# tf.parse_single_example

tf.parse_single_example(
serialized,
features,
name=None,
example_names=None
)


See the guide: Inputs and Readers > Converting

Parses a single Example proto.

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. See _parse_single_example_raw documentation for more details.
• 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. See _parse_single_example_raw documentation for more details.

#### Returns:

A dict mapping feature keys to Tensor and SparseTensor values.

#### Raises:

• ValueError: if any feature is invalid.