+1 (binding)
I ran unittests successfully on 3 different GPU architectures on CUDA 10.2 :
Tesla P100-SXM2 (Pascal, arch = 60).
Tesla V100-SXM2 (Volta, arch = 70)
Tesla T4 (Turing, arch = 75)
Compilation was via ./tests/jenkins/run_test_ubuntu.sh modified with the
additional lines:
echo "DEV=0"
> >> us
> >> > down on CI.
> >> >
> >> > I am facing a issue with CUDA 10 and CUDA 10.1 which also seems to be
> >> > causing intermittent CI failures:
> >> > https://github.com/apache/incubator-mxnet/issues/15273 . There is
> >
MXNet has a number of context-specific operator parameters: 'cudnn_tune',
'cudnn_off' and 'workspace' are parameters that control the behavior of
Convolution on gpu contexts with NVIDIA gpus. Even with these, there would be
benefits to having additional parameters, e.g. to set Convolution alg
for N and N-1 makes a lot of sense to
> me. Are there use cases for supporting older CUDA versions?
>
>
> Thanks.
>
> On Mon, Jun 3, 2019 at 3:06 PM Dick Carter wrote:
> >
> > I'd like to revisit the discussi
I'd like to revisit the discussion of:
https://lists.apache.org/thread.html/27b84e4fc0e0728f2e4ad8b6827d7f996635021a5a4d47b5d3f4dbfb@%3Cdev.mxnet.apache.org%3E
now that a year has passed.
My motivation is:
1. There's a lot of hard-to-read '#if CUDNN_MAJOR' code referencing cuDNN
versions bac
In polishing PR 8313, I ended up adopting a new approach that made
debugging unittest failures much simpler. Thus, I've replaced it with:
https://github.com/apache/incubator-mxnet/pull/8526
Comments welcome!
On 2017-10-16 22:10, Dick Carter wrote:
> This thread is very timely, as it
This thread is very timely, as it relates to issues I've been trying to solve
with my coding of the last week. I think it simplest just to present the code
and detailed PR description as the clearest form of my thinking. Happy to
discuss further. Please see:
https://github.com/apache/incubat
This thread is very timely, as it relates to issues I've been trying to
solve with my coding of the last week. I think it simplest just to
present the code (and detailed PR description) as the clearest form of
my thinking. Happy to discuss further. Please see:
https://github.com/apache/incu
