Yixiang Gao
Yixiang Gao
Hi, First, thank you for implementing this package. I was using it to per-process my voice signal but I encounter a problem with the signal particularly starts at the beginning....
So far I am able to setup loading training data as well as iterate the `(image, target)` pair for running forward and backward. `MODEL=maskrcnn python3 examples/mlperf/model_train.py` `(, BoxList(num_boxes=50, image_width=1066, image_height=800,...
Just wondering if I am on the right track, here is a test script that I used ``` from tinygrad.shape.shapetracker import ShapeTracker, View v1 = View((4,2), (2,1), 0, (1,1)) v2...
Not sure if what I did was the correct way. Had to delete the commits to sync on my fork, and then I pull to resolve some specific file issues....
In short, the block size it allocates exceeds the limit of the GPU (for mine 65535) ``` Device 0: "NVIDIA GeForce RTX 2070" CUDA Driver Version / Runtime Version 12.2...
While testing my fix for training CIFAR using CUDA, this error occurred after the latest merge.  something related to the fix in #1227
Fix #1224 by adding `check_device_limit` If the allocated size is bigger than the limit, it creates additional cuda kernels with offset being manually added to the corresponding dimension index using...
Add the Zenoh middle ware notes as suggested.