[XPU] Whisper model support on XPU Platform#25123
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jikunshang merged 1 commit intovllm-project:mainfrom Sep 18, 2025
Merged
[XPU] Whisper model support on XPU Platform#25123jikunshang merged 1 commit intovllm-project:mainfrom
jikunshang merged 1 commit intovllm-project:mainfrom
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Signed-off-by: chzhang <chaojun.zhang@intel.com>
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Code Review
This pull request adds support for the Whisper model on the XPU platform. The changes are minimal and confined to two files, vllm/attention/layer.py and vllm/v1/worker/utils.py. In both cases, the changes add current_platform.is_xpu() to existing platform-specific conditional logic to make XPU behave similarly to CUDA or ROCm. Specifically, it forces the use of the TORCH_SDPA attention backend for MultiHeadAttention and allows a simplified KV cache binding logic for encoder-decoder models. These changes appear to be a correct and standard approach for enabling a new hardware backend. I have not found any issues of high or critical severity.
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…litPR into model_register * 'model_register' of https://github.com/dsxsteven/vllm_splitPR: (138 commits) Retrieve `sliding_window` from text config in Gemma3 MM (vllm-project#25085) [Docs] Fix API Reference (vllm-project#25140) [Kernel] Better inf handling for grouped topk cu (vllm-project#24886) [CLI] Use streaming in CLI chat and completion commands (vllm-project#23769) [benchmark] add peak throughput metrics and plot (vllm-project#23867) [Spec Decode] Efficient padded speculation (vllm-project#24539) [V0 Deprecation] Remove more V0 tests (vllm-project#25117) [EPLB] Add EPLB support for hunyuan_v1 (vllm-project#23078) [XPU] Whisper model support on XPU Platform (vllm-project#25123) Mark prompt logprobs as incompatible with prompt embeds at API level (vllm-project#25077) [Model] enable data parallel for InternVL vision encoder (vllm-project#23909) [Kernels] Overlap shared experts with combine instead of dispatch (vllm-project#24254) [Bugfix][Qwen3-Next] add prefixes to shared_expert in qwen3-next and mlp in qwen2moe to successfully load ignored params in quantized models (vllm-project#24960) [Core][MM] Cleanup `MultiModalCache` (vllm-project#25006) [Docs] Clean up the contributing README (vllm-project#25099) [MM Encoder] Apply DP ViT for Qwen3-VL model series (vllm-project#24955) [Kernels] Enable DeepGEMM by default (vllm-project#24462) [V0 Deprecation] Skip PP test (vllm-project#25128) [V0 Deprecation] Remove misc V0 tests (vllm-project#25118) [V0 Deprecation] Remove V0 Tracing & Metrics tests (vllm-project#25115) ...
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Signed-off-by: chzhang <chaojun.zhang@intel.com>
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Signed-off-by: chzhang <chaojun.zhang@intel.com>
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Signed-off-by: chzhang <chaojun.zhang@intel.com> Signed-off-by: charlifu <charlifu@amd.com>
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Signed-off-by: chzhang <chaojun.zhang@intel.com>
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Purpose
Add Whisper model support on XPU
Test Plan
VLLM_USE_V1=1 XPU_CCL_BACKEND=xccl CCL_ATL_SHM=1 VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 VLLM_WORKER_MULTIPROC_METHOD=spawn python3 -m vllm.entrypoints.openai.api_server --model openai/whisper-large-v3 --dtype=float16 --enforce-eager --port 8000 --trust-remote-code --max_num_batched_tokens 32768 --gpu-memory-util 0.85
Test Result
with this PR:
server started
Without this pr:
Essential Elements of an Effective PR Description Checklist
supported_models.mdandexamplesfor a new model.