Created by: ai-zml

前几天，一直使用的ai studio平台，也按照PaddleDetection 的使用教程，成功开始训练自己的数据。但从昨天开始，ai studio 环境好像除了点儿问题，先是不能删除文件夹，会提示网络错误、删除失败；再是，模型也不能训练了，一开始训练就报错。尝试以下解决方法：

1、检查PaddlePaddle是否安装正确

 `import_ paddle.fluid as fluid`
 `fluid.install_check.run_check()`
 结果显示正常：
 Running Verify Paddle Program ... 
 Your Paddle works well on SINGLE GPU or CPU.
 Your Paddle works well on MUTIPLE GPU or CPU.
 Your Paddle is installed successfully! Let's start deep Learning with Paddle now

2、测试PaddlePaddle版本：

  `python -c "import paddle; print(paddle.__version__)"`

1.7.1

3、export PYTHONPATH=$PYTHONPATH:.

   `python ppdet/modeling/tests/test_architectures.py`

就出现了下面的错误，前面每次运行模型之前，我都是按着这个步骤，屡试不爽，但是从昨天开始就不对了： ERROR: test_test (main.TestSSD)

Traceback (most recent call last): File "/home/aistudio/work/PaddleDetection/ppdet/modeling/tests/decorator_helper.py", line 29, in fn fn(*args, **kwargs) File "ppdet/modeling/tests/test_architectures.py", line 51, in test_test test_fetches = model.eval(feed_vars) File "/home/aistudio/work/PaddleDetection/ppdet/modeling/architectures/ssd.py", line 130, in eval return self.build(feed_vars, 'eval') File "/home/aistudio/work/PaddleDetection/ppdet/modeling/architectures/ssd.py", line 82, in build inputs=body_feats, image=im, num_classes=self.num_classes) File "/home/aistudio/work/PaddleDetection/ppdet/core/workspace.py", line 150, in partial_apply return op(*args, **kwargs_) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/layers/detection.py", line 2202, in multi_box_head min_max_aspect_ratios_order) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/layers/detection.py", line 1786, in prior_box attrs=attrs, ) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/layer_helper.py", line 43, in append_op return self.main_program.current_block().append_op(*args, **kwargs) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/framework.py", line 2525, in append_op attrs=kwargs.get("attrs", None)) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/framework.py", line 1877, in init self.desc.check_attrs() paddle.fluid.core_avx.EnforceNotMet:

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

0 std::string paddle::platform::GetTraceBackStringstd::string(std::string&&, char const*, int) 1 paddle::platform::EnforceNotMet::EnforceNotMet(paddle::platform::ErrorSummary const&, char const*, int) 2 paddle::framework::ExtractAttribute<std::vector<float, std::allocator > >::operator()(boost::variant<boost::blank, int, float, std::string, std::vector<int, std::allocator >, std::vector<float, std::allocator >, std::vector<std::string, std::allocatorstd::string >, bool, std::vector<bool, std::allocator >, paddle::framework::BlockDesc*, long, std::vector<paddle::framework::BlockDesc*, std::allocatorpaddle::framework::BlockDesc* >, std::vector<long, std::allocator >, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_>&) const 3 std::Function_handler<void (std::unordered_map<std::string, boost::variant<boost::blank, int, float, std::string, std::vector<int, std::allocator >, std::vector<float, std::allocator >, std::vector<std::string, std::allocatorstd::string >, bool, std::vector<bool, std::allocator >, paddle::framework::BlockDesc*, long, std::vector<paddle::framework::BlockDesc*, std::allocatorpaddle::framework::BlockDesc* >, std::vector<long, std::allocator >, boost::detail::variant::void, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_>, std::hashstd::string, std::equal_tostd::string, std::allocator<std::pair<std::string const, boost::variant<boost::blank, int, float, std::string, std::vector<int, std::allocator >, std::vector<float, std::allocator >, std::vector<std::string, std::allocatorstd::string >, bool, std::vector<bool, std::allocator >, paddle::framework::BlockDesc*, long, std::vector<paddle::framework::BlockDesc*, std::allocatorpaddle::framework::BlockDesc* >, std::vector<long, std::allocator >, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_> > > >, bool), paddle::framework::TypedAttrChecker<std::vector<float, std::allocator > > >::_M_invoke(std::_Any_data const&, std::unordered_map<std::string, boost::variant<boost::blank, int, float, std::string, std::vector<int, std::allocator >, std::vector<float, std::allocator >, std::vector<std::string, std::allocatorstd::string >, bool, std::vector<bool, std::allocator >, paddle::framework::BlockDesc, long, std::vector<paddle::framework::BlockDesc*, std::allocatorpaddle::framework::BlockDesc* >, std::vector<long, std::allocator >, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_>, std::hashstd::string, std::equal_tostd::string, std::allocator<std::pair<std::string const, boost::variant<boost::blank, int, float, std::string, std::vector<int, std::allocator >, std::vector<float, std::allocator >, std::vector<std::string, std::allocatorstd::string >, bool, std::vector<bool, std::allocator >, paddle::framework::BlockDesc*, long, std::vector<paddle::framework::BlockDesc*, std::allocatorpaddle::framework::BlockDesc* >, std::vector<long, std::allocator >, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_> > > >*, bool) 4 paddle::framework::OpDesc::CheckAttrs()

Error Message Summary:

Error: Cannot get attribute max_sizes by type std::vector<float, std::allocator >, its type is std::vector<int, std::allocator > at (/paddle/paddle/fluid/framework/attribute.h:42)

阴霾挥之不去，很是苦恼 请问这个可以怎么解决呢？非常感谢