# tf.raw_ops.RetrieveTPUEmbeddingProximalAdagradParameters

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Retrieve proximal Adagrad embedding parameters.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.RetrieveTPUEmbeddingProximalAdagradParameters(
        num_shards,
        shard_id,
        table_id=-1,
        table_name='',
        config='',
        name=None
    )

An op that retrieves optimization parameters from embedding to host
memory. Must be preceded by a ConfigureTPUEmbeddingHost op that sets up
the correct embedding table configuration. For example, this op is
used to retrieve updated parameters before saving a checkpoint.

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| ## Args ||
|---|---|
| `num_shards` | An `int`. |
| `shard_id` | An `int`. |
| `table_id` | An optional `int`. Defaults to `-1`. |
| `table_name` | An optional `string`. Defaults to `""`. |
| `config` | An optional `string`. Defaults to `""`. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A tuple of `Tensor` objects (parameters, accumulators). ||
| `parameters` | A `Tensor` of type `float32`. |
| `accumulators` | A `Tensor` of type `float32`. |

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