-
**🚀 Feature**
A crop or pad function that allows the user to crop/pad an image but specify where the center of the new image should be based on the input image. For example, let's say I have an organ…
-
### System Info
- `transformers` version: 4.46.1
- Platform: Windows-10-10.0.19045-SP0
- Python version: 3.9.13
- Huggingface_hub version: 0.26.2
- Safetensors version: 0.4.3
- Accelerate versio…
-
ubuntu 24.04 4GPU 2080TI 22G 2680 V4 128G
2406版本
所要配置文件均为默认
几个问题:
1、训练一键启动只能完成第一步,下面的步骤需要手动启动。
2、步骤3,训练时,3-4张 GPU 报错,只能两张或单张运行
报提示:/mnt/disk2t/RVC/infer/modules/train/train.py:429: Futu…
-
Depthwise convolutions, which are currently implemented as a standard `Conv` layer with the number of groups equal to the number of input channels, seem to produce a very large number of allocations c…
-
I have two boot pads on my Happymodel ES900 RX. Which pad shoul I solder to the CLK pad on the VRX? Or it does not matter?
Another question: If my VRX has X and L channels, which channel should I s…
-
I'm trying to train a GeneratorUNet on a server with an A6000. On the first batch, it hangs and then throws this error:
```
.venv/lib/python3.12/site-packages/tinygrad/runtime/support/hcq.py", lin…
-
```
weights = Flux.kaiming_normal()(3, 3, 1)
Conv((3, 3), 1 => 1; pad = (1, 1), init = (_...) -> weights)
# Conv((3,), 3 => 1, pad=1) # 10 parameters
weights = Flux.kaiming_normal()(3, 3, 1, 1)…
-
### Summary
Pad on device is required to improve end-to-end performance of UNet Shallow. The sharded input tensor needs to be padded from 4 -> 16 channels.
Running a pad on a device tensor of sh…
-
I am creating masked convolution in equinox like below :
```
import equinox as eqx
import jax
import jax.numpy as jnp
from typing import Optional
from jaxtyping import Array, Float
class…
-
Follow on to issues #14140 and #14557.
Git tag: v0.52.0
For some combinations of input sizes, a `Conv weight matrix shape is invalid` error is thrown. The code below will fail. Note that it is…