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Looks up embeddings for the given ids
from a list of tensors.
tf.nn.embedding_lookup(
params, ids, max_norm=None, name=None
)
This function is used to perform parallel lookups on the list of tensors in
params
. It is a generalization of tf.gather
, where params
is
interpreted as a partitioning of a large embedding tensor.
If len(params) > 1
, each element id
of ids
is partitioned between the
elements of params
according to the "div" partition strategy, which means we
assign ids to partitions in a contiguous manner. For instance, 13 ids are
split across 5 partitions as:
[[0, 1, 2], [3, 4, 5], [6, 7, 8], [9, 10], [11, 12]]
.
If the id space does not evenly divide the number of partitions, each of the
first (max_id + 1) % len(params)
partitions will be assigned one more id.
The results of the lookup are concatenated into a dense
tensor. The returned tensor has shape shape(ids) + shape(params)[1:]
.
Returns  

A Tensor with the same type as the tensors in params .
For instance, if
or a list of matrices:
and
The output will be a 3x2 matrix:

Raises  

ValueError

If params is empty.
