tf.contrib.lookup.string_to_index(
tensor,
mapping,
default_value=-1,
name=None
)
Defined in tensorflow/contrib/lookup/lookup_ops.py
.
Maps tensor
of strings into int64
indices based on mapping
. (deprecated)
This operation converts tensor
of strings into int64
indices.
The mapping is initialized from a string mapping
tensor where each element
is a key and corresponding index within the tensor is the value.
Any entry in the input which does not have a corresponding entry in 'mapping'
(an out-of-vocabulary entry) is assigned the default_value
Elements in mapping
cannot be duplicated, otherwise the initialization
will throw a FailedPreconditionError.
The underlying table must be initialized by calling
session.run(tf.tables_initializer)
once.
For example:
mapping_strings = tf.constant(["emerson", "lake", "palmer"])
feats = tf.constant(["emerson", "lake", "and", "palmer"])
ids = tf.contrib.lookup.string_to_index(
feats, mapping=mapping_strings, default_value=-1)
...
tf.tables_initializer().run()
ids.eval() ==> [0, 1, -1, 2]
Args:
tensor
: A 1-D inputTensor
with the strings to map to indices.mapping
: A 1-D stringTensor
that specifies the mapping of strings to indices.default_value
: Theint64
value to use for out-of-vocabulary strings. Defaults to -1.name
: A name for this op (optional).
Returns:
The mapped indices. It has the same shape and tensor type (dense or sparse)
as tensor
.