[Hardware][Intel-Gaudi] Add Intel Gaudi (HPU) inference backend (#6143)
Signed-off-by: yuwenzho <yuwen.zhou@intel.com> Signed-off-by: Chendi.Xue <chendi.xue@intel.com> Signed-off-by: Bob Zhu <bob.zhu@intel.com> Signed-off-by: zehao-intel <zehao.huang@intel.com> Signed-off-by: Konrad Zawora <kzawora@habana.ai> Co-authored-by: Kunshang Ji <kunshang.ji@intel.com> Co-authored-by: Sanju C Sudhakaran <scsudhakaran@habana.ai> Co-authored-by: Michal Adamczyk <madamczyk@habana.ai> Co-authored-by: Marceli Fylcek <mfylcek@habana.ai> Co-authored-by: Himangshu Lahkar <49579433+hlahkar@users.noreply.github.com> Co-authored-by: Vivek Goel <vgoel@habana.ai> Co-authored-by: yuwenzho <yuwen.zhou@intel.com> Co-authored-by: Dominika Olszewska <dolszewska@habana.ai> Co-authored-by: barak goldberg <149692267+bgoldberg-habana@users.noreply.github.com> Co-authored-by: Michal Szutenberg <37601244+szutenberg@users.noreply.github.com> Co-authored-by: Jan Kaniecki <jkaniecki@habana.ai> Co-authored-by: Agata Dobrzyniewicz <160237065+adobrzyniewicz-habana@users.noreply.github.com> Co-authored-by: Krzysztof Wisniewski <kwisniewski@habana.ai> Co-authored-by: Dudi Lester <160421192+dudilester@users.noreply.github.com> Co-authored-by: Ilia Taraban <tarabanil@gmail.com> Co-authored-by: Chendi.Xue <chendi.xue@intel.com> Co-authored-by: Michał Kuligowski <mkuligowski@habana.ai> Co-authored-by: Jakub Maksymczuk <jmaksymczuk@habana.ai> Co-authored-by: Tomasz Zielinski <85164140+tzielinski-habana@users.noreply.github.com> Co-authored-by: Sun Choi <schoi@habana.ai> Co-authored-by: Iryna Boiko <iboiko@habana.ai> Co-authored-by: Bob Zhu <41610754+czhu15@users.noreply.github.com> Co-authored-by: hlin99 <73271530+hlin99@users.noreply.github.com> Co-authored-by: Zehao Huang <zehao.huang@intel.com> Co-authored-by: Andrzej Kotłowski <Andrzej.Kotlowski@intel.com> Co-authored-by: Yan Tomsinsky <73292515+Yantom1@users.noreply.github.com> Co-authored-by: Nir David <ndavid@habana.ai> Co-authored-by: Yu-Zhou <yu.zhou@intel.com> Co-authored-by: Ruheena Suhani Shaik <rsshaik@habana.ai> Co-authored-by: Karol Damaszke <kdamaszke@habana.ai> Co-authored-by: Marcin Swiniarski <mswiniarski@habana.ai> Co-authored-by: Woosuk Kwon <woosuk.kwon@berkeley.edu> Co-authored-by: Jacek Czaja <jacek.czaja@intel.com> Co-authored-by: Jacek Czaja <jczaja@habana.ai> Co-authored-by: Yuan <yuan.zhou@outlook.com>
This commit is contained in:
@@ -92,6 +92,25 @@ class RMSNorm(CustomOp):
|
||||
)
|
||||
return out
|
||||
|
||||
def forward_hpu(
|
||||
self,
|
||||
x: torch.Tensor,
|
||||
residual: Optional[torch.Tensor] = None,
|
||||
) -> Union[torch.Tensor, Tuple[torch.Tensor, torch.Tensor]]:
|
||||
from vllm_hpu_extension.ops import HPUFusedRMSNorm
|
||||
if HPUFusedRMSNorm is None:
|
||||
return self.forward_native(x, residual)
|
||||
if residual is not None:
|
||||
orig_shape = x.shape
|
||||
residual += x.view(residual.shape)
|
||||
# Note: HPUFusedRMSNorm requires 3D tensors as inputs
|
||||
x = HPUFusedRMSNorm.apply(residual, self.weight,
|
||||
self.variance_epsilon)
|
||||
return x.view(orig_shape), residual
|
||||
|
||||
x = HPUFusedRMSNorm.apply(x, self.weight, self.variance_epsilon)
|
||||
return x
|
||||
|
||||
def forward_xpu(
|
||||
self,
|
||||
x: torch.Tensor,
|
||||
|
||||
Reference in New Issue
Block a user