Widen the hint label rect so it doesn't reserve right-side space for the
hidden backspace button, preventing unnecessary text eliding. Also show
the blinking cursor over the hint and add trailing ellipsis to hint
strings for consistency.
Co-authored-by: Cursor <cursoragent@cursor.com>
* debug why so slow
* forget after
* i'm not sure why this is a thing
* better forget connecting reset
* ????
* has lag
* fix
* clean up
* should be fine
* add networks to end, remove bad scroller restore logic that sometimes starts in the middle
* works
* almost
* wifi slash
* clean up
* clean up
* opactiy
* more clean up
* more clean up
* set enabled and network missing on regain network
* cmt
* Revert "Revert tgwarp again (#37161)"
This reverts commit 45099e7fcd.
* Weird uv sizes
* Fix interleaving
* Fix on CPU
* make CPU safe
* Prevent corruption without clone
* Claude knows speeed
* fix interleaving
* less kernels
* blob caching
* This is still slightly faster
* Comment for blob cache
* correct from bottom alignment
* temp
* fix scale animation w/ btn_y
* home settings are always 64
* cleanup
* some clean up
* make 23 const
* rev
* more
Hi! The point of this pr is to make the model run easier to read. On the latest tinygrad numpy().flatten() empirically does the same thing as the internal contiguous().realize().uop.base.buffer.numpy(). numpy() is also documented (docstrings), which can assist new contributors in learning what each potential execution does. Torq_boi or yassine, I know you want proof in the code base, so here it is. As of tinygrad commit 2f55005:
in tinygrad_repo/tinygrad/tensor.py
Lines 316-318 (def _buffer): ensure the tenso is contiguous() and realized() before accessing the raw buffer.
Line 378 (def numpy): Wraps the buffer access and adds a reshape to match the tensor shape.
self._buffer() is what executes contiguous().realize() and returns the buffer object.
Calling numpy() on that buffer object returns a 1D array (defined in tinygrad/device.py:193 via np.frombuffer).
The reshape(self.shape) at the end of Tensor.numpy() then adds dimensions to that 1D array. The added .flatten() removes those dimensions, flattening it back to a 1D array. Effectively the same as what is currently done, but less complex.
* Revert "revert tg calib and opencl cleanup (#37113)"
This reverts commit 51312afd3d.
* power draw is a lil higher
* just don't miss a cycle
* fix warp targets
* fix tinygrad dep
* Revert "Remove all the OpenCL (#37105)"
This reverts commit d5cbb89d84.
* Revert "rm common/mat.h"
This reverts commit 4ce701150a.
* Revert "Calibrate in tg (#36621)"
This reverts commit 593c3a0c8e.
David