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From GitBox <...@apache.org>
Subject [GitHub] [singa] nudles commented on issue #651: Add new example APIs
Date Mon, 06 Apr 2020 03:20:58 GMT
nudles commented on issue #651: Add new example APIs
URL: https://github.com/apache/singa/pull/651#issuecomment-609545036
 
 
   > 
   > 
   > > can we run (cnn|resnet|xceptionnet) + (cifar10|mnist) ?
   > > I think we can also add the mlp model?
   > > then we can remove resnet_module.py, mlp_module.py
   > 
   > There are 4 points, I guess the issue most difficult to solve is the no.1 below
   > 
   >     1. xceptionnet has some problem, the running stopped after 1 epoch, maybe the
model has some issues. And this model is very large I can only run batch size=16 (not 32)
   what is the error? if you put it on colab, we can debug together.
   > 
   >     2. The current mlp is 2d input, which is not CNN problem which has 4d input (batch,
channel/RGB, height, width). Maybe need to change to 4d
   when we load the data, pass an argument to specify the dimension (is_2d=True/False).
   then reshape the data according to the argument inside the `load_data` function.
   > 
   >     3. The CNN has only one input channel, in order to support cifar10, maybe I need
to adjust the number of input channel of CNN as variable
   > 
   change the CNN model to accept 4d input
   >     4. mnist is not RGB, so I has only one colour channel, if I used it for resnet
I can see if:
   >        (i) change the input channel of resnet to a variable so it support 1 channel
   >        (ii) replicate one channel of mnist dataset to three
   
   reshape it into 4d inside the `load_data` function.
   

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