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 | |
|---|---|
 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 | |
|---|---|
 A list of num_outputs Tensor objects with type float32.  |  
    © 2020 The TensorFlow Authors. All rights reserved.
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/RecvTPUEmbeddingActivations