Update MXNet example in README.md #872
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cc @yuxihu, @apeforest @eric-haibin-lin, thanks for the PR, could you update it with DCO? |
yuxihu
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Feb 28, 2019
| batch_axis=0) | ||
| label = gluon.utils.split_and_load(batch.label[0], ctx_list=[context], | ||
| batch_axis=0) | ||
| data = batch.data[0].as_in_context(context) |
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Could you please apply the same change to the imagenet example?
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update imagenet example Signed-off-by: Haibin Lin <linhaibin.eric@gmail.com>
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Thanks for the PR! Looks like pytorch/vision#768 broke our integration tests. I'll see if they make a fix today, otherwise, I'll fix our integration tests and ask you to rebase. |
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update imagenet example Signed-off-by: Haibin Lin <linhaibin.eric@gmail.com>
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No need to call
split_and_load, which is meant for splitting data when the number of context is greater than 1. Callingas_in_contextshould be sufficient. Also I made the training loop simpler.