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In the generative adversarial network, I added 2-3 layers of deformable convolution, resulting in a large graphics card footprint. We did network training on the A800, which was not possible due to insufficient graphics cards. I would like to ask how three-dimensional deformable convolution can be used and trained on a normal graphics card?
Thank you for sharing your experience so that 3D deformable convolution can be used in the construction of networks.
The text was updated successfully, but these errors were encountered:
In the generative adversarial network, I added 2-3 layers of deformable convolution, resulting in a large graphics card footprint. We did network training on the A800, which was not possible due to insufficient graphics cards. I would like to ask how three-dimensional deformable convolution can be used and trained on a normal graphics card?
Thank you for sharing your experience so that 3D deformable convolution can be used in the construction of networks.
The text was updated successfully, but these errors were encountered: