deepseek torchair adapt for torch_npu version (#3876)
### What this PR does / why we need it? To adapt the torch_npu version to avoid the precision problem of torchair deepseek. The torch_npu version may result in the different branches in the ops register, the rms_norm ops has two branches according to the verson_check, this pr unify the rms_norm in torchair by patch method. #3862 Signed-off-by: hust17yixuan <303660421@qq.com>
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@@ -210,7 +210,7 @@ def torchair_quant_method_register():
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def torchair_ops_patch():
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from vllm_ascend.ops.activation import AscendSiluAndMul
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from vllm_ascend.ops.layernorm import AscendRMSNorm
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from vllm_ascend.ops.layernorm import AscendQuantRMSNorm, AscendRMSNorm
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from vllm_ascend.ops.rotary_embedding import (
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AscendDeepseekScalingRotaryEmbedding, AscendRotaryEmbedding)
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from vllm_ascend.ops.vocab_parallel_embedding import \
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@@ -232,6 +232,9 @@ def torchair_ops_patch():
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AscendRMSNorm.__init__ = torchair_layernorm.torchair_rmsnorm_init_ # type: ignore[method-assign]
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AscendRMSNorm.forward_oot = torchair_layernorm.torchair_rmsnorm_forward_oot # type: ignore[method-assign]
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AscendQuantRMSNorm.__init__ = torchair_layernorm.torchair_rmsnorm_init_ # type: ignore[method-assign]
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AscendQuantRMSNorm.forward_oot = torchair_layernorm.torchair_rmsnorm_forward_oot # type: ignore[method-assign]
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AscendSiluAndMul.forward_oot = torchair_activation.torchair_silu_and_mul_forward_oot # type: ignore[method-assign]
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AscendVocabParallelEmbedding.forward = vocab_embedding_forward # type: ignore[method-assign]
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