tensor_model_parallel_size) # 当前rank持有的部分vocab的大小 self.num_embeddings_per_partition = self.vocab_end_index - \ self.vocab_start_index args = get_args() # embedding层添加LayerNorm if mpu.is_pipeline_first_stage() and (args.use_bnb_optimizer or args.embed_layernorm): self.norm...
根据您提供的错误信息，问题出在megatron_util.mpu模块中没有找到get_model_parallel_rank属性。这可能是...
(1)初始化全局变量:首先,mpu模块会初始化一系列全局变量,用于表示当前GPU的并行组信息,如_TENSOR_MODEL_PARALLEL_GROUP、_PIPELINE_MODEL_PARALLEL_GROUP等。 (2)计算并行组:基于用户设置的流水线并行度和张量并行度,mpu模块会计算出各个GPU所属的并行组。例如,Rank0和Rank4、Rank8、Rank12将属于同一个流水线并行...
# Use both the tensor and pipeline MP rank. if pipeline_parallel is None: pipeline_parallel = (core.get_pipeline_model_parallel_world_size() > 1) pipeline_parallel = (mpu.get_pipeline_model_parallel_world_size() > 1) if tensor_rank is None: tensor_rank = core.get_tensor_model_parall...
简介:运行ZhipuAI/Multilingual-GLM-Summarization-zh的官方代码范例时,报错AttributeError: MGLMTextSummarizationPipeline: module 'megatron_util.mpu' has no attribute 'get_model_parallel_rank'环境是基于ModelScope官方docker镜像,尝试了各个版本结果都是一样的。
if pipeline_parallel is None: pipeline_parallel = (mpu.get_pipeline_model_parallel_world_size() > 1) pipeline_parallel = (core.get_pipeline_model_parallel_world_size() > 1) if tensor_rank is None: tensor_rank = mpu.get_tensor_model_parallel_rank() tensor_rank = core.get_tensor_model...