What are the conditionals/criteria? - non Von Neumann (hardly debuggable)? -
GPUs - CUDA support - TPUs - If the GPU card is detected but the drivers aren't installed, what should it do? On Friday, August 31, 2018, Tzu-ping Chung <uranu...@gmail.com> wrote: > I’m not knowledgable about GPUs, but from limited conversations with > others, > it is important to first decide what exactly the problem area is. Unlike > currently > available environment markers, there’s currently not a very reliable way to > programmatically determine even if there is a GPU, let alone what that GPU > can > actually do (not every GPU can be used by Tensorflow, for example). > > IMO it would likely be a good route to first implement some interface for > GPU > environment detection in Python. This interface can then be used in > projects like > tensorflow-auto-detect. Projects like Tensorflow can also detect directly > what > implementation it should use, like many projects do platform-specific > things by > detection os.name of sys.platform. Once we’re sure we have all the things > needed > for detection, markers can be drafted based on the detection interface. > > TP > > > > On 01/9/2018, at 03:57, Dustin Ingram <d...@python.org> wrote: > > > > Hi all, trying to pull together a few separate discussions into a > > single thread here. > > > > The main issue is that currently PEP 508 does not provide environment > > markers for GPU/CUDA availability, which leads to problems for > > projects that want to provide distributions for environments with and > > without GPU support. > > > > As far as I can tell, there's been multiple suggestions to bring this > > issue to distutils-sig, but no one has actually done it. > > > > Relevant issues: > > > > (closed) "How should Python packages depending on TensorFlow structure > > their requirements?" > > https://github.com/tensorflow/tensorflow/issues/7166 > > > > (closed) "Adding gpu or cuda specification in PEP 508" > > https://github.com/python/peps/issues/581 > > > > (closed) "More support for conditional installation" > > https://github.com/pypa/pipenv/issues/1353 > > > > (no response) "Adding gpu or cuda markers in PEP 508" > > https://github.com/pypa/interoperability-peps/issues/68 > > > > There is now a third-party project which attempts to amend this for > > tensorflow (https://github.com/akatrevorjay/tensorflow-auto-detect) > > but this approach is somewhat fragile (depends on version numbers > > being in sync), doesn't directly scale to all similar projects, and > > would require maintainers for a given project to maintain _three_ > > separate projects, instead of just one. > > > > I'm not intimately familiar with PEP 508, so my questions for this list: > > > > * Is the demand sufficient to justify supporting this use case? > > * Is it possible to add support for GPU Environment markers? > > * If so, what would need to be done? > > * If implemented, what should the transition look like for projects > > like tensorflow? > > > > Thanks! > > D. > > -- > > Distutils-SIG mailing list -- distutils-sig@python.org > > To unsubscribe send an email to distutils-sig-le...@python.org > > https://mail.python.org/mm3/mailman3/lists/distutils-sig.python.org/ > > Message archived at https://mail.python.org/mm3/ > archives/list/distutils-sig@python.org/message/ > LXLF4YSC4WUZOYRX65DW7CESIX7UUBK5/ > -- > Distutils-SIG mailing list -- distutils-sig@python.org > To unsubscribe send an email to distutils-sig-le...@python.org > https://mail.python.org/mm3/mailman3/lists/distutils-sig.python.org/ > Message archived at https://mail.python.org/mm3/ > archives/list/distutils-sig@python.org/message/ > 3VLRDFVQS7E7BBAYF6WQQ5TM2QJMVEDX/ >
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