tf.raw_ops.LoadTPUEmbeddingRMSPropParametersGradAccumDebug

Load RMSProp embedding parameters with debug support.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.LoadTPUEmbeddingRMSPropParametersGradAccumDebug

tf.raw_ops.LoadTPUEmbeddingRMSPropParametersGradAccumDebug(
    parameters, ms, mom, gradient_accumulators, 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 RMSProp optimization algorithm.
ms	A Tensor of type float32. Value of ms used in the RMSProp optimization algorithm.
mom	A Tensor of type float32. Value of mom used in the RMSProp optimization algorithm.
gradient_accumulators	A Tensor of type float32. Value of gradient_accumulators used in the RMSProp 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.