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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 . |
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Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/raw_ops/MutableHashTableOfTensors