Hi! We've received your issue and please be patient to get responded. We will arrange technician...
首先安装的是PaddlePaddle的GPU版本,如果已经安装过了,请跳过。 conda install paddlepaddle-gpu==2.4.0 cudatoolkit=10.2 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ 1. 安装ppser库。 使用pip安装,命令如下: python -m pip install ppser -U -i https://pypi.tuna.tsinghua.edu...
use_gpu: false epoch_num: 500 #500 log_smooth_window: 20 print_batch_step: 10 save_model_dir: ./output/v3_en_mobile save_epoch_step: 3 eval_batch_step: [0, 20] # [0, 2000] cal_metric_during_train: true pretrained_model: checkpoints: save_inference_dir: use_visualdl: false infe...
draw_img_save_dir='./inference_results', save_crop_res=False, crop_res_save_dir='./output', use_mp=False, total_process_num=1, process_id=0, benchmark=False, save_log_path='./log_output/', show_log=True, use_onnx=False, output='./output', table_max_len=488, table_algorithm...
Checkfailed: op:Error: Thismodelisnotsupported, becauseoperator'feed'isnotsupportedbyPaddle-Lite. 考虑线上版本模型对应PaddleLite v2.10 commit id b427cac010c2b4f303f906f3e35f5eae5539bc28 重新编译,出现编译报错问题。 系统信息: ubuntu-20.04.6cmakeversion3.28.0tpc_c_cpluspluscommitac534fbeedf2eba01f2...
'save_freeze_dir': './freeze-model', 'train_file_list': 'train.txt', 'pretrained': True, 'image_count': 6552, 'pretrained_dir': 'work/Pretrained_Model/ResNet50_pretrained', 'use_gpu': True, 'early_stop': {'good_acc1': 0.86, 'sample_frequency': 50, 'successive_limit': 20},...
Hi! We've received your issue and please be patient to get responded. We will arrange ...
如果最后log打印出Save the optimized model into :XXXsuccessfully代表模型成功转换,而转换faster_rcnn_r50_fpn模型时会出现转换失败报错: F0706 21:26:06.841753 1475 kernel.cc:44] Check failed: type no type registered for kernel [generate_proposals/def] output argument [RpnRoisLod] *** Check failure...
[ 38%] Built target gpu_cpu_map_matmul_to_mul_pass [ 39%] Built target heter_wrapper [ 39%] Built target add_support_int8_pass [ 39%] Built target delete_quant_dequant_op_pass [ 39%] Built target pass_builder [ 39%] Built target timer [ 39%] Built target string_helper [ 39...
本次实验将采用AI Studio实训平台中的免费GPU资源,在平台注册账号后,点击创建项目-选择NoteBook任务,然后添加数据集,如下图所示,完成项目创建。启动环境可以自行选择CPU资源 or GPU资源,创建任务每天有8点免费算力,推荐大家使用GPU资源进行模型训练,这样会大幅减少模型训练时长。 数据集介绍 本次实验使用的数据集是四...