Sorry for the delay, I just re-ran it in a clean conda environnement, here
are my system specs:
OS: archlinux
nvidia: 390.25
cuda: 9.1.85
numpy: 1.14.0
pygpu: 0.7.5
theano: git master
.theanorc:
[global]
device = cuda
floatX = float32
warn_float64 = warn
on_opt_error = raise
[nvcc]
fastmath = True
[gpuarray]
preallocate = 0.85
[cuda]
include_path = /opt/cuda/include
library_path = /opt/cuda/lib64
Le mercredi 7 février 2018 21:32:01 UTC+1, nouiz a écrit :
>
> I'm not able to reproduce it.
>
> On which OS? Which Theano version? Can you try a Theano version at least
> 1.0.1?
>
> You can ignore this "error". Mostly, some optimization are skipped. But I
> would still like to fix it.
>
> I ran the tests like this:
>
> THEANO_FLAGS=device=cuda,floatX=float32 nosetests test_ctc.py &> OUT
>
> What are your Theano flags?
>
> On Wed, Jan 24, 2018 at 5:05 AM <nicolas....@gmail.com <javascript:>>
> wrote:
>
>> Hi everyone,
>>
>> While using an OpFromGraph involving some operations with binary values,
>> there is an optimization error:
>>
>> theano.gof.opt: ERROR: Optimization failure due to: local_add_canonizer
>>> theano.gof.opt: ERROR: node:
>>> Elemwise{add,no_inplace}(InplaceDimShuffle{0,1,x}.0,
>>> InplaceDimShuffle{x,0,1}.0)
>>> theano.gof.opt: ERROR: TRACEBACK:
>>> theano.gof.opt: ERROR: Traceback (most recent call last):
>>> File "/home/granger/dev/Theano/theano/gof/opt.py", line 2034, in
>>> process_node
>>> replacements = lopt.transform(node)
>>> File "/home/granger/dev/Theano/theano/tensor/opt.py", line 4989, in
>>> transform
>>> num, denum = self.simplify(list(orig_num), list(orig_denum), out.type)
>>> File "/home/granger/dev/Theano/theano/tensor/opt.py", line 4833, in
>>> simplify
>>> out_type=out_type)
>>> File "/home/granger/dev/Theano/theano/tensor/opt.py", line 4919, in
>>> simplify_constants
>>> out_type=out_type)
>>> File "/home/granger/dev/Theano/theano/tensor/opt.py", line 6328, in
>>> add_calculate
>>> v = reduce(np.add, num, zero) - reduce(np.add, denum, zero)
>>> TypeError: numpy boolean subtract, the `-` operator, is deprecated, use
>>> the bitwise_xor, the `^` operator, or the logical_xor function instead.
>>
>>
>> This error does not happen when running on CPU backend.
>> I suspect it might be due to the use of binary values in my code, but the
>> log message is not very helpful, is there any way to get some more
>> information to track down the error? Note that the fast_compile optimizer
>> does not trigger the error, only the fast_run one.
>>
>> A demo code and the complete output is available here:
>> https://gist.github.com/nlgranger/279bda7fff356cfe3f40ad6397d0ba04
>>
>> Best,
>> Nicolas
>>
>> --
>>
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>
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