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I tried to create my own PARAFAC decomposition but when I tried with the tensorly.unfold() it did not work as it should, but when I created my own unfold func (based on another library) it worked just…
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Reproduction:
```
mkvirtualenv tensor ## Python 3 default
make install
pip install pytest
TENSORLY_BACKEND='numpy' pytest -v tensorly
```
Result:
```
8 failed, 38 passed in 1.32 seconds
``…
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Hi @jacobgil ,
Thanks for your great work. When I run your train code, I get the error: dlopen cannot load any more object with static tls. I think that is because the order import libraries of mxn…
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```python
import tensorly as tl
import numpy as np
# default backend is mxnet
x = np.random.random(100)
# crashed here
tl.tensor(x).argmax()
# or
np.argmax(tl.tensor(x))
```
My numpy ver…
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in tensor_regression_layer_pytorch, i got a error:
in forward(self, x)
28 def forward(self, x):
29 regression_weights = tl.tucker_to_tensor(self.core, self.factors)
---> 3…
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## Problem
Tensorly cannot be installed if the dependencies are not met beforehand.
The `setup.py` script is importing tensorly to grab the version; this is problematic, since importing tensorly req…
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Hello! I am receiving an error when performing nonnegative Tucker decomposition. Regular Tucker decomposition works fine, and so does PARAFAC and nonnegative PARAFAC.
` at:
```python
for i, sh…
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I tried to use pytorch as the backend by using `tl.set_backend('pytorch')`
But I get an error mentioning that `ModuleNotFoundError: No module named 'tensorly.backend.pytorch_backend'`
I have pyt…
rtmlp updated
6 years ago