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Could anyone help? When I tried to run this project in Ubuntu 18.04, I faced this problem:
./apf/base/allocate.c:632:10: fatal error: gsl/gsl_rng.h: No such file or directory
#include "gsl/gsl_rn…
xnfei updated
4 years ago
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I have written a cpu version of such calculate problem, but cpu version is still slow.
```
from numba import jit
import numpy as np
@jit(nopython=True)
def resid_lstsq(x,y):
ret = np.lina…
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I'm trying to use `tensorly.decomposition.tucker`, but I get this error from some Scipy LAPACK wrapper script:
```
ValueError: On entry to SGESDD parameter number 10 had an illegal value
```
A…
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**System information**
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Ubuntu 16.04.6 LTS
- TensorFlow installed from (source or binary): Binary (pip3 install -U tensorflow-gpu
- TensorF…
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I installed Tensorly via Pip and the latest release is 0.4.3 released on 25 Dec 2018.
I performed a non negative tucker decomposition but I got this error:
> Traceback (most recent call last):
…
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When I ran the following code:
X = tl.tensor(np.random.randn(8,8,8)/ 8 )
weights, factors = parafac(X, rank=2, normalize_factors=True)
I got this error:
Traceback (most recent call last):
…
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With TensorFlow 1.12.0 as the backend I run into an index error when trying to use parafac.
Try the following:
```import numpy as np
import tensorflow as tf
tf.__version__
tf.enable_eager_ex…
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Hi,
I just run the example notebook "CP-decomposition" and I got the error as below. Do you know the reason for that? The tensorly version I used is '0.4.3'.
Thank you,
X = tl.tensor(np.arange(24…
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Hi, @JeanKossaifi
When I was using your latest version (0.4.4) installed from the github website, an error occurs which provides the following error messages:
`
13 sparse_factors = sparse_paraf…
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How can I create a sparse tensor to run the tucker?
Thanks you