[inductor][CI] also skip rexnet_100 on non-dynamic shapes#96691
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davidberard98 wants to merge 3 commits intogh/davidberard98/178/basefrom
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[inductor][CI] also skip rexnet_100 on non-dynamic shapes#96691davidberard98 wants to merge 3 commits intogh/davidberard98/178/basefrom
davidberard98 wants to merge 3 commits intogh/davidberard98/178/basefrom
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Recent failures show rexnet_100 accuracy is flaky also on non-dynamic shapes (was already disabled for dynamic shapes in #96474). The failure occurs for the same reason (stem.bn.weight.grad). e.g. https://github.com/pytorch/pytorch/actions/runs/4402868441/jobs/7710977874 [ghstack-poisoned]
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Recent failures show rexnet_100 accuracy is flaky also on non-dynamic shapes (was already disabled for dynamic shapes in #96474). The failure occurs for the same reason (stem.bn.weight.grad). e.g. https://github.com/pytorch/pytorch/actions/runs/4402868441/jobs/7710977874 cc soumith voznesenskym penguinwu anijain2305 EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng Xia-Weiwen wenzhe-nrv jiayisunx desertfire [ghstack-poisoned]
Recent failures show rexnet_100 accuracy is flaky also on non-dynamic shapes (was already disabled for dynamic shapes in #96474). The failure occurs for the same reason (stem.bn.weight.grad). e.g. https://github.com/pytorch/pytorch/actions/runs/4402868441/jobs/7710977874 cc soumith voznesenskym penguinwu anijain2305 @EikanWang jgong5 @Guobing-Chen @XiaobingSuper zhuhaozhe blzheng @Xia-Weiwen wenzhe-nrv jiayisunx desertfire [ghstack-poisoned]
davidberard98
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Recent failures show rexnet_100 accuracy is flaky also on non-dynamic shapes (was already disabled for dynamic shapes in #96474). The failure occurs for the same reason (stem.bn.weight.grad). e.g. https://github.com/pytorch/pytorch/actions/runs/4402868441/jobs/7710977874 ghstack-source-id: b762ae3 Pull Request resolved: #96691
desertfire
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This is a flaky test that's really hard to reproduce. Let's create an issue to track this.
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Recent failures show rexnet_100 accuracy is flaky also on non-dynamic shapes (was already disabled for dynamic shapes in #96474). The failure occurs for the same reason (stem.bn.weight.grad). e.g. https://github.com/pytorch/pytorch/actions/runs/4402868441/jobs/7710977874 Pull Request resolved: pytorch/pytorch#96691 Approved by: https://github.com/desertfire
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Mar 27, 2023
Recent failures show rexnet_100 accuracy is flaky also on non-dynamic shapes (was already disabled for dynamic shapes in #96474). The failure occurs for the same reason (stem.bn.weight.grad). e.g. https://github.com/pytorch/pytorch/actions/runs/4402868441/jobs/7710977874 Pull Request resolved: pytorch/pytorch#96691 Approved by: https://github.com/desertfire
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Stack from ghstack:
Recent failures show rexnet_100 accuracy is flaky also on non-dynamic shapes (was already disabled for dynamic shapes in #96474). The failure occurs for the same reason (stem.bn.weight.grad).
e.g. https://github.com/pytorch/pytorch/actions/runs/4402868441/jobs/7710977874
cc @soumith @voznesenskym @penguinwu @anijain2305 @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @Xia-Weiwen @wenzhe-nrv @jiayisunx @desertfire