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org.apache.mxnet.issues [
All Lists
]
2018 August [
All Months
]
Page 11 (Messages 251 to 275):
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[jira] [Created] (MXNET-770) Fix flaky test in test_module.py
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Lin Yuan (JIRA)
[jira] [Updated] (MXNET-781) test
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Lin Yuan (JIRA)
[jira] [Updated] (MXNET-657) Run rnn backward fail
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Roshani Nagmote (JIRA)
[jira] [Created] (MXNET-801) non-deterministic backward of scatter_nd
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Lin Yuan (JIRA)
[jira] [Created] (MXNET-808) Ordering operators do not support kNullOp
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Lin Yuan (JIRA)
[jira] [Commented] (MXNET-657) Run rnn backward fail
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Roshani Nagmote (JIRA)
[jira] [Created] (MXNET-817) Python, Bug: Speech_recognition crashes in threaded_engine.h:379: Error: compute_ctc_loss, stat = execution failed
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Roshani Nagmote (JIRA)
[jira] [Created] (MXNET-820) Write design document and publish to cwiki
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Naveen Swamy (JIRA)
[jira] [Assigned] (MXNET-797) Prelu activation compution fault in expand_shape function
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Lin Yuan (JIRA)
[jira] [Updated] (MXNET-748) Summarize Scala issues and update CWiki
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Qing Lan (JIRA)
[jira] [Updated] (MXNET-775) Create Plan for automated publish
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Qing Lan (JIRA)
[jira] [Updated] (MXNET-784) Need to have multiple loss function while training in R
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Lin Yuan (JIRA)
[jira] [Commented] (MXNET-702) Dangling outputs and dtype != float32: Gradient computation fails
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Lin Yuan (JIRA)
[jira] [Updated] (MXNET-783) Describe input format for charRNN model
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Ankit Khedia (JIRA)
[jira] [Assigned] (MXNET-830) Training with multiple features for LSTM
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Ankit Khedia (JIRA)
[jira] [Updated] (MXNET-786) Specify layer specific learning rate while training in R
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Anirudh Acharya (JIRA)
[jira] [Updated] (MXNET-253) Benchmark AI integration design
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Qing Lan (JIRA)
[jira] [Updated] (MXNET-741) MLP example failure -- update MLP example
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Qing Lan (JIRA)
[jira] [Updated] (MXNET-797) Prelu activation compution fault in expand_shape function
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Lin Yuan (JIRA)
[jira] [Assigned] (MXNET-735) Conduct discussion on dev@ list for Scala API memory management proposal
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Denis Davydenko (JIRA)
[jira] [Updated] (MXNET-810) src/operator/./bilinear_sampler-inl.h:105: Have not implemented the data req combinations! gdata_req=0 ggrid_req=1
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Lin Yuan (JIRA)
[jira] [Assigned] (MXNET-810) src/operator/./bilinear_sampler-inl.h:105: Have not implemented the data req combinations! gdata_req=0 ggrid_req=1
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Hao Jin (JIRA)
[jira] [Updated] (MXNET-866) Document MXNet engine architecture guide
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Lin Yuan (JIRA)
[jira] [Updated] (MXNET-798) Dangling outputs and dtype != float32: Gradient computation fails
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Lin Yuan (JIRA)
[jira] [Updated] (MXNET-833) Fix char RNN example
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Anirudh Acharya (JIRA)
Page 11 (Messages 251 to 275):
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
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