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tf.raw_ops.LoadTPUEmbeddingAdagradParametersGradAccumDebug

Load Adagrad embedding parameters with debug support.

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 Adagrad optimization algorithm.
accumulators A Tensor of type float32. Value of accumulators used in the Adagrad optimization algorithm.
gradient_accumulators A Tensor of type float32. Value of gradient_accumulators used in the Adagrad 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.

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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/LoadTPUEmbeddingAdagradParametersGradAccumDebug