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Make convolution operator fully work with oneDNN v2.4+#20847
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bgawrych merged 2 commits intoapache:masterfrom Feb 1, 2022
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Make convolution operator fully work with oneDNN v2.4+#20847bgawrych merged 2 commits intoapache:masterfrom
bgawrych merged 2 commits intoapache:masterfrom
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Hey @bartekkuncer , Thanks for submitting the PR
CI supported jobs: [windows-gpu, windows-cpu, centos-cpu, website, centos-gpu, edge, unix-gpu, sanity, unix-cpu, miscellaneous, clang] Note: |
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Co-authored-by: bgawrych <bartlomiej.gawrych@intel.com>
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This was referenced Mar 21, 2022
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Description
With the upgrade of oneDNN to version 2.4+ tests/python/dnnl/subgraphs/test_conv_subgraph.py::test_pos_conv_add[True-data_shape1] started failing. During investigation of the problem it turned out that it regards only cases with amount of input channels lower than 4 and switching away from primitive with weight dnnl::format_tag ABcd4b16a4b fixes the issue. This change implements the switch in MXNet and restores the original shape in the failing test (adjusted here: #20662).
This is only temporary solution until the full fix arrives.
Problem tracking issue: #20826.
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