# tf.contrib.lookup.index_to_string

tf.contrib.lookup.index_to_string(
tensor,
mapping,
default_value='UNK',
name=None
)


Maps tensor of indices into string values based on mapping. (deprecated)

THIS FUNCTION IS DEPRECATED. It will be removed after 2017-01-07. Instructions for updating: This op will be removed after the deprecation date. Please switch to index_to_string_table_from_tensor and call the lookup method of the returned table.

This operation converts int64 indices into string values. The mapping is initialized from a string mapping tensor where each element is a value and the corresponding index within the tensor is the key.

Any input which does not have a corresponding index in 'mapping' (an out-of-vocabulary entry) is assigned the default_value

The underlying table must be initialized by calling tf.tables_initializer.run() once.

For example:

mapping_string = tf.constant(["emerson", "lake", "palmer"])
indices = tf.constant([1, 5], tf.int64)
values = tf.contrib.lookup.index_to_string(
indices, mapping=mapping_string, default_value="UNKNOWN")
...
tf.tables_initializer().run()

values.eval() ==> ["lake", "UNKNOWN"]


#### Args:

• tensor: A int64 Tensor with the indices to map to strings.
• mapping: A 1-D string Tensor that specifies the strings to map from indices.
• default_value: The string value to use for out-of-vocabulary indices.
• name: A name for this op (optional).

#### Returns:

The strings values associated to the indices. The resultant dense feature value tensor has the same shape as the corresponding indices.