chrishkchris commented on issue #468: Distributted module
URL: https://github.com/apache/incubator-singa/pull/468#issuecomment-528186487
Therefore, I suggest we may change the input shape assertion of the ADD
function in this way: if the input shapes of the two operands are The the same,
i
chrishkchris commented on issue #468: Distributted module
URL: https://github.com/apache/incubator-singa/pull/468#issuecomment-527824025
> 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
chrishkchris commented 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
chrishkchris commented on issue #468: Distributted module
URL: https://github.com/apache/incubator-singa/pull/468#issuecomment-523749828
merged from latest master again, the sonnx.py is the same as master
This is an automated
chrishkchris commented on issue #468: Distributted module
URL: https://github.com/apache/incubator-singa/pull/468#issuecomment-521635425
Updated on 15 Aug 2019
Latest successful build log just now after the commit 3076113 to add the
license header, which also successfully build and run t
chrishkchris commented on issue #468: Distributted module
URL: https://github.com/apache/incubator-singa/pull/468#issuecomment-521270716
I have created an additional image in AWS: Jupyter Notebook Demo
(Distributed Module) version 2 based on the current status (updated dist_new by
merging
chrishkchris commented on issue #468: Distributted module
URL: https://github.com/apache/incubator-singa/pull/468#issuecomment-521258077
Also the change in the following conda file I am not sure
![change_in_meta_yaml](https://user-images.githubusercontent.com/38325429/63027003-bcbc8780-b
chrishkchris commented on issue #468: Distributted module
URL: https://github.com/apache/incubator-singa/pull/468#issuecomment-521247206
> Just now I did a test: When I replace the merged tensor.cc file by the
latest master branch tensor.cc, the loss can be reduced again. So I just
changed
chrishkchris commented on issue #468: Distributted module
URL: https://github.com/apache/incubator-singa/pull/468#issuecomment-521235062
> Just now I did a test: When I replace the merged tensor.cc file by the
latest master branch tensor.cc, the loss can be reduced again. So I just
changed
chrishkchris commented on issue #468: Distributted module
URL: https://github.com/apache/incubator-singa/pull/468#issuecomment-521201359
Just now I did a test: When I replace the merged tensor.cc file by the
latest master branch tensor.cc, the loss can be reduced again. So I just
changed t
chrishkchris commented on issue #468: Distributted module
URL: https://github.com/apache/incubator-singa/pull/468#issuecomment-521162568
Sorry, today after I try resolving the conflict by merging with a copy of
master branch, the training loss doesn't reduced. Maybe do not merge with this
chrishkchris commented on issue #468: Distributted module
URL: https://github.com/apache/incubator-singa/pull/468#issuecomment-503007595
I have run the example code of resnet50 test in the directory
examples/autograd/resnet_dist.py using 4 AWS instances of p2.x8large (totally
32 GPUs of th
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