Train problem with paddle
chenhao324 opened this issue · comments
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
没太看懂你啥问题
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.