tf.raw_ops.LoadTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug

Load SGD embedding parameters.

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Compat aliases for migration

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tf.compat.v1.raw_ops.LoadTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug

tf.raw_ops.LoadTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug(
    parameters, 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 stochastic gradient descent optimization algorithm.
gradient_accumulators	A Tensor of type float32. Value of gradient_accumulators used in the Adadelta 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.