[trainer] feat: add mindspeedmm backend engine support on NPU.support Qwen3.5-27B、Qwen3.5-35B #6199
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,130 @@ | ||
| ray stop --force | ||
| ps -aux | grep "VLLM" | grep -v grep| awk '{print $2}' | xargs kill -9 | pkill -9 python | ||
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| # Mindspeed-MM fsdp config | ||
| export NON_MEGATRON=true | ||
| export MULTI_STREAM_MEMORY_REUSE=2 | ||
| export OMP_NUM_THREADS=1 | ||
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| project_name='GRPO-Qwen3_5' | ||
| exp_name='GRPO-Qwen3_5-27B' | ||
| gen_tp=8 | ||
| sp_size=1 | ||
| RAY_DATA_HOME=${RAY_DATA_HOME:-"${HOME}/verl"} | ||
| MODEL_PATH=${MODEL_PATH:-"${RAY_DATA_HOME}/models/Qwen3.5-27B"} | ||
| DCP_MODEL_PATH=${MODEL_PATH:-"${RAY_DATA_HOME}/models/Qwen3.5-27B-DCP"} | ||
| CKPTS_DIR=${CKPTS_DIR:-"${RAY_DATA_HOME}/ckpts/${project_name}/${exp_name}"} | ||
| TRAIN_FILE=${TRAIN_FILE:-"${RAY_DATA_HOME}/data/geo3k/train.parquet"} | ||
| TEST_FILE=${TEST_FILE:-"${RAY_DATA_HOME}/data/geo3k/test.parquet"} | ||
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| start_time=$(date +%Y%m%d)_$(date +%H%M%S) | ||
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| DATA_CONFIG=( | ||
| data.train_files="${TRAIN_FILE}" | ||
| data.val_files="${TEST_FILE}" | ||
| data.train_batch_size=64 | ||
| data.max_prompt_length=1024 | ||
| data.max_response_length=2048 | ||
| data.filter_overlong_prompts=True | ||
| data.truncation='error' | ||
| data.shuffle=False | ||
| data.image_key=images | ||
| ) | ||
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| TRAINER_CONFIG=( | ||
| trainer.critic_warmup=0 | ||
| trainer.logger=['console'] | ||
| trainer.project_name="${project_name}" | ||
| trainer.experiment_name="${exp_name}" | ||
| trainer.n_gpus_per_node=16 | ||
| trainer.nnodes=1 | ||
| trainer.resume_from_path=checkpoints/ | ||
| trainer.save_freq=-1 | ||
| trainer.test_freq=-1 | ||
| trainer.val_before_train=False | ||
| trainer.total_epochs=10 | ||
| ) | ||
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| MODEL_CONFIG=( | ||
| actor_rollout_ref.model.path=${MODEL_PATH} | ||
| actor_rollout_ref.model.use_remove_padding=True | ||
| actor_rollout_ref.model.enable_gradient_checkpointing=True | ||
| ) | ||
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| ACTOR_CONFIG=( | ||
| actor_rollout_ref.actor.optim.lr=1e-6 | ||
| actor_rollout_ref.actor.optim.lr_decay_style=constant | ||
| actor_rollout_ref.actor.optim.lr_warmup_ratio=-1 | ||
| actor_rollout_ref.actor.optim.weight_decay=0.01 | ||
| actor_rollout_ref.actor.optim.clip_grad=1.0 | ||
| actor_rollout_ref.actor.optim.optimizer=adamw | ||
| actor_rollout_ref.actor.ppo_mini_batch_size=16 | ||
| actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=1 | ||
| actor_rollout_ref.actor.use_kl_loss=True | ||
| actor_rollout_ref.actor.entropy_coeff=0 | ||
| actor_rollout_ref.actor.kl_loss_coef=0.01 | ||
| actor_rollout_ref.actor.kl_loss_type=low_var_kl | ||
| actor_rollout_ref.actor.use_torch_compile=False | ||
| ) | ||
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| ROLLOUT_CONFIG=( | ||
| actor_rollout_ref.rollout.enable_chunked_prefill=True | ||
| actor_rollout_ref.rollout.max_num_batched_tokens=32768 | ||
| actor_rollout_ref.rollout.max_model_len=32768 | ||
| actor_rollout_ref.rollout.free_cache_engine=True | ||
| actor_rollout_ref.rollout.enforce_eager=False | ||
| actor_rollout_ref.rollout.enable_prefix_caching=False | ||
