Error estimating tensors on hcp dataset

[gabknight]

I get the following error estimating tensors on the hcp data (mgh_1010):

Traceback (most recent call last):
  File "tenosrs.py", line 44, in <module>
    tenfit = tenmodel.fit(data[..., mask_bvals_1000])
  File "/home/ggirard/research/dipy/dipy/reconst/dti.py", line 677, in fit
    *self.args, **self.kwargs)
  File "/home/ggirard/research/dipy/dipy/reconst/dti.py", line 1113, in wls_fit_tensor
    min_signal, min_diffusivity)
  File "/home/ggirard/research/dipy/dipy/reconst/dti.py", line 1127, in _wls_iter
    min_signal = sig[sig > 0].min()
  File "/usr/lib/python2.7/dist-packages/numpy/core/_methods.py", line 14, in _amin
    out=out, keepdims=keepdims)
ValueError: zero-size array to reduction operation minimum which has no identity

[arokem]

Are you sure you are running the current master branch? A recent merge
should have fixed that.

On Fri, Dec 19, 2014 at 1:50 PM, Gabriel Girard notifications@github.com
wrote:

I get the following error estimating tensors on the hcp data (mgh_1010):

Traceback (most recent call last):
File "tenosrs.py", line 44, in
tenfit = tenmodel.fit(data[..., mask_bvals_1000])
File "/home/ggirard/research/dipy/dipy/reconst/dti.py", line 677, in fit
_self.args, *_self.kwargs)
File "/home/ggirard/research/dipy/dipy/reconst/dti.py", line 1113, in wls_fit_tensor
min_signal, min_diffusivity)
File "/home/ggirard/research/dipy/dipy/reconst/dti.py", line 1127, in _wls_iter
min_signal = sig[sig > 0].min()
File "/usr/lib/python2.7/dist-packages/numpy/core/_methods.py", line 14, in _amin
out=out, keepdims=keepdims)
ValueError: zero-size array to reduction operation minimum which has no identity

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[gabknight]

I wasn't. thx. I retry it.

[gabknight]

my bad. thx again. This can be close.

[arokem]

Whew. I was hoping I didn't have to go back to fix that up again. Spent so much time on it last week...