### What this PR does / why we need it?
**Scope of Changes**:
| File Path |
| :--- |
| vllm_ascend/ops/\_\_init\_\_.py |
| vllm_ascend/ops/activation.py |
| vllm_ascend/ops/flashcomm2_oshard_manager.py |
| vllm_ascend/ops/layernorm.py |
| vllm_ascend/ops/mla.py |
| vllm_ascend/ops/mm_encoder_attention.py |
| vllm_ascend/ops/register_custom_ops.py |
| vllm_ascend/ops/vocab_parallel_embedding.py |
| vllm_ascend/ops/weight_prefetch.py |
| vllm_ascend/spec_decode/\_\_init\_\_.py |
| vllm_ascend/spec_decode/eagle_proposer.py |
| vllm_ascend/spec_decode/interface.py |
| vllm_ascend/spec_decode/mtp_proposer.py |
| vllm_ascend/spec_decode/ngram_proposer.py |
| vllm_ascend/spec_decode/suffix_proposer.py |
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
- vLLM version: v0.13.0
- vLLM main:
d68209402d
Signed-off-by: MrZ20 <2609716663@qq.com>
Signed-off-by: SILONG ZENG <2609716663@qq.com>
This commit is contained in:
@@ -27,8 +27,7 @@ if HAS_TRITON:
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import vllm_ascend.ops.vocab_parallel_embedding # noqa
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from vllm_ascend.ops.activation import AscendQuickGELU, AscendSiluAndMul
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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.rotary_embedding import AscendDeepseekScalingRotaryEmbedding, AscendRotaryEmbedding
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class dummyFusionOp:
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@@ -40,23 +39,13 @@ class dummyFusionOp:
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def register_dummy_fusion_op() -> None:
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torch.ops._C_ascend.rms_norm = dummyFusionOp(name="rms_norm")
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torch.ops._C_ascend.fused_add_rms_norm = dummyFusionOp(
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name="fused_add_rms_norm")
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torch.ops._C_ascend.static_scaled_fp8_quant = dummyFusionOp(
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name="static_scaled_fp8_quant")
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torch.ops._C_ascend.dynamic_scaled_fp8_quant = dummyFusionOp(
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name="dynamic_scaled_fp8_quant")
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torch.ops._C_ascend.dynamic_per_token_scaled_fp8_quant = dummyFusionOp(
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name="dynamic_per_token_scaled_fp8_quant")
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torch.ops._C_ascend.rms_norm_static_fp8_quant = dummyFusionOp(
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name="rms_norm_static_fp8_quant")
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torch.ops._C_ascend.fused_add_rms_norm_static_fp8_quant = dummyFusionOp(
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name="fused_add_rms_norm_static_fp8_quant")
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torch.ops._C_ascend.rms_norm_dynamic_per_token_quant = dummyFusionOp(
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name="rms_norm_dynamic_per_token_quant")
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torch.ops._C_ascend.fused_add_rms_norm = dummyFusionOp(name="fused_add_rms_norm")
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torch.ops._C_ascend.static_scaled_fp8_quant = dummyFusionOp(name="static_scaled_fp8_quant")
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torch.ops._C_ascend.dynamic_scaled_fp8_quant = dummyFusionOp(name="dynamic_scaled_fp8_quant")
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torch.ops._C_ascend.dynamic_per_token_scaled_fp8_quant = dummyFusionOp(name="dynamic_per_token_scaled_fp8_quant")
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torch.ops._C_ascend.rms_norm_static_fp8_quant = dummyFusionOp(name="rms_norm_static_fp8_quant")
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torch.ops._C_ascend.fused_add_rms_norm_static_fp8_quant = dummyFusionOp(name="fused_add_rms_norm_static_fp8_quant")
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torch.ops._C_ascend.rms_norm_dynamic_per_token_quant = dummyFusionOp(name="rms_norm_dynamic_per_token_quant")
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__all__ = [
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"AscendQuickGELU", "AscendSiluAndMul", "AscendRotaryEmbedding",
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"AscendDeepseekScalingRotaryEmbedding"
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]
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__all__ = ["AscendQuickGELU", "AscendSiluAndMul", "AscendRotaryEmbedding", "AscendDeepseekScalingRotaryEmbedding"]
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