A generic hash table that is immutable once initialized.
Inherits From: StaticHashTable
View aliases
Compat aliases for migration
See Migration guide for more details.
tf.lookup.StaticHashTable(
initializer, default_value, name=None
)
When running in graph mode, you must evaluate the tensor returned by
tf.tables_initializer()
before evaluating the tensor returned by
this class's lookup()
method. Example usage in graph mode:
keys_tensor = tf.constant([1, 2])
vals_tensor = tf.constant([3, 4])
input_tensor = tf.constant([1, 5])
table = tf.lookup.StaticHashTable(
tf.lookup.KeyValueTensorInitializer(keys_tensor, vals_tensor), -1)
out = table.lookup(input_tensor)
with tf.Session() as sess:
sess.run(tf.tables_initializer())
print(sess.run(out))
In eager mode, no special code is needed to initialize the table. Example usage in eager mode:
tf.enable_eager_execution()
keys_tensor = tf.constant([1, 2])
vals_tensor = tf.constant([3, 4])
input_tensor = tf.constant([1, 5])
table = tf.lookup.StaticHashTable(
tf.lookup.KeyValueTensorInitializer(keys_tensor, vals_tensor), -1)
print(table.lookup(input_tensor))
Args | |
---|---|
initializer
|
The table initializer to use. See HashTable kernel for
supported key and value types.
|
default_value
|
The value to use if a key is missing in the table. |
name
|
A name for the operation (optional). |
Attributes | |
---|---|
default_value
|
The default value of the table. |
initializer
|
|
key_dtype
|
The table key dtype. |
name
|
The name of the table. |
resource_handle
|
Returns the resource handle associated with this Resource. |
value_dtype
|
The table value dtype. |
Methods
export
export(
name=None
)
Returns tensors of all keys and values in the table.
Args | |
---|---|
name
|
A name for the operation (optional). |
Returns | |
---|---|
A pair of tensors with the first tensor containing all keys and the second tensors containing all values in the table. |
lookup
lookup(
keys, name=None
)
Looks up keys
in a table, outputs the corresponding values.
The default_value
is used for keys not present in the table.
Args | |
---|---|
keys
|
Keys to look up. May be either a SparseTensor or dense Tensor .
|
name
|
A name for the operation (optional). |
Returns | |
---|---|
A SparseTensor if keys are sparse, otherwise a dense Tensor .
|
Raises | |
---|---|
TypeError
|
when keys or default_value doesn't match the table data
types.
|
size
size(
name=None
)
Compute the number of elements in this table.
Args | |
---|---|
name
|
A name for the operation (optional). |
Returns | |
---|---|
A scalar tensor containing the number of elements in this table. |