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([[5, 0, -5], [-5, 3, 5]], dtype=torch.long)
    },
    'a':
    torch.as_tensor([[1, -1, -4, 6], [-5, 4, 4, -3], [-3, 9, 0, 7]],
                    dtype=torch.long)
})
t_shape = Size({'x': {'b': torch.Size([2, 3])}, 'a': torch.Size([3, 4])})
t_tensor = Tensor({
    'b':
    torch.as_tensor([[
        2.7768685817718506, 0.054838839918375015, 0.1352984607219696,
        -0.22349189221858978
    ],
                     [
                         2.123997449874878, 1.5941294431686401,
                         0.7950382232666016, 1.2931698560714722
                     ],
                     [
                         0.031070349738001823, 0.5278816819190979,
                         -0.33433640003204346, 1.41756272315979
                     ]],
                    dtype=torch.float32),
    'a':
    torch.as_tensor(
        [[0.40594789385795593, 0.5182123780250549, -0.6196643114089966],
         [-0.5015379786491394, 1.2789311408996582, -0.5570982694625854]],
        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