tf.raw_ops.LoadTPUEmbeddingRMSPropParameters

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 that is >= -1. 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.