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({
    'a':
    torch.as_tensor([[8, 6, 4, 4], [4, 5, 9, -1], [4, -5, 6, -1]],
                    dtype=torch.long),
    'x': {
        'b': torch.as_tensor([[-2, -1, 7], [5, 6, 4]], dtype=torch.long)
    }
})
t_shape = Size({'a': torch.Size([3, 4]), 'x': {'b': torch.Size([2, 3])}})
t_tensor = Tensor({
    'a':
    torch.as_tensor(
        [[0.38337624073028564, 1.7304457426071167, 0.08502542972564697],
         [-0.4015350341796875, 0.6952739953994751, -0.827825129032135]],
        dtype=torch.float32),
    'b':
    torch.as_tensor([[
        0.6358466148376465, -1.2224129438400269, 0.8938352465629578,
        -1.4846575260162354
    ],
                     [
                         -0.007553907111287117, -1.3188650608062744,
                         -1.1571229696273804, -1.2482050657272339
                     ],
                     [
                         1.3722939491271973, -0.8350231051445007,
                         0.6051339507102966, 0.8400365114212036
                     ]],
                    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