tf.raw_ops.LoadTPUEmbeddingADAMParameters

Load ADAM embedding parameters.

tf.raw_ops.LoadTPUEmbeddingADAMParameters(
    parameters,
    momenta,
    velocities,
    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.

parameters A Tensor of type float32. Value of parameters used in the ADAM optimization algorithm. momenta A Tensor of type float32. Value of momenta used in the ADAM optimization algorithm. velocities A Tensor of type float32. Value of velocities used in the ADAM 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).

The created Operation.