Comments (2)
zongyi-li
commented on May 30, 2024
Oops, this piece of code is outdated. Will update it.
Thanks for the catch!
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luyifanlu
commented on May 30, 2024
I don“t know if you have tested the code that the arugment is also different.
even if i correct the arugment with same , it will report a error that size of dimension does not match previous size
https://github.com/zongyi-li/fourier_neural_operator/blob/90bbd4c9ffa84b91ec2daa86660148861989adec/scripts/fourier_on_images.py#L34
https://github.com/zongyi-li/fourier_neural_operator/blob/90bbd4c9ffa84b91ec2daa86660148861989adec/scripts/fourier_on_images.py#L116
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Related Issues (20)
- The FNO model and its derivative are not consistent. HOT 2
- Fix MLPLinear.forward - don't apply last linearity. HOT 1
- Explicityly Handle Higher-dimensional Convolutions HOT 1
- Bayesian Inverse Problems HOT 1
- FNO for complex-valued spatial data
- NS dataset question HOT 2
- .\neuraloperator\neuralop\training\callbacks.py error HOT 3
- OutputEncoderCallback problem HOT 3
- Inverse Problem in FNO HOT 2
- RuntimeError: The size of tensor a (2) must match the size of tensor b (16) at non-singleton dimension 3 HOT 1
- RuntimeError: The size of tensor a (2) must match the size of tensor b (16) at non-singleton dimension 3
- Fixing gradient backprop in #233
- MLP dropout > 0.5 causes error HOT 1
- DDP wireup requires calling from MPI
- import error in Training a TFNO on Darcy-Flow example HOT 1
- Training the neural operator in 3D spatial domain HOT 3
- Reproducing the published results
- Potential models to implement and merge
- Reproducing GINO
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