Python Linear.state_dict示例

示例#1

def test_load_lazy_linear(dim1, dim2):
    lin1 = Linear(dim1, 32)
    lin2 = Linear(dim1, 32)
    lin2.load_state_dict(lin1.state_dict())

    if dim1 != -1:
        assert torch.allclose(lin1.weight, lin2.weight)
        assert torch.allclose(lin1.bias, lin2.bias)
        assert not hasattr(lin1, '_hook')
        assert not hasattr(lin2, '_hook')
    else:
        assert isinstance(lin1.weight, UninitializedParameter)
        assert isinstance(lin2.weight, UninitializedParameter)
        assert hasattr(lin1, '_hook')
        assert hasattr(lin2, '_hook')

示例#2

文件： test_linear.py 项目： rusty1s/pytorch_geometric

def test_load_lazy_linear(dim1, dim2):
    lin1 = Linear(dim1, 32)
    lin2 = Linear(dim1, 32)
    lin2.load_state_dict(lin1.state_dict())

    if dim1 != -1:
        assert torch.allclose(lin1.weight, lin2.weight)
        assert torch.allclose(lin1.bias, lin2.bias)
        assert not hasattr(lin1, '_hook')
        assert not hasattr(lin2, '_hook')
    else:
        assert isinstance(lin1.weight, UninitializedParameter)
        assert isinstance(lin2.weight, UninitializedParameter)
        assert hasattr(lin1, '_hook')
        assert hasattr(lin2, '_hook')

    with pytest.raises(RuntimeError, match="in state_dict"):
        lin1.load_state_dict({}, strict=True)
    lin1.load_state_dict({}, strict=False)