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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/07/11 04:16:07 UTC
[GitHub] Ericargus opened a new issue #11640: write a new operator by myself
Ericargus opened a new issue #11640: write a new operator by myself
URL: https://github.com/apache/incubator-mxnet/issues/11640
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## Description
(Brief description of the problem in no more than 2 sentences.)
I write a new operator ,(following by official operator),i cp it to src and rebuild mxnet, everything is fine.but when i run the python code,the error says Backward is not implemented.I don't know where is wrong.
## Environment info (Required)
mxnet 1.3.0
ubuntu 16.04
python 3.5
```
What to do:
1. Download the diagnosis script from https://raw.githubusercontent.com/apache/incubator-mxnet/master/tools/diagnose.py
2. Run the script using `python diagnose.py` and paste its output here.
src/operator/nn/./cudnn/./cudnn_algoreg-inl.h:107: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)
Traceback (most recent call last):
File "train_end2end.py", line 202, in <module>
main()
File "train_end2end.py", line 199, in main
lr=args.lr, lr_step=args.lr_step)
File "train_end2end.py", line 161, in train_net
arg_params=arg_params, aux_params=aux_params, begin_epoch=begin_epoch, num_epoch=end_epoch)
File "/usr/local/lib/python3.5/dist-packages/mxnet-1.3.0-py3.5.egg/mxnet/module/base_module.py", line 529, in fit
self.update_metric(eval_metric, data_batch.label)
File "/home/zxyu/rcnn/rcnn/core/module.py", line 227, in update_metric
self._curr_module.update_metric(eval_metric, labels)
File "/usr/local/lib/python3.5/dist-packages/mxnet-1.3.0-py3.5.egg/mxnet/module/module.py", line 772, in update_metric
self._exec_group.update_metric(eval_metric, labels, pre_sliced)
File "/usr/local/lib/python3.5/dist-packages/mxnet-1.3.0-py3.5.egg/mxnet/module/executor_group.py", line 639, in update_metric
eval_metric.update_dict(labels_, preds)
File "/usr/local/lib/python3.5/dist-packages/mxnet-1.3.0-py3.5.egg/mxnet/metric.py", line 304, in update_dict
metric.update_dict(labels, preds)
File "/usr/local/lib/python3.5/dist-packages/mxnet-1.3.0-py3.5.egg/mxnet/metric.py", line 132, in update_dict
self.update(label, pred)
File "/home/zxyu/rcnn/rcnn/core/metric.py", line 51, in update
pred_label = mx.ndarray.argmax_channel(pred).asnumpy().astype('int32')
File "/usr/local/lib/python3.5/dist-packages/mxnet-1.3.0-py3.5.egg/mxnet/ndarray/ndarray.py", line 1910, in asnumpy
ctypes.c_size_t(data.size)))
File "/usr/local/lib/python3.5/dist-packages/mxnet-1.3.0-py3.5.egg/mxnet/base.py", line 210, in check_call
raise MXNetError(py_str(_LIB.MXGetLastError()))
mxnet.base.MXNetError: [12:15:16] include/mxnet/operator.h:110: Backward is not implemented
Stack trace returned 10 entries:
[bt] (0) /usr/local/lib/python3.5/dist-packages/mxnet-1.3.0-py3.5.egg/mxnet/libmxnet.so(dmlc::StackTrace[abi:cxx11]()+0x5b) [0x7f37abf6e98b]
[bt] (1) /usr/local/lib/python3.5/dist-packages/mxnet-1.3.0-py3.5.egg/mxnet/libmxnet.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x28) [0x7f37abf6f4f8]
[bt] (2) /usr/local/lib/python3.5/dist-packages/mxnet-1.3.0-py3.5.egg/mxnet/libmxnet.so(mxnet::op::OperatorState::Backward(mxnet::OpContext const&, std::vector<mxnet::TBlob, std::allocator<mxnet::TBlob> > const&, std::vector<mxnet::OpReqType, std::allocator<mxnet::OpReqType> > const&, std::vector<mxnet::TBlob, std::allocator<mxnet::TBlob> > const&)+0x2ec) [0x7f37ae5e086c]
[bt] (3) /usr/local/lib/python3.5/dist-packages/mxnet-1.3.0-py3.5.egg/mxnet/libmxnet.so(mxnet::exec::StatefulComputeExecutor::Run(mxnet::RunContext, bool)+0x59) [0x7f37aec95d89]
[bt] (4) /usr/local/lib/python3.5/dist-packages/mxnet-1.3.0-py3.5.egg/mxnet/libmxnet.so(+0x39514f3) [0x7f37aec674f3]
[bt] (5) /usr/local/lib/python3.5/dist-packages/mxnet-1.3.0-py3.5.egg/mxnet/libmxnet.so(mxnet::engine::ThreadedEngine::ExecuteOprBlock(mxnet::RunContext, mxnet::engine::OprBlock*)+0x8e5) [0x7f37aebbd0f5]
[bt] (6) /usr/local/lib/python3.5/dist-packages/mxnet-1.3.0-py3.5.egg/mxnet/libmxnet.so(void mxnet::engine::ThreadedEnginePerDevice::GPUWorker<(dmlc::ConcurrentQueueType)0>(mxnet::Context, bool, mxnet::engine::ThreadedEnginePerDevice::ThreadWorkerBlock<(dmlc::ConcurrentQueueType)0>*, std::shared_ptr<dmlc::ManualEvent> const&)+0xeb) [0x7f37aebd41fb]
[bt] (7) /usr/local/lib/python3.5/dist-packages/mxnet-1.3.0-py3.5.egg/mxnet/libmxnet.so(std::_Function_handler<void (std::shared_ptr<dmlc::ManualEvent>), mxnet::engine::ThreadedEnginePerDevice::PushToExecute(mxnet::engine::OprBlock*, bool)::{lambda()#3}::operator()() const::{lambda(std::shared_ptr<dmlc::ManualEvent>)#1}>::_M_invoke(std::_Any_data const&, std::shared_ptr<dmlc::ManualEvent>&&)+0x4e) [0x7f37aebd446e]
[bt] (8) /usr/local/lib/python3.5/dist-packages/mxnet-1.3.0-py3.5.egg/mxnet/libmxnet.so(std::thread::_Impl<std::_Bind_simple<std::function<void (std::shared_ptr<dmlc::ManualEvent>)> (std::shared_ptr<dmlc::ManualEvent>)> >::_M_run()+0x4a) [0x7f37aebbc6fa]
[bt] (9) /usr/lib/x86_64-linux-gnu/libstdc++.so.6(+0xb8c80) [0x7f377c544c80]
```
Package used (Python/R/Scala/Julia):
(I'm using ...)python
For Scala user, please provide:
1. Java version: (`java -version`)
2. Maven version: (`mvn -version`)
3. Scala runtime if applicable: (`scala -version`)
For R user, please provide R `sessionInfo()`:
## Build info (Required if built from source)
Compiler (gcc/clang/mingw/visual studio):
MXNet commit hash:
(Paste the output of `git rev-parse HEAD` here.)
Build config:
(Paste the content of config.mk, or the build command.)
## Error Message:
(Paste the complete error message, including stack trace.)
## Minimum reproducible example
(If you are using your own code, please provide a short script that reproduces the error. Otherwise, please provide link to the existing example.)
## Steps to reproduce
(Paste the commands you ran that produced the error.)
1.
2.
## What have you tried to solve it?
1.
2.
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