Load RMSProp embedding parameters.
tf.raw_ops.LoadTPUEmbeddingRMSPropParameters( parameters, ms, mom, 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. |
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. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/LoadTPUEmbeddingRMSPropParameters