# tf.raw_ops.MutableHashTableOfTensors

<br />

Creates an empty hash table.

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.raw_ops.MutableHashTableOfTensors`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/MutableHashTableOfTensors)

<br />

    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.

<br />

<br />

<br />

| ## Args ||
|---|---|
| `key_dtype` | A [`tf.DType`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/dtypes/DType). Type of the table keys. |
| `value_dtype` | A [`tf.DType`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/dtypes/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`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/TensorShape) or list of `ints`. Defaults to `[]`. |
| `name` | A name for the operation (optional). |

<br />

<br />

<br />

<br />

| ## Returns ||
|---|---|
| A `Tensor` of type mutable `string`. ||

<br />