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Maps tensor
of indices into string values based on mapping
. (deprecated)
tf.contrib.lookup.index_to_string(
tensor, mapping, default_value='UNK', name=None
)
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
session.run(tf.compat.v1.tables_initializer)
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.compat.v1.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 .
|