[jira] [Created] (MXNET-326) fix filter layout in DepthwiseConv2dBackwardFilterKernel
Ni Hui created MXNET-326: Summary: fix filter layout in DepthwiseConv2dBackwardFilterKernel Key: MXNET-326 URL: https://issues.apache.org/jira/browse/MXNET-326 Project: Apache MXNet Issue Type: Bug Reporter: Ni Hui the filter layout should be NCHW, while the exsiting code write as NHWC, which is wrong. this change fix it. -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@mxnet.apache.org For additional commands, e-mail: issues-h...@mxnet.apache.org
[jira] [Updated] (MXNET-145) Remove the dependences on the global random number generators of numpy and python
[ https://issues.apache.org/jira/browse/MXNET-145?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Deokjae Lee updated MXNET-145: -- Description: This removes the dependences of mxnet on the numpy's global random number generator. The dependences are not sound as they introduce unnecessary coupling with user's environment and confuse newcomers about seeding. (was: This removes the dependences mxnet on the numpy's global random number generator. The dependences are not sound as they introduce unnecessary coupling with user's environment and confuse newcomers about seeding.) > Remove the dependences on the global random number generators of numpy and > python > -- > > Key: MXNET-145 > URL: https://issues.apache.org/jira/browse/MXNET-145 > Project: Apache MXNet > Issue Type: Improvement >Reporter: Deokjae Lee >Priority: Major > Time Spent: 1.5h > Remaining Estimate: 0h > > This removes the dependences of mxnet on the numpy's global random number > generator. The dependences are not sound as they introduce unnecessary > coupling with user's environment and confuse newcomers about seeding. -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@mxnet.apache.org For additional commands, e-mail: issues-h...@mxnet.apache.org
[jira] [Updated] (MXNET-145) Remove the dependences on the global random number generators of numpy and python
[ https://issues.apache.org/jira/browse/MXNET-145?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Deokjae Lee updated MXNET-145: -- Description: This removes the dependences mxnet on the numpy's global random number generator. The dependences are not sound as they introduce unnecessary coupling with user's environment and confuse newcomers about seeding. (was: This PR removes the dependences of `mx.io` and `mx.initializer` on the numpy's global random number generator. The dependences are not sound as they introduce unnecessary coupling with user's environment and confuse newcomers about seeding. If this PR is accepted, I'll make similar PRs removing the dependences on python's and numpy's global random number generators from `rnn/io`, `gluon`'s samplers and so on.) > Remove the dependences on the global random number generators of numpy and > python > -- > > Key: MXNET-145 > URL: https://issues.apache.org/jira/browse/MXNET-145 > Project: Apache MXNet > Issue Type: Improvement >Reporter: Deokjae Lee >Priority: Major > Time Spent: 1h 20m > Remaining Estimate: 0h > > This removes the dependences mxnet on the numpy's global random number > generator. The dependences are not sound as they introduce unnecessary > coupling with user's environment and confuse newcomers about seeding. -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@mxnet.apache.org For additional commands, e-mail: issues-h...@mxnet.apache.org
[jira] [Updated] (MXNET-145) Remove the dependences on the global random number generators of numpy and python
[ https://issues.apache.org/jira/browse/MXNET-145?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Deokjae Lee updated MXNET-145: -- Summary: Remove the dependences on the global random number generators of numpy and python (was: Remove the dependences of mx.io and mx.initializer on the numpy's global random number generator) > Remove the dependences on the global random number generators of numpy and > python > -- > > Key: MXNET-145 > URL: https://issues.apache.org/jira/browse/MXNET-145 > Project: Apache MXNet > Issue Type: Improvement >Reporter: Deokjae Lee >Priority: Major > Time Spent: 1h 20m > Remaining Estimate: 0h > > This PR removes the dependences of `mx.io` and `mx.initializer` on the > numpy's global random number generator. The dependences are not sound as they > introduce unnecessary coupling with user's environment and confuse newcomers > about seeding. If this PR is accepted, I'll make similar PRs removing the > dependences on python's and numpy's global random number generators from > `rnn/io`, `gluon`'s samplers and so on. -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@mxnet.apache.org For additional commands, e-mail: issues-h...@mxnet.apache.org
[jira] [Created] (MXNET-325) Model Parallelism Tutorial
Indu Bharathi created MXNET-325: --- Summary: Model Parallelism Tutorial Key: MXNET-325 URL: https://issues.apache.org/jira/browse/MXNET-325 Project: Apache MXNet Issue Type: New Feature Reporter: Indu Bharathi Create a tutorial showing how model parallelism can be done using Gluon. -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@mxnet.apache.org For additional commands, e-mail: issues-h...@mxnet.apache.org
[jira] [Created] (MXNET-324) Use default nvcc when configured nvcc not present.
