### What this PR does / why we need it? This PR adds a triton rope kernel witch supports scenarios of `rope_dim != head_dim`. This can save the split op before rope and the concat op after rope. Profiling shows improvement. ### Does this PR introduce _any_ user-facing change? None ### How was this patch tested? I will add related ut after ci integrated with triton. - vLLM version: v0.11.2 - vLLM main: https://github.com/vllm-project/vllm/commit/v0.11.2 --------- Signed-off-by: whx-sjtu <2952154980@qq.com>
31 lines
1.0 KiB
Python
31 lines
1.0 KiB
Python
from typing import Any, Dict
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import torch
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from vllm.triton_utils import HAS_TRITON, triton
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_NUM_AICORE = -1
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_NUM_VECTORCORE = -1
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def init_device_properties_triton():
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global _NUM_AICORE, _NUM_VECTORCORE
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if _NUM_AICORE == -1 and HAS_TRITON:
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device_properties: Dict[str, Any] = (
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triton.runtime.driver.active.utils.get_device_properties(
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torch.npu.current_device()))
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_NUM_AICORE = device_properties.get("num_aicore", -1)
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_NUM_VECTORCORE = device_properties.get("num_vectorcore", -1)
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assert _NUM_AICORE > 0 and _NUM_VECTORCORE > 0, "Failed to detect device properties."
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def get_aicore_num():
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global _NUM_AICORE
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assert _NUM_AICORE > 0, "Device properties not initialized. Please call init_device_properties_triton() first."
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return _NUM_AICORE
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def get_vectorcore_num():
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global _NUM_VECTORCORE
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assert _NUM_VECTORCORE > 0, "Device properties not initialized. Please call init_device_properties_triton() first."
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return _NUM_VECTORCORE
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