mirror of https://github.com/hpcaitech/ColossalAI
34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
from colossalai.tensor import ColoParameter, ColoTensor, ColoTensorSpec, ProcessGroup
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import torch
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import pytest
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from _utils import tensor_equal
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import colossalai
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from colossalai.utils import free_port
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@pytest.mark.skip
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def test_multiinheritance():
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colossalai.launch(config={}, rank=0, world_size=1, host='localhost', port=free_port(), backend='nccl')
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colo_param = ColoParameter(None, requires_grad=True)
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assert colo_param.dist_spec.placement.value == 'r'
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assert isinstance(colo_param, ColoTensor)
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assert isinstance(colo_param, torch.nn.Parameter)
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# __deepcopy__ overload
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import copy
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colo_param2 = copy.deepcopy(colo_param)
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assert isinstance(colo_param2, ColoParameter)
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assert tensor_equal(colo_param.data, colo_param2.data)
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assert colo_param.requires_grad == colo_param2.requires_grad
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# __repr__ overload
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assert 'ColoParameter' in str(colo_param)
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# __torch_function__
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clone_param = torch.clone(colo_param)
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assert isinstance(clone_param, ColoTensor)
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if __name__ == '__main__':
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test_multiinheritance()
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