Retrieve Adadelta embedding parameters with debug support.
tf.raw_ops.RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug(
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.
Args | |
|---|---|
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 | |
|---|---|
A tuple of Tensor objects (parameters, accumulators, updates, gradient_accumulators).
|
|
parameters
|
A Tensor of type float32.
|
accumulators
|
A Tensor of type float32.
|
updates
|
A Tensor of type float32.
|
gradient_accumulators
|
A Tensor of type float32.
|