Plugins

Potc support

Potc is a package that can convert any object into executable source code. For DI-treetensor, potc can support the source code transformation of treevalue objects through the installation of additional plugins. So we can execute the following installation command

pip install DI-treetensor[potc]

After this installation, you will be able to directly convert tree-nested tensors to objects without any additional operations. Such as

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from potc import transvars

import treetensor.torch as ttorch

t_tensor = ttorch.randn({'a': (2, 3), 'b': (3, 4)})
t_i_tensor = ttorch.randint(-5, 10, {'a': (3, 4), 'x': {'b': (2, 3)}})
t_shape = t_i_tensor.shape

if __name__ == '__main__':
    _code = transvars(
        {
            't_tensor': t_tensor,
            't_i_tensor': t_i_tensor,
            't_shape': t_shape,
        },
        reformat='pep8'
    )
    print(_code)

The output should be

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import torch
from treetensor import Tensor
from treetensor.torch import Size

__all__ = ['t_i_tensor', 't_shape', 't_tensor']
t_i_tensor = Tensor({
    'x': {
        'b': torch.as_tensor([[4, -1, -4], [4, -4, 6]], dtype=torch.long)
    },
    'a':
    torch.as_tensor([[8, 8, 0, -4], [-1, 2, 4, -3], [-3, 4, 6, 3]],
                    dtype=torch.long)
})
t_shape = Size({'x': {'b': torch.Size([2, 3])}, 'a': torch.Size([3, 4])})
t_tensor = Tensor({
    'b':
    torch.as_tensor([[
        1.0281672477722168, -0.28909146785736084, 0.03089205175638199,
        0.021677663549780846
    ],
                     [
                         -0.8813137412071228, 0.9641970992088318,
                         0.5909661650657654, -2.0919501781463623
                     ],
                     [
                         -0.6806566119194031, 0.8086162805557251,
                         -0.5873246788978577, 0.9544810652732849
                     ]],
                    dtype=torch.float32),
    'a':
    torch.as_tensor(
        [[-1.0674800872802734, -1.084632396697998, -0.5296338796615601],
         [-1.1992542743682861, -1.3199646472930908, 0.7287644147872925]],
        dtype=torch.float32)
})

Also, you can use the following CLI command to get the same output results as above.

potc export -v 'test_simple.t_*'

For further information, you can refer to