# 开启0号GPU训练 use_gpu = True paddle.device.set_device('gpu:0') if use_gpu else paddle.device.set_device('cpu') 1. 2. 3. 4. 5. 6. 7. 如果看到代码没报错,有如下字样,则代表设备初始化成功,库的导入成功啦!
: 在paddle下指定第一张GPU的命令为paddle.device.set_device('GPU:0') AI解析 重新 最新 【单】如果将人眼比作照相机的话,则相当于暗盒的是( )。 查看题目与答案 【单】道德是人类社会生活中依据社会舆论、( )和内心信念,以善恶评价为标准的意识、规范、行为和活动的总称。 查看题目与答案 ...
1 paddle::platform::EnforceNotMet::EnforceNotMet(std::__exception_ptr::exception_ptr, char const*, int) 2 paddle::platform::SetDeviceId(int) 3 paddle::AnalysisConfig::fraction_of_gpu_memory_for_pool() const 4 std::unique_ptr<paddle::PaddlePredictor, std::default_deletepaddle::PaddlePredi...
import paddle # 设置使用GPU paddle.device.set_device("gpu:0") from paddle.vision.transforms import Normalize from paddle.vision.datasets import MNIST from paddle.vision.models import LeNet import numpy as np # ### 拉取数据集 transform = Normalize(mean=[127.5], std=[127.5], data_format="CH...
place = paddle.set_device('gpu' if cfg.use_gpu else 'cpu') # 是否采用同步BN if 'norm_type' in cfg and cfg['norm_type'] == 'sync_bn' and not cfg.use_gpu: cfg['norm_type'] = 'bn' #slim_config配置 if FLAGS.slim_config: cfg = build_slim_model(cfg, FLAGS.slim_config, mod...
conda install paddlepaddle-gpu==3.0.0b1 paddlepaddle-cuda=12.3 -c paddle -c nvidia 我在4070上即使降低机器的cuda的版本也没法运行成功,最后只能升级paddlepaddle-gpu。 问题2: W0812 10:38:31.533855 8368 gpu_resources.cc:119] Please NOTE: device: 0, GPU Compute Capability: 8.9, Driver API Version...
('paddle_sbert_loger',log_level=10,log_file='./log_output/pawsx_sbert_paddle.log').logger paddle.set_device('gpu:0') def parse_args(): parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter) parser.add_argument("--max_len",type=int,default=64) parser.add...
prepare_validation_features from functools import partial import paddle from paddlenlp.data import DataCollatorWithPadding import argparse from utils import evaluate from paddlenlp.transformers import AutoModelForQuestionAnswering paddle.device.set_device('gpu:2') # 设置gpu卡 # 初始化训练参数 parser = ...
Hi! We've received your issue and please be patient to get responded. We will arrange ...
cudaSetDevice failed in paddle::platform::SetDeviced, error code : 3, Please see detail in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html#group__CUDART__TYPES_1g3f51e3575c2178246db0a94a430e0038: initialization error at (/paddle/paddle/fluid/platform/gpu_info.cc...