Open chenhao324 opened 3 months ago
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Hello author, thank you for reading my question. My question is that when I was training a model using the PaddlePaddle framework, the program stopped executing when it reached the first convolution calculation, and there was no response. I waited for a long time without making any progress
What data are you using? I haven't encountered this problem using mscoco
data.
ps. my paddle version is
paddlepaddle-gpu==2.4.2
# or
paddlepaddle-gpu==2.5.0
I am using imagenetVID data, which is converted to Coco format and can run successfully on the PyTorch framework. However, this issue occurs on the Paddle framework. To match my cuda10.1 environment, I am using PaddlePaddle=2.3.2
please upgrade paddlepaddle
and try again.
Why is it that when I run the program to the first convolution operation of the hgnet_v2. py file, there is no progress in the program, and the graphics card memory usage is relatively low (about 2GB), and there are no errors reported at this time![1711100553906](https://github.com/lyuwenyu/RT-DETR/assets/63954515/f2c83d78-8f65-4eae-b520-9256ccfe0308)