tf.io.FixedLenFeature
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Configuration for parsing a fixed-length input feature.
tf.io.FixedLenFeature(
shape, dtype, default_value=None
)
Used in the notebooks
Used in the guide |
Used in the tutorials |
|
|
To treat sparse input as dense, provide a default_value
; otherwise,
the parse functions will fail on any examples missing this feature.
Fields |
shape
|
Shape of input data.
|
dtype
|
Data type of input.
|
default_value
|
Value to be used if an example is missing this feature. It
must be compatible with dtype and of the specified shape .
|
Attributes |
shape
|
A namedtuple alias for field number 0
|
dtype
|
A namedtuple alias for field number 1
|
default_value
|
A namedtuple alias for field number 2
|
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Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tf.io.FixedLenFeature\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.16.1/tensorflow/python/ops/parsing_config.py#L298-L315) |\n\nConfiguration for parsing a fixed-length input feature.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.FixedLenFeature`](https://www.tensorflow.org/api_docs/python/tf/io/FixedLenFeature), [`tf.compat.v1.io.FixedLenFeature`](https://www.tensorflow.org/api_docs/python/tf/io/FixedLenFeature)\n\n\u003cbr /\u003e\n\n tf.io.FixedLenFeature(\n shape, dtype, default_value=None\n )\n\n### Used in the notebooks\n\n| Used in the guide | Used in the tutorials |\n|--------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| - [tf.data: Build TensorFlow input pipelines](https://www.tensorflow.org/guide/data) | - [TFRecord and tf.train.Example](https://www.tensorflow.org/tutorials/load_data/tfrecord) - [](https://www.tensorflow.org/tfx/transform/get_started) - [Recommending movies: retrieval using a sequential model](https://www.tensorflow.org/recommenders/examples/sequential_retrieval) - [Graph regularization for document classification using natural graphs](https://www.tensorflow.org/neural_structured_learning/tutorials/graph_keras_mlp_cora) - [Passage Ranking using TFR-BERT](https://www.tensorflow.org/ranking/tutorials/tfr_bert) |\n\nTo treat sparse input as dense, provide a `default_value`; otherwise,\nthe parse functions will fail on any examples missing this feature.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Fields ------ ||\n|-----------------|--------------------------------------------------------------------------------------------------------------------------|\n| `shape` | Shape of input data. |\n| `dtype` | Data type of input. |\n| `default_value` | Value to be used if an example is missing this feature. It must be compatible with `dtype` and of the specified `shape`. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Attributes ---------- ||\n|-----------------|-----------------------------------------|\n| `shape` | A `namedtuple` alias for field number 0 |\n| `dtype` | A `namedtuple` alias for field number 1 |\n| `default_value` | A `namedtuple` alias for field number 2 |\n\n\u003cbr /\u003e"]]