Comments (6)
Not sure what happens.. Can you use "top" to check computer memory usage? Also you can add printing commands in train.lua to monitor training status.
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Turned out that it was the 'testLogger:plot()' that terminated training process. After the training accuracy and testing accuracy are plotted into "test.log" at the 3rd epoch, "train.lua" stops. I commented out writing to '' test.log" and it went fine so far.
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Weird! I am facing the same problem @shuait. What was the problem that was causing this for you? and Is there any work around?
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what causes this problem? can any one give some explanations?
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I kinda of figure out the bug. You may change this from = 'false'
to =false
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@eriche2016
thanks! I've updated the script.
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Related Issues (12)
- where is the mlpconv layers
- Mean Accuracy or total Accuracy?
- May I ask where's the code for the multi-resolution MVCNN HOT 1
- Keras Version?
- Requirement for the trained parameters HOT 2
- Code that do azimuth and elevation rotation on the Modelnet dataset ? HOT 1
- At test time, trying to average the predictions using votting approaches
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- Hi, can you give the default pool_layer_idx about other 4 modules ?
- what kind of data i should use if i want to test the model i trained?
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