Add torch_dma_kv_cache_benchmark.py under examples/microbenchmarks/ providing PyTorch parity with jax_dma_kv_cache_benchmark.py: - #871
Merged
Conversation
|
Thanks for your pull request! It looks like this may be your first contribution to a Google open source project. Before we can look at your pull request, you'll need to sign a Contributor License Agreement (CLA). View this failed invocation of the CLA check for more information. For the most up to date status, view the checks section at the bottom of the pull request. |
copybara-service
Bot
force-pushed
the
test_976038290
branch
from
September 6, 2026 23:35
af95bad to
4577c18
Compare
copybara-service
Bot
force-pushed
the
test_976038290
branch
from
September 25, 2026 20:36
4577c18 to
391001c
Compare
…/` providing PyTorch parity with `jax_dma_kv_cache_benchmark.py`: - Single-host raw PCIe DMA microbenchmark testing KVCacheManager D2H and H2D throughput and latency across variable layers and dtypes (bf16, fp32, int32, fp8). - Implements comparative baselines against native PyTorch pinned host memory (`pin_memory=True`, `non_blocking=True`) and standard unpinned host memory. PiperOrigin-RevId: 988471685
copybara-service
Bot
force-pushed
the
test_976038290
branch
from
September 25, 2026 20:46
391001c to
b628116
Compare
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
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Add
torch_dma_kv_cache_benchmark.pyunderexamples/microbenchmarks/providing PyTorch parity withjax_dma_kv_cache_benchmark.py:pin_memory=True,non_blocking=True) and standard unpinned host memory.