remove redundant memory traffic #7100
Open
Conversation
This file contains hidden or 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
|
Between the initialization for |
|
I found more examples with the same issue. And change cudamemset to async version. |
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Outdated suggestions cannot be applied.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.
In
make_convolutional_layerfunction,l.outputis initialized to 0 byxcalloc. Then it is copied tol.output_gpu, and conditionally copied tol.x_gpuandl.x_norm_gpu.We can use
cuda_memsetto set these three arrays in gpu side rather than doing copy all zeros from cpu side. This optimization will save a lot of memory traffic. In my simple test for dog.jpg, it saves about 20% memory copy traffic.