#Visual studio 2017 download new sdk upgrade#
#Visual studio 2017 download new sdk software#
#Visual studio 2017 download new sdk code#

You might want to tell that to the people who maintain Tensorflow.

It would be nice if the package was written in such a way that making such updates to both the new version and the old version is not a big deal. Which is counterproductive in fields that are still in rapid development, like parallel computing and deep learning.

#Visual studio 2017 download new sdk software#

A free вЂњmix and matchвЂќ of software components is not possible unless interfaces are frozen, standardized, validated, and enforced. ThatвЂ™s why software packages typically state their exact prerequisites. This problem can be exacerbated when different development models are used by the development teams producing the various components that make up the software stack. But as a trade-off, they cannot offer some features that CUDA users find useful.ДЄs explained earlier, when there are dependencies in a software stack, there is typically a lag from where a lower-level component gets updated to where the next higher level up is adjusted to these changes.

OpenCL, which do not result in such tight coupling. There are competing models of host toolchain integration, e.g. As a consequence, adjusting CUDA to changes in the host toolchain is non-trivial and requires developer resources.

#Visual studio 2017 download new sdk code#

This is needed to ensure the correct functioning of host device functions (this is identical code that can be built for both host and device), for example. There is an old song by the Rolling Stones which addresses this scenario: You canвЂ™t always get what you want.ДЇor better and worse, CUDA requires tight integration with various components of the host toolchain (header files in particular). That is in general what happens in a software stack: If the software lower in the stack gets updated, support for that in the next higher layer of the software stack gets added in the next version, not the version that has been out for year and is done and dusted. It will not support cuda 9 on windows until version 1.5 is releasedДЄnalogous situation to CUDA, which added (preliminary) support for MSVC 2017 in the next version, namely CUDA 9. I figured it would only be fair to extend the same approach to the Tensorflow vendor (Google) :-) Maybe I have a quirky sense of humor. But strangely enough, a certain percentage of CUDA programmers starts complaining if a new version of MSVS ships and it is not immediately supported by CUDA. You cant really expect everyone to imediately release a new version of their software just because you release a new version.Д®xactly. I am unable to make a remote diagnosis as to why your installation may be inoperable. Installation was smooth and I have not encountered any issues so far.

#Visual studio 2017 download new sdk upgrade#

I downloaded and installed the latest version of it (8.0.61) fairly recently (due to various constraints and dependencies I am unable to upgrade to CUDA 9 at this time). CUDA 8 is still available for download and installation.