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 ngraph_bridge.is_grappler_enabled()):
ngraph_bridge.set_disabled_ops(invalid_op_list)
a = tf.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, ))})
assert (self.without_ngraph(run_test) == np.ones(5, ) * 2).all()
#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
ngraph_bridge.set_disabled_ops('')
return
assert False, 'Had expected test to raise error'
def test_disable_op_1(self, op_list):
ngraph_bridge.set_disabled_ops(op_list)
assert ngraph_bridge.get_disabled_ops() == op_list.encode("utf-8")
# Running get_disabled_ops twice to see nothing has changed between 2 consecutive calls
assert ngraph_bridge.get_disabled_ops() == op_list.encode("utf-8")
# Clean up
ngraph_bridge.set_disabled_ops('')
def test_disable_3(self):
old_backend = ngraph_bridge.get_backend()
ngraph_bridge.set_backend('CPU')
N = 1
C = 4
H = 10
W = 10
FW = 3
FH = 3
O = 6
inp = tf.compat.v1.placeholder(tf.float32, shape=(N, C, H, W))
filt = tf.constant(np.ones((FH, FW, C, O)), dtype=tf.float32)
conv = nn_ops.conv2d(inp,
filt,
strides=[1, 1, 1, 2],
padding="SAME",
data_format='NCHW')
def run_test(sess):
return sess.run(conv, feed_dict={inp: np.ones((N, C, H, W))})
# Ensure that NCHW does not run on TF CPU backend natively
test_passed = True
try:
self.without_ngraph(run_test)
except:
test_passed = False
if (test_passed):
ngraph_bridge.set_backend(old_backend)
assert False, 'Had expected test to raise error, since NCHW in conv2d is not supported'
# We have asserted the above network would not run on TF natively.
# Now ensure it runs with ngraph
test_passed = True
try:
self.with_ngraph(run_test)
except:
test_passed = False
if (not test_passed):
ngraph_bridge.set_backend(old_backend)
assert False, 'Had expected test to pass, since NCHW in conv2d is supported through ngraph'
# Now disabling Conv2D. Expecting the test to fail, even when run through ngraph
ngraph_bridge.set_disabled_ops('Conv2D')
test_passed = True
try:
self.with_ngraph(run_test)
except:
test_passed = False
if (test_passed):
ngraph_bridge.set_backend(old_backend)
assert False, 'Had expected test to raise error, since conv2D is disabled in ngraph'
# Clean up
ngraph_bridge.set_backend(old_backend)
ngraph_bridge.set_disabled_ops('')
def test_disable_op_env(self):
op_list = 'Select,Where'
ngraph_bridge.set_disabled_ops(op_list)
assert ngraph_bridge.get_disabled_ops() == op_list.encode("utf-8")
env_map = self.store_env_variables('NGRAPH_TF_DISABLED_OPS')
env_list = 'Squeeze'
self.set_env_variable('NGRAPH_TF_DISABLED_OPS', env_list)
assert ngraph_bridge.get_disabled_ops() == env_list.encode("utf-8")
self.unset_env_variable('NGRAPH_TF_DISABLED_OPS')
self.restore_env_variables(env_map)
# Clean up
ngraph_bridge.set_disabled_ops('')
