tf.compat.v1.executing_eagerly_outside_functions

Returns True if executing eagerly, even if inside a graph function.

tf.compat.v1.executing_eagerly_outside_functions() -> bool

This function will check the outermost context for the program and see if it is in eager mode. It is useful comparing to tf.executing_eagerly(), which checks the current context and will return False within a tf.function body. It can be used to build library that behave differently in eager runtime and v1 session runtime (deprecated).

Example:

tf.compat.v1.enable_eager_execution()
@tf.function
def func():
  # A function constructs TensorFlow graphs, it does not execute eagerly,
  # but the outer most context is still eager.
  assert not tf.executing_eagerly()
  return tf.compat.v1.executing_eagerly_outside_functions()
func()
<tf.Tensor: shape=(), dtype=bool, numpy=True>

boolean, whether the outermost context is in eager mode.