Forrest Iandola
Forrest Iandola
The current version of company.py fails to parse some of the information on LinkedIn company pages. It was failing to find a class called `artdeco-card.p4.mb3`. The code that looks for...
I set up a "worker training" video: ``` turkic load train_video /path/train_video.mp4 Car --blow-radius 1 --for-training --for-training-start 0 --for-training-stop 300 --for-training-overlap 70 --for-training-tolerance 70 --for-training-mistakes 1 ``` ...and I annotated...
I'm tracing through the current code's path from "running the Boda executable on the command line" to "generating OpenCL kernels." Am I on the right track with the following interpretation...
I often name my caffe config files as `trainval.prototxt` instead of Boda's preferred `train_val.prototxt`. According to `boda cnet_ana --help`, the default prototxt path (`ptt_fn`) is: `'%(models_dir)/%(in_model)/train_val.prototxt'` In my lib/boda_cfg.xml file,...
In the [readme](https://github.com/Stability-AI/stablediffusion/blob/main/README.md), there is this graph:  My question is: what dataset of prompts was used to generate this? Is it COCO or something else?
It would be great to get batch normalization into the main branch of Caffe!
I installed the code and its dependencies. When I do `from muse_maskgit_pytorch import VQGanVAE, MaskGit, MaskGitTransformer`, it fails in muse_maskgit_pytorch when importing beartype: ``` /home/forrest/anaconda3/envs/mar2023_maskgit/lib/python3.9/site-packages/torch/onnx/_internal/_beartype.py:30: UserWarning: unhashable type: 'list' warnings.warn(f"{e}")...
Great work on this project! In Table 20 of the [LLAMA-2](https://arxiv.org/pdf/2307.09288.pdf) paper, it says that LLAMA-2 gets 77.2 accuracy on HellaSwag. The LLAMA-2 paper isn't clear on whether this is...
On Linux, I am trying to follow your exact recipe with: * cuda 11.6 * pytorch 1.12.1 ``` conda create -n paint3d python=3.8 conda activate export CUDA_HOME=/usr/local/cuda-11.6 # following directions...
I installed your code. The only change I made to your installation recipe is to add `torchvision` to requirements.txt. Then I ran your example from the readme: ``` python main.py...