preprocessing_num_workers参数含义 preprocessor symbols Boost 是个庞然大物,也许很多人已经把它用得很顺了,不过它包含的两个库 MPL 和 Preprocessor 应该大部分人都不会熟悉。 MPL 是用来进行模版元编程的工具,它将一些对象的推导工作做了抽象,可以把类型放入容器,在编译期实现一些很神奇的功能。 Preprocessor 为预...
Reminder I have read the README and searched the existing issues. Reproduction 求大佬们帮忙看下这个问题: 问题描述: 在slurm上多机多卡进行sft处理数据集时只要preprocessing_num_workers > 1, 程序就会卡在 /LLaMA-Factory/src/llmtuner/train/sft/workflow.py的这一
num_proc=self.data_args.preprocessing_num_workers, desc="Removing redandant columns", )if self.preprocessing_func is not None: raw_dataset = self.map( raw_dataset, function=self.preprocessing_func, batched=False, remove_columns=self.remove_columns, ...
获取shape import tensorflow as tf tensor = tf.placeholder(dtype=tf.float32, shape=[200, 200, ...
num_pepper = np.ceil(amount * X_img_copy.size * (1.0- salt_vs_pepper))# Add Salt noisecoords = [np.random.randint(0, i -1, int(num_salt))foriinX_img.shape] X_img[coords[0], coords[1], :] =1# Add Pepper noisecoords = [np.random.randint(0, i -1, int(num_pepper))fo...
Fix Version/s:None Affects Version/s:None Component/s:Server (S) Labels: None Hello, I have a Zabbix Server 3.4.15 compiled from source After 10-15 minutes from start, zabbix server stops and I see in the logs: 14816:20181203:164945.014 cannot connect to preprocessing service: Cannot conne...
def main(folder: str, rank: int, world_size: int, num_workers: int, language: str): global RANK_STRif num_workers > 1 and world_size != num_workers: RANK_STR = "[Master] " logger.info(f"{RANK_STR}Spawning {num_workers} workers")visible...
set -x for num in $(seq -w 01 24); do INDEX=$(echo $num | sed 's/^0*//') python3 1_combine_datas.py --loop_index $INDEX & if (( $INDEX % 5 == 0 )); then sleep 110m; fi done(a single process uses up to 33G of memory)Locations for already split files: detiled ...
NUM_CLASSES=2 MAX_SENTENCES=16 # Batch size. CUDA_VISIBLE_DEVICES=0 python train.py RTE-bin/ \ --restore-file <roberta_large_absolute_path> \ --max-positions 512 \ --max-sentences $MAX_SENTENCES \ --max-tokens 4400 \ --task sentence_prediction \ --reset-optimizer --reset-dataloader...
( EXPR = binning.method, 'equal_width' = num.bin, 'equal_frequency' = c( -1, quantile( x = feature.mean[feature.mean > 0], probs = seq.int(from = 0, to = 1, length.out = num.bin) ) ), stop("Unknown binning method: ", binning.method) ) data.x.bin <- cut(x = ...