tf.io.parse_single_example

TensorFlow 1 version View source on GitHub

Parses a single Example proto.

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

Used in the tutorials:

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.
  • example_names: (Optional) A scalar string Tensor, the associated name.
  • name: A name for this operation (optional).

Returns:

A dict mapping feature keys to Tensor and SparseTensor values.

Raises:

  • ValueError: if any feature is invalid.

Compat aliases