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https://github.com/zebrajr/pytorch.git
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84b58bd63e
**Motivation:** Enable FSDP tests on XPU device Pull Request resolved: https://github.com/pytorch/pytorch/pull/147518 Approved by: https://github.com/weifengpy
68 lines
2.0 KiB
Python
68 lines
2.0 KiB
Python
# Owner(s): ["oncall: distributed"]
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import sys
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import torch
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from torch import distributed as dist
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from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
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from torch.testing._internal.common_device_type import instantiate_device_type_tests
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from torch.testing._internal.common_distributed import skip_if_lt_x_gpu
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from torch.testing._internal.common_fsdp import (
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DEVICEInitMode,
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FSDPInitMode,
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FSDPTest,
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NestedWrappedModule,
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)
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from torch.testing._internal.common_utils import run_tests, TEST_WITH_DEV_DBG_ASAN
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if not dist.is_available():
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print("Distributed not available, skipping tests", file=sys.stderr)
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sys.exit(0)
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if TEST_WITH_DEV_DBG_ASAN:
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print(
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"Skip dev-asan as torch + multiprocessing spawn have known issues",
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file=sys.stderr,
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)
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sys.exit(0)
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class TestTraversal(FSDPTest):
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@property
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def world_size(self):
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if torch.cuda.is_available():
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gpu_cnt = torch.cuda.device_count()
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if gpu_cnt < 2:
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return gpu_cnt
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return 2
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@skip_if_lt_x_gpu(2)
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def test_fsdp_modules(self):
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nested_wrapped_module = NestedWrappedModule.init(
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self.process_group,
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FSDPInitMode.RECURSIVE,
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DEVICEInitMode.DEVICE_BEFORE,
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)
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modules = FSDP.fsdp_modules(nested_wrapped_module)
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self.assertEqual(
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modules,
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[
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nested_wrapped_module.module.get_submodule("1"),
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nested_wrapped_module.module.get_submodule("1").get_submodule("0"),
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nested_wrapped_module.module.get_submodule("2"),
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],
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)
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modules = FSDP.fsdp_modules(nested_wrapped_module, root_only=True)
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self.assertEqual(
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modules,
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[
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nested_wrapped_module.module.get_submodule("1"),
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nested_wrapped_module.module.get_submodule("2"),
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],
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)
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devices = ("cuda", "hpu", "xpu")
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instantiate_device_type_tests(TestTraversal, globals(), only_for=devices)
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if __name__ == "__main__":
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run_tests()
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