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I have just installed IQA-PyTorch on my M2 Mac mini and subjectively it seems to run quite slowly.
On examining your code I note that there are no device specification for "mps".
Before I launch an…
RobBW updated
2 weeks ago
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### System Info
System: MacBook M1 Pro (MPS)
`accelerate==0.33.0`
`peft==0.12.0`
`torch==2.4.1`
`transformers==4.44.0`
### Who can help?
_No response_
### Information
- [ ] The official e…
vrmer updated
3 weeks ago
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### 🐛 Describe the bug
I've been tracing an issue that arose while using yolov5 object detector/classifier on the recently supported 'mps' device. The issue first manifested itself as objects being d…
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### 🐛 Describe the bug
```python
import time
import torch
from torchvision import models
device = torch.device("mps")
model = models.resnet18()
model.to(device)
model.eval()
for i in rang…
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Any chance you can include the capability to run on Apple Silicon M1/M2/M3/M4 processors with metal, mps, or mlx support.
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### Describe the bug
When setting `flair.device` to `mps`, the following error is thrown during training:
```
RuntimeError: User specified an unsupported autocast device_type 'mps'
```
### To R…
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**Describe the bug**
Method mlx.core.conv_general is significantly slower than PyTorch analog. Can vary from 10x to 150x slower.
**To Reproduce**
Just run the attached code.
Include code snipp…
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Hi,
I am a regular user of ITensor new to Yao. I am wondering if the package has the functionality of producing an approximate quantum circuit of one and two qubit gates given an MPS (may be importe…
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### Description
Hi!
I was just following the instructions on https://developer.apple.com/metal/jax/ but as soon as I run the print command from a file I got the following output + error
```
Platfo…
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We're doing some work over at https://github.com/huggingface/candle to improve our Metal backend, I've been collecting various gputraces for the different frameworks and was wondering if there was a d…