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| }, |
| { |
| "commit": { |
| "author": { |
| "email": "ajcbik@google.com", |
| "name": "Aart Bik", |
| "username": "aartbik" |
| }, |
| "committer": { |
| "email": "noreply@github.com", |
| "name": "GitHub", |
| "username": "web-flow" |
| }, |
| "distinct": true, |
| "id": "6dbb592d6176f77c3267b33c55ee6a611b191454", |
| "message": "[mpact][compiler] add training loop to models with simple test (#60)\n\n* [mpact][compiler] add training loop to models with simple test\r\n\r\nNote that although MPACT currently does not support autograd yet,\r\neventually we need to support this too. The current PR adds a very\r\nsimple training loop to the models, together with a simple neural\r\nnetwork that uses the training loop to learn classification of\r\nsimple sparse/dense tensors in a toy training set.\r\n\r\n* linter for darker (I tested with black?!)", |
| "timestamp": "2024-07-10T12:39:05-07:00", |
| "tree_id": "4d9b1fd9d8433e1ff5a993d2d4c7f06bf2a23e4a", |
| "url": "https://github.com/MPACT-ORG/mpact-compiler/commit/6dbb592d6176f77c3267b33c55ee6a611b191454" |
| }, |
| "date": 1720640716175, |
| "tool": "pytest", |
| "benches": [ |
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