Create TPU outside compilation tests.

PiperOrigin-RevId: 314634663
Change-Id: Id15626d2521e318267f13bcf47fc19c0a3ec4464
This commit is contained in:
Ken Franko 2020-06-03 17:16:22 -07:00 committed by TensorFlower Gardener
parent e076930964
commit 1e3625b72f
2 changed files with 187 additions and 0 deletions

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@ -515,6 +515,23 @@ tf_py_test(
],
)
tpu_py_test(
name = "tpu_outside_compilation_test",
srcs = [
"tpu_outside_compilation_test.py",
],
disable_experimental = True,
python_version = "PY3",
tags = ["no_oss"],
deps = [
":tpu_lib",
"//tensorflow/python:variables",
"//tensorflow/python/distribute/cluster_resolver:cluster_resolver_lib",
"//tensorflow/python/eager:remote",
"//tensorflow/python/eager:test",
],
)
tf_proto_library(
name = "tensor_tracer_proto",
srcs = ["tensor_tracer.proto"],

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@ -0,0 +1,170 @@
# 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 TPU outside compilation."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
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.ops import logging_ops
from tensorflow.python.ops import variables
from tensorflow.python.platform import flags
from tensorflow.python.tpu import tpu
from tensorflow.python.tpu import tpu_strategy_util
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_strategy_util.initialize_tpu_system(resolver)
return tpu_lib.TPUStrategy(resolver)
class TpuOutsideCompilationTest(test.TestCase):
def testResourceVariableAssignOnHost(self):
strategy = get_tpu_strategy()
with strategy.scope():
v = variables.Variable(
0.0, aggregation=variables.VariableAggregation.MEAN)
v2 = variables.Variable(0.0, aggregation=variables.VariableAggregation.MEAN)
def assign_fn():
v2.assign_add(4.0)
@def_function.function
def train_step():
def assign_add():
v.assign_add(2.0)
tpu.outside_compilation(assign_fn)
v.assign_add(3.0)
strategy.run(assign_add)
return
train_step()
self.assertAllEqual(4.0 * strategy.num_replicas_in_sync, v2.numpy())
self.assertAllEqual(5.0, v.numpy())
def testHostInputOnly(self):
strategy = get_tpu_strategy()
def outside_fn(x):
logging_ops.print_v2("Outside compiled", x)
@def_function.function
def train_step():
def tpu_fn(x):
x2 = x + 5.0
tpu.outside_compilation(outside_fn, x2)
return x2 + 5.0
return strategy.run(tpu_fn, args=(25.0,))
self.assertAllEqual(
strategy.experimental_local_results(train_step()),
constant_op.constant(35., shape=(strategy.num_replicas_in_sync)))
def testHostInputOutput(self):
strategy = get_tpu_strategy()
def outside_fn(x):
logging_ops.print_v2("Outside compiled", x)
return x + 6.0
@def_function.function
def train_step():
def tpu_fn(x):
x2 = x + 5.0
output = tpu.outside_compilation(outside_fn, x2)
return output
return strategy.run(tpu_fn, args=(25.0,))
self.assertAllEqual(
strategy.experimental_local_results(train_step()),
constant_op.constant(36., shape=(strategy.num_replicas_in_sync)))
def testOutsideCompilationControlFlowIf(self):
strategy = get_tpu_strategy()
def outside_fn(x):
logging_ops.print_v2("Outside compiled", x)
return x + 6.0
@def_function.function
def train_step():
def tpu_fn(x):
x2 = x + 5.0
if x < 50.0:
return tpu.outside_compilation(outside_fn, x2)
else:
return x2
return strategy.run(tpu_fn, args=(25.0,))
self.assertAllEqual(
strategy.experimental_local_results(train_step()),
constant_op.constant(36., shape=(strategy.num_replicas_in_sync)))
def testOutsideCompilationControlFlowWhile(self):
strategy = get_tpu_strategy()
def outside_fn(x):
logging_ops.print_v2("Outside compiled", x)
return x + 6.0
@def_function.function
def train_step():
def tpu_fn(x):
x2 = x + 5.0
while x2 < 50.0:
x2 = tpu.outside_compilation(outside_fn, x2)
return x2 + 4.0
return strategy.run(tpu_fn, args=(25.0,))
self.assertAllEqual(
strategy.experimental_local_results(train_step()),
constant_op.constant(58., shape=(strategy.num_replicas_in_sync)))
if __name__ == "__main__":
test.main()