| actor_rollout_ref.rollout.checkpoint_engine.update_weights_bucket_megabytes=8192 | ||
| actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=1 | ||
| actor_rollout_ref.rollout.tensor_model_parallel_size=${gen_tp} | ||
| actor_rollout_ref.rollout.name=vllm | ||
| actor_rollout_ref.rollout.gpu_memory_utilization=0.7 | ||
| actor_rollout_ref.rollout.n=5 | ||
| +actor_rollout_ref.rollout.engine_kwargs.vllm.compilation_config.cudagraph_mode="FULL_DECODE_ONLY" | ||
| +actor_rollout_ref.rollout.engine_kwargs.vllm.compilation_config.cudagraph_capture_sizes="[4,8,12,16,24,32,48,56,64]" | ||
| ) | ||
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| MINDSPEED_CONFIG=( | ||
| actor_rollout_ref.actor.mindspeed.strategy=mindspeed_fsdp | ||
| actor_rollout_ref.actor.mindspeed.model_name=qwen3.5-27b | ||
| +actor_rollout_ref.actor.mindspeed.fsdp_kwargs.training.load=${DCP_MODEL_PATH} | ||
| +actor_rollout_ref.actor.mindspeed.fsdp_kwargs.training.plugin='[mindspeed_mm/fsdp/models/qwen3_5, mindspeed_mm/fsdp/data/datasets/huggingface]' | ||
| +actor_rollout_ref.actor.mindspeed.fsdp_kwargs.model.model_id=qwen3_5 | ||
| +actor_rollout_ref.actor.mindspeed.fsdp_kwargs.model.use_triton_gdn=True | ||
| +actor_rollout_ref.actor.mindspeed.fsdp_kwargs.model.freeze='[model.visual]' | ||
| +actor_rollout_ref.actor.mindspeed.fsdp_kwargs.parallel.fsdp_plan.apply_modules="['model.visual.blocks.{*}', \ | ||
| 'model.visual', 'model.language_model.layers.{*}', 'model.language_model.embed_tokens', 'model.language_model', 'lm_head']" | ||
| +actor_rollout_ref.actor.mindspeed.fsdp_kwargs.parallel.recompute=True | ||
| +actor_rollout_ref.actor.mindspeed.fsdp_kwargs.parallel.recompute_plan.apply_modules="['model.language_model.layers.{*}']" | ||
| actor_rollout_ref.actor.mindspeed.ulysses_sequence_parallel_size=$sp_size | ||
| actor_rollout_ref.ref.mindspeed.ulysses_sequence_parallel_size=$sp_size | ||
| actor_rollout_ref.actor.mindspeed.param_offload=True | ||
| actor_rollout_ref.actor.mindspeed.optimizer_offload=True | ||
| actor_rollout_ref.actor.mindspeed.offload_policy=True | ||
| actor_rollout_ref.ref.mindspeed.param_offload=True | ||
| actor_rollout_ref.ref.mindspeed.offload_policy=True | ||
| ) | ||
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| REF_CONFIG=( | ||
| actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=1 | ||
| actor_rollout_ref.ref.use_torch_compile=False | ||
| actor_rollout_ref.ref.optim.optimizer=adamw | ||
| ) | ||
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| mkdir -p logs | ||
| python3 -m verl.trainer.main_ppo \ | ||
| --config-path=config \ | ||
| --config-name='ppo_trainer.yaml' \ | ||
| model_engine=mindspeed \ | ||
| algorithm.adv_estimator=grpo \ | ||
| "${DATA_CONFIG[@]}" \ | ||
| "${MODEL_CONFIG[@]}" \ | ||
| "${ACTOR_CONFIG[@]}" \ | ||
| "${REF_CONFIG[@]}" \ | ||
| "${ROLLOUT_CONFIG[@]}" \ | ||
| "${MINDSPEED_CONFIG[@]}" \ | ||
| "${TRAINER_CONFIG[@]}" \ | ||
| algorithm.use_kl_in_reward=False \ | ||
| $@ 2>&1 | tee logs/qwen3_5-27b-${start_time}.log |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,136 @@ | ||
| ray stop --force | ||
| ps -aux | grep "VLLM" | grep -v grep| awk '{print $2}' | xargs kill -9 | pkill -9 python | ||
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| export NON_MEGATRON=true | ||
| export MULTI_STREAM_MEMORY_REUSE=2 | ||
| export OMP_NUM_THREADS=1 | ||
| export PYTORCH_NPU_ALLOC_CONF=garbage_collection_threshold:0.85 | ||
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| project_name='GRPO-Qwen3_5' | ||
