chavez

Results 18 issues of chavez

ma1sd fails to build when the architecture is set to ARM64. It first throws "detected dubious ownership in repository" when checking the folder, then when #2008 is done (both `git...

Added options to: - Disable Inference (it consumes about 2gb of VRAM even when not active) - Disable wandb and: - if no hftoken is provided it just fills it...

As discused in the discord, this could be useful for Audio2Audio

First of all, thank you for making compilation much simpler. However, I think proper documentation is needed for better adoption of this technology More specifically the `infer_trt` function on https://github.com/VoltaML/voltaML-fast-stable-diffusion/blob/f3db5838bcba7a9f6ae207061ac4ec9ba790b45f/volta_accelerate.py#L446...

Hello, first of all thank you for releasing the training code for alpaca, we really appreaciate it. I am running the fine-tuning script on an 4xA100-SXM4-80GB, and currently getting an...

```python Traceback (most recent call last): File "/workspace/alpaca-lora/finetune.py", line 95, in trainer.train(resume_from_checkpoint=False) File "/workspace/miniconda3/lib/python3.10/site-packages/transformers/trainer.py", line 1628, in train return inner_training_loop( File "/workspace/miniconda3/lib/python3.10/site-packages/transformers/trainer.py", line 1895, in _inner_training_loop tr_loss_step = self.training_step(model, inputs)...

Getting the following: ``` ValueError: ConstantTensor's maximum size is not equal to len(data)! Got len(data)=75890688, but expected at least 101187584 bytes. Check that the ConstantTensor's size and dtype are correct....

I am trying in the followng way: ```python model = MusicGen.get_pretrained('small') attributes, _ = model._prepare_tokens_and_attributes(["sample text"], None) conditions = attributes null_conditions = ClassifierFreeGuidanceDropout(p=1.0)(conditions) conditions = conditions + null_conditions tokenized =...

**Is your feature request related to a problem? Please describe.** No. **Describe the solution you'd like** Basically display 2 stats: 1.- Network Input/Output in mbps 2.- Live count of gradient...

enhancement
help wanted

Address #15