{"action":"created","issue":{"url":"https://api.github.com/repos/tensorflow/tensorflow/issues/20462","repository_url":"https://api.github.com/repos/tensorflow/tensorflow","labels_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/20462/labels{/name}","comments_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/20462/comments","events_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/20462/events","html_url":"https://github.com/tensorflow/tensorflow/issues/20462","id":337335494,"node_id":"MDU6SXNzdWUzMzczMzU0OTQ=","number":20462,"title":"[Feature Request] Exponential Integral function Ei","user":{"login":"robertmaxton42","id":13130661,"node_id":"MDQ6VXNlcjEzMTMwNjYx","avatar_url":"https://avatars2.githubusercontent.com/u/13130661?v=4","gravatar_id":"","url":"https://api.github.com/users/robertmaxton42","html_url":"https://github.com/robertmaxton42","followers_url":"https://api.github.com/users/robertmaxton42/followers","following_url":"https://api.github.com/users/robertmaxton42/following{/other_user}","gists_url":"https://api.github.com/users/robertmaxton42/gists{/gist_id}","starred_url":"https://api.github.com/users/robertmaxton42/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/robertmaxton42/subscriptions","organizations_url":"https://api.github.com/users/robertmaxton42/orgs","repos_url":"https://api.github.com/users/robertmaxton42/repos","events_url":"https://api.github.com/users/robertmaxton42/events{/privacy}","received_events_url":"https://api.github.com/users/robertmaxton42/received_events","type":"User","site_admin":false},"labels":[{"id":386191887,"node_id":"MDU6TGFiZWwzODYxOTE4ODc=","url":"https://api.github.com/repos/tensorflow/tensorflow/labels/stat:awaiting%20response","name":"stat:awaiting response","color":"5319e7","default":false}],"state":"open","locked":false,"assignee":{"login":"reedwm","id":6510203,"node_id":"MDQ6VXNlcjY1MTAyMDM=","avatar_url":"https://avatars2.githubusercontent.com/u/6510203?v=4","gravatar_id":"","url":"https://api.github.com/users/reedwm","html_url":"https://github.com/reedwm","followers_url":"https://api.github.com/users/reedwm/followers","following_url":"https://api.github.com/users/reedwm/following{/other_user}","gists_url":"https://api.github.com/users/reedwm/gists{/gist_id}","starred_url":"https://api.github.com/users/reedwm/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/reedwm/subscriptions","organizations_url":"https://api.github.com/users/reedwm/orgs","repos_url":"https://api.github.com/users/reedwm/repos","events_url":"https://api.github.com/users/reedwm/events{/privacy}","received_events_url":"https://api.github.com/users/reedwm/received_events","type":"User","site_admin":false},"assignees":[{"login":"reedwm","id":6510203,"node_id":"MDQ6VXNlcjY1MTAyMDM=","avatar_url":"https://avatars2.githubusercontent.com/u/6510203?v=4","gravatar_id":"","url":"https://api.github.com/users/reedwm","html_url":"https://github.com/reedwm","followers_url":"https://api.github.com/users/reedwm/followers","following_url":"https://api.github.com/users/reedwm/following{/other_user}","gists_url":"https://api.github.com/users/reedwm/gists{/gist_id}","starred_url":"https://api.github.com/users/reedwm/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/reedwm/subscriptions","organizations_url":"https://api.github.com/users/reedwm/orgs","repos_url":"https://api.github.com/users/reedwm/repos","events_url":"https://api.github.com/users/reedwm/events{/privacy}","received_events_url":"https://api.github.com/users/reedwm/received_events","type":"User","site_admin":false}],"milestone":null,"comments":0,"created_at":"2018-07-02T00:17:38Z","updated_at":"2018-07-02T12:42:00Z","closed_at":null,"author_association":"NONE","body":"No form because it's not a bug. -- Well, I assume it isn't a bug. As it happens, while Tensorflow does implement the log-gamma and regularized incomplete gamma functions, as far as I know no combination of provided functions can be used to obtain the exponential integral function Ei (it's a 0/0 problem for the most part). As far as I know, my only recourse at this point is writing a custom op and gradient with SciPy's expi function. It'd be cool if that were addressed in the next version.\r\n\r\nThanks!"},"comment":{"url":"https://api.github.com/repos/tensorflow/tensorflow/issues/comments/401791557","html_url":"https://github.com/tensorflow/tensorflow/issues/20462#issuecomment-401791557","issue_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/20462","id":401791557,"node_id":"MDEyOklzc3VlQ29tbWVudDQwMTc5MTU1Nw==","user":{"login":"tensorflowbutler","id":28546240,"node_id":"MDQ6VXNlcjI4NTQ2MjQw","avatar_url":"https://avatars2.githubusercontent.com/u/28546240?v=4","gravatar_id":"","url":"https://api.github.com/users/tensorflowbutler","html_url":"https://github.com/tensorflowbutler","followers_url":"https://api.github.com/users/tensorflowbutler/followers","following_url":"https://api.github.com/users/tensorflowbutler/following{/other_user}","gists_url":"https://api.github.com/users/tensorflowbutler/gists{/gist_id}","starred_url":"https://api.github.com/users/tensorflowbutler/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/tensorflowbutler/subscriptions","organizations_url":"https://api.github.com/users/tensorflowbutler/orgs","repos_url":"https://api.github.com/users/tensorflowbutler/repos","events_url":"https://api.github.com/users/tensorflowbutler/events{/privacy}","received_events_url":"https://api.github.com/users/tensorflowbutler/received_events","type":"User","site_admin":false},"created_at":"2018-07-02T12:42:00Z","updated_at":"2018-07-02T12:42:00Z","author_association":"MEMBER","body":"Thank you for your post. We noticed you have not filled out the following field in the issue template. Could you update them if they are relevant in your case, or leave them as N/A? Thanks.\nHave I written custom code\nOS Platform and Distribution\nTensorFlow installed from\nTensorFlow version\nBazel version\nCUDA/cuDNN version\nGPU model and memory\nExact command to reproduce"}}
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