Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[idea] Theoretical speed estimation #1

Open
belltailjp opened this issue Jul 31, 2018 · 0 comments
Open

[idea] Theoretical speed estimation #1

belltailjp opened this issue Jul 31, 2018 · 0 comments

Comments

@belltailjp
Copy link
Owner

As we not have a theoretical computational cost, if we have a theoretical specification of a device, we can estimate theoretical (upper-bound) of inference speed on the device.
It'd be nice if chainer_computational_cost can have a feature to receive a hardware profile and calculate layer-wise and total theoretical speed.

Problems

  • Interface design
    • Embed inference time inside layer report?
      • Pros: implementation is the simplest
      • Cons: Need to specify only one hardware profile to Hook instance.
  • Layer-specific accelerator
    • NVIDIA Volta has TensorCore, in V100 case convolution operation is 125TFLOPs, although other general arithmetics are 15TFLOPs.
    • If we use only one value as the hardware's theoretical performance, the estimated inference time is totally useless.
@belltailjp belltailjp changed the title Theoretical speed estimation [idea] Theoretical speed estimation Oct 17, 2018
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant