tf.raw_ops.EnqueueTPUEmbeddingIntegerBatch
An op that enqueues a list of input batch tensors to TPUEmbedding.
tf.raw_ops.EnqueueTPUEmbeddingIntegerBatch(
batch, mode_override, device_ordinal=-1, name=None
)
| Args | |
|---|---|
batch |
A list of at least 1 Tensor objects with type int32. A list of 1D tensors, one for each embedding table, containing the indices into the tables. |
mode_override |
A Tensor of type string. A string input that overrides the mode specified in the TPUEmbeddingConfiguration. Supported values are {'unspecified', 'inference', 'training', 'backward_pass_only'}. When set to 'unspecified', the mode set in TPUEmbeddingConfiguration is used, otherwise mode_override is used. |
device_ordinal |
An optional int. Defaults to -1. The TPU device to use. Should be >= 0 and less than the number of TPU cores in the task on which the node is placed. |
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/EnqueueTPUEmbeddingIntegerBatch