, 10])
      self.assertAllClose(output_eval, np.tile(init_value, [2, 10]))