forked from horovod/horovod
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test_spark.py
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test_spark.py
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# Copyright 2018 Uber Technologies, Inc. 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.
# ==============================================================================
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import subprocess
import time
import torch
import traceback
import unittest
import warnings
import horovod.spark
import horovod.torch as hvd
class SparkTests(unittest.TestCase):
"""
Tests for horovod.spark.run().
"""
def __init__(self, *args, **kwargs):
super(SparkTests, self).__init__(*args, **kwargs)
warnings.simplefilter('module')
def run(self, result=None):
if os.environ.get('OMPI_COMM_WORLD_RANK', '0') != '0':
# Running in MPI as a rank > 0, ignore.
return
if 'Open MPI' not in str(subprocess.check_output('mpirun --version', shell=True)):
return
super(SparkTests, self).run(result)
def test_happy_run(self):
from pyspark import SparkConf
from pyspark.sql import SparkSession
conf = SparkConf().setAppName("test_happy_run").setMaster("local[2]")
spark = SparkSession \
.builder \
.config(conf=conf) \
.getOrCreate()
def fn():
hvd.init()
res = hvd.allgather(torch.tensor([hvd.rank()])).tolist()
return res, hvd.rank()
try:
res = horovod.spark.run(fn, env={'PATH': os.environ.get('PATH')})
self.assertListEqual([([0, 1], 0), ([0, 1], 1)], res)
finally:
spark.stop()
def test_timeout(self):
from pyspark import SparkConf
from pyspark.sql import SparkSession
conf = SparkConf().setAppName("test_happy_run").setMaster("local[2]")
spark = SparkSession \
.builder \
.config(conf=conf) \
.getOrCreate()
try:
horovod.spark.run(None, num_proc=4, start_timeout=5,
env={'PATH': os.environ.get('PATH')})
self.fail("Timeout expected")
except Exception as e:
print('Caught exception:')
traceback.print_exc()
self.assertIn("Timed out waiting for Spark tasks to start", str(e))
finally:
spark.stop()
def test_mpirun_not_found(self):
from pyspark import SparkConf
from pyspark.sql import SparkSession
conf = SparkConf().setAppName("test_happy_run").setMaster("local[2]")
spark = SparkSession \
.builder \
.config(conf=conf) \
.getOrCreate()
start = time.time()
try:
horovod.spark.run(None, env={'PATH': '/nonexistent'})
self.fail("Failure expected")
except Exception as e:
print('Caught exception:')
traceback.print_exc()
self.assertIn("mpirun exited with code", str(e))
self.assertLessEqual(time.time() - start, 10, "Failure propagation took too long")
finally:
spark.stop()