blob: defc9c2db88a7dba170bc60b15fd93d8d62be6cc [file] [log] [blame]
# Copyright 2020 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Tests for TPUStrategy in regards to compiling programs."""
from tensorflow.python.distribute import tpu_strategy as tpu_lib
from tensorflow.python.distribute.cluster_resolver import tpu_cluster_resolver
from tensorflow.python.eager import def_function
from tensorflow.python.eager import remote
from tensorflow.python.eager import test
from tensorflow.python.framework import constant_op
from tensorflow.python.platform import flags
FLAGS = flags.FLAGS
flags.DEFINE_string("tpu", "", "Name of TPU to connect to.")
flags.DEFINE_string("project", None, "Name of GCP project with TPU.")
flags.DEFINE_string("zone", None, "Name of GCP zone with TPU.")
def get_tpu_cluster_resolver():
resolver = tpu_cluster_resolver.TPUClusterResolver(
tpu=FLAGS.tpu,
zone=FLAGS.zone,
project=FLAGS.project,
)
return resolver
def get_tpu_strategy():
resolver = get_tpu_cluster_resolver()
remote.connect_to_cluster(resolver)
tpu_cluster_resolver.initialize_tpu_system(resolver)
strategy = tpu_lib.TPUStrategyV2(resolver)
return strategy
# TODO(b/158494076): Merge this test back into TPUStrategy tests
# (tpu_strategy_test) once MLIR bridge is enabled by default.
class TPUStrategyCompilationTest(test.TestCase):
def test_functions_compile_same_signature(self):
"""Tests compiling different functions with the same signature."""
strategy = get_tpu_strategy()
@def_function.function
def return_one():
def computation():
return constant_op.constant(1)
return strategy.run(computation)
@def_function.function
def return_two():
def computation():
return constant_op.constant(2)
return strategy.run(computation)
expected_result_ones = [1 for _ in range(0, strategy.num_replicas_in_sync)]
self.assertAllEqual(expected_result_ones,
strategy.experimental_local_results(return_one()))
expected_result_twos = [2 for _ in range(0, strategy.num_replicas_in_sync)]
self.assertAllEqual(expected_result_twos,
strategy.experimental_local_results(return_two()))
if __name__ == "__main__":
test.main()