tf.raw_ops.LoadTPUEmbeddingAdagradMomentumParameters
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Load Adagrad Momentum embedding parameters.
tf.raw_ops.LoadTPUEmbeddingAdagradMomentumParameters(
parameters,
accumulators,
momenta,
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 Adagrad Momentum optimization algorithm.
|
accumulators
|
A Tensor of type float32.
Value of accumulators used in the Adagrad Momentum optimization algorithm.
|
momenta
|
A Tensor of type float32.
Value of momenta used in the Adagrad Momentum 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.
|
