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Subject [GitHub] [incubator-singa] chrishkchris edited a comment on issue #468: Distributted module
Date Thu, 05 Sep 2019 01:21:38 GMT
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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