[GitHub] piyushghai commented on issue #11626: [MXNET-651] MXNet Model Backwards Compatibility Checker

piyushghai commented on issue #11626: [MXNET-651] MXNet Model Backwards Compatibility Checker URL: https://github.com/apache/incubator-mxnet/pull/11626#issuecomment-408271045 @marcoabreu The Jenkins CI [1] build is giving an error on : the import statement for MXNet under the Inference

[GitHub] piyushghai commented on issue #11626: [MXNET-651] MXNet Model Backwards Compatibility Checker

piyushghai commented on issue #11626: [MXNET-651] MXNet Model Backwards Compatibility Checker URL: https://github.com/apache/incubator-mxnet/pull/11626#issuecomment-405675518 @marcoabreu ping. This is an automated message

[GitHub] piyushghai commented on issue #11626: [MXNET-651] MXNet Model Backwards Compatibility Checker

piyushghai commented on issue #11626: [MXNET-651] MXNet Model Backwards Compatibility Checker URL: https://github.com/apache/incubator-mxnet/pull/11626#issuecomment-404623349 @marcoabreu I have removed real world datasets, and instead I am now using randomly generated datasets. I have

[GitHub] piyushghai commented on issue #11626: [MXNET-651] MXNet Model Backwards Compatibility Checker

piyushghai commented on issue #11626: [MXNET-651] MXNet Model Backwards Compatibility Checker URL: https://github.com/apache/incubator-mxnet/pull/11626#issuecomment-404271838 @ThomasDelteil What are your thoughts on using real world datasets v/s random ones for this ?

[GitHub] piyushghai commented on issue #11626: [MXNET-651] MXNet Model Backwards Compatibility Checker

piyushghai commented on issue #11626: [MXNET-651] MXNet Model Backwards Compatibility Checker URL: https://github.com/apache/incubator-mxnet/pull/11626#issuecomment-404268363 @marcoabreu I totally agree with you. I'm currently working adding toy examples which use random weights on simple

[GitHub] piyushghai commented on issue #11626: [MXNET-651] MXNet Model Backwards Compatibility Checker

piyushghai commented on issue #11626: [MXNET-651] MXNet Model Backwards Compatibility Checker URL: https://github.com/apache/incubator-mxnet/pull/11626#issuecomment-404054059 We cannot unittest it as we are not testing the various model save/load APIs on the same version. We are trying to

[GitHub] piyushghai commented on issue #11626: [MXNET-651] MXNet Model Backwards Compatibility Checker

piyushghai commented on issue #11626: [MXNET-651] MXNet Model Backwards Compatibility Checker URL: https://github.com/apache/incubator-mxnet/pull/11626#issuecomment-404053135 I am checking the following scenarios to save/load models : 1. Hybridized models import/export API from [Gluon

[GitHub] piyushghai commented on issue #11626: [MXNET-651] MXNet Model Backwards Compatibility Checker

piyushghai commented on issue #11626: [MXNET-651] MXNet Model Backwards Compatibility Checker URL: https://github.com/apache/incubator-mxnet/pull/11626#issuecomment-404051396 @szha Here's what this PR does : "Backward compatibility aims to check whether models trained on earlier