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[feat] support fa3 backend for pd disaggregated (#2695)
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* support fa3 backend run in pd disaggregated

* support fa3 backend run in pd disaggregated

* support fa3 backend run in pd disaggregated

* support fa3 backend run in pd disaggregated

* delete use_fast_ffn
This commit is contained in:
Yuanle Liu
2025-07-03 22:33:27 +08:00
committed by GitHub
parent 00863c43fd
commit 240bdac2a4
26 changed files with 455 additions and 139 deletions
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18
fastdeploy/spec_decode/mtp.py
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@@ -90,7 +90,8 @@ class MTPProposer(Proposer):
self.model = get_model_from_loader(self.cfg)
def dummy_prefill_inputs(self, num_tokens: int, batch_size: int, expected_decode_len: int):
def dummy_prefill_inputs(self, num_tokens: int, batch_size: int,
expected_decode_len: int):
"""Set dummy prefill inputs to model_inputs"""
max_dec_len = expected_decode_len + 1
self.num_gpu_blocks = self.parallel_config.max_block_num
@@ -130,10 +131,10 @@ class MTPProposer(Proposer):
self.cache_kvs = {}
cache_type = self.parallel_config.dtype
if (self.quant_config and
hasattr(self.quant_config, "kv_cache_quant_type") and
self.quant_config.kv_cache_quant_type is not None):
if (self.quant_config
and hasattr(self.quant_config, "kv_cache_quant_type")
and self.quant_config.kv_cache_quant_type is not None):
cache_type = 'uint8'
# Get kv cache shape
@@ -190,8 +191,7 @@ class MTPProposer(Proposer):
head_dim = self.model_config.head_dim
# Get the attention backend
attn_cls = get_attention_backend(
self.parallel_config.attention_backend)
attn_cls = get_attention_backend()
attn_backend = attn_cls(
self.cfg,
kv_num_heads=self.model_config.kv_num_heads,
@@ -200,8 +200,8 @@ class MTPProposer(Proposer):
)
if attn_backend is None:
raise NotImplementedError(
f"{ self.parallel_config.attention_backend} attention backend"
" is not support by GPUModelRunner")
"Attention backend which you specified is not supported, please set FD_ATTENTION_BACKEND correctly."
)
self.attn_backends.append(attn_backend)
def clear_dummy_input(self):