Comments (3)
By the way, I didn't use cudnn. Would that be a problem?
from dilation.
Hi @rui2016, in the dilation network, majority of the convolutions have dilation 1, so they can benefit from cuDNN in terms of memory usages. The problem should be saved if cuDNN is enabled.
from dilation.
May I know how this error was solved?
from dilation.
Related Issues (20)
- ResNet as a front-end HOT 2
- Learnable interpolation for upsampling
- Some questions in "multi-scale context aggregation by dilated convolution"
- Front-end domain adaptation code HOT 2
- Image and label mismatch while training
- How can we use 3D dilated Convolution in Lasagne HOT 2
- How do you use the Cityscape for training? HOT 2
- train context HOT 1
- Random Crops during training
- how to set the dilation? HOT 1
- CPU Training and Net architecture
- How can I get frontend_vgg prototxt?
- questions about the initiate of the contextual module
- How much GPU Memory is required/recommended to run the demo?
- unable to download pretrained weights HOT 2
- //
- Relu problem
- How to reduce number of class on this model?
- What to put inside of training/testing image/label text files?
- five years later,a question
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from dilation.