{"payload":{"feedbackUrl":"https://github.com/orgs/community/discussions/53140","repo":{"id":763252961,"defaultBranch":"main","name":"deep-compression","ownerLogin":"tninesling","currentUserCanPush":false,"isFork":false,"isEmpty":false,"createdAt":"2024-02-25T23:32:25.000Z","ownerAvatar":"https://avatars.githubusercontent.com/u/13304161?v=4","public":true,"private":false,"isOrgOwned":false},"refInfo":{"name":"","listCacheKey":"v0:1708903946.2575202","currentOid":""},"activityList":{"items":[{"before":"0323ea64c5a17b77c57704a1bd1513507516bc04","after":"24177eaa898bf20af433b73d1d229a3b6aba9a0b","ref":"refs/heads/main","pushedAt":"2024-05-01T04:21:19.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"anwesag","name":null,"path":"/anwesag","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/25552444?s=80&v=4"},"commit":{"message":"file for generating pandas tables","shortMessageHtmlLink":"file for generating pandas tables"}},{"before":"767d0d75c1664513718251773597c259a5ce5b3b","after":"0323ea64c5a17b77c57704a1bd1513507516bc04","ref":"refs/heads/main","pushedAt":"2024-05-01T02:45:13.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"tninesling","name":"Taylor Ninesling","path":"/tninesling","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/13304161?s=80&v=4"},"commit":{"message":"Check in script for charts and the resulting pngs","shortMessageHtmlLink":"Check in script for charts and the resulting pngs"}},{"before":"675b05c9bc3d4de962af20e2233f70316bae79bc","after":"767d0d75c1664513718251773597c259a5ce5b3b","ref":"refs/heads/main","pushedAt":"2024-04-30T02:35:28.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"tninesling","name":"Taylor Ninesling","path":"/tninesling","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/13304161?s=80&v=4"},"commit":{"message":"Commit final evaluation results with low-percentage structured pruning and quanto-based quantization","shortMessageHtmlLink":"Commit final evaluation results with low-percentage structured prunin…"}},{"before":"d5819b2f4a138feefd616ab509f9397f67be3106","after":"675b05c9bc3d4de962af20e2233f70316bae79bc","ref":"refs/heads/main","pushedAt":"2024-04-30T01:30:06.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"tninesling","name":"Taylor Ninesling","path":"/tninesling","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/13304161?s=80&v=4"},"commit":{"message":"Add results of quick pruning experiment: even pruning a few percent drops accuracy :(","shortMessageHtmlLink":"Add results of quick pruning experiment: even pruning a few percent d…"}},{"before":"2c9d9bfd8dd7e07dca6b768b210b392c0ff93da3","after":"d5819b2f4a138feefd616ab509f9397f67be3106","ref":"refs/heads/main","pushedAt":"2024-04-29T18:24:07.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"tninesling","name":"Taylor Ninesling","path":"/tninesling","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/13304161?s=80&v=4"},"commit":{"message":"Check in latest results","shortMessageHtmlLink":"Check in latest results"}},{"before":"c21eba6ba90d6b871560905115a44f0937a630a7","after":"2c9d9bfd8dd7e07dca6b768b210b392c0ff93da3","ref":"refs/heads/main","pushedAt":"2024-04-29T03:33:51.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"tninesling","name":"Taylor Ninesling","path":"/tninesling","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/13304161?s=80&v=4"},"commit":{"message":"Adjust structured pruning parameters, and prep for next full experiment run","shortMessageHtmlLink":"Adjust structured pruning parameters, and prep for next full experime…"}},{"before":"cd1bf42a1f853d009b7115d8080eb84a81000dd5","after":"c21eba6ba90d6b871560905115a44f0937a630a7","ref":"refs/heads/main","pushedAt":"2024-04-29T00:25:05.