{"payload":{"feedbackUrl":"https://github.com/orgs/community/discussions/53140","repo":{"id":105143181,"defaultBranch":"master","name":"pytorch","ownerLogin":"zhang1990215","currentUserCanPush":false,"isFork":true,"isEmpty":false,"createdAt":"2017-09-28T12:03:40.000Z","ownerAvatar":"https://avatars.githubusercontent.com/u/9366062?v=4","public":true,"private":false,"isOrgOwned":false},"refInfo":{"name":"","listCacheKey":"v0:1617560158.9985201","currentOid":""},"activityList":{"items":[{"before":"7b3242d5f737d4a63870f8d6a008a9ae43a2fac9","after":"724a1ba2de87b20af0787309199a3589bcd5f684","ref":"refs/heads/master","pushedAt":"2023-06-20T01:26:12.558Z","pushType":"push","commitsCount":7,"pusher":{"login":"zhang1990215","name":"Zhang Shengqiang","path":"/zhang1990215","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/9366062?s=80&v=4"},"commit":{"message":"Tidy __all__ under torch._refs (#103712)\n\n- Added ops that were missing under `__all__`.\n- Some misc changes to helper functions to make them private.\n- Set correct `fn.__module__` for `fn` created by `_make_alias`, when called in another module.\n\nAll modification largely references results from a hacked version of `test_public_bindings::test_correct_module_names`.\nBy default `torch._refs` is not included in the test because it is technically a private package.\n\nPull Request resolved: https://github.com/pytorch/pytorch/pull/103712\nApproved by: https://github.com/lezcano","shortMessageHtmlLink":"Tidy __all__ under torch._refs (<a class=\"issue-link js-issue-link\" data-error-text=\"Failed to load title\" data-id=\"1759626462\" data-permission-text=\"Title is private\" data-url=\"https://github.com/pytorch/pytorch/issues/103712\" data-hovercard-type=\"pull_request\" data-hovercard-url=\"/pytorch/pytorch/pull/103712/hovercard\" href=\"https://github.com/pytorch/pytorch/pull/103712\">pytorch#103712</a>)"}},{"before":"7b3242d5f737d4a63870f8d6a008a9ae43a2fac9","after":"724a1ba2de87b20af0787309199a3589bcd5f684","ref":"refs/heads/master","pushedAt":"2023-06-20T01:26:12.499Z","pushType":"push","commitsCount":7,"pusher":{"login":"zhang1990215","name":"Zhang Shengqiang","path":"/zhang1990215","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/9366062?s=80&v=4"},"commit":{"message":"Tidy __all__ under torch._refs (#103712)\n\n- Added ops that were missing under `__all__`.\n- Some misc changes to helper functions to make them private.\n- Set correct `fn.__module__` for `fn` created by `_make_alias`, when called in another module.\n\nAll modification largely references results from a hacked version of `test_public_bindings::test_correct_module_names`.\nBy default `torch._refs` is not included in the test because it is technically a private package.\n\nPull Request resolved: https://github.com/pytorch/pytorch/pull/103712\nApproved by: https://github.com/lezcano","shortMessageHtmlLink":"Tidy __all__ under torch._refs (<a class=\"issue-link js-issue-link\" data-error-text=\"Failed to load title\" data-id=\"1759626462\" data-permission-text=\"Title is private\" data-url=\"https://github.com/pytorch/pytorch/issues/103712\" data-hovercard-type=\"pull_request\" data-hovercard-url=\"/pytorch/pytorch/pull/103712/hovercard\" href=\"https://github.com/pytorch/pytorch/pull/103712\">pytorch#103712</a>)"}},{"before":"cfe1a41b011a7a9b9ffa66cb33f156e19b3e3003","after":"7b3242d5f737d4a63870f8d6a008a9ae43a2fac9","ref":"refs/heads/master","pushedAt":"2023-06-19T09:21:41.869Z","pushType":"push","commitsCount":10000,"pusher":{"login":"zhang1990215","name":"Zhang Shengqiang","path":"/zhang1990215","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/9366062?s=80&v=4"},"commit":{"message":"[PyTorch Vulkan] fix bug of `aten::cat` for concatenation of 3D tensors at channel dim with channels as multiple of 4 (#103718)\n\nSummary: The original `cat_feature_mult4ch` assumes input tensors are of 4d and use `tensor.sizes()[1]` to obtain the channel info of the tensor. This will cause bugs when the input tensors are of 3D. We generalize `cat_feature_mult4ch` to make it cover both 3D and 4D.