terminate called after throwing an instance of 'std::out_of_range'

[RalphMao]

Here is my python codes:

import owl, numpy
a = numpy.zeros((300,400))
b = owl.from_numpy(a)

And it just gave me such an error:
terminate called after throwing an instance of 'std::out_of_range'
what(): _Map_base::at
Aborted (core dumped)

help...

[RalphMao]

Update:
a = owl.ones(3)

It also caused the same error

[jermainewang]

Hi,

Have you initialized the system and created devices before running the
code? You should add codes like:

import sys, owl
owl.initialize(sys.argv)
gpu = owl.create_gpu_device(0)
owl.set_device(gpu)

before running the codes.

Minjie
​

On Sun, Nov 1, 2015 at 7:12 AM, RalphMao notifications@github.com wrote:

Update:
a = owl.ones(3)

It also caused the same error

—
Reply to this email directly or view it on GitHub
#51 (comment).

Minjie Wang
New York University | Computer Science
715 Broadway, New York, NY, 10009

[RalphMao]

I was using the starting script run_owl_shell.sh
It gave additional error information:
Exception TypeError: "'int' object is not iterable" in 'owl.libowl._list_to_vector' ignored

[RalphMao]

I have tried it on another machine. The same problem.

[RalphMao]

OK I find the problem. It does not support the numpy-like way: ones(n) . Anyway I do not think such a problem should cause the python environment to collapse.

[jermainewang]

Hi,

You are right. This should not cause the python environment to collapse.
This is because the current way to support numpy-like operation is by
wrapping all the interface by ourselves. However, it is never easy to cover
all the interfaces. Therefore, we are now working on another project that
directly uses numpy's interface but replace the computation (more
efficient) behind the curtain with fallback to original numpy if the
computation has not be implemented yet. In such way, the above problem
won't happen at all since there is no difference than writing a numpy code.
We are actively developing toward this goal. Please stay hold and we will
release it as soon as possible.

Thank you for you suggestion!

Minjie

On Mon, Nov 2, 2015 at 8:00 AM, RalphMao notifications@github.com wrote:

OK I find the problem. It does not support the numpy-like way: ones(n) .
Anyway I do not think such a problem should cause the python environment to
collapse.

—
Reply to this email directly or view it on GitHub
#51 (comment).

Minjie Wang
New York University | Computer Science
715 Broadway, New York, NY, 10009

[RalphMao]

Wow, that's definitely what I am looking for. I am looking forward to being your first group of users :)