tf.raw_ops.LoadTPUEmbeddingStochasticGradientDescentParameters

Load SGD embedding parameters.

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.LoadTPUEmbeddingStochasticGradientDescentParameters

 
tf.raw_ops.LoadTPUEmbeddingStochasticGradientDescentParameters(
    parameters,
    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 stochastic gradient descent 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.