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"tninesling","name":"Taylor Ninesling","path":"/tninesling","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/13304161?s=80&v=4"},"commit":{"message":"Ran experiments with structured pruning","shortMessageHtmlLink":"Ran experiments with structured pruning"}},{"before":"b3d9fe0cbd6cf3d6386aeeff463f752fa142aa32","after":"cd1bf42a1f853d009b7115d8080eb84a81000dd5","ref":"refs/heads/main","pushedAt":"2024-04-28T23:42:51.000Z","pushType":"push","commitsCount":2,"pusher":{"login":"anwesag","name":null,"path":"/anwesag","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/25552444?s=80&v=4"},"commit":{"message":"Merge branch 'main' of https://github.com/tninesling/deep-compression","shortMessageHtmlLink":"Merge branch 'main' of https://github.com/tninesling/deep-compression"}},{"before":"a7693d6e0456d891ad93d1e7f14f8576b2836778","after":"b3d9fe0cbd6cf3d6386aeeff463f752fa142aa32","ref":"refs/heads/main","pushedAt":"2024-04-28T23:00:32.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"tninesling","name":"Taylor Ninesling","path":"/tninesling","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/13304161?s=80&v=4"},"commit":{"message":"Add top-1 accuracy to evaluator and results","shortMessageHtmlLink":"Add top-1 accuracy to evaluator and results"}},{"before":"ca0aa492b9a54e00628065392ba67879f395b81a","after":"a7693d6e0456d891ad93d1e7f14f8576b2836778","ref":"refs/heads/main","pushedAt":"2024-04-28T21:05:41.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"tninesling","name":"Taylor Ninesling","path":"/tninesling","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/13304161?s=80&v=4"},"commit":{"message":"Reduce the number of quantizations used to cut down on the size of the cross product with prunings. Check in initial results. The results do not include any data for vgg16, which takes very long to run. Also, AlexNet always fails with global unstructured pruning","shortMessageHtmlLink":"Reduce the number of quantizations used to cut down on the size of th…"}},{"before":"1ff3c2dd501ef6e699d6faa9d34a193f5d4c435b","after":"ca0aa492b9a54e00628065392ba67879f395b81a","ref":"refs/heads/main","pushedAt":"2024-04-28T02:37:00.000Z","pushType":"push","commitsCount":2,"pusher":{"login":"tninesling","name":"Taylor Ninesling","path":"/tninesling","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/13304161?s=80&v=4"},"commit":{"message":"Add missing imports and dataloaders for mnist models; LeNet5 is getting segfaults on quantization","shortMessageHtmlLink":"Add missing imports and dataloaders for mnist models; LeNet5 is getti…"}},{"before":"67848cb1393b034d19dd12aae43622ce0aed8a3b","after":"1ff3c2dd501ef6e699d6faa9d34a193f5d4c435b","ref":"refs/heads/main","pushedAt":"2024-04-27T21:24:08.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"anwesag","name":null,"path":"/anwesag","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/25552444?s=80&v=4"},"commit":{"message":"added pruning methods","shortMessageHtmlLink":"added pruning methods"}},{"before":"12e7f9d714c57feb6c444ab1433878f53245b00a","after":"67848cb1393b034d19dd12aae43622ce0aed8a3b","ref":"refs/heads/main","pushedAt":"2024-04-27T19:34:06.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"anwesag","name":null,"path":"/anwesag","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/25552444?s=80&v=4"},"commit":{"message":"added leNet300 and leNet5 to models, loaded with trained weights","shortMessageHtmlLink":"added leNet300 and leNet5 to models, loaded with trained weights"}},{"before":"670a4c5e0dd4f1aebcc1c659610618fddf44c025","after":"12e7f9d714c57feb6c444ab1433878f53245b00a","ref":"refs/heads/main","pushedAt":"2024-04-27T19:29:43.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"anwesag","name":null,"path":"/anwesag","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/25552444?s=80&v=4"},"commit":{"message":"added trained models","shortMessageHtmlLink":"added trained models"}},{"before":"9f106c4f847e3f279aab0565c361b02b15ee1559","after":"670a4c5e0dd4f1aebcc1c659610618fddf44c025","ref":"refs/heads/main","pushedAt":"2024-04-26T17:34:47.