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i write a huffman softmax in mxnet, but i found it was not efficient in training process. Because in mxnet network graph is changeless,that is we should update all network graph when every train sample comes, actually, we need a network graph which can be update partial according to different train sample. how can i make it. pls give me some suggestions
The text was updated successfully, but these errors were encountered:
i write a huffman softmax in mxnet, but i found it was not efficient in training process. Because in mxnet network graph is changeless,that is we should update all network graph when every train sample comes, actually, we need a network graph which can be update partial according to different train sample. how can i make it. pls give me some suggestions
The text was updated successfully, but these errors were encountered: