megatron.legacy.model.GPTModel]:# 这里主要展示使用Transformer Engine的代码逻辑,因为会有更多融合算子use_te=args.transformer_impl=="transformer_engine"print_rank_0('building GPT model ...')config=core_transformer_config_from_args(args)# 获取模型配置transformer_layer_spec=get_gpt_layer_with_transforme...
config = core_transformer_config_from_yaml(args, "language_model") else: config = core_transformer_config_from_args(args) if args.use_legacy_models: #如果 args.use_legacy_models 为 True,则构建旧版的 GPT 模型。 model = megatron.legacy.model.GPTModel( config, num_tokentypes=0, parallel_ou...
Megatron comes in all shapes... AND SIZES! Mini Energon Megatron can whizz around and cause some havoc in his alt mode. He even includes the Armada tank accessory!!! Comes new in sealed package!
if args.use_mcore_models:if args.use_legacy_models: model = megatron.legacy.model.GPTModel( config, num_tokentypes=0, parallel_output=False, pre_process=pre_process, post_process=post_process ) else: if args.spec is None: if args.transformer_impl == 'local':...
python tools/checkpoint/convert.py \ > --model-type GPT \ > --loader legacy \ > --load-dir ${LEGACY_FORMAT_DIR} \ > --saver core \ > --save-dir ${CORE_FORMAT_DIR} \ > --target-tensor-parallel-size ${TP} \ > --target-pipeline-parallel-size ${PP} \ For examples of conv...
if args.use_mcore_models:if args.use_legacy_models: model = megatron.legacy.model.GPTModel( config, num_tokentypes=0, parallel_output=False, pre_process=pre_process, post_process=post_process ) else: if args.spec is None: if args.transformer_impl == 'local':...
python tools/checkpoint/convert.py \ > --model-type GPT \ > --loader legacy \ > --load-dir ${LEGACY_FORMAT_DIR} \ > --saver core \ > --save-dir ${CORE_FORMAT_DIR} \ > --target-tensor-parallel-size ${TP} \ > --target-pipeline-parallel-size ${PP} \ For examples of conv...
model_provider()函数返回的模型有两种,一种是 megatron.legacy.model.GPTModel,即不使用megatron core;另一种是基于 megatron core 的模型,即 GPTModel(),这里我们只讨论 GPTModel()。 GPTModel() 的 transformer 层的代码实现主要依靠的是 transformer_layer_spec 参数,针对使用和不使用transformer engine 有一定的...
model = megatron.legacy.model.GPTModel( config, num_tokentypes=0, parallel_output=True, pre_process=pre_process, post_process=post_process, ) else: # using core models 基于megatron core 的model 实现 if args.spec is not None: transformer_layer_spec = import_module(args.spec) else: if ...
Megatron-LM由NVIDIA开发,用来训练Transformer模型,专攻张量并行和流水并行。 Microsoft开发的DeepSpeed,专攻零冗余优化器(ZeRO)和CPU卸载(CPU-offload)。 2、megatron-LM 源码分析 2.1 入口 pretrain()方法 2.2 初始化 /megatron/initialize.py:初始化分布式环境。 /megatron/core/parallel_state.py:设置/获取/判断每个...