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([[5, 0, 6, 7], [3, 5, -5, -5], [1, 2, 9, 4]],
                    dtype=torch.long),
    'x': {
        'b': torch.as_tensor([[-4, 8, 8], [-4, 9, -5]], dtype=torch.long)
    }
})
t_shape = Size({'a': torch.Size([3, 4]), 'x': {'b': torch.Size([2, 3])}})
t_tensor = Tensor({
    'a':
    torch.as_tensor(
        [[1.0884815454483032, 1.1385016441345215, 0.29884859919548035],
         [-0.20478612184524536, -1.4196021556854248, -0.04051636531949043]],
        dtype=torch.float32),
    'b':
    torch.as_tensor([[
        2.595019578933716, 0.6456472277641296, 1.2577778100967407,
        2.0272738933563232
    ],
                     [
                         1.150585412979126, 1.185786485671997,
                         -1.8594878911972046, 0.02676238678395748
                     ],
                     [
                         2.1013214588165283, -1.028666377067566,
                         0.758303701877594, -0.3191949725151062
                     ]],
                    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