8000 Add ChainerX test to `test_allreduce_persistent.py` by keisukefukuda · Pull Request #8412 · chainer/chainer · GitHub
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Add ChainerX test to test_allreduce_persistent.py #8412

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Merged
merged 7 commits into from
Dec 2, 2019
Merged

Add ChainerX test to test_allreduce_persistent.py #8412

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30fed61
Fix
keisukefukuda Nov 12, 2019
e567eb4
use chainermn.testing.get_device()
keisukefukuda Nov 13, 2019
5b59310
fix pep8
keisukefukuda Nov 13, 2019
22177ce
Use CuPy's Device class to call cudaSetDevice
keisukefukuda Nov 14, 2019
5fc8d35
use get_device_from_id instead of chainermn.testing.get_device
keisukefukuda Nov 15, 2019
f7d333d
Add comment
keisukefukuda Nov 15, 2019
fedc441
remove unnecessary device.use()
keisukefukuda Nov 29, 2019
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22 changes: 14 additions & 8 deletions tests/chainermn_tests/extensions_tests/test_allreduce_persistent.py
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Original file line number Diff line number Diff line change
@@ -1,10 +1,10 @@
import chainer
from chainer.backends.cuda import cupy
import chainer.testing
import chainer.testing.attr
import unittest

import chainermn
from chainermn.testing.device import get_device


class ExampleModel(chainer.Chain):
Expand All @@ -20,7 +20,14 @@ def __init__(self, n_in=3, n_units=5, n_out=2):

class TestAllreducePersistent(unittest.TestCase):

def _test(self, comm, model):
def _test(self, comm, model, use_gpu, use_chx):
if use_gpu:
# Use CuPy's Device class to force call cudaSetDevice()
chainer.cuda.get_device_from_id(comm.intra_rank).use()

device = get_device(comm.intra_rank if use_gpu else None, use_chx)
model.to_device(device)

rank = comm.rank
model.bn1.avg_mean.fill(rank * 1)
model.bn2.avg_mean.fill(rank * 2)
Expand All @@ -39,14 +46,13 @@ def _test(self, comm, model):

def test_allreduce_persistent_cpu(self):
comm = chainermn.create_communicator('naive')
self._test(comm, ExampleModel())
model = ExampleModel()
self._test(comm, model, False, False) # CPU test (numpy)
self._test(comm, model, False, True) # CPU test (ChainerX)

@chainer.testing.attr.gpu
def test_allreduce_persistent_gpu(self):
comm = chainermn.create_communicator('flat')
device = comm.intra_rank
chainer.cuda.get_device_from_id(device).use()

model = ExampleModel()
model.to_device(cupy.cuda.Device(device))
self._test(comm, model)
self._test(comm, model, True, False) # GPU test (CuPy)
self._test(comm, model, True, True) # GPU test (ChainerX)
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