def g():
return tf.func_capture(lambda: x)
def f():
cx = tf.func_capture(lambda: x)
# Adding `b = tf.func_capture(lambda: x)` will generate two captures
return cx + cx # should capture x just once.
def f():
cglob = tf.func_capture(lambda: glob)
return cglob[-1] + tf.constant(0)
def f():
cd = tf.func_capture(lambda: d)
return cd["val"]
def tf_g():
cx = tf.func_capture(lambda: x)
return cx