Load MDL Adagrad Light embedding parameters.
tf.raw_ops.LoadTPUEmbeddingMDLAdagradLightParameters(
parameters,
accumulators,
weights,
benefits,
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 MDL Adagrad Light optimization algorithm.
|
accumulators
|
A Tensor of type float32 .
Value of accumulators used in the MDL Adagrad Light optimization algorithm.
|
weights
|
A Tensor of type float32 .
Value of weights used in the MDL Adagrad Light optimization algorithm.
|
benefits
|
A Tensor of type float32 .
Value of benefits used in the MDL Adagrad Light 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).
|
Returns |
The created Operation.
|