{"action":"created","issue":{"url":"https://api.github.com/repos/tensorflow/tensorflow/issues/11922","repository_url":"https://api.github.com/repos/tensorflow/tensorflow","labels_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/11922/labels{/name}","comments_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/11922/comments","events_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/11922/events","html_url":"https://github.com/tensorflow/tensorflow/pull/11922","id":246899179,"number":11922,"title":"Modify implementation of 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a slightly different implementation of tf.nn.batch_normalization so that per-example gradients needed by differentially private stochastic gradient descent can be calculated for gamma and beta in batch norm layers."},"comment":{"url":"https://api.github.com/repos/tensorflow/tensorflow/issues/comments/332662535","html_url":"https://github.com/tensorflow/tensorflow/pull/11922#issuecomment-332662535","issue_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/11922","id":332662535,"user":{"login":"liuzjmike","id":15717157,"avatar_url":"https://avatars1.githubusercontent.com/u/15717157?v=4","gravatar_id":"","url":"https://api.github.com/users/liuzjmike","html_url":"https://github.com/liuzjmike","followers_url":"https://api.github.com/users/liuzjmike/followers","following_url":"https://api.github.com/users/liuzjmike/following{/other_user}","gists_url":"https://api.github.com/users/liuzjmike/gists{/gist_id}","starred_url":"https://api.github.com/users/liuzjmike/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/liuzjmike/subscriptions","organizations_url":"https://api.github.com/users/liuzjmike/orgs","repos_url":"https://api.github.com/users/liuzjmike/repos","events_url":"https://api.github.com/users/liuzjmike/events{/privacy}","received_events_url":"https://api.github.com/users/liuzjmike/received_events","type":"User","site_admin":false},"created_at":"2017-09-27T21:34:54Z","updated_at":"2017-09-27T21:34:54Z","author_association":"NONE","body":"When I do bazel run I get this\r\n```\r\n> bazel run //tensorflow/python:batch_norm_benchmark\r\nINFO: Found 1 target...\r\nTarget //tensorflow/python:batch_norm_benchmark up-to-date:\r\n  bazel-bin/tensorflow/python/batch_norm_benchmark\r\nINFO: Elapsed time: 389.044s, Critical Path: 289.23s\r\n\r\nINFO: Running command line: bazel-bin/tensorflow/python/batch_norm_benchmark\r\n\r\n----------------------------------------------------------------------\r\nRan 0 tests in 0.000s\r\n\r\nOK\r\n```\r\nThere are other jobs running on the cluster so reading the target was slow. But according to the output I think no test was run. Any idea why?\r\n\r\nI will also try again when the cluster is less busy."}}
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