jeremiedb commented on issue #7476: R-package RNN refactor URL: https://github.com/apache/incubator-mxnet/pull/7476#issuecomment-325228128 Improve the harmonization with model.FeedForward: same fixed.params, arg.params and aux.params input arguments. Remove redundancies between model.buckets and model.train.buckets. model.buckets is as performant on single symbol model as model.Feedforward. If using BatchNorm, single symbol works fine but the still is issue if training on list of symbols. Comment out the lstm in testthat to pass CI. Integrate CPU compatible RNN construction with raw lstm and gru cells in rnn.graph. No support for masking. Still need to test efficiency of inference and potentially adapt the inference functions. Unsure if wouldn't be preferable to assume a batch.size X seq.length input dimension to interator as it's the format expectged by symnol.RNN cell. Or add a shape detector to handle it automatically as in the python API. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org
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