tf.io.FixedLenSequenceFeature | TensorFlow v2.16.1 (original) (raw)
tf.io.FixedLenSequenceFeature
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Configuration for parsing a variable-length input feature into a Tensor.
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Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.FixedLenSequenceFeature, tf.compat.v1.io.FixedLenSequenceFeature
tf.io.FixedLenSequenceFeature(
shape, dtype, allow_missing=False, default_value=None
)
The resulting Tensor of parsing a single SequenceExample or Example has a static shape of [None] + shape and the specified dtype. The resulting Tensor of parsing a batch_size many Examples has a static shape of [batch_size, None] + shape and the specified dtype. The entries in the batch from different Examples will be padded withdefault_value to the maximum length present in the batch.
To treat a sparse input as dense, provide allow_missing=True; otherwise, the parse functions will fail on any examples missing this feature.
| Fields | |
|---|---|
| shape | Shape of input data for dimension 2 and higher. First dimension is of variable length None. |
| dtype | Data type of input. |
| allow_missing | Whether to allow this feature to be missing from a feature list item. Is available only for parsing SequenceExample not for parsing Examples. |
| default_value | Scalar value to be used to pad multiple Examples to their maximum length. Irrelevant for parsing a single Example orSequenceExample. Defaults to "" for dtype string and 0 otherwise (optional). |
| Attributes | |
|---|---|
| shape | A namedtuple alias for field number 0 |
| dtype | A namedtuple alias for field number 1 |
| allow_missing | A namedtuple alias for field number 2 |
| default_value | A namedtuple alias for field number 3 |