tf.executing

Checks whether the current thread has eager execution enabled.

tf.executing_eagerly()

Used in the notebooks

Used in the guide	Used in the tutorials
Eager execution	Custom training: walkthrough Text classification with TensorFlow Hub: Movie reviews Credit Card Interest Fast Style Transfer for Arbitrary Styles Text Classification with Movie Reviews

Eager execution is enabled by default and this API returns True in most of cases. However, this API might return False in the following use cases.

Executing inside tf.function, unless under tf.init_scope or tf.config.run_functions_eagerly(True) is previously called.
Executing inside a transformation function for tf.dataset.
tf.compat.v1.disable_eager_execution() is called.

General case:

print(tf.executing_eagerly())
True

Inside tf.function:

@tf.function
def fn():
  with tf.init_scope():
    print(tf.executing_eagerly())
  print(tf.executing_eagerly())
fn()
True
False

Inside tf.function after tf.config.run_functions_eagerly(True) is called:

tf.config.run_functions_eagerly(True)
@tf.function
def fn():
  with tf.init_scope():
    print(tf.executing_eagerly())
  print(tf.executing_eagerly())
fn()
True
True
tf.config.run_functions_eagerly(False)

Inside a transformation function for tf.dataset:

def data_fn(x):
  print(tf.executing_eagerly())
  return x
dataset = tf.data.Dataset.range(100)
dataset = dataset.map(data_fn)
False

Returns
`True` if the current thread has eager execution enabled.

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 / executing_eagerly

Used in the notebooks

General case:

Returns