Thankfully, they don't need to be. Even if the maintainers refuse any patches to add native NNEF support, they can't prevent you from using tools that convert between their formats and NNEF.
Of course Google wants the whole world to use TensorFlow and FaceBook would rather they all use Caffe2. Neither has much to gain by making it easy to convert between them, but their cooperation is unnecessary.
There are plenty of big players in the WG, both at the bottom (hardware) and top (apps) of the stack. They have basically all GPU designers except for Nvidia: AMD, ARM, Imagination, Intel, and Qualcomm. Add to that some FPGA and deep learning silicon vendors. At the top of the stack, they have AIMotive and Axis. There are also several middleware & tools vendors.
More than enough folks who know what they're doing and have a vested interest in it succeeding. I don't know why you're throwing shade, but you're wasting your breath.
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edzieba - Wednesday, December 20, 2017 - link
That headline reads like one of the Secret Project achievements from Sid Meier's Alpha Centauri.p1esk - Wednesday, December 20, 2017 - link
Well, that's a noble goal, but are the major frameworks interested?mode_13h - Thursday, December 21, 2017 - link
Thankfully, they don't need to be. Even if the maintainers refuse any patches to add native NNEF support, they can't prevent you from using tools that convert between their formats and NNEF.p1esk - Friday, December 22, 2017 - link
Ok, but who will write the conversion code? Or, which companies benefit from this?mode_13h - Friday, December 22, 2017 - link
Here's a link from the article:https://github.com/KhronosGroup/Khronosdotorg/blob...
And I think it's reasonable to assume some popular frameworks will accept PRs to directly integrate NNEF support.
alfalfacat - Thursday, December 21, 2017 - link
Conspicuously absent from the NNEF Working Group: Google, Microsoft, Facebook, Apple, Baidu, etc.You know, the people actually spending billions writing TF/CNTK/Caffe2, building custom hardware accelerators, and using it in production?
mode_13h - Thursday, December 21, 2017 - link
Yeah, so what?Of course Google wants the whole world to use TensorFlow and FaceBook would rather they all use Caffe2. Neither has much to gain by making it easy to convert between them, but their cooperation is unnecessary.
There are plenty of big players in the WG, both at the bottom (hardware) and top (apps) of the stack. They have basically all GPU designers except for Nvidia: AMD, ARM, Imagination, Intel, and Qualcomm. Add to that some FPGA and deep learning silicon vendors. At the top of the stack, they have AIMotive and Axis. There are also several middleware & tools vendors.
More than enough folks who know what they're doing and have a vested interest in it succeeding. I don't know why you're throwing shade, but you're wasting your breath.
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