def test_sharedconst1(self):
# The const in this case is shared between Pad1 and Pad2
# separated by Abs which is not encapsulated. The Pad op
# is different in the sense that the shared const is a
# static input to it and is not used by the op directly
# but is used to create 2 new Consts.
openvino_tensorflow.set_disabled_ops('Abs')
input_data1 = tf.compat.v1.placeholder(tf.float32, shape=(2, 3))
paddings = tf.compat.v1.constant([[2, 1], [2, 2]])
pad1 = tf.pad(input_data1, paddings)
abs2 = tf.abs(pad1)
pad2 = tf.pad(abs2, paddings)
inp = ((4, 2, 4), (4, 4, 1))
pad = ((5, 3), (5, 5))
def run_test(sess):
return sess.run(pad2, feed_dict={input_data1: inp})
if not (self.with_ngraph(run_test) == self.without_ngraph(run_test)
).all():
raise AssertionError
# Clean up
openvino_tensorflow.set_disabled_ops('')
def test_disable_op_2(self, invalid_op_list):
# This test is disabled for grappler because grappler fails silently and
# TF continues to run with the unoptimized graph
# Note, tried setting fail_on_optimizer_errors, but grappler still failed silently
# TODO: enable this test for grappler as well.
if (not openvino_tensorflow.is_grappler_enabled()):
openvino_tensorflow.set_disabled_ops(invalid_op_list)
a = tf.compat.v1.placeholder(tf.int32, shape=(5,))
b = tf.constant(np.ones((5,)), dtype=tf.int32)
c = a + b
def run_test(sess):
return sess.run(c, feed_dict={a: np.ones((5,))})
if not (self.without_ngraph(run_test) == np.ones(5,) * 2).all():
raise AssertionError
#import pdb; pdb.set_trace()
try:
# This test is expected to fail,
# since all the strings passed to set_disabled_ops have invalid ops in them
res = self.with_ngraph(run_test)
except:
# Clean up
openvino_tensorflow.set_disabled_ops('')
return
if not False:
raise AssertionError('Had expected test to raise error')
def test_disable_op_1(self, op_list):
openvino_tensorflow.set_disabled_ops(op_list)
if not openvino_tensorflow.get_disabled_ops() == op_list.encode(
"utf-8"):
raise AssertionError
# Running get_disabled_ops twice to see nothing has changed between 2 consecutive calls
if not openvino_tensorflow.get_disabled_ops() == op_list.encode(
"utf-8"):
raise AssertionError
# Clean up
openvino_tensorflow.set_disabled_ops('')
def test_disable_op_env(self):
op_list = 'Select,Where'
openvino_tensorflow.set_disabled_ops(op_list)
if not openvino_tensorflow.get_disabled_ops() == op_list.encode(
"utf-8"):
raise AssertionError
env_map = self.store_env_variables('OPENVINO_TF_DISABLED_OPS')
env_list = 'Squeeze'
self.set_env_variable('OPENVINO_TF_DISABLED_OPS', env_list)
if not openvino_tensorflow.get_disabled_ops() == env_list.encode(
"utf-8"):
raise AssertionError
self.unset_env_variable('OPENVINO_TF_DISABLED_OPS')
self.restore_env_variables(env_map)
# Clean up
openvino_tensorflow.set_disabled_ops('')