[Feature] implement eagle spec decoding for model runner v2 (#5840)
### What this PR does / why we need it? this pr implement eagle spec decoding for model runner v2, please see RFC https://github.com/vllm-project/vllm-ascend/issues/5208 ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? vLLM version: v0.13.0 --------- Signed-off-by: Ronald1995 <ronaldautomobile@163.com>
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@@ -1,4 +1,5 @@
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import vllm.model_executor.layers.mamba.ops.causal_conv1d
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import vllm.v1.worker.gpu.sample.gumbel
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from vllm_ascend.ops.triton.fla.chunk import chunk_gated_delta_rule
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from vllm_ascend.ops.triton.fla.layernorm_guard import LayerNormFn
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@@ -6,9 +7,12 @@ from vllm_ascend.ops.triton.fla.sigmoid_gating import \
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fused_recurrent_gated_delta_rule_fwd_kernel
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from vllm_ascend.ops.triton.mamba.causal_conv1d import (
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causal_conv1d_fn, causal_conv1d_update_npu)
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from vllm_ascend.worker.v2.sample.gumbel import \
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gumbel_sample as ascend_gumbel_sample
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vllm.model_executor.layers.mamba.ops.causal_conv1d.causal_conv1d_update = causal_conv1d_update_npu
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vllm.model_executor.layers.mamba.ops.causal_conv1d.causal_conv1d_fn = causal_conv1d_fn
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vllm.model_executor.layers.fla.ops.fused_recurrent.fused_recurrent_gated_delta_rule_fwd_kernel = fused_recurrent_gated_delta_rule_fwd_kernel
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vllm.model_executor.layers.fla.ops.layernorm_guard.LayerNormFn = LayerNormFn
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vllm.model_executor.layers.fla.ops.chunk_gated_delta_rule = chunk_gated_delta_rule
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vllm.v1.worker.gpu.sample.gumbel.gumbel_sample = ascend_gumbel_sample
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