tf.raw_ops.MutableDenseHashTableV2
Creates an empty hash table that uses tensors as the backing store.
tf.raw_ops.MutableDenseHashTableV2(
empty_key, deleted_key, value_dtype, container='', shared_name='',
use_node_name_sharing=False, value_shape=[], initial_num_buckets=131072,
max_load_factor=0.8, name=None
)
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.
| Args | |
|---|---|
empty_key |
A Tensor. The key used to represent empty key buckets internally. Must not be used in insert or lookup operations. |
deleted_key |
A Tensor. Must have the same type as empty_key. |
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). |
| Returns | |
|---|---|
A Tensor of type resource. |
© 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.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/MutableDenseHashTableV2