[GitHub] [incubator-mxnet] chinakook opened a new issue #19574: symbol.tojson memory leak

chinakook opened a new issue #19574: URL: https://github.com/apache/incubator-mxnet/issues/19574 ## Description Current symbol's tojson API have memory leak. I found this from debug with https://github.com/dmlc/gluon-cv/blob/849411ed56632cd854850b07142087d599f97dcb/gluoncv/data/batchify.

[GitHub] [incubator-mxnet] github-actions[bot] commented on issue #19571: What I think is that imageRecordIter is meant to use with .rec files saved with image in BGR format, and outputs data in RGB a

github-actions[bot] commented on issue #19571: URL: https://github.com/apache/incubator-mxnet/issues/19571#issuecomment-731249320 Welcome to Apache MXNet (incubating)! We are on a mission to democratize AI, and we are glad that you are contributing to it by opening this issue. Please ma

[GitHub] [incubator-mxnet] Sunalwing closed issue #19571: What I think is that imageRecordIter is meant to use with .rec files saved with image in BGR format, and outputs data in RGB as gluon network

Sunalwing closed issue #19571: URL: https://github.com/apache/incubator-mxnet/issues/19571 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to

[GitHub] [incubator-mxnet] Sunalwing opened a new issue #19571: What I think is that imageRecordIter is meant to use with .rec files saved with image in BGR format, and outputs data in RGB as gluon ne

Sunalwing opened a new issue #19571: URL: https://github.com/apache/incubator-mxnet/issues/19571 What I think is that imageRecordIter is meant to use with .rec files saved with image in BGR format, and outputs data in RGB as gluon network expects. (By the way can you confirm that assumptio

[GitHub] [incubator-mxnet] chinakook commented on issue #14742: CPU memory leak when running train_yolov3.py

chinakook commented on issue #14742: URL: https://github.com/apache/incubator-mxnet/issues/14742#issuecomment-731193171 I've also met with this problem when runing train_faster_rcnn.py(gluon-cv) without syncbn. Set ```thread_pool=True``` can avoid this problem. --