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
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | 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
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | 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([[6, -2, 7], [-2, 5, -5]], dtype=torch.long) }, 'a': torch.as_tensor([[-4, 0, 6, 8], [-4, -5, 5, 1], [-4, -3, 2, -3]], dtype=torch.long) }) t_shape = Size({'x': {'b': torch.Size([2, 3])}, 'a': torch.Size([3, 4])}) t_tensor = Tensor({ 'b': torch.as_tensor([[ 0.12742969393730164, -0.10745829343795776, -0.0321677029132843, -0.6664458513259888 ], [ 1.9746588468551636, 0.989545464515686, 0.051450006663799286, -0.8865540027618408 ], [ -0.7582005262374878, -1.054926872253418, 0.24231107532978058, 0.2047061026096344 ]], dtype=torch.float32), 'a': torch.as_tensor( [[-0.3932780623435974, 1.3926752805709839, 0.15839703381061554], [-0.20438800752162933, 1.8686834573745728, -1.363110899925232]], 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