tf.raw_ops.RetrieveTPUEmbeddingStochasticGradientDescentParameters

Retrieve SGD embedding parameters.

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.RetrieveTPUEmbeddingStochasticGradientDescentParameters

 
tf.raw_ops.RetrieveTPUEmbeddingStochasticGradientDescentParameters(
    num_shards,
    shard_id,
    table_id=-1,
    table_name='',
    config='',
    name=None
)

An op that retrieves optimization parameters from embedding to host memory. Must be preceded by a ConfigureTPUEmbeddingHost op that sets up the correct embedding table configuration. For example, this op is used to retrieve updated parameters before saving a checkpoint.

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).

A Tensor of type float32.