Option (flag) to disable `optimized_execution` in pytorch backend
See original GitHub issueOption to execute torch.jit
with the optimized_execution
set to false, in order to avoid the warm-up and optimisation.
Python counterpart:
with torch.jit.optimized_execution(False):
y = model(x)
Issue Analytics
- State:
- Created 2 years ago
- Comments:8 (5 by maintainers)
Top Results From Across the Web
Performance Tuning Guide - PyTorch
General optimizations · Enable async data loading and augmentation · Disable gradient calculation for validation or inference · Disable bias for convolutions ...
Read more >TorchScript — PyTorch 1.13 documentation
Since TorchScript (scripting and tracing) is disabled with this flag, ... There are a couple of fusion backends available to optimize TorchScript execution....
Read more >torch.backends — PyTorch 1.13 documentation
torch.backends controls the behavior of various backends that PyTorch supports. ... This flag (a str ) allows overriding those heuristics.
Read more >5. Advanced configuration - PyTorch
If this option is disabled, TorchServe runs in the background ... Backend workers execute an arbitrary model's custom code, which might expose a...
Read more >Distributed communication package - torch.distributed - PyTorch
This is done since CUDA execution is async and it is no longer safe to ... Options for the nccl backend, is_high_priority_stream can...
Read more >Top Related Medium Post
No results found
Top Related StackOverflow Question
No results found
Troubleshoot Live Code
Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start FreeTop Related Reddit Thread
No results found
Top Related Hackernoon Post
No results found
Top Related Tweet
No results found
Top Related Dev.to Post
No results found
Top Related Hashnode Post
No results found
Top GitHub Comments
Hi @CoderHam! Will do, I’ll let you know. Thanks!
@ioangatop can you try to build and test the changes from this PR: triton-inference-server/pytorch_backend#24?