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Returns a lookup table that maps a Tensor of indices into strings.
tf.contrib.lookup.index_to_string_table_from_tensor(
mapping, default_value='UNK', name=None
)
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.compat.v1.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.compat.v1.tables_initializer().run()
values.eval() ==> ["lake", "UNKNOWN"]
Args | |
|---|---|
mapping
|
A 1-D string Tensor 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.
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Raises | |
|---|---|
ValueError
|
when mapping is not set.
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