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[Perf] Support tensor transmission between work and engine with zero-copy to improve efficiency (#4839)

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* feat(zmq): support tensor transmission with zero-copy for improved efficiency

* perf: zmq.send disable copy

* zmq recv data for debug

* convert logprobs tensor to cpu
This commit is contained in:
SunLei
2025-11-11 15:43:11 +08:00
committed by GitHub
parent 8b61f01c68
commit 3098aee05f
8 changed files with 23 additions and 18 deletions
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fastdeploy/model_executor/layers/sample/sampler.py
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@@ -334,7 +334,9 @@ class Sampler(nn.Layer):
else:
indices = token_ids
top_logprobs = token_logprobs
indices = indices.cpu()
top_logprobs = top_logprobs.cpu()
token_ranks = token_ranks.cpu()
return LogprobsTensors(indices, top_logprobs, token_ranks)
def forward_cuda(