tf.compat.v1.parse_single_example | TensorFlow v2.16.1 (original) (raw)
tf.compat.v1.parse_single_example
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Parses a single Example proto.
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Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.io.parse_single_example
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 ofparse_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 withparse_example instead of using this function directly.
| Args | |
|---|---|
| serialized | A scalar string Tensor, a single serialized Example. |
| features | A mapping of feature keys to FixedLenFeature orVarLenFeature 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. |