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advise:set "is_train" of operator be "false" when its gradient parameter is null #8571

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starimpact opened this issue Nov 7, 2017 · 4 comments

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@starimpact
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if we fix the parameters of an operator in the proceeding of training, (that means we do not learn the parameters), then its operator should be in an "is_train=false" mode. the "forward" should use the inference code in it.

@starimpact starimpact changed the title advise:set "is_train" of operator be "false" when its parameter gradient is null advise:set "is_train" of operator be "false" when its gradient parameter is null Nov 7, 2017
@szha
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szha commented Feb 6, 2018

@apache/mxnet-committers: This issue has been inactive for the past 90 days. It has no label and needs triage.

For general "how-to" questions, our user forum (and Chinese version) is a good place to get help.

@indhub
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indhub commented Apr 10, 2018

@starimpact Could you please add more information on why this is a problem and add small code to reproduce the problem? How did you freeze the parameter? Are you using the symbol or the imperative API?

@lanking520
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@starimpact any updates? Are you still facing this issue?

@ankkhedia
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@sandeep-krishnamurthy @nswamy @anirudh2290 Could you please close this issue due to lack of activity.

@starimpact Please feel free to re-open in case closed in error

@szha szha closed this as completed Nov 1, 2018
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