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([[-4, 0, -5], [5, 4, 5]], dtype=torch.long) }, 'a': torch.as_tensor([[8, -2, -3, -1], [9, -1, 2, 0], [-4, 0, -1, 6]], dtype=torch.long) }) t_shape = Size({'x': {'b': torch.Size([2, 3])}, 'a': torch.Size([3, 4])}) t_tensor = Tensor({ 'b': torch.as_tensor([[ 1.136405110359192, -0.9269028306007385, 1.177195429801941, 0.6669424176216125 ], [ 0.5716557502746582, -0.5980654954910278, -1.3264665603637695, -0.35822397470474243 ], [ -0.9364849925041199, -0.13343240320682526, 1.6067432165145874, 1.1122426986694336 ]], dtype=torch.float32), 'a': torch.as_tensor( [[-0.5386978983879089, -0.5760756731033325, -0.7756832838058472], [0.6613494753837585, -1.534128189086914, 1.44227135181427]], 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