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([[2, 6, -2], [-1, 1, 0]], dtype=torch.long)
    },
    'a':
    torch.as_tensor([[8, -5, -5, -1], [6, 3, 4, 4], [-2, 9, -3, 6]],
                    dtype=torch.long)
})
t_shape = Size({'x': {'b': torch.Size([2, 3])}, 'a': torch.Size([3, 4])})
t_tensor = Tensor({
    'a':
    torch.as_tensor(
        [[0.25546881556510925, 1.5697441101074219, 0.6671493649482727],
         [0.29678308963775635, 0.5242627859115601, 0.8216266632080078]],
        dtype=torch.float32),
    'b':
    torch.as_tensor([[
        1.484199047088623, 0.22663825750350952, 1.7510405778884888,
        -0.40903058648109436
    ],
                     [
                         -0.6381224393844604, 1.3796913623809814,
                         0.6873614192008972, 0.07700836658477783
                     ],
                     [
                         -0.02083461917936802, -0.9499525427818298,
                         0.4672611653804779, 0.04375791922211647
                     ]],
                    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