tf.compat.v1.linalg.l2

TensorFlow 1 version

Public API for tf.lite namespace.

Modules

constants module: Public API for tf.lite.constants namespace.

experimental module: Public API for tf.lite.experimental namespace.

Classes

class Interpreter: Interpreter interface for TensorFlow Lite Models.

class OpHint: A class that helps build tflite function invocations.

class OpsSet: Enum class defining the sets of ops available to generate TFLite models.

class Optimize: Enum defining the optimizations to apply when generating tflite graphs.

class RepresentativeDataset: Representative dataset to evaluate optimizations.

class TFLiteConverter: Convert a TensorFlow model into output_format.

class TargetSpec: Specification of target device.

class TocoConverter: Convert a TensorFlow model into output_format using TOCO.

Functions

toco_convert(...): Convert a model using TOCO. (deprecated)

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.compat / v1 / v1.linalg.l2_normalize

Modules

Classes

Functions