mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-05 16:48:03 +08:00
[BugFix] fix multinode deployment (#2977)
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@@ -6,7 +6,6 @@
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#dist_init_ip
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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@@ -27,7 +26,6 @@ from fastdeploy.utils import (
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ceil_div,
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check_unified_ckpt,
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get_host_ip,
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get_random_port,
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is_port_available,
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llm_logger,
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)
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@@ -644,9 +642,7 @@ class Config:
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max_model_len: int = 8192,
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max_num_seqs: int = 8,
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max_num_batched_tokens: Optional[int] = None,
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dist_init_ip: str = None,
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nnodes: int = 1,
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node_rank: int = 0,
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ips: str = None,
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speculative_config: Optional[Dict[str, Any]] = None,
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graph_optimization_config: Optional[Dict[str, Any]] = None,
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use_warmup: bool = False,
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@@ -701,15 +697,25 @@ class Config:
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self.tokenizer = tokenizer
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self.max_num_batched_tokens = max_num_batched_tokens
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self.tensor_parallel_size = tensor_parallel_size
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self.dist_init_ip = dist_init_ip
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self.ips = ips
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self.nnode = nnodes
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self.node_rank = node_rank
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if self.dist_init_ip is None:
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if self.ips is None:
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self.master_ip = "0.0.0.0"
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elif isinstance(self.ips, list):
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self.master_ip = self.ips[0]
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else:
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self.master_ip = self.dist_init_ip
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self.dist_init_addr = f"{self.dist_init_ip}:{get_random_port()}"
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self.ips = self.ips.split(",")
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self.master_ip = self.ips[0]
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if self.ips is None:
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self.nnode = 1
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self.node_rank = 0
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else:
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self.nnode = len(self.ips)
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for idx, ip in enumerate(self.ips):
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if ip == self.master_ip:
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self.node_rank = idx
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self.max_model_len = max_model_len
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self.max_num_seqs = max_num_seqs
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@@ -773,14 +779,11 @@ class Config:
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self.device_ids.split(",").__len__() == self.worker_num_per_node
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), f"invalid CUDA_VISIBLE_DEVICES, should be equal to {self.worker_num_per_node}"
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assert (
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self.worker_num_per_node % self.tensor_parallel_size == 0
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), f"tensor_parallel_size: {self.tensor_parallel_size} should be divisible by worker_num_per_node: {self.worker_num_per_node}"
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self.local_device_ids = self.device_ids.split(",")[: self.tensor_parallel_size]
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self.host_ip = get_host_ip()
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if self.dist_init_ip is None or self.host_ip == self.master_ip:
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if self.ips is None or self.host_ip == self.master_ip:
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self.is_master = True
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else:
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self.is_master = False
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@@ -817,9 +820,6 @@ class Config:
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assert is_port_available(
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"0.0.0.0", self.engine_worker_queue_port
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), f"The parameter `engine_worker_queue_port`:{self.engine_worker_queue_port} is already in use."
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assert (
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self.max_chips_per_node >= self.tensor_parallel_size > 0
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), f"tensor_parallel_size: {self.tensor_parallel_size} should be between 1 and {self.max_chips_per_node}"
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assert self.nnode >= 1, f"nnode: {self.nnode} should no less than 1"
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assert self.max_model_len >= 16, f"max_model_len: {self.max_model_len} should be larger than 16"
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assert self.max_num_seqs >= 1, f"max_num_seqs: {self.max_num_seqs} should be larger than 1"
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