tf.raw_ops.AnonymousMutableDenseHashTable
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Creates an empty anonymous mutable hash table that uses tensors as the backing store.
tf.raw_ops.AnonymousMutableDenseHashTable(
empty_key,
deleted_key,
value_dtype,
value_shape=[],
initial_num_buckets=131072,
max_load_factor=0.8,
name=None
)
This op creates a new anonymous mutable hash table (as a resource) everytime
it is executed, with the specified dtype of its keys and values,
returning the resource handle. Each value must be a scalar.
Data can be inserted into the table using
the insert operations. It does not support the initialization operation.
It uses "open addressing" with quadratic reprobing to resolve
collisions.
The table is anonymous in the sense that it can only be
accessed by the returned resource handle (e.g. it cannot be looked up
by a name in a resource manager). The table will be automatically
deleted when all resource handles pointing to it are gone.
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.
|
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 .
|
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Last updated 2024-04-26 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[],null,["# tf.raw_ops.AnonymousMutableDenseHashTable\n\n\u003cbr /\u003e\n\nCreates an empty anonymous mutable hash table that uses tensors as the backing store.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.raw_ops.AnonymousMutableDenseHashTable`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/AnonymousMutableDenseHashTable)\n\n\u003cbr /\u003e\n\n tf.raw_ops.AnonymousMutableDenseHashTable(\n empty_key,\n deleted_key,\n value_dtype,\n value_shape=[],\n initial_num_buckets=131072,\n max_load_factor=0.8,\n name=None\n )\n\nThis op creates a new anonymous mutable hash table (as a resource) everytime\nit is executed, with the specified dtype of its keys and values,\nreturning the resource handle. Each value must be a scalar.\nData can be inserted into the table using\nthe insert operations. It does not support the initialization operation.\n\nIt uses \"open addressing\" with quadratic reprobing to resolve\ncollisions.\n\nThe table is anonymous in the sense that it can only be\naccessed by the returned resource handle (e.g. it cannot be looked up\nby a name in a resource manager). The table will be automatically\ndeleted when all resource handles pointing to it are gone.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-----------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `empty_key` | A `Tensor`. The key used to represent empty key buckets internally. Must not be used in insert or lookup operations. |\n| `deleted_key` | A `Tensor`. Must have the same type as `empty_key`. |\n| `value_dtype` | A [`tf.DType`](../../tf/dtypes/DType). Type of the table values. |\n| `value_shape` | An optional [`tf.TensorShape`](../../tf/TensorShape) or list of `ints`. Defaults to `[]`. The shape of each value. |\n| `initial_num_buckets` | An optional `int`. Defaults to `131072`. The initial number of hash table buckets. Must be a power to 2. |\n| `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. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor` of type `resource`. ||\n\n\u003cbr /\u003e"]]