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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