tf.raw_ops.LoadTPUEmbeddingFrequencyEstimatorParameters

Load frequency estimator embedding parameters.

tf.raw_ops.LoadTPUEmbeddingFrequencyEstimatorParameters(
    parameters,
    last_hit_step,
    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.

parametersA Tensor of type float32. Value of parameters used in the frequency estimator optimization algorithm.
last_hit_stepA Tensor of type float32. Value of last_hit_step used in the frequency estimator optimization algorithm.
num_shardsAn int.
shard_idAn int.
table_idAn optional int. Defaults to -1.
table_nameAn optional string. Defaults to "".
configAn optional string. Defaults to "".
nameA name for the operation (optional).

The created Operation.