\n\nTest Plan:\nTest for 3D tensors with channels as multiple of 4 is show below. Full test result is in P771032677.\n```\n(base) luwei@luwei-mbp fbsource % buck run --target-platforms ovr_config//platform/macos:arm64-fbsource //xplat/caffe2:pt_vulkan_api_test_binAppleMac\\#macosx-arm64 -c pt.vulkan_full_precision=1 -- --gtest_filter=\"*cat_3d_dim0_mult4ch_success*\"\nBuilding: finished in 0.1 sec (100%) 263/2812 jobs, 0/2812 updated\n  Total time: 0.1 sec\nBUILD SUCCEEDED\nRunning main() from xplat/third-party/gmock/googletest-1.12.1/googletest/src/gtest_main.cc\nNote: Google Test filter = *cat_3d_dim0_mult4ch_success*\n[==========] Running 1 test from 1 test suite.\n[----------] Global test environment set-up.\n[----------] 1 test from VulkanAPITest\n[ RUN      ] VulkanAPITest.cat_3d_dim0_mult4ch_success\n[       OK ] VulkanAPITest.cat_3d_dim0_mult4ch_success (129 ms)\n[----------] 1 test from VulkanAPITest (129 ms total)\n\n[----------] Global test environment tear-down\n[==========] 1 test from 1 test suite ran. (129 ms total)\n[  PASSED  ] 1 test.\n```\n\nReviewed By: SS-JIA\n\nDifferential Revision: D46755034\n\nPull Request resolved: https://github.com/pytorch/pytorch/pull/103718\nApproved by: https://github.com/SS-JIA","shortMessageHtmlLink":"[PyTorch Vulkan] fix bug of <code>aten::cat</code> for concatenation of 3D tenso…"}},{"before":"cfe1a41b011a7a9b9ffa66cb33f156e19b3e3003","after":"7b3242d5f737d4a63870f8d6a008a9ae43a2fac9","ref":"refs/heads/master","pushedAt":"2023-06-19T09:21:41.824Z","pushType":"push","commitsCount":10000,"pusher":{"login":"zhang1990215","name":"Zhang Shengqiang","path":"/zhang1990215","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/9366062?s=80&v=4"},"commit":{"message":"[PyTorch Vulkan] fix bug of `aten::cat` for concatenation of 3D tensors at channel dim with channels as multiple of 4 (#103718)\n\nSummary: The original `cat_feature_mult4ch` assumes input tensors are of 4d and use `tensor.sizes()[1]` to obtain the channel info of the tensor. This will cause bugs when the input tensors are of 3D. We generalize `cat_feature_mult4ch` to make it cover both 3D and 4D.\n\nTest Plan:\nTest for 3D tensors with channels as multiple of 4 is show below. Full test result is in P771032677.\n```\n(base) luwei@luwei-mbp fbsource % buck run --target-platforms ovr_config//platform/macos:arm64-fbsource //xplat/caffe2:pt_vulkan_api_test_binAppleMac\\#macosx-arm64 -c pt.vulkan_full_precision=1 -- --gtest_filter=\"*cat_3d_dim0_mult4ch_success*\"\nBuilding: finished in 0.1 sec (100%) 263/2812 jobs, 0/2812 updated\n  Total time: 0.1 sec\nBUILD SUCCEEDED\nRunning main() from xplat/third-party/gmock/googletest-1.12.1/googletest/src/gtest_main.cc\nNote: Google Test filter = *cat_3d_dim0_mult4ch_success*\n[==========] Running 1 test from 1 test suite.\n[----------] Global test environment set-up.\n[----------] 1 test from VulkanAPITest\n[ RUN      ] VulkanAPITest.cat_3d_dim0_mult4ch_success\n[       OK ] VulkanAPITest.cat_3d_dim0_mult4ch_success (129 ms)\n[----------] 1 test from VulkanAPITest (129 ms total)\n\n[----------] Global test environment tear-down\n[==========] 1 test from 1 test suite ran. (129 ms total)\n[  PASSED  ] 1 test.\n```\n\nReviewed By: SS-JIA\n\nDifferential Revision: D46755034\n\nPull Request resolved: https://github.com/pytorch/pytorch/pull/103718\nApproved by: https://github.com/SS-JIA","shortMessageHtmlLink":"[PyTorch Vulkan] fix bug of <code>aten::cat</code> for concatenation of 3D tenso…"}}],"hasNextPage":false,"hasPreviousPage":false,"activityType":"all","actor":null,"timePeriod":"all","sort":"DESC","perPage":30,"cursor":"djE6ks8AAAADRNBP7gA","startCursor":null,"endCursor":null}},"title":"Activity · zhang1990215/pytorch"}