tf.compat.v1.executing_eagerly  |  TensorFlow v2.16.1 (original) (raw)

tf.compat.v1.executing_eagerly

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Checks whether the current thread has eager execution enabled.

tf.compat.v1.executing_eagerly()

Eager execution is typically enabled viatf.compat.v1.enable_eager_execution, but may also be enabled within the context of a Python function via tf.contrib.eager.py_func.

When eager execution is enabled, returns True in most cases. However, this API might return False in the following use cases.

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

tf.compat.v1.enable_eager_execution()

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.functionafter 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

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Last updated 2024-04-26 UTC.