[GitHub] [incubator-mxnet] bartekkuncer edited a comment on issue #20967: Unittest failures seen in test_dnnl
bartekkuncer edited a comment on issue #20967: URL: https://github.com/apache/incubator-mxnet/issues/20967#issuecomment-1073966623 Hi @DickJC123, 1. https://jenkins.mxnet-ci.com/blue/organizations/jenkins/mxnet-validation%2Funix-cpu/detail/PR-20965/5/pipeline/288/ test_fc_subgraph.py::test_fc_transpose[mxnet.numpy-int8-True-data_shape2] - Not related to oneDNN upgrade, @anko-intel analyzed it and here is PR with the fix https://github.com/apache/incubator-mxnet/pull/20969 2. https://jenkins.mxnet-ci.com/blue/organizations/jenkins/mxnet-validation%2Funix-cpu/detail/PR-20965/2/pipeline/ (test_conv_subgraph.py::test_pos_conv_act_add[True-gelu-True-data_shape1]) AND https://jenkins.mxnet-ci.com/blue/organizations/jenkins/mxnet-validation%2Funix-cpu/detail/PR-20965/3/pipeline/288 (test_conv_subgraph.py::test_pos_conv_act_add[True-leakyrelu-True-data_shape1]) - These two suffer from reading data from a neither updated nor zeroed register during convolution with the number of input channels lower than 4 and blocked weights (https://github.com/apache/incubator-mxnet/issues/20826). The full fix will arrive in v2.6 of oneDNN, therefore temporarily we will force plain format (at least on this axis) to make the convolution work properly and the test to pass PR: https://github.com/apache/incubator-mxnet/pull/20970. -- 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 go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@mxnet.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: issues-unsubscr...@mxnet.apache.org For additional commands, e-mail: issues-h...@mxnet.apache.org
[GitHub] [incubator-mxnet] bartekkuncer edited a comment on issue #20967: Unittest failures seen in test_dnnl
bartekkuncer edited a comment on issue #20967: URL: https://github.com/apache/incubator-mxnet/issues/20967#issuecomment-1073966623 Hi @DickJC123, 1. https://jenkins.mxnet-ci.com/blue/organizations/jenkins/mxnet-validation%2Funix-cpu/detail/PR-20965/5/pipeline/288/ test_fc_subgraph.py::test_fc_transpose[mxnet.numpy-int8-True-data_shape2] - Not related to oneDNN upgrade, @anko-intel analyzed it and here is PR with the fix https://github.com/apache/incubator-mxnet/pull/20969 2. https://jenkins.mxnet-ci.com/blue/organizations/jenkins/mxnet-validation%2Funix-cpu/detail/PR-20965/2/pipeline/ (test_conv_subgraph.py::test_pos_conv_act_add[True-gelu-True-data_shape1]) AND https://jenkins.mxnet-ci.com/blue/organizations/jenkins/mxnet-validation%2Funix-cpu/detail/PR-20965/3/pipeline/288 (test_conv_subgraph.py::test_pos_conv_act_add[True-leakyrelu-True-data_shape1]) - These two suffer from reading data from a neither updated nor zeroed register during convolution with the number of input channels lower than 4 and blocked weights (https://github.com/apache/incubator-mxnet/issues/20826). The full fix will arrive in v2.6 of oneDNN, therefore temporarily we will force plain format (at least in this axis) to make the convolution work properly and the test to pass PR: https://github.com/apache/incubator-mxnet/pull/20970. -- 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 go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@mxnet.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: issues-unsubscr...@mxnet.apache.org For additional commands, e-mail: issues-h...@mxnet.apache.org
[GitHub] [incubator-mxnet] bartekkuncer edited a comment on issue #20967: Unittest failures seen in test_dnnl
bartekkuncer edited a comment on issue #20967: URL: https://github.com/apache/incubator-mxnet/issues/20967#issuecomment-1073966623 Hi @DickJC123, 1. https://jenkins.mxnet-ci.com/blue/organizations/jenkins/mxnet-validation%2Funix-cpu/detail/PR-20965/5/pipeline/288/ test_fc_subgraph.py::test_fc_transpose[mxnet.numpy-int8-True-data_shape2] - Not related to oneDNN upgrade, @anko-intel analyzed it and here is PR with the fix https://github.com/apache/incubator-mxnet/pull/20969 2. https://jenkins.mxnet-ci.com/blue/organizations/jenkins/mxnet-validation%2Funix-cpu/detail/PR-20965/2/pipeline/ (test_conv_subgraph.py::test_pos_conv_act_add[True-gelu-True-data_shape1]) AND https://jenkins.mxnet-ci.com/blue/organizations/jenkins/mxnet-validation%2Funix-cpu/detail/PR-20965/3/pipeline/288 (test_conv_subgraph.py::test_pos_conv_act_add[True-leakyrelu-True-data_shape1]) - These two suffer from reading data from a neither updated nor zeroed register during convolution with the number of input channels lower than 4 and blocked weights (https://github.com/apache/incubator-mxnet/issues/20826). The full fix will arrive in v2.6 of oneDNN and temporarily we will force plain format (at least in this axis) to make the convolution work properly and the test to pass PR: https://github.com/apache/incubator-mxnet/pull/20970. -- 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 go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@mxnet.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: issues-unsubscr...@mxnet.apache.org For additional commands, e-mail: issues-h...@mxnet.apache.org
[GitHub] [incubator-mxnet] bartekkuncer edited a comment on issue #20967: Unittest failures seen in test_dnnl
bartekkuncer edited a comment on issue #20967: URL: https://github.com/apache/incubator-mxnet/issues/20967#issuecomment-1073966623 Hi @DickJC123, 1. https://jenkins.mxnet-ci.com/blue/organizations/jenkins/mxnet-validation%2Funix-cpu/detail/PR-20965/5/pipeline/288/ test_fc_subgraph.py::test_fc_transpose[mxnet.numpy-int8-True-data_shape2] - Not related to oneDNN upgrade, @anko-intel analyzed it and here is PR with the fix https://github.com/apache/incubator-mxnet/pull/20969 2. https://jenkins.mxnet-ci.com/blue/organizations/jenkins/mxnet-validation%2Funix-cpu/detail/PR-20965/2/pipeline/ (test_conv_subgraph.py::test_pos_conv_act_add[True-gelu-True-data_shape1]) AND https://jenkins.mxnet-ci.com/blue/organizations/jenkins/mxnet-validation%2Funix-cpu/detail/PR-20965/3/pipeline/288 (test_conv_subgraph.py::test_pos_conv_act_add[True-leakyrelu-True-data_shape1]) - These two suffer from reading data from a neither updated nor zeroed register during convolution with the number of input channels lower than 4 and blocked weights (https://github.com/apache/incubator-mxnet/issues/20826). The full fix will arrive in v2.6 and temporarily we will force plain format (at least in this axis) to make the convolution work properly and the test to pass PR: https://github.com/apache/incubator-mxnet/pull/20970. -- 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 go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@mxnet.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: issues-unsubscr...@mxnet.apache.org For additional commands, e-mail: issues-h...@mxnet.apache.org
