tf.io.encode

TensorFlow 1 version

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Configuration for parsing a fixed-length input feature.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.FixedLenFeature, tf.compat.v1.io.FixedLenFeature

tf.io.FixedLenFeature(
    shape, dtype, default_value=None
)

Used in the notebooks

Used in the guide	Used in the tutorials
tf.data: Build TensorFlow input pipelines	TFRecord and tf.train.Example Fine-tuning a BERT model Graph regularization for document classification using natural graphs FaceSSD Fairness Indicators Example Colab Wiki Talk Comments Toxicity Prediction

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`
`dtype`
`default_value`

TensorFlow

tf

tf.audio

tf.autograph

tf.bitwise

tf.compat

tf.config

tf.data

tf.debugging

tf.distribute

tf.dtypes

tf.errors

tf.estimator

tf.experimental

tf.feature_column

tf.graph_util

tf.image

tf.initializers

tf.io

tf.keras

tf.linalg

tf.lite

tf.lookup

tf.losses

tf.math

tf.metrics

tf.nest

tf.nn

tf.optimizers

tf.quantization

tf.queue

tf.ragged

tf.random

tf.raw_ops

tf.saved_model

tf.sets

tf.signal

tf.sparse

tf.strings

tf.summary

tf.sysconfig

tf.test

tf.tpu

tf.train

tf.version

tf.xla

tf.io / encode_proto

View aliases

Used in the notebooks

Fields:

Attributes