Kellen Sunderland created MXNET-324: --- Summary: Use default nvcc when configured nvcc not present. Key: MXNET-324 URL: https://issues.apache.org/jira/browse/MXNET-324 Project: Apache MXNet Issue Type: Bug Reporter: Kellen Sunderland This fixes an issue with the nvcc path resolution logic in the Makefile ([#10553|https://github.com/apache/incubator-mxnet/issues/10553]). In prior releases the makefile would use $(USE_CUDA_PATH)/bin/nvcc for nvcc no matter what was specified in config. For some users this was actually a good thing if 'nvcc' was not on the path, as it would specify the binary with an absolute path. However the behaviour in the prior release caused issues when cross compiling. You may have an arm and x86 cuda path specified, and you need to select the correct nvcc for your platform. This PR checks the configured nvcc to ensure it is actually on the path. If it isn't it will set the binary to the absolute path. This should match the behaviour of the prior release for users without nvcc on the path, and also allow for cross-compilation. -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@mxnet.apache.org For additional commands, e-mail: issues-h...@mxnet.apache.org
[jira] [Updated] (MXNET-155) ndarray indexing issues
[ https://issues.apache.org/jira/browse/MXNET-155?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jun Wu updated MXNET-155: - Status: To Do (was: Done) > ndarray indexing issues > --- > > Key: MXNET-155 > URL: https://issues.apache.org/jira/browse/MXNET-155 > Project: Apache MXNet > Issue Type: Bug >Reporter: Rahul Huilgol >Assignee: Jun Wu >Priority: Critical > Time Spent: 50m > Remaining Estimate: 0h > > [https://github.com/apache/incubator-mxnet/issues/9772] > https://github.com/apache/incubator-mxnet/pull/10434 -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@mxnet.apache.org For additional commands, e-mail: issues-h...@mxnet.apache.org
[jira] [Updated] (MXNET-155) ndarray indexing issues
[ https://issues.apache.org/jira/browse/MXNET-155?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jun Wu updated MXNET-155: - Resolution: Fixed Status: Done (was: To Do) > ndarray indexing issues > --- > > Key: MXNET-155 > URL: https://issues.apache.org/jira/browse/MXNET-155 > Project: Apache MXNet > Issue Type: Bug >Reporter: Rahul Huilgol >Assignee: Jun Wu >Priority: Critical > Time Spent: 50m > Remaining Estimate: 0h > > [https://github.com/apache/incubator-mxnet/issues/9772] > https://github.com/apache/incubator-mxnet/pull/10434 -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@mxnet.apache.org For additional commands, e-mail: issues-h...@mxnet.apache.org
[jira] [Updated] (MXNET-122) Create documentation page for profiler
[ https://issues.apache.org/jira/browse/MXNET-122?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Chris Olivier updated MXNET-122: Sprint: Apache Sprint 3 (was: Apache Sprint 2) > Create documentation page for profiler > -- > > Key: MXNET-122 > URL: https://issues.apache.org/jira/browse/MXNET-122 > Project: Apache MXNet > Issue Type: Improvement > Components: MXNet Engine >Reporter: Chris Olivier >Assignee: Chris Olivier >Priority: Major > Labels: profiler > -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@mxnet.apache.org For additional commands, e-mail: issues-h...@mxnet.apache.org
[jira] [Created] (MXNET-323) Broadcasting ops are slow
Lai Wei created MXNET-323: - Summary: Broadcasting ops are slow Key: MXNET-323 URL: https://issues.apache.org/jira/browse/MXNET-323 Project: Apache MXNet Issue Type: Improvement Reporter: Lai Wei https://github.com/apache/incubator-mxnet/issues/8219 -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@mxnet.apache.org For additional commands, e-mail: issues-h...@mxnet.apache.org
