Skip to content

  • 体验新版
    • 正在加载...
  • 登录
  • PaddlePaddle
  • models
  • Issue
  • #4797

M
models
  • 项目概览

PaddlePaddle / models
大约 2 年 前同步成功

通知 232
Star 6828
Fork 2962
  • 代码
    • 文件
    • 提交
    • 分支
    • Tags
    • 贡献者
    • 分支图
    • Diff
  • Issue 602
    • 列表
    • 看板
    • 标记
    • 里程碑
  • 合并请求 255
  • Wiki 0
    • Wiki
  • 分析
    • 仓库
    • DevOps
  • 项目成员
  • Pages
M
models
  • 项目概览
    • 项目概览
    • 详情
    • 发布
  • 仓库
    • 仓库
    • 文件
    • 提交
    • 分支
    • 标签
    • 贡献者
    • 分支图
    • 比较
  • Issue 602
    • Issue 602
    • 列表
    • 看板
    • 标记
    • 里程碑
  • 合并请求 255
    • 合并请求 255
  • Pages
  • 分析
    • 分析
    • 仓库分析
    • DevOps
  • Wiki 0
    • Wiki
  • 成员
    • 成员
  • 收起侧边栏
  • 动态
  • 分支图
  • 创建新Issue
  • 提交
  • Issue看板
已关闭
开放中
Opened 8月 10, 2020 by saxon_zh@saxon_zhGuest

[百度之星大赛]细分类微调时的bug

Created by: zky001

图片 训练了八千多轮 又遇到了一样的问题!

训练的问题: [2020-08-10 11:33:10] trainbatch 8020, lr 0.000050, loss 0.178964, time 0.08 sec [2020-08-10 11:34:00] trainbatch 8030, lr 0.000050, loss 0.168911, time 0.10 sec [2020-08-10 11:34:49] trainbatch 8040, lr 0.000050, loss 0.192038, time 0.10 sec [2020-08-10 11:35:41] trainbatch 8050, lr 0.000050, loss 0.196493, time 0.08 sec [2020-08-10 11:36:30] trainbatch 8060, lr 0.000050, loss 0.191304, time 0.08 sec [2020-08-10 11:37:18] trainbatch 8070, lr 0.000050, loss 0.193833, time 0.08 sec [2020-08-10 11:38:10] trainbatch 8080, lr 0.000050, loss 0.189738, time 0.08 sec [2020-08-10 11:39:00] trainbatch 8090, lr 0.000050, loss 0.204269, time 0.08 sec [2020-08-10 11:39:52] trainbatch 8100, lr 0.000050, loss 0.195286, time 0.09 sec 2020-08-10 11:40:16,391-WARNING: Your reader has raised an exception! Traceback (most recent call last): File "train_pair.py", line 238, in main() File "train_pair.py", line 234, in main Exception in thread Thread-1: Traceback (most recent call last): File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/threading.py", line 926, in _bootstrap_inner self.run() File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/threading.py", line 870, in run self._target(*self._args, **self._kwargs) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/reader.py", line 1156, in thread_main six.reraise(*sys.exc_info()) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/six.py", line 703, in reraise raise value File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/reader.py", line 1136, in thread_main for tensors in self._tensor_reader(): File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/data_feeder.py", line 203, in call yield self._done() File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/data_feeder.py", line 191, in _done return [c.done() for c in self.converters] File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/data_feeder.py", line 191, in return [c.done() for c in self.converters] File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/data_feeder.py", line 156, in done arr = np.array(self.data, dtype=self.dtype) ValueError: could not broadcast input array from shape (3,64,64) into shape (3)

train_async(args)

File "train_pair.py", line 187, in train_async for train_batch in train_loader(): File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/reader.py", line 1102, in next return self._reader.read_next() paddle.fluid.core_avx.EnforceNotMet:


C++ Call Stacks (More useful to developers):

0 std::string paddle::platform::GetTraceBackString<std::string const&>(std::string const&, char const*, int) 1 paddle::platform::EnforceNotMet::EnforceNotMet(std::string const&, char const*, int) 2 paddle::operators::reader::BlockingQueue<std::vector<paddle::framework::LoDTensor, std::allocatorpaddle::framework::LoDTensor > >::Receive(std::vector<paddle::framework::LoDTensor, std::allocatorpaddle::framework::LoDTensor >) 3 paddle::operators::reader::PyReader::ReadNext(std::vector<paddle::framework::LoDTensor, std::allocatorpaddle::framework::LoDTensor >) 4 std::_Function_handler<std::unique_ptr<std::__future_base::_Result_base, std::__future_base::_Result_base::_Deleter> (), std::__future_base::_Task_setter<std::unique_ptr<std::__future_base::_Result, std::__future_base::_Result_base::_Deleter>, unsigned long> >::_M_invoke(std::_Any_data const&) 5 std::__future_base::_State_base::_M_do_set(std::function<std::unique_ptr<std::__future_base::_Result_base, std::__future_base::_Result_base::_Deleter> ()>&, bool&) 6 ThreadPool::ThreadPool(unsigned long)::{lambda()#1 (closed)}::operator()() const


Error Message Summary:

Error: Blocking queue is killed because the data reader raises an exception [Hint: Expected killed_ != true, but received killed_:1 == true:1.] at (/paddle/paddle/fluid/operators/reader/blocking_queue.h:141)

指派人
分配到
无
里程碑
无
分配里程碑
工时统计
无
截止日期
无
标识: paddlepaddle/models#4797
渝ICP备2023009037号

京公网安备11010502055752号

网络110报警服务 Powered by GitLab CE v13.7
开源知识
Git 入门 Pro Git 电子书 在线学 Git
Markdown 基础入门 IT 技术知识开源图谱
帮助
使用手册 反馈建议 博客
《GitCode 隐私声明》 《GitCode 服务条款》 关于GitCode
Powered by GitLab CE v13.7