chrishkchris edited a comment on issue #468: Distributted module URL: https://github.com/apache/incubator-singa/pull/468#issuecomment-527812086 I have combined all the commits into two commits. Meanwhile, I found that the resnet.py is not compatible with the master branch modified "Add" function with broadcasting (https://github.com/apache/incubator-singa/pull/522). Get the error ( assert(len(self.shape0) <= 2 and len(self.shape1) <= 2),"up till now, the dimensions of tensor a and b should less than 3" AssertionError: up till now, the dimensions of tensor a and b should less than 3) Since in resnet we used "out = autograd.add(out, residual)", the input to the add function should have a dimension more than 2 (typically there are four dimensions for feature maps: batch, depth/channel, width, height), the assert function should return always false and hence assertion error
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