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...
training import get_model @@ -90,10 +90,10 @@ def forward_step(batch, model, eval_metric): send_forward(output) if mpu.is_pipeline_last_stage(): if parallel_state.is_pipeline_last_stage(): # For loss, return the unreduced loss. if eval_metric == 'loss': losses = mpu.tensor_...
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。 运行ZhipuAI/Multilingual-GLM-Summarization-zh的官方代...