| exp_name='GRPO-Qwen3_5-35b-npu' | ||
| gen_tp=8 | ||
| RAY_DATA_HOME=${RAY_DATA_HOME:-"${HOME}/verl"} | ||
| MODEL_PATH=${MODEL_PATH:-"${RAY_DATA_HOME}/models/Qwen3.5-35B-A3B"} | ||
| DCP_MODEL_PATH=${MODEL_PATH:-"${RAY_DATA_HOME}/models/Qwen3.5-35B-A3B-DCP"} | ||
| CKPTS_DIR=${CKPTS_DIR:-"${RAY_DATA_HOME}/ckpts/${project_name}/${exp_name}"} | ||
| TRAIN_FILE=${TRAIN_FILE:-"${RAY_DATA_HOME}/data/geo3k/train.parquet"} | ||
| TEST_FILE=${TEST_FILE:-"${RAY_DATA_HOME}/data/geo3k/test.parquet"} | ||
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| start_time=$(date +%Y%m%d)_$(date +%H%M%S) | ||
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| DATA_CONFIG=( | ||
| data.train_files="${TRAIN_FILE}" | ||
| data.val_files="${TEST_FILE}" | ||
| data.train_batch_size=16 | ||
| data.max_prompt_length=1024 | ||
| data.max_response_length=2048 | ||
| data.filter_overlong_prompts=True | ||
| data.truncation='error' | ||
| data.image_key=images | ||
| data.shuffle=False | ||
| ) | ||
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| TRAINER_CONFIG=( | ||
| trainer.critic_warmup=0 | ||
| trainer.logger=['console','tensorboard'] | ||
| trainer.project_name="${project_name}" | ||
| trainer.experiment_name="${exp_name}" | ||
| trainer.n_gpus_per_node=16 | ||
| trainer.nnodes=1 | ||
| trainer.balance_batch=False | ||
| trainer.resume_from_path=checkpoints | ||
| trainer.save_freq=-1 | ||
| trainer.test_freq=-1 | ||
| trainer.val_before_train=False | ||
| trainer.use_legacy_worker_impl=disable | ||
| trainer.total_epochs=10 | ||
| ) | ||
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| MODEL_CONFIG=( | ||
| actor_rollout_ref.model.path=${MODEL_PATH} | ||
| actor_rollout_ref.model.use_remove_padding=True | ||
| actor_rollout_ref.model.enable_gradient_checkpointing=True | ||
| ) | ||
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| ACTOR_CONFIG=( | ||
| actor_rollout_ref.actor.optim.lr=1e-6 | ||
| actor_rollout_ref.actor.ppo_mini_batch_size=16 | ||
| actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=1 | ||
| actor_rollout_ref.actor.use_kl_loss=True | ||
| actor_rollout_ref.actor.entropy_coeff=0 | ||
| actor_rollout_ref.actor.kl_loss_coef=0.01 | ||
| actor_rollout_ref.actor.kl_loss_type=low_var_kl | ||
| actor_rollout_ref.actor.strategy=fsdp2 | ||
| actor_rollout_ref.actor.use_dynamic_bsz=False | ||
| actor_rollout_ref.actor.use_torch_compile=False | ||
| ) | ||
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| ROLLOUT_CONFIG=( | ||
| actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=1 | ||
| actor_rollout_ref.rollout.tensor_model_parallel_size=${gen_tp} | ||
| +actor_rollout_ref.rollout.engine_kwargs.vllm.compilation_config.cudagraph_mode="FULL_DECODE_ONLY" | ||
| actor_rollout_ref.rollout.name=vllm | ||
| actor_rollout_ref.rollout.ignore_eos=False | ||
| actor_rollout_ref.rollout.gpu_memory_utilization=0.6 | ||
| actor_rollout_ref.rollout.n=1 | ||
| actor_rollout_ref.rollout.enable_chunked_prefill=True | ||
| actor_rollout_ref.rollout.max_num_batched_tokens=8192 | ||
| actor_rollout_ref.rollout.free_cache_engine=True | ||
| actor_rollout_ref.rollout.enforce_eager=False | ||
| actor_rollout_ref.rollout.enable_prefix_caching=False | ||
| actor_rollout_ref.rollout.checkpoint_engine.update_weights_bucket_megabytes=6144 | ||
| +actor_rollout_ref.rollout.engine_kwargs.vllm.compilation_config.cudagraph_capture_sizes="[4,8,12,16,24,32,48,56,64]" | ||
| ) | ||
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| MINDSPEED_CONFIG=( | ||
