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I have wrote the deeplda in pytorch. When it comes to test moudle, classification method confused me a lot. I want to use one to rest method in mulit classification. It seems that your classification …
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title.
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System information
OS Platform and Distribution: Docker-nvidia(2.0.0a0-gpu-py3)
TensorFlow version: '2.0.0-alpha0'
Python version: 3.5.2
CUDA/cuDNN version: 10.0
Hello I'm trying the [Code]…
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when first shape of L2Normalization data > 65536 and using mulit-gpus, then it will give errors like this(single gpu training is ok):
![image](https://user-images.githubusercontent.com/5860892/29511…
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@glingyan I was doing some work on building a version with MKLML and discovered that mxnet python api doesn't seem to be working with MKL2017_ML turned on. Please make sure the python unit-testing is …
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When training on multi nodes, trainers on all nodes train a pass together. But trainers on each node get DataBatch from DataProvider independently, how do they know which part of the whole data should…
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I follow [Distributed TensorFlow](https://www.tensorflow.org/versions/r0.9/how_tos/distributed/index.html#distributed-tensorflow) to try the distributed version of tensorflow, my code is [here](https…
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Hi all,
I have some trouble when accessing NDArray, I have a NDArray which store multi-labels for my data,
``` python
>>> import mxnet as mx
>>> label=mx.nd.array([[0,0],[0,1],[1,0]])
>>> label1,…