@@ -16,15 +16,21 @@
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#
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import torch
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from vllm.triton_utils import HAS_TRITON
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import vllm_ascend.ops.common_fused_moe # noqa
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import vllm_ascend.ops.fused_moe # noqa
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import vllm_ascend.ops.fused_moe.fused_moe # noqa
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import vllm_ascend.ops.layernorm # noqa
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import vllm_ascend.ops.register_custom_ops # noqa
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if HAS_TRITON:
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import vllm_ascend.ops.triton.linearnorm.split_qkv_rmsnorm_rope # noqa
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import vllm_ascend.ops.triton.linearnorm.split_qkv_rmsnorm_mrope
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import vllm_ascend.ops.triton.linearnorm.split_qkv_tp_rmsnorm_rope
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import vllm_ascend.ops.triton.linearnorm.split_qkv_rmsnorm_rope_simt
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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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@@ -36,23 +42,13 @@ 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(
|
||||
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")
|
||||
torch.ops._C_ascend.rms_norm_dynamic_per_token_quant = dummyFusionOp(
|
||||
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")
|
||||
torch.ops._C_ascend.static_scaled_fp8_quant = dummyFusionOp(name="static_scaled_fp8_quant")
|
||||
torch.ops._C_ascend.dynamic_scaled_fp8_quant = dummyFusionOp(name="dynamic_scaled_fp8_quant")
|
||||
torch.ops._C_ascend.dynamic_per_token_scaled_fp8_quant = dummyFusionOp(name="dynamic_per_token_scaled_fp8_quant")
|
||||
torch.ops._C_ascend.rms_norm_static_fp8_quant = dummyFusionOp(name="rms_norm_static_fp8_quant")
|
||||
torch.ops._C_ascend.fused_add_rms_norm_static_fp8_quant = dummyFusionOp(name="fused_add_rms_norm_static_fp8_quant")
|
||||
torch.ops._C_ascend.rms_norm_dynamic_per_token_quant = dummyFusionOp(name="rms_norm_dynamic_per_token_quant")
|
||||
|
||||
|
||||
__all__ = [
|
||||
"AscendQuickGELU", "AscendSiluAndMul", "AscendRotaryEmbedding",
|
||||
"AscendDeepseekScalingRotaryEmbedding"
|
||||
]
|
||||
__all__ = ["AscendQuickGELU", "AscendSiluAndMul", "AscendRotaryEmbedding", "AscendDeepseekScalingRotaryEmbedding"]
|
||||
|
||||
Reference in New Issue
Block a user