TensorFlow 1 version
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View source on GitHub
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Parses a single Example proto.
tf.io.parse_single_example(
serialized, features, example_names=None, name=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 | |
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serialized
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A scalar string Tensor, a single serialized Example.
See _parse_single_example_raw documentation for more details.
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features
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A dict mapping feature keys to FixedLenFeature or
VarLenFeature values.
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example_names
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(Optional) A scalar string Tensor, the associated name.
See _parse_single_example_raw documentation for more details.
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name
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A name for this operation (optional). |
Returns | |
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A dict mapping feature keys to Tensor and SparseTensor values.
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Raises | |
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ValueError
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if any feature is invalid. |