{"action":"created","comment":{"url":"https://api.github.com/repos/odlgroup/odl/pulls/comments/44866376","id":44866376,"diff_hunk":"@@ -1320,7 +1349,7 @@ def adjoint(self):\n                                       ''.format(self.domain.field,\n                                                 self.range.field))\n         return MatVecOperator(self.range, self.domain,\n-                              np.asarray(np.asmatrix(self.matrix).H))\n+                              self.matrix.conj().T)","path":"odl/space/ntuples.py","position":266,"original_position":266,"commit_id":"e60323313dc7fff1fcf19270483961de0241aa71","original_commit_id":"e60323313dc7fff1fcf19270483961de0241aa71","user":{"login":"adler-j","id":2202312,"avatar_url":"https://avatars.githubusercontent.com/u/2202312?v=3","gravatar_id":"","url":"https://api.github.com/users/adler-j","html_url":"https://github.com/adler-j","followers_url":"https://api.github.com/users/adler-j/followers","following_url":"https://api.github.com/users/adler-j/following{/other_user}","gists_url":"https://api.github.com/users/adler-j/gists{/gist_id}","starred_url":"https://api.github.com/users/adler-j/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/adler-j/subscriptions","organizations_url":"https://api.github.com/users/adler-j/orgs","repos_url":"https://api.github.com/users/adler-j/repos","events_url":"https://api.github.com/users/adler-j/events{/privacy}","received_events_url":"https://api.github.com/users/adler-j/received_events","type":"User","site_admin":false},"body":"Okay, ill yield this one!","created_at":"2015-11-15T01:46:29Z","updated_at":"2015-11-15T01:46:29Z","html_url":"https://github.com/odlgroup/odl/pull/13#discussion_r44866376","pull_request_url":"https://api.github.com/repos/odlgroup/odl/pulls/13","_links":{"self":{"href":"https://api.github.com/repos/odlgroup/odl/pulls/comments/44866376"},"html":{"href":"https://github.com/odlgroup/odl/pull/13#discussion_r44866376"},"pull_request":{"href":"https://api.github.com/repos/odlgroup/odl/pulls/13"}}},"pull_request":{"url":"https://api.github.com/repos/odlgroup/odl/pulls/13","id":50426330,"html_url":"https://github.com/odlgroup/odl/pull/13","diff_url":"https://github.com/odlgroup/odl/pull/13.diff","patch_url":"https://github.com/odlgroup/odl/pull/13.patch","issue_url":"https://api.github.com/repos/odlgroup/odl/issues/13","number":13,"state":"open","locked":false,"title":"Lp spaces, p-norms and weighting","user":{"login":"kohr-h","id":5030250,"avatar_url":"https://avatars.githubusercontent.com/u/5030250?v=3","gravatar_id":"","url":"https://api.github.com/users/kohr-h","html_url":"https://github.com/kohr-h","followers_url":"https://api.github.com/users/kohr-h/followers","following_url":"https://api.github.com/users/kohr-h/following{/other_user}","gists_url":"https://api.github.com/users/kohr-h/gists{/gist_id}","starred_url":"https://api.github.com/users/kohr-h/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/kohr-h/subscriptions","organizations_url":"https://api.github.com/users/kohr-h/orgs","repos_url":"https://api.github.com/users/kohr-h/repos","events_url":"https://api.github.com/users/kohr-h/events{/privacy}","received_events_url":"https://api.github.com/users/kohr-h/received_events","type":"User","site_admin":false},"body":"SO the Lp spaces and corresponding p-norms are ready now, together with additional vector (diagonal matrix weighting) in CUDA spaces. Some things need a review and some other things future optimizations, mostly marked with TODO.\r\n\r\n- I enabled the possibility to pass a `CudaNtuples.Vector` into `CudaNtuples.element()`, which basically only checks data type and then re-wraps.\r\n- p-norms with non-integer powers are not supported in CUDA since the `__pow__` implementation does not. Maybe it's too expensive and we never want that feature.\r\n- Vector weighting is implemented via vector multiplication, which creates a new array and is slow. We probably want a native C++ implementation where the weights are a `CudaFn.Vector`, and the products and sums are calculated on the fly without creating an intermediate array.\r\n- Some further choices may be debatable, e.g. the `dist_using_inner` default settings, which are a bit different from the NumPy spaces since there is a native `dist()` for CUDA vectors which is used by default.","created_at":"2015-11-11T19:40:08Z","updated_at":"2015-11-15T01:46:29Z","closed_at":null,"merged_at":null,"merge_commit_sha":"a8942c9fc67926ef14376e415bdd33d83e99d76a","assignee":null,"milestone":null,"commits_url":"https://api.github.com/repos/odlgroup/odl/pulls/13/commits","review_comments_url":"https://api.github.com/repos/odlgroup/odl/pulls/13/comments","review_comment_url":"https://api.github.com/repos/odlgroup/odl/pulls/comments{/number}","comments_url":"https://api.github.com/repos/odlgroup/odl/issues/13/comments","statuses_url":"https://api.github.com/repos/odlgroup/odl/statuses/e60323313dc7fff1fcf19270483961de0241aa71","head":{"label":"odlgroup:issue-246__l2discr","ref":"issue-246__l2discr","sha":"e60323313dc7fff1fcf19270483961de0241aa71","user":{"login":"odlgroup","id":15667171,"avatar_url":"https://avatars.githubusercontent.com/u/15667171?v=3","gravatar_id":"","url":"https://api.github.com/users/odlgroup","html_url":"https://github.com/odlgroup","followers_url":"https://api.github.com/users/odlgroup/followers","following_url":"https://api.github.com/users/odlgroup/following{/other_user}","gists_url":"https://api.github.com/users/odlgroup/gists{/gist_id}","starred_url":"https://api.github.com/users/odlgroup/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/odlgroup/subscriptions","organizations_url":"https://api.github.com/users/odlgroup/orgs","repos_url":"https://api.github.com/users/odlgroup/repos","events_url":"https://api.github.com/users/odlgroup/events{/privacy}","received_events_url":"https://api.github.com/users/odlgroup/received_events","type":"Organization","site_admin":false},"repo":{"id":45596393,"name":"odl","full_name":"odlgroup/odl","owner":{"login":"odlgroup","id":15667171,"avatar_url":"https://avatars.githubusercontent.com/u/15667171?v=3","gravatar_id":"","url":"https://api.github.com/users/odlgroup","html_url":"https://github.com/odlgroup","followers_url":"https://api.github.com/users/odlgroup/followers","following_url":"https://api.github.com/users/odlgroup/following{/other_user}","gists_url":"https://api.github.com/users/odlgroup/gists{/gist_id}","starred_url":"https://api.github.com/users/odlgroup/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/odlgroup/subscriptions","organizations_url":"https://api.github.com/users/odlgroup/orgs","repos_url":"https://api.github.com/users/odlgroup/repos","events_url":"https://api.github.com/users/odlgroup/events{/privacy}","received_events_url":"https://api.github.com/users/odlgroup/received_events","type":"Organization","site_admin":false},"private":false,"html_url":"https://github.com/odlgroup/odl","description":"Operator 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