| actor_rollout_ref.actor.mindspeed.strategy=mindspeed_fsdp | ||
| actor_rollout_ref.actor.mindspeed.model_name=qwen3.5-35b | ||
| +actor_rollout_ref.actor.mindspeed.fsdp_kwargs.training.load=${DCP_MODEL_PATH} | ||
| +actor_rollout_ref.actor.mindspeed.fsdp_kwargs.training.plugin='[mindspeed_mm/fsdp/models/qwen3_5_moe, mindspeed_mm/fsdp/data/datasets/huggingface]' | ||
| +actor_rollout_ref.actor.mindspeed.fsdp_kwargs.model.model_id=qwen3_5_moe | ||
| +actor_rollout_ref.actor.mindspeed.fsdp_kwargs.model.use_triton_gdn=True | ||
| +actor_rollout_ref.actor.mindspeed.fsdp_kwargs.model.freeze='[model.visual]' | ||
| +actor_rollout_ref.actor.mindspeed.fsdp_kwargs.parallel.fsdp_plan.apply_modules="['model.visual.blocks.{*}', \ | ||
| 'model.visual', 'model.language_model.layers.{*}.linear_attn', 'model.language_model.layers.{*}.mlp', 'model.language_model.layers.{*}', \ | ||
| 'model.language_model.embed_tokens', 'model.language_model.norm', 'model.language_model.rotary_emb', 'model.language_model', 'lm_head']" | ||
| +actor_rollout_ref.actor.mindspeed.fsdp_kwargs.parallel.recompute=True | ||
| +actor_rollout_ref.actor.mindspeed.fsdp_kwargs.parallel.recompute_plan.apply_modules="['model.language_model.layers.{*}', 'model.visual.blocks.{*}']" | ||
| +actor_rollout_ref.actor.mindspeed.fsdp_kwargs.parallel.hook_modules="['model.language_model.layers.{*}']" | ||
| +actor_rollout_ref.actor.mindspeed.fsdp_kwargs.parallel.ep_plan.apply_modules="['model.language_model.layers.{*}.mlp.experts']" | ||
| actor_rollout_ref.actor.mindspeed.reshard_after_forward=True | ||
| actor_rollout_ref.actor.mindspeed.ulysses_sequence_parallel_size=1 | ||
| actor_rollout_ref.ref.mindspeed.ulysses_sequence_parallel_size=1 | ||
| actor_rollout_ref.ref.mindspeed.reshard_after_forward=True | ||
| actor_rollout_ref.actor.mindspeed.entropy_from_logits_with_chunking=True | ||
| actor_rollout_ref.ref.mindspeed.entropy_from_logits_with_chunking=True | ||
| actor_rollout_ref.ref.mindspeed.wrap_policy.min_num_params=0 | ||
| actor_rollout_ref.actor.mindspeed.offload_policy=True | ||
| actor_rollout_ref.ref.mindspeed.offload_policy=True | ||
| actor_rollout_ref.actor.mindspeed.param_offload=True | ||
| actor_rollout_ref.actor.mindspeed.optimizer_offload=True | ||
| actor_rollout_ref.ref.mindspeed.param_offload=True | ||
| ) | ||
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| REF_CONFIG=( | ||
| actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=1 | ||
| actor_rollout_ref.ref.use_torch_compile=False | ||
| ) | ||
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| mkdir -p logs | ||
| python3 -m verl.trainer.main_ppo \ | ||
| --config-path=config \ | ||
| --config-name='ppo_trainer.yaml' \ | ||
| model_engine=mindspeed \ | ||
| algorithm.adv_estimator=grpo \ | ||
| algorithm.use_kl_in_reward=False \ | ||
| "${DATA_CONFIG[@]}" \ | ||
| "${MODEL_CONFIG[@]}" \ | ||
| "${ACTOR_CONFIG[@]}" \ | ||
| "${REF_CONFIG[@]}" \ | ||
| "${ROLLOUT_CONFIG[@]}" \ | ||
| "${MINDSPEED_CONFIG[@]}" \ | ||
| "${TRAINER_CONFIG[@]}" \ | ||
| critic.strategy=fsdp2 \ | ||
| $@ 2>&1 | tee logs/qwen3_5-35b-${start_time}.log |
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| Original file line number | Diff line number | Diff line change | ||||
|---|---|---|---|---|---|---|
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@@ -143,20 +143,22 @@ ACTOR_CONFIG=( | |||||
| actor_rollout_ref.actor.mindspeed.use_mbridge=True | ||||||
| actor_rollout_ref.actor.mindspeed.vanilla_mbridge=True | ||||||