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"tninesling","name":"Taylor Ninesling","path":"/tninesling","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/13304161?s=80&v=4"},"commit":{"message":"Set up harness to collect size and accuracy for model, pruning, quantization combinations","shortMessageHtmlLink":"Set up harness to collect size and accuracy for model, pruning, quant…"}},{"before":"a5a34f1f00d4f7509920b7c40915fe3aec35e23c","after":"9f106c4f847e3f279aab0565c361b02b15ee1559","ref":"refs/heads/main","pushedAt":"2024-04-26T01:03:55.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"anwesag","name":null,"path":"/anwesag","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/25552444?s=80&v=4"},"commit":{"message":"added different kinds of pruning","shortMessageHtmlLink":"added different kinds of pruning"}},{"before":"bbfffdfc90afef3c06d838b2bb522d920ed1986d","after":"a5a34f1f00d4f7509920b7c40915fe3aec35e23c","ref":"refs/heads/main","pushedAt":"2024-04-25T02:56:31.000Z","pushType":"push","commitsCount":2,"pusher":{"login":"anwesag","name":null,"path":"/anwesag","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/25552444?s=80&v=4"},"commit":{"message":"Merge branch 'main' of https://github.com/tninesling/deep-compression","shortMessageHtmlLink":"Merge branch 'main' of https://github.com/tninesling/deep-compression"}},{"before":"7eeceeaa394a9d8a7e755cad9c235e76e4f0b905","after":"bbfffdfc90afef3c06d838b2bb522d920ed1986d","ref":"refs/heads/main","pushedAt":"2024-04-25T02:41:10.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"tninesling","name":"Taylor Ninesling","path":"/tninesling","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/13304161?s=80&v=4"},"commit":{"message":"Loop over PyTorch quantization observers and configs","shortMessageHtmlLink":"Loop over PyTorch quantization observers and configs"}},{"before":"96e6c0be2d609ee847fb2481caafdf9e2782bfbe","after":"7eeceeaa394a9d8a7e755cad9c235e76e4f0b905","ref":"refs/heads/main","pushedAt":"2024-04-24T22:12:59.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"tninesling","name":"Taylor Ninesling","path":"/tninesling","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/13304161?s=80&v=4"},"commit":{"message":"Add example of quantizing AlexNet with Huggingface's Quanto library","shortMessageHtmlLink":"Add example of quantizing AlexNet with Huggingface's Quanto library"}},{"before":"01dfc02aae321fb61aceabee5a311c4cf93d9ab7","after":"96e6c0be2d609ee847fb2481caafdf9e2782bfbe","ref":"refs/heads/main","pushedAt":"2024-04-17T03:50:49.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"tninesling","name":"Taylor Ninesling","path":"/tninesling","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/13304161?s=80&v=4"},"commit":{"message":"Quantize AlexNet and evaluate; note that executing quantization requires DEVICE=cpu","shortMessageHtmlLink":"Quantize AlexNet and evaluate; note that executing quantization requi…"}},{"before":"24e6cea9ee0fb7b986e622da15bd0a8dd3184983","after":"01dfc02aae321fb61aceabee5a311c4cf93d9ab7","ref":"refs/heads/main","pushedAt":"2024-04-15T04:17:47.000Z","pushType":"push","commitsCount":2,"pusher":{"login":"anwesag","name":null,"path":"/anwesag","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/25552444?s=80&v=4"},"commit":{"message":"Merge branch 'main' of https://github.com/tninesling/deep-compression","shortMessageHtmlLink":"Merge branch 'main' of https://github.com/tninesling/deep-compression"}},{"before":"fd011b8bb5965a9af14ee3f7b3db1698856b4206","after":"24e6cea9ee0fb7b986e622da15bd0a8dd3184983","ref":"refs/heads/main","pushedAt":"2024-04-15T02:47:28.000Z","pushType":"push","commitsCount":2,"pusher":{"login":"tninesling","name":"Taylor Ninesling","path":"/tninesling","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/13304161?s=80&v=4"},"commit":{"message":"Evaluate VGG-16 on Kaggle ImageNet dataset","shortMessageHtmlLink":"Evaluate VGG-16 on Kaggle ImageNet dataset"}},{"before":"71c5fb546e5bd8cb01cc3242983d70c52b85f6d3","after":"fd011b8bb5965a9af14ee3f7b3db1698856b4206","ref":"refs/heads/main","pushedAt":"2024-04-14T23:29:14.