tf.executing_eagerly
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Checks whether the current thread has eager execution enabled.
tf.executing_eagerly()
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.
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.
|
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Last updated 2023-10-06 UTC.
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