tf.raw_ops.RetrieveTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug

Retrieve SGD embedding parameters with debug support.

tf.raw_ops.RetrieveTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug(
    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 tuple of Tensor objects (parameters, gradient_accumulators).
parameters A Tensor of type float32.
gradient_accumulators A Tensor of type float32.