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pre-commit-ci[bot] 2025-07-09 03:34:37 +00:00
parent 509274c47e
commit 5acd2190e6
5 changed files with 10 additions and 11 deletions
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4
applications/ColossalChat/coati/distributed/comm.py
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@ -1,5 +1,6 @@
from typing import Any, Dict
import copy
from typing import Any, Dict
import ray
import ray.util.collective as cc
import torch
@ -31,6 +32,7 @@ def ray_broadcast_object(obj: Any, src: int = 0, device=None, group_name: str =
obj = c10d._tensor_to_object(obj, size_tensor.item())
return obj
def ray_broadcast_tensor_dict(
tensor_dict: Dict[str, torch.Tensor],
src: int = 0,

5
applications/ColossalChat/coati/distributed/zero_bubble/consumer.py
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@ -7,7 +7,9 @@ import ray
import ray.util.collective as cc
import torch
import torch.distributed as dist
from coati.distributed.comm import SharedVariableActor, ray_broadcast_tensor_dict
from coati.distributed.profiling_utils import CustomProfiler
from coati.distributed.utils import bind_batch, post_recv, unbind_batch
from tqdm import tqdm
from colossalai.booster import Booster
@ -15,9 +17,6 @@ from colossalai.booster.plugin import HybridParallelPlugin
from colossalai.initialize import launch
from colossalai.utils import get_current_device
from coati.distributed.comm import SharedVariableActor, ray_broadcast_tensor_dict
from coati.distributed.utils import bind_batch, post_recv, unbind_batch
class BaseConsumer:
def __init__(

3
applications/ColossalChat/coati/distributed/zero_bubble/distributor.py
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@ -3,12 +3,11 @@ import time
import ray
import ray.util.collective as cc
import torch
from coati.distributed.comm import SharedVariableActor, ray_broadcast_tensor_dict
from coati.distributed.profiling_utils import CustomProfiler
from colossalai.utils import get_current_device
from coati.distributed.comm import SharedVariableActor, ray_broadcast_tensor_dict
@ray.remote
class Distributor:

2
applications/ColossalChat/coati/distributed/zero_bubble/grpo_consumer.py
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@ -5,9 +5,9 @@ import ray
import torch
import wandb
from coati.distributed.comm import SharedVariableActor
from coati.distributed.zero_bubble.consumer import BaseConsumer
from coati.distributed.loss import PolicyLoss
from coati.distributed.utils import memory_efficient_logprob
from coati.distributed.zero_bubble.consumer import BaseConsumer
from coati.trainer.utils import all_reduce_mean, all_reduce_sum
from transformers import AutoModelForCausalLM, AutoTokenizer

7
applications/ColossalChat/coati/distributed/zero_bubble/producer.py
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@ -11,9 +11,12 @@ import torch
import tqdm
import wandb
from coati.dataset.loader import RawConversationDataset, collate_fn_grpo
from coati.distributed.comm import SharedVariableActor, ray_broadcast_tensor_dict
from coati.distributed.inference_backend import BACKEND_MAP
from coati.distributed.profiling_utils import CustomProfiler
from coati.distributed.reward.reward_fn import boxed_math_reward_fn, code_reward_fn, math_reward_fn
from coati.distributed.reward.verifiable_reward import VerifiableReward
from coati.distributed.utils import pre_send, safe_append_to_jsonl_file
from ray.util.collective import allreduce
from ray.util.collective.types import ReduceOp
from torch.utils.data import DataLoader, DistributedSampler
@ -21,10 +24,6 @@ from transformers import AutoTokenizer
from colossalai.utils import get_current_device
from coati.distributed.comm import SharedVariableActor, ray_broadcast_tensor_dict
from coati.distributed.inference_backend import BACKEND_MAP
from coati.distributed.utils import pre_send, safe_append_to_jsonl_file
try:
from vllm import SamplingParams
except ImportError: