I would like to access the bit representation of a float tensor on a GPU and perform manipulations such as shifting, anding, etc. on it. I am wondering the best way to do this and if it’s even possible in PyTorch. Thanks for the help!
I also need this feature!
We only support bitwise operations on Integer Tensor types at the moment.
The supported operations are listed here:
You can write your own C/C++ function that takes in the CUDA float* pointer and you can manipulate it yourself. Here’s an example of writing a CUDA extension: https://github.com/longcw/yolo2-pytorch/tree/master/layers/reorg
Alternatively, you can use the cupy package, and write your whole CUDA kernel / manipulation in python scripts, for example: https://github.com/szagoruyko/pyinn/blob/master/pyinn/conv2d_depthwise.py
What exactly is your use-case?