A transformation that parses Example
protos into a dict
of tensors. (deprecated)
tf.contrib.data.parse_example_dataset(
features, num_parallel_calls=1
)
Parses a number of serialized Example
protos given in serialized
. We refer
to serialized
as a batch with batch_size
many entries of individual
Example
protos.
This op parses serialized examples into a dictionary mapping keys to Tensor
and SparseTensor
objects. features
is a dict from keys to VarLenFeature
,
SparseFeature
, and FixedLenFeature
objects. Each VarLenFeature
and SparseFeature
is mapped to a SparseTensor
, and each
FixedLenFeature
is mapped to a Tensor
. See tf.io.parse_example
for more
details about feature dictionaries.
Args |
features
|
A dict mapping feature keys to FixedLenFeature ,
VarLenFeature , and SparseFeature values.
|
num_parallel_calls
|
(Optional.) A tf.int32 scalar tf.Tensor ,
representing the number of parsing processes to call in parallel.
|
Raises |
ValueError
|
if features argument is None.
|