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"tninesling","name":"Taylor Ninesling","path":"/tninesling","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/13304161?s=80&v=4"},"commit":{"message":"The previous attempt was trying to check label presence within a 2D predictions tensor, when we should only be comparing a single image's prediction set to it's corresponding label set. This fixes the looping to properly calculate the top-5 error.","shortMessageHtmlLink":"The previous attempt was trying to check label presence within a 2D p…"}},{"before":"247bb26712954c695fa5a4fd044413992f5800f3","after":"71c5fb546e5bd8cb01cc3242983d70c52b85f6d3","ref":"refs/heads/main","pushedAt":"2024-04-14T20:11:22.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"tninesling","name":"Taylor Ninesling","path":"/tninesling","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/13304161?s=80&v=4"},"commit":{"message":"Fix deprecation warnings about pretrained weight usage, log batch checkpoint execution times, and improve GPU utilization by making sure inputs are send to cuda when available","shortMessageHtmlLink":"Fix deprecation warnings about pretrained weight usage, log batch che…"}},{"before":"9545633ccc7d06da81b35bc5e2610b5330933490","after":"247bb26712954c695fa5a4fd044413992f5800f3","ref":"refs/heads/main","pushedAt":"2024-04-14T17:01:28.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"tninesling","name":"Taylor Ninesling","path":"/tninesling","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/13304161?s=80&v=4"},"commit":{"message":"Compare AlexNet predictions to annotation set","shortMessageHtmlLink":"Compare AlexNet predictions to annotation set"}},{"before":"4ba6c883aa207a275b1884f25e88a857cc68efc6","after":"9545633ccc7d06da81b35bc5e2610b5330933490","ref":"refs/heads/main","pushedAt":"2024-04-11T17:40:04.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"tninesling","name":"Taylor Ninesling","path":"/tninesling","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/13304161?s=80&v=4"},"commit":{"message":"Add a very basic script to load and transform ImageNet images, then feed them into AlexNet","shortMessageHtmlLink":"Add a very basic script to load and transform ImageNet images, then f…"}},{"before":"dfedb1a948ec115a5e3e416d156312c777047a53","after":"4ba6c883aa207a275b1884f25e88a857cc68efc6","ref":"refs/heads/main","pushedAt":"2024-03-12T00:42:43.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"tninesling","name":"Taylor Ninesling","path":"/tninesling","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/13304161?s=80&v=4"},"commit":{"message":"Some more info in README, torch version requirements, and a sample script to download AlexNet","shortMessageHtmlLink":"Some more info in README, torch version requirements, and a sample sc…"}},{"before":null,"after":"dfedb1a948ec115a5e3e416d156312c777047a53","ref":"refs/heads/main","pushedAt":"2024-02-25T23:32:25.000Z","pushType":"branch_creation","commitsCount":0,"pusher":{"login":"tninesling","name":"Taylor Ninesling","path":"/tninesling","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/13304161?s=80&v=4"},"commit":{"message":"Initial commit","shortMessageHtmlLink":"Initial commit"}}],"hasNextPage":false,"hasPreviousPage":false,"activityType":"all","actor":null,"timePeriod":"all","sort":"DESC","perPage":30,"cursor":"Y3Vyc29yOnYyOpK7MjAyNC0wNS0wMVQwNDoyMToxOS4wMDAwMDBazwAAAAQ-noXD","startCursor":"Y3Vyc29yOnYyOpK7MjAyNC0wNS0wMVQwNDoyMToxOS4wMDAwMDBazwAAAAQ-noXD","endCursor":"Y3Vyc29yOnYyOpK7MjAyNC0wMi0yNVQyMzozMjoyNS4wMDAwMDBazwAAAAQEz_x4"}},"title":"Activity · tninesling/deep-compression"}