{"action":"created","issue":{"url":"https://api.github.com/repos/ROCmSoftwarePlatform/tensorflow/issues/28","repository_url":"https://api.github.com/repos/ROCmSoftwarePlatform/tensorflow","labels_url":"https://api.github.com/repos/ROCmSoftwarePlatform/tensorflow/issues/28/labels{/name}","comments_url":"https://api.github.com/repos/ROCmSoftwarePlatform/tensorflow/issues/28/comments","events_url":"https://api.github.com/repos/ROCmSoftwarePlatform/tensorflow/issues/28/events","html_url":"https://github.com/ROCmSoftwarePlatform/tensorflow/issues/28","id":310249830,"number":28,"title":"XLA JIT significantly slower than without XLA","user":{"login":"dibyendudas0708","id":5771516,"avatar_url":"https://avatars1.githubusercontent.com/u/5771516?v=4","gravatar_id":"","url":"https://api.github.com/users/dibyendudas0708","html_url":"https://github.com/dibyendudas0708","followers_url":"https://api.github.com/users/dibyendudas0708/followers","following_url":"https://api.github.com/users/dibyendudas0708/following{/other_user}","gists_url":"https://api.github.com/users/dibyendudas0708/gists{/gist_id}","starred_url":"https://api.github.com/users/dibyendudas0708/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/dibyendudas0708/subscriptions","organizations_url":"https://api.github.com/users/dibyendudas0708/orgs","repos_url":"https://api.github.com/users/dibyendudas0708/repos","events_url":"https://api.github.com/users/dibyendudas0708/events{/privacy}","received_events_url":"https://api.github.com/users/dibyendudas0708/received_events","type":"User","site_admin":false},"labels":[{"id":721479044,"url":"https://api.github.com/repos/ROCmSoftwarePlatform/tensorflow/labels/enhancement","name":"enhancement","color":"84b6eb","default":true}],"state":"open","locked":false,"assignee":{"login":"whchung","id":1673574,"avatar_url":"https://avatars1.githubusercontent.com/u/1673574?v=4","gravatar_id":"","url":"https://api.github.com/users/whchung","html_url":"https://github.com/whchung","followers_url":"https://api.github.com/users/whchung/followers","following_url":"https://api.github.com/users/whchung/following{/other_user}","gists_url":"https://api.github.com/users/whchung/gists{/gist_id}","starred_url":"https://api.github.com/users/whchung/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/whchung/subscriptions","organizations_url":"https://api.github.com/users/whchung/orgs","repos_url":"https://api.github.com/users/whchung/repos","events_url":"https://api.github.com/users/whchung/events{/privacy}","received_events_url":"https://api.github.com/users/whchung/received_events","type":"User","site_admin":false},"assignees":[{"login":"whchung","id":1673574,"avatar_url":"https://avatars1.githubusercontent.com/u/1673574?v=4","gravatar_id":"","url":"https://api.github.com/users/whchung","html_url":"https://github.com/whchung","followers_url":"https://api.github.com/users/whchung/followers","following_url":"https://api.github.com/users/whchung/following{/other_user}","gists_url":"https://api.github.com/users/whchung/gists{/gist_id}","starred_url":"https://api.github.com/users/whchung/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/whchung/subscriptions","organizations_url":"https://api.github.com/users/whchung/orgs","repos_url":"https://api.github.com/users/whchung/repos","events_url":"https://api.github.com/users/whchung/events{/privacy}","received_events_url":"https://api.github.com/users/whchung/received_events","type":"User","site_admin":false}],"milestone":null,"comments":0,"created_at":"2018-03-31T15:43:50Z","updated_at":"2018-04-02T15:20:29Z","closed_at":null,"author_association":"NONE","body":"When using XLA JIT and targeting the GPU, performance is significantly slower than when run without XLA on the same GPU. The frozen model and the code to run have already been shared. You can re-create the issue using the same model/code on Polaris/Vega. The performance drop is of the order of 15x-30x. My guess is that the auto tuner for conv may not be working (or not working correctly) under XLA. "},"comment":{"url":"https://api.github.com/repos/ROCmSoftwarePlatform/tensorflow/issues/comments/377953618","html_url":"https://github.com/ROCmSoftwarePlatform/tensorflow/issues/28#issuecomment-377953618","issue_url":"https://api.github.com/repos/ROCmSoftwarePlatform/tensorflow/issues/28","id":377953618,"user":{"login":"dagamayank","id":8866610,"avatar_url":"https://avatars0.githubusercontent.com/u/8866610?v=4","gravatar_id":"","url":"https://api.github.com/users/dagamayank","html_url":"https://github.com/dagamayank","followers_url":"https://api.github.com/users/dagamayank/followers","following_url":"https://api.github.com/users/dagamayank/following{/other_user}","gists_url":"https://api.github.com/users/dagamayank/gists{/gist_id}","starred_url":"https://api.github.com/users/dagamayank/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/dagamayank/subscriptions","organizations_url":"https://api.github.com/users/dagamayank/orgs","repos_url":"https://api.github.com/users/dagamayank/repos","events_url":"https://api.github.com/users/dagamayank/events{/privacy}","received_events_url":"https://api.github.com/users/dagamayank/received_events","type":"User","site_admin":false},"created_at":"2018-04-02T15:20:29Z","updated_at":"2018-04-02T15:20:29Z","author_association":"NONE","body":"@dibyendudas0708 XLA has been known to be slower than native path at least in the TF v1.3 realm. Feel free to create PRs if you find the fix for this."}}
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