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1faccd4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 | # Copyright 2025 Bytedance Ltd. and/or its affiliates
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
from omegaconf import OmegaConf
from verl.workers.fsdp_workers import ActorRolloutRefWorker
def test_actor_rollout_ref_worker_actor_ref_model():
"""Test specifying different reference/actor model"""
os.environ["RANK"] = "0"
os.environ["WORLD_SIZE"] = "1"
os.environ["MASTER_ADDR"] = "127.0.0.1"
os.environ["MASTER_PORT"] = "8888"
actor_model_path = os.path.expanduser("~/models/Qwen/Qwen2.5-0.5B-Instruct")
ref_model_path = os.path.expanduser("~/models/Qwen/Qwen2.5-1.5B-Instruct")
config_str = f"""
model:
path: {actor_model_path}
actor:
_target_: verl.workers.config.FSDPActorConfig
strategy: fsdp
fsdp_config:
_target_: verl.workers.config.FSDPEngineConfig
fsdp_size: -1
forward_prefetch: false
profiler:
tool: torch_memory
save_path: ./mem_snapshots
tool_config:
torch_memory:
_target_: verl.utils.profiler.config.TorchMemoryToolConfig
trace_alloc_max_entries: 100000
stack_depth: 32
ref:
model:
path: {ref_model_path}
fsdp_config:
_target_: verl.workers.config.FSDPEngineConfig
fsdp_size: -1
profiler:
tool: torch_memory
save_path: ./mem_snapshots
tool_config:
torch_memory:
_target_: verl.utils.profiler.config.TorchMemoryToolConfig
trace_alloc_max_entries: 100000
stack_depth: 32
log_prob_micro_batch_size: 1
ulysses_sequence_parallel_size: 1
entropy_from_logits_with_chunking: false
"""
dict_conf = OmegaConf.create(config_str)
actor_rollout_ref_worker = ActorRolloutRefWorker(dict_conf, role="ref")
actor_rollout_ref_worker.init_model()
model_config = actor_rollout_ref_worker.ref_module_fsdp._fsdp_wrapped_module.config
assert model_config.hidden_size == 1536
# set ref.model to null, fallback to default case where actor is the same as reference
dict_conf["ref"]["model"] = None
actor_rollout_ref_worker = ActorRolloutRefWorker(dict_conf, role="ref")
actor_rollout_ref_worker.init_model()
model_config = actor_rollout_ref_worker.ref_module_fsdp._fsdp_wrapped_module.config
assert model_config.hidden_size == 896
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