# tf.raw_ops.LoadTPUEmbeddingProximalAdagradParametersGradAccumDebug

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Load proximal Adagrad embedding parameters with debug support.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.LoadTPUEmbeddingProximalAdagradParametersGradAccumDebug(
        parameters, accumulators, gradient_accumulators, num_shards, shard_id,
        table_id=-1, table_name='', config='', name=None
    )

An op that loads optimization parameters into HBM for embedding. Must be
preceded by a ConfigureTPUEmbeddingHost op that sets up the correct
embedding table configuration. For example, this op is used to install
parameters that are loaded from a checkpoint before a training loop is
executed.

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| ## Args ||
|---|---|
| `parameters` | A `Tensor` of type `float32`. Value of parameters used in the proximal Adagrad optimization algorithm. |
| `accumulators` | A `Tensor` of type `float32`. Value of accumulators used in the proximal Adagrad optimization algorithm. |
| `gradient_accumulators` | A `Tensor` of type `float32`. Value of gradient_accumulators used in the proximal Adagrad optimization algorithm. |
| `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 ||
|---|---|
| The created Operation. ||

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