forked from EngineX-Cambricon/enginex-mlu370-vllm
add deepseekv3 and llama4
This commit is contained in:
@@ -26,9 +26,12 @@ def vllm__module_executor__layers__linear__UnquantizedLinearMethod__apply(
|
||||
beta = 1.0
|
||||
residual = residual.view(-1, residual.shape[-1])
|
||||
res_shape = x.shape[0:-1] + (layer.weight.shape[0], )
|
||||
# MLU matmul requires matching dtypes; cast input to weight dtype
|
||||
if x.dtype != layer.weight.dtype:
|
||||
x = x.to(layer.weight.dtype)
|
||||
# MLU matmul requires all tensors to have matching dtypes
|
||||
target_dtype = layer.weight.dtype
|
||||
if x.dtype != target_dtype:
|
||||
x = x.to(target_dtype)
|
||||
if residual is not None and residual.dtype != target_dtype:
|
||||
residual = residual.to(target_dtype)
|
||||
return mlu_ops.matmul(x.view(-1, x.shape[-1]), layer.weight, bias, residual, 'none', 1.0, beta).view(res_shape)
|
||||
|
||||
|
||||
|
||||
Reference in New Issue
Block a user