experiments/STT-tensorflow
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Make compilation error check generic.

Browse Source 
TF2XLA and MLIR bridge return different error types when compilation fails. Makes the check more generic.  Also renames experimental_run -> run in test names.

PiperOrigin-RevId: 337935812
Change-Id: I453f79ddda4ae9f2a184936683e70969fb7ffedd
This commit is contained in:
Ken Franko 2020-10-19 14:34:59 -07:00 committed by TensorFlower Gardener
parent 209ede00c5
commit f0bfa71e14
1 changed files with 3 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

7
tensorflow/python/distribute/tpu_strategy_test.py
View File

@ -179,7 +179,7 @@ class TPUStrategyTest(test.TestCase, parameterized.TestCase):
with ops.device("/device:TPU:0"):
self.assertAllEqual(func(), 2.0)
def test_sequential_experimental_runs(self, enable_packed_var):
def test_sequential_runs(self, enable_packed_var):
resolver = get_tpu_cluster_resolver()
remote.connect_to_cluster(resolver)
topology = tpu_strategy_util.initialize_tpu_system(resolver)
@ -254,8 +254,7 @@ class TPUStrategyTest(test.TestCase, parameterized.TestCase):
return strategy.run(computation)
with self.assertRaisesRegex(errors.InvalidArgumentError,
"TPU compilation failed"):
with self.assertRaises(errors.OpError):
compilation_failure_run()
@def_function.function
@ -476,7 +475,7 @@ class TPUStrategyTest(test.TestCase, parameterized.TestCase):
self.assertAllEqual(expected_result, run(input_iterator))
self.assertAllEqual((0.,), w.read_value())
def test_experimental_run_output_on_device(self, enable_packed_var):
def test_run_output_on_device(self, enable_packed_var):
strategy = get_tpu_strategy(enable_packed_var)
def computation(x):