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([[6, -5, 0, 7], [-1, 4, 9, 9], [7, -3, 0, -5]],
                    dtype=torch.long),
    'x': {
        'b': torch.as_tensor([[1, 1, 3], [1, 8, 0]], dtype=torch.long)
    }
})
t_shape = Size({'a': torch.Size([3, 4]), 'x': {'b': torch.Size([2, 3])}})
t_tensor = Tensor({
    'a':
    torch.as_tensor(
        [[-0.7283960580825806, -1.1181594133377075, -0.39858317375183105],
         [-0.44914159178733826, -0.6912498474121094, 1.0196959972381592]],
        dtype=torch.float32),
    'b':
    torch.as_tensor([[
        0.7337965965270996, -0.33806368708610535, -1.2548998594284058,
        0.12338656932115555
    ],
                     [
                         1.2900900840759277, -0.22137492895126343,
                         -2.83416748046875, 0.9930022358894348
                     ],
                     [
                         -1.5423628091812134, 0.1453082412481308,
                         0.52750563621521, -0.2628335654735565
                     ]],
                    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