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The argument axes is named dims in PyTorchBackend, which is different from all other backends. Also, the type of argument is different. While other backends support tuple of numbers for axes, the PyTorchBackend only support tuple of list.
The text was updated successfully, but these errors were encountered:
We are planning on defining the function tensordot in the abstract backend. For now a good solution is using matmul that seems to work in the same way for all backends.
When I try to call the function
tensordot
from different backends, the arguments are not consistent:The argument
axes
is nameddims
inPyTorchBackend
, which is different from all other backends. Also, the type of argument is different. While other backends supporttuple
of numbers foraxes
, thePyTorchBackend
only supporttuple
oflist
.The text was updated successfully, but these errors were encountered: