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Unverified Commit 38216cf0 authored by Albert's avatar Albert Committed by GitHub
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concurrently load weights of DeepseekV2ForCausalLM (#7943) 


Signed-off-by: default avatarTianyu Zhou <albert.zty@antgroup.com>
parent 4a883795
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Showing with 148 additions and 127 deletions
python/sglang/srt/models/deepseek_v2.py
View file @ 38216cf0
......@@ -16,6 +16,7 @@
# https://github.com/vllm-project/vllm/blob/fb6af8bc086328ca6659e72d11ffd4309ce4de22/vllm/model_executor/models/deepseek_v2.py
"""Inference-only DeepseekV2 model."""
import concurrent.futures
import logging
import os
from enum import IntEnum, auto
......@@ -2436,6 +2437,8 @@ class DeepseekV2ForCausalLM(nn.Module):
assert self.num_fused_shared_experts == 1
log_info_on_rank0(logger, "Shared experts fusion optimization enabled.")
with concurrent.futures.ThreadPoolExecutor() as executor:
futures = []
params_dict = dict(self.named_parameters())
weight_names = []
for name, loaded_weight in weights:
......@@ -2496,7 +2499,9 @@ class DeepseekV2ForCausalLM(nn.Module):
continue
param = params_dict[name]
weight_loader = param.weight_loader
weight_loader(param, loaded_weight, shard_id)
futures.append(
executor.submit(weight_loader, param, loaded_weight, shard_id)
)
break
else:
for mapping in expert_params_mapping:
......@@ -2506,13 +2511,16 @@ class DeepseekV2ForCausalLM(nn.Module):
name = name.replace(weight_name, param_name)
param = params_dict[name]
weight_loader = param.weight_loader
weight_loader(
futures.append(
executor.submit(
weight_loader,
param,
loaded_weight,
name,
shard_id=shard_id,
expert_id=expert_id,
)
)
break
else:
# Skip loading extra bias for GPTQ models.
......@@ -2550,10 +2558,13 @@ class DeepseekV2ForCausalLM(nn.Module):
[q_a_proj_weight, kv_a_proj_weight], dim=cat_dim
)
param_name = (
name.replace("q_a_proj", "fused_qkv_a_proj_with_mqa")
name.replace(
"q_a_proj", "fused_qkv_a_proj_with_mqa"
)
if "q_a_proj" in name
else name.replace(
"kv_a_proj_with_mqa", "fused_qkv_a_proj_with_mqa"
"kv_a_proj_with_mqa",
"fused_qkv_a_proj_with_mqa",
)
)
param = params_dict[param_name]
......@@ -2561,7 +2572,9 @@ class DeepseekV2ForCausalLM(nn.Module):
weight_loader = getattr(
param, "weight_loader", default_weight_loader
)
weight_loader(param, fused_weight)
futures.append(
executor.submit(weight_loader, param, fused_weight)
)
cached_a_proj.pop(q_a_proj_name)
cached_a_proj.pop(kv_a_proj_name)
else:
......@@ -2571,7 +2584,9 @@ class DeepseekV2ForCausalLM(nn.Module):
# modelopt attn kv scale is named differently
for scale in ["k_scale", "v_scale"]:
if scale in name:
name = name.replace(f"{scale[0]}_proj", "attn_mqa")
name = name.replace(
f"{scale[0]}_proj", "attn_mqa"
)
break
if name not in params_dict:
# modelopt ckpt contains not needed weights for MTP module:
......@@ -2583,7 +2598,13 @@ class DeepseekV2ForCausalLM(nn.Module):
weight_loader = getattr(
param, "weight_loader", default_weight_loader
)
weight_loader(param, loaded_weight)
futures.append(
executor.submit(weight_loader, param, loaded_weight)
)
# Wait for all tasks to complete and raise any exceptions.
for future in concurrent.futures.as_completed(futures):
future.result()
self.post_load_weights(is_nextn=is_nextn, weight_names=weight_names)
......
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