tf.raw_ops.RecvTPUEmbeddingActivations
An op that receives embedding activations on the TPU.
tf.raw_ops.RecvTPUEmbeddingActivations( num_outputs, config, name=None )
The TPU system performs the embedding lookups and aggregations specified by the arguments to TPUEmbeddingEnqueue(Integer/Sparse/SparseTensor)Batch. The results of these aggregations are visible to the Tensorflow Graph as the outputs of a RecvTPUEmbeddingActivations op. This op returns a list containing one Tensor of activations per table specified in the model. There can be at most one RecvTPUEmbeddingActivations op in the TPU graph.
Args | |
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num_outputs | An int that is >= 1 . The number of output activation tensors, equal to the number of embedding tables in the model. |
config | A string . Serialized TPUEmbeddingConfiguration proto. |
name | A name for the operation (optional). |
Returns | |
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A list of num_outputs Tensor objects with type float32 . |
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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/r2.4/api_docs/python/tf/raw_ops/RecvTPUEmbeddingActivations