[CPU] Create dnnl stream once per graph #25407
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
|
@maxnick Could you please take a look |
maxnick
approved these changes
Jul 9, 2024
|
@dmitry-gorokhov Could you please take a look |
dmitry-gorokhov
approved these changes
Jul 11, 2024
@dmitry-gorokhov Let |
to reduce infer overhead. Even dnnl stream is very lightweight object, it is not actually allocated on stack but performs dynamic memory allocation in constructor
EgorDuplensky
force-pushed
the
create_stream_once
branch
from
c5db24a to
3e05b00
Compare
spran180
pushed a commit
to spran180/openvino
that referenced
this pull request
Jul 27, 2024
to reduce infer overhead. Even dnnl stream is very lightweight object, it is not actually allocated on stack but performs dynamic memory allocation in constructor ### Tickets: - *ticket-id*
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
to reduce infer overhead.
Even dnnl stream is very lightweight object, it is not actually
allocated on stack but performs dynamic memory allocation in constructor
Tickets: