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2 changes: 1 addition & 1 deletion scripts/performance/configs/qwen/qwen3_llm_pretrain.py
Original file line number Diff line number Diff line change
Expand Up @@ -312,7 +312,7 @@ def qwen3_30b_a3b_pretrain_config_h100(
cfg.mixed_precision = precision_config
cfg.comm_overlap = CommOverlapConfig(tp_comm_overlap=True)
cfg.model.moe_flex_dispatcher_backend = base_cfg.moe_flex_dispatcher_backend
cfg.model.moe_token_dispatcher_type = "alltoall"
cfg.model.moe_token_dispatcher_type = "flex"

set_qwen3_common_configs(cfg)
set_workload_base_configs(cfg, base_cfg)
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14 changes: 6 additions & 8 deletions scripts/performance/configs/qwen/qwen3_workload_base_configs.py
Original file line number Diff line number Diff line change
Expand Up @@ -411,23 +411,21 @@
BASE_QWEN3_30B_A3B_CONFIG,
num_gpus=16,
global_batch_size=1024,
pipeline_model_parallel_size=2,
virtual_pipeline_model_parallel_size=12,
moe_a2a_overlap=True,
expert_model_parallel_size=16,
moe_a2a_overlap=False,
cuda_graph_impl="transformer_engine",
cuda_graph_scope=["moe_router", "moe_preprocess"],
moe_flex_dispatcher_backend="deepep",
moe_flex_dispatcher_backend="hybridep",
)


QWEN3_30B_A3B_PRETRAIN_CONFIG_H100_FP8_CS_V1 = replace(
BASE_QWEN3_30B_A3B_CONFIG,
num_gpus=16,
global_batch_size=1024,
pipeline_model_parallel_size=2,
virtual_pipeline_model_parallel_size=12,
moe_a2a_overlap=True,
moe_flex_dispatcher_backend="deepep",
expert_model_parallel_size=16,
moe_a2a_overlap=False,
moe_flex_dispatcher_backend="hybridep",
)


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