Amazon web services 正确的参数用于培训AWS Sagemaker,每个图像有多个类

Amazon web services 正确的参数用于培训AWS Sagemaker,每个图像有多个类,amazon-web-services,amazon-sagemaker,Amazon Web Services,Amazon Sagemaker,我一致发现,对于图像分类作业,multi_label为1时,会出现以下错误: Algorithm Error: Internal Server Error [15:56:08] /opt/brazil-pkg-cache/packages/MXNetECL/MXNetECL-master.657.0/AL2012/generic-flavor/src/src/operator/custom/custom.cc:418: Check failed: reinterpret_cast<Cust

我一致发现,对于图像分类作业,multi_label为1时,会出现以下错误:

Algorithm Error: Internal Server Error
[15:56:08] /opt/brazil-pkg-cache/packages/MXNetECL/MXNetECL-master.657.0/AL2012/generic-flavor/src/src/operator/custom/custom.cc:418: Check failed: reinterpret_cast<CustomOpFBFunc>(params.info->callbacks[kCustomOpBackward])( ptrs.size(), const_cast<void**>(ptrs.data()), const_cast<int*>(tags.data()), reinterpret_cast<const int*>(req.data()), static_cast<int>(ctx.is_train), params.info->contexts[kC
15:56:08 Stack trace returned 7 entries:
15:56:08 [bt] (0) /opt/amazon/lib/libaialgsdataiter.so(dmlc::StackTrace()+0x3d) [0x7f85e19f179d]
15:56:08 [bt] (1) /opt/amazon/lib/libaialgsdataiter.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x1a) [0x7f85e19f1a3a] 
15:56:08 [bt] (2) /opt/amazon/lib/libmxnet.so(+0x26da8fd) [0x7f85d0edb8fd]
15:56:08 [bt] (3) /opt/amazon/lib/libmxnet.so(std::thread::_Impl<std::_Bind_simple<mxnet::op::custom::CustomOperator::CustomOperator()::{lambda()#1} ()> >::_M_run()+0x12f) [0x7f85d0ede0ef]
15:56:08 [bt] (4) /opt/amazon/lib/libstdc++.so.6(+0xce440) [0x7f85cc9ea440]
15:56:08 [bt] (5) /lib64/libpthread.so.0(+0x7dc5) [0x7f85e31e1dc5]
15:56:08 [bt] (6) /lib64/libc.so.6(clone+0x6d) [0x7f85e25de6ed]
15:56:08 Algorithm Error: Internal Server Error

根据我对文档的理解,这个参数应该允许您为每个图像分配多个标记-是否有技巧使其工作,或者调试这些堆栈跟踪

哦,那太难看了。。。你能分享让我们重现错误的代码吗?完整的日志也很有用。很高兴代表您提出支持票


Julien AWS

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