wehub-resource-sync
70 lines
2.0 KiB
Python
70 lines
2.0 KiB
Python
# Copyright (c) Facebook, Inc. and its affiliates.
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#
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# This source code is licensed under the MIT license found in the
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# LICENSE file in the root directory of this source tree.
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import functools
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import sys
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import unittest
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import torch
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from fairseq import distributed_utils as dist_utils
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from .utils import objects_are_equal, spawn_and_init
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class TestDistributedUtils(unittest.TestCase):
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def setUp(self):
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if not torch.cuda.is_available():
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raise unittest.SkipTest("CUDA not available, skipping test")
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if sys.platform == "win32":
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raise unittest.SkipTest("NCCL doesn't support Windows, skipping test")
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if torch.cuda.device_count() < 2:
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raise unittest.SkipTest("distributed tests require 2+ GPUs, skipping")
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def test_broadcast_object_python(self):
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spawn_and_init(
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functools.partial(
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TestDistributedUtils._test_broadcast_object,
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"hello world",
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),
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world_size=2,
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)
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def test_broadcast_object_tensor(self):
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spawn_and_init(
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functools.partial(
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TestDistributedUtils._test_broadcast_object,
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torch.rand(5),
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),
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world_size=2,
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)
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def test_broadcast_object_complex(self):
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spawn_and_init(
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functools.partial(
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TestDistributedUtils._test_broadcast_object,
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{
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"a": "1",
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"b": [2, torch.rand(2, 3), 3],
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"c": (torch.rand(2, 3), 4),
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"d": {5, torch.rand(5)},
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"e": torch.rand(5),
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"f": torch.rand(5).int().cuda(),
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},
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),
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world_size=2,
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)
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@staticmethod
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def _test_broadcast_object(ref_obj, rank, group):
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obj = dist_utils.broadcast_object(
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ref_obj if rank == 0 else None, src_rank=0, group=group
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)
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assert objects_are_equal(ref_obj, obj)
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if __name__ == "__main__":
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unittest.main()
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