tf.raw_ops.MutableHashTableOfTensors
Creates an empty hash table.
tf.raw_ops.MutableHashTableOfTensors(
    key_dtype, value_dtype, container='', shared_name='',
    use_node_name_sharing=False, value_shape=[], name=None
)
  This op creates a mutable hash table, specifying the type of its keys and values. Each value must be a vector. Data can be inserted into the table using the insert operations. It does not support the initialization operation.
| Args | |
|---|---|
 key_dtype  |   A tf.DType. Type of the table keys.  |  
 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 [].  |  
 name  |  A name for the operation (optional). | 
| Returns | |
|---|---|
 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.
    https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/MutableHashTableOfTensors