tf.raw_ops.LoadTPUEmbeddingRMSPropParameters
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Load RMSProp embedding parameters.
tf.raw_ops.LoadTPUEmbeddingRMSPropParameters(
parameters,
ms,
mom,
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.
Args |
|---|
parameters | A Tensor of type float32. Value of parameters used in the RMSProp optimization algorithm. |
ms | A Tensor of type float32. Value of ms used in the RMSProp optimization algorithm. |
mom | A Tensor of type float32. Value of mom used in the RMSProp 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). |
Returns |
|---|
| The created Operation. |
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Last updated 2024-04-26 UTC.
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