8 commits

Author	SHA1	Message	Date
chenyu	2e7c2780a9	CLANG -> CPU (#9189)	2025-02-20 18:03:09 -05:00
chenyu	6c39aa4a6b	adjust cuda ci test targets (#9014)	2025-02-10 15:29:59 -05:00
George Hotz	d9d4dd6756	faster ci [pr] (#7348)	2024-10-29 14:01:44 +08:00
Nicklas Boman	6e86472cd6	fix typing for test to run in py38 (#4930)	2024-06-12 13:22:30 -04:00
qazal	637f482588	configure derandomizing CI tests (#4793)	2024-05-31 17:06:58 +03:00
George Hotz	afa9753d39	ruff cleanup (#4594) ... * check editor config * no editorconfig, it doesn't work * ruff cleanups	2024-05-14 21:16:14 -07:00
chenyu	6bbbeb93ac	skip a few clang test that took > 30 seconds in CI (#4126) ... * skip slow CLANG test test_train_cifar * skip those too * and that * only CI * one more	2024-04-10 02:00:34 -04:00
David Friehs	275971e616	fix: align .split, .chunk and .unsqueeze with torch, add fuzz tests (#3505) ... this fixes .split where self.shape[dim] is not perfectly divisible by sizes - .chunk is always the wrong choice here: - tensor((5,)).split(4) should result in (tensor((4,)), tensor((1,))) was (tensor((3,)), tensor((2,))) this also fixes issues in .split and .chunk where tensors with shape[dim]==0 lead to empty tuples/lists when the tensor itself should have been returned instead because tinygrad is expected to fail in all cases where torch fails tinygrad will now be strict regarding sizes having to sum up to passed dimension in .split, num having to be non-null for .chunk and only allowing valid dims in .unsqueeze	2024-02-28 17:06:39 -08:00