/TensorFlow 2.4


Retrieve FTRL embedding parameters with debug support.

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

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Code samples licensed under the Apache 2.0 License.