@vectorize'd functions not compiling, crashing kernel

[alexbw]

In [1]: from numba.decorators import vectorize

In [2]: @vectorize
...: def my_add(x):
...: return x+x
...:
str_to_llvmtype(): str = 'f64'
str_to_llvmtype(): str = 'f64'
{'blocks': {0: <llvm.core.BasicBlock object at 0x10afbdbd0>},
'blocks_dom': {0: set([0])},
'blocks_in': {0: set()},
'blocks_out': {0: set()},
'blocks_reaching': {0: set([0])},
'blocks_reads': {0: set([0])},
'blocks_writer': {0: {}},
'blocks_writes': {0: set([0])},
'translator': <numba.translate.Translate object at 0x10afbd910>}
op_BINARY_ADD(): <Variable(val=<llvm.core.Argument object at 0x10afbdb50>, _llvm=<llvm.core.Argument object at 0x10afbdb50>, typ='f64')> + <Variable(val=<llvm.core.Argument object at 0x10afbdb50>, _llvm=<llvm.core.Argument object at 0x10afbdb50>, typ='f64')>
resolve_type(): arg1 = <Variable(val=<llvm.core.Argument object at 0x10afbdb50>, _llvm=<llvm.core.Argument object at 0x10afbdb50>, typ='f64')>, arg2 = <Variable(val=<llvm.core.Argument object at 0x10afbdb50>, _llvm=<llvm.core.Argument object at 0x10afbdb50>, typ='f64')>
resolve_type() ==> 'f64'
Warning: Could not create fast version... 'module' object has no attribute 'PASS_DEAD_CODE_ELIMINATION'
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.3/lib/python2.7/site-packages/numba/decorators.py", line 55, in vectorize
t.translate()
File "/Library/Frameworks/EPD64.framework/Versions/7.3/lib/python2.7/site-packages/numba/translate.py", line 935, in translate
fpm.add(lp.PASS_DEAD_CODE_ELIMINATION)
AttributeError: 'module' object has no attribute 'PASS_DEAD_CODE_ELIMINATION'

Note that I had to install minivect by manually cloning from numba/minivect. I don't know if that's causing the problem.

[teoliphant]

llvmpy change recently. You have to disable the Pass --- we are working to get an actual release of Numba out soon. Apologies for the problems.

-Travis

On Aug 10, 2012, at 12:59 PM, Alex Wiltschko wrote:

In [1]: from numba.decorators import vectorize

In [2]: @vectorize
...: def my_add(x):
...: return x+x
...:
str_to_llvmtype(): str = 'f64'
str_to_llvmtype(): str = 'f64'
{'blocks': {0: },
'blocks_dom': {0: set([0])},
'blocks_in': {0: set()},
'blocks_out': {0: set()},
'blocks_reaching': {0: set([0])},
'blocks_reads': {0: set([0])},
'blocks_writer': {0: {}},
'blocks_writes': {0: set([0])},
'translator': }
op_BINARY_ADD(): , _llvm=, typ='f64')> + , _llvm=, typ='f64')>
resolve_type(): arg1 = , _llvm=, typ='f64')>, arg2 = , _llvm=, typ='f64')>
resolve_type() ==> 'f64'
Warning: Could not create fast version... 'module' object has no attribute 'PASS_DEAD_CODE_ELIMINATION'
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.3/lib/python2.7/site-packages/numba/decorators.py", line 55, in vectorize
t.translate()
File "/Library/Frameworks/EPD64.framework/Versions/7.3/lib/python2.7/site-packages/numba/translate.py", line 935, in translate
fpm.add(lp.PASS_DEAD_CODE_ELIMINATION)
AttributeError: 'module' object has no attribute 'PASS_DEAD_CODE_ELIMINATION'

Note that I had to install minivect by manually cloning from numba/minivect. I don't know if that's causing the problem.

?
Reply to this email directly or view it on GitHub.

[alexbw]

Sounds good. I will wait for an official release.

On Fri, Aug 10, 2012 at 2:03 PM, Travis E. Oliphant <
notifications@github.com> wrote:

llvmpy change recently. You have to disable the Pass --- we are working to
get an actual release of Numba out soon. Apologies for the problems.

-Travis

On Aug 10, 2012, at 12:59 PM, Alex Wiltschko wrote:

In [1]: from numba.decorators import vectorize

In [2]: @vectorize
...: def my_add(x):
...: return x+x
...:
str_to_llvmtype(): str = 'f64'
str_to_llvmtype(): str = 'f64'
{'blocks': {0: },
'blocks_dom': {0: set([0])},
'blocks_in': {0: set()},
'blocks_out': {0: set()},
'blocks_reaching': {0: set([0])},
'blocks_reads': {0: set([0])},
'blocks_writer': {0: {}},
'blocks_writes': {0: set([0])},
'translator': }
op_BINARY_ADD(): , _llvm=, typ='f64')> + , _llvm=, typ='f64')>
resolve_type(): arg1 = , _llvm=, typ='f64')>, arg2 = , _llvm=,
typ='f64')>
resolve_type() ==> 'f64'
Warning: Could not create fast version... 'module' object has no
attribute 'PASS_DEAD_CODE_ELIMINATION'
Traceback (most recent call last):
File
"/Library/Frameworks/EPD64.framework/Versions/7.3/lib/python2.7/site-packages/numba/decorators.py",
line 55, in vectorize
t.translate()
File
"/Library/Frameworks/EPD64.framework/Versions/7.3/lib/python2.7/site-packages/numba/translate.py",
line 935, in translate
fpm.add(lp.PASS_DEAD_CODE_ELIMINATION)
AttributeError: 'module' object has no attribute
'PASS_DEAD_CODE_ELIMINATION'

Note that I had to install minivect by manually cloning from
numba/minivect. I don't know if that's causing the problem.

?
Reply to this email directly or view it on GitHub.

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Reply to this email directly or view it on GitHubhttps://github.com//issues/18#issuecomment-7652149.