| # Transformer Architecture Optimizations | ||||||
| actor_rollout_ref.actor.mindspeed.strategy=minspeed_megatron | ||||||
|
Contributor
There was a problem hiding this comment. Typo in strategy name:
Suggested change
References
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| actor_rollout_ref.actor.mindspeed.model_name=qwen3-moe-30b | ||||||
| actor_rollout_ref.actor.mindspeed.mcore_kwargs.spec='[mindspeed_llm.tasks.models.spec.qwen3_spec, layer_spec]' | ||||||
| actor_rollout_ref.actor.mindspeed.mcore_kwargs.seq_length=${max_model_len} | ||||||
| actor_rollout_ref.actor.mindspeed.mcore_kwargs.micro_batch_size=${micro_batch_size} | ||||||
| +actor_rollout_ref.actor.mindspeed.mcore_kwargs.num_query_groups=4 | ||||||
| +actor_rollout_ref.actor.mindspeed.mcore_kwargs.recompute_method=uniform | ||||||
| +actor_rollout_ref.actor.mindspeed.mcore_kwargs.recompute_granularity=full | ||||||
| +actor_rollout_ref.actor.mindspeed.mcore_kwargs.recompute_num_layers=1 | ||||||
| # MOE | ||||||
| +actor_rollout_ref.actor.mindspeed.mcore_kwargs.moe_router_load_balancing_type=aux_loss | ||||||
| +actor_rollout_ref.actor.mindspeed.mcore_kwargs.moe_permutation_async_comm=True | ||||||
| +actor_rollout_ref.actor.mindspeed.mcore_kwargs.moe_token_dispatcher_type=alltoall | ||||||
| +actor_rollout_ref.actor.mindspeed.mcore_kwargs.moe_aux_loss_coeff=0.001 | ||||||
| +actor_rollout_ref.actor.mindspeed.mcore_kwargs.moe_grouped_gemm=True | ||||||
| +actor_rollout_ref.actor.mindspeed.mcore_kwargs.fix_router=True | ||||||
| ) | ||||||
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| REF_CONFIG=( | ||||||
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| Original file line number | Diff line number | Diff line change | ||||
|---|---|---|---|---|---|---|
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@@ -114,15 +114,17 @@ ACTOR_CONFIG=( | |||||
| actor_rollout_ref.actor.mindspeed.use_mbridge=True | ||||||
| actor_rollout_ref.actor.mindspeed.vanilla_mbridge=True | ||||||
| # Transformer Architecture Optimizations | ||||||
| actor_rollout_ref.actor.mindspeed.strategy=minspeed_megatron | ||||||
|
Contributor
There was a problem hiding this comment. Typo in strategy name:
Suggested change
References
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| actor_rollout_ref.actor.mindspeed.model_name=qwen3-8b | ||||||
| actor_rollout_ref.actor.mindspeed.mcore_kwargs.spec='[mindspeed_llm.tasks.models.spec.qwen3_spec, layer_spec]' | ||||||
| actor_rollout_ref.actor.mindspeed.mcore_kwargs.seq_length=${max_model_len} | ||||||
| actor_rollout_ref.actor.mindspeed.mcore_kwargs.micro_batch_size=${micro_batch_size} | ||||||
| +actor_rollout_ref.actor.mindspeed.mcore_kwargs.num_query_groups=8 | ||||||
| +actor_rollout_ref.actor.mindspeed.mcore_kwargs.recompute_method=uniform | ||||||
| +actor_rollout_ref.actor.mindspeed.mcore_kwargs.recompute_granularity=full | ||||||
| +actor_rollout_ref.actor.mindspeed.mcore_kwargs.recompute_num_layers=1 | ||||||
| +actor_rollout_ref.actor.mindspeed.mcore_kwargs.overlap_grad_reduce=True | ||||||
| +actor_rollout_ref.actor.mindspeed.mcore_kwargs.overlap_param_gather=True | ||||||
| ) | ||||||
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| REF_CONFIG=( | ||||||
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Typo in strategy name:
minspeed_megatronshould bemindspeed_megatron. This will cause an assertion failure inMindSpeedEngineConfig.__post_init__. Additionally, use+as the prefix for overriding configuration values in Hydra.References