Phung Cheng Fei
Phung Cheng Fei
1. For DARTS complexity analysis, anyone have any idea how to derive the *(k+1)\*k/2* expression ? Why 2 input nodes ? How will the calculated value change if graph isomorphism...
@avakar Would you be able to add some code comment / documentation on the [purpose of some top-level signals](https://github.com/avakar/usbcorev/blob/master/usb.v#L1-L29) ? otherwise user would need to dive into your internals of...
Could anyone derive the equations for _α_ and _v_ for CIoU loss ? 
I have issue with simulating [usb-to-uart coding](https://github.com/osresearch/up5k/tree/master/usb) using iverilog. Please see below the output logs where `vvp` is forever stopped at simulation time step 0. ``` [phung@archlinux usb]$ iverilog -o...
May I know why [this training code](https://colab.research.google.com/drive/1v5wY22CkyvKPz21tdwSMPv0T3fsIro0D?usp=sharing#scrollTo=6qJRPd9-sEdK) still gives CUDA-out-of-memory issue even after DeepSpeed is turned on ?  See [this](https://github.com/microsoft/DeepSpeed/issues/2029#issuecomment-1229470437) for historical tracking purpose.
I am trying to convert Jordan-Wigner mapping to Bravyi-Kitaev mapping for an existing QASM file. I found [this stackexchange thread](https://quantumcomputing.stackexchange.com/a/12427/21223) to be relevant, but I am not sure whether it...
Could anyone derive the equations for _α_ and _v_ for CIoU loss ? 
For https://lablab.ai/t/stable-diffusion-img2img , it seems that only [LMSDiscreteScheduler](https://huggingface.co/docs/diffusers/api/schedulers#diffusers.LMSDiscreteScheduler) works well in [generating different variations of the pictures sketches](https://colab.research.google.com/drive/1LMDWu5TUUGjjTnis7wkYP1TY77DxaRa7#scrollTo=0O0Iy1zK0q-8&line=4&uniqifier=1), that is my observation so far Besides, it seems that both `RePaintScheduler`...
@mattdf and @ontocord were speaking about potential security concerns for open assistant and trying to issues spot. I would be helping them with this on detection of malware code in...
### Feature request 1. Adds gradient accumulation trick to https://github.com/huggingface/transformers/blob/main/examples/flax/summarization/run_summarization_flax.py 2. Adds [Activation Checkpointing feature](https://github.com/microsoft/DeepSpeed/issues/2302#issuecomment-1320728107) ### Motivation For GPU memory issue as well as faster training process. In the next...