tf.raw_ops.RetrieveTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug

Retrieve SGD embedding parameters with debug support.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.RetrieveTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug

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.

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, gradient_accumulators).
parameters	A Tensor of type float32.
gradient_accumulators	A Tensor of type float32.