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dmlc / minpy

NumPy interface with mixed backend execution
https://minpy.readthedocs.io/en/latest/
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programe running problem with the Adding Problem #150

Closed countback closed 7 years ago

countback commented 7 years ago

Running the code in the RNN tutorial, when I run the RNN code for the adding problem, I can see the output information during the training, the CPU share of this moment is 1500%, when I run the code of LSTM and GRU(also for adding problem), there is no output information during the training process, and the CPU share now is just 100%.

I think I have installed correctly nimpy. since I run the code given in the file "example" without problem, Thanks a lot

jermainewang commented 7 years ago

@lryta could run the example?

lryta commented 7 years ago

@DingkunLong I checked the code on the documentation website and it should work. I uploaded a file for you (file). By the way, please use engine branch of MXNet (git checkout engine && git submodule update) and minpy >=0.3.2.

Please reopen the issue if the problem still exist.