View source on GitHub
|
Parses a single Example proto.
tf.compat.v1.parse_single_example(
serialized, features, name=None, example_names=None
)
Similar to parse_example, except:
For dense tensors, the returned Tensor is identical to the output of
parse_example, except there is no batch dimension, the output shape is the
same as the shape given in dense_shape.
For SparseTensors, the first (batch) column of the indices matrix is removed
(the indices matrix is a column vector), the values vector is unchanged, and
the first (batch_size) entry of the shape vector is removed (it is now a
single element vector).
One might see performance advantages by batching Example protos with
parse_example instead of using this function directly.
Args | |
|---|---|
serialized
|
A scalar string Tensor, a single serialized Example. |
features
|
A dict mapping feature keys to FixedLenFeature or
VarLenFeature values.
|
name
|
A name for this operation (optional). |
example_names
|
(Optional) A scalar string Tensor, the associated name. |
Returns | |
|---|---|
A dict mapping feature keys to Tensor and SparseTensor values.
|
Raises | |
|---|---|
ValueError
|
if any feature is invalid. |