tf.contrib.lookup.index_to_string_table_from_tensor(
mapping,
default_value='UNK',
name=None
)
Defined in tensorflow/contrib/lookup/lookup_ops.py
.
Returns a lookup table that maps a Tensor
of indices into strings.
This operation constructs a lookup table to map int64 indices into string
values. The mapping is initialized from a string mapping
1-D 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
session.run(tf.tables_initializer)
or session.run(table.init)
once.
Elements in mapping
cannot have duplicates, otherwise when executing the
table initializer op, it will throw a FailedPreconditionError
.
Sample Usages:
mapping_string = tf.constant(["emerson", "lake", "palmer"])
indices = tf.constant([1, 5], tf.int64)
table = tf.contrib.lookup.index_to_string_table_from_tensor(
mapping_string, default_value="UNKNOWN")
values = table.lookup(indices)
...
tf.tables_initializer().run()
values.eval() ==> ["lake", "UNKNOWN"]
Args:
mapping
: A 1-D stringTensor
that specifies the strings to map from indices.default_value
: The value to use for out-of-vocabulary indices.name
: A name for this op (optional).
Returns:
The lookup table to map a string values associated to a given index int64
Tensors
.
Raises:
ValueError
: whenmapping
is not set.