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[Hardware][Intel] Isolate CPUModelRunner and ModelRunner for better maintenance #3824
[Hardware][Intel] Isolate CPUModelRunner and ModelRunner for better maintenance #3824
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@bigPYJ1151 Thanks for the PR! Could you please rebase the PR before merge?
@@ -141,7 +141,7 @@ def forward( | |||
attn_metadata.kv_cache_dtype) | |||
|
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if attn_metadata.is_prompt: | |||
if (kv_cache is None or attn_metadata.block_tables.numel() == 0): | |||
if (kv_cache is None or attn_metadata.block_tables is None): |
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if (kv_cache is None or attn_metadata.block_tables is None): | |
if kv_cache is None or attn_metadata.block_tables is None: |
bias = bias[None, :].expand(num_heads, prompt_len, prompt_len)\ | ||
.mul(alibi_slopes[:, None, None]) |
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Why do we change this?
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Because expand
outputs a tensor view doesn't support inplace operation.
vllm/worker/cpu_model_runner.py
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Thanks for factoring out this part from GPU model runner. We will work on reducing the duplicated code in the future.
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Hi @WoosukKwon thanks for your comments, this PR is ready to merge. BTW, the chunked prefill enabled in #3884 looks good, and it made some changes in |
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@bigPYJ1151 LGTM! Thanks for submitting the PR!
Should we create a new issue to track the deduplication? That much duplicated code makes me feel a bit uneasy lol |
Fix #3776
This PR created a new
CPUModelRunner
fromModelRunner
for better maintenance.PR Checklist (Click to Expand)
Thank you for your contribution to vLLM! Before submitting the pull request, please ensure the PR meets the following criteria. This helps vLLM maintain the code quality and improve the efficiency of the review process.
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for build or continuous integration improvements.[Doc]
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for adding a new model or improving an existing model. Model name should appear in the title.[Frontend]
For changes on the vLLM frontend (e.g., OpenAI API server,LLM
class, etc.)[Kernel]
for changes affecting CUDA kernels or other compute kernels.[Core]
for changes in the core vLLM logic (e.g.,LLMEngine
,AsyncLLMEngine
,Scheduler
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