In aloception-oss, we have overloaded some operation of torch.tensor. For example, a mechanism allows torch.cat to concatenate multiple AugmentedTensor and theirs children, in a recursive manner.
But in the current state of the code: torch.cat works as expected with a List of AugmentedTensor as input, but not with a tuple of AugmentedTensor.
from aloscene import Frame
from aloscene.tensors import AugmentedTensor
x = Frame(torch.rand(3, 10, 10), names=('C', 'H', 'W'))
x.add_child('mychild',AugmentedTensor(torch.rand(2), names=("N",)) , mergeable=True, align_dim=["B", "T"])
y = Frame(torch.rand(3, 10, 10), names=('C', 'H', 'W'))
y.add_child('mychild',AugmentedTensor(torch.rand(2), names=("N",)) , mergeable=True, align_dim=["B", "T"])
result = torch.cat((x.batch(), y.batch()), dim=0)
print(result.mychild.names, " - ", result.mychild.shape)
In aloception-oss, we have overloaded some operation of
torch.tensor. For example, a mechanism allowstorch.catto concatenate multipleAugmentedTensorand theirs children, in a recursive manner.But in the current state of the code:
torch.catworks as expected with aListofAugmentedTensoras input, but not with atupleofAugmentedTensor.Expected output:
Current output: