Comments (1)
Ah yeah sorry the 3D MRI experiments use a lot of GPU memory. The batch_size is actually the total number of voxels (x_train) since you need all the samples in order to take the Fourier transform to compute the loss. One way to reduce memory usage is to just decrease the voxel grid resolution (RES).
from fourier-feature-networks.
Related Issues (20)
- Readme images HOT 1
- 3D CT Projection HOT 1
- 3D_shape_ocupancy HOT 2
- Error with 3D Shape reconstruction HOT 1
- Project page down? HOT 1
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- No jax, pytorch cnn
- How to download the Text and Natural image dataset? HOT 1
- Which jax version to use?
- Is it possible to add time parameter on the input? HOT 7
- Demo Imports Broken
- Some Questions HOT 1
- Parameters a_j and b_j
- 2D Image regression HOT 1
- Can't run when using neural-tangents 0.3.2 HOT 4
- Train with multi-objects for 2D image regression HOT 1
- ShapedArray' object has no attribute 'val' HOT 3
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from fourier-feature-networks.