/TensorFlow 2.4


Creates an empty hash table that uses tensors as the backing store.

It uses "open addressing" with quadratic reprobing to resolve collisions.

This op creates a mutable hash table, specifying the type of its keys and values. Each value must be a scalar. Data can be inserted into the table using the insert operations. It does not support the initialization operation.

empty_key A Tensor. The key used to represent empty key buckets internally. Must not be used in insert or lookup operations.
value_dtype A tf.DType. Type of the table values.
container An optional string. Defaults to "". If non-empty, this table is placed in the given container. Otherwise, a default container is used.
shared_name An optional string. Defaults to "". If non-empty, this table is shared under the given name across multiple sessions.
use_node_name_sharing An optional bool. Defaults to False.
value_shape An optional tf.TensorShape or list of ints. Defaults to []. The shape of each value.
initial_num_buckets An optional int. Defaults to 131072. The initial number of hash table buckets. Must be a power to 2.
max_load_factor An optional float. Defaults to 0.8. The maximum ratio between number of entries and number of buckets before growing the table. Must be between 0 and 1.
name A name for the operation (optional).
A Tensor of